1 code implementation • ICML 2020 • Yang Li, Shoaib Akbar, Junier Oliva
However, a majority of generative modeling approaches are focused solely on the joint distribution $p(x)$ and utilize models where it is intractable to obtain the conditional distribution of some arbitrary subset of features $x_u$ given the rest of the observed covariates $x_o$: $p(x_u \mid x_o)$.
no code implementations • ECCV 2020 • Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu
To address this phenomenon, we propose a novel end-to-end training scheme that brings the three separate modules into a single model.
no code implementations • EMNLP 2021 • Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng
Emotion inference in multi-turn conversations aims to predict the participant’s emotion in the next upcoming turn without knowing the participant’s response yet, and is a necessary step for applications such as dialogue planning.
no code implementations • EMNLP 2020 • Wenyue Zhang, XiaoLi Li, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng
Detecting public sentiment drift is a challenging task due to sentiment change over time.
no code implementations • 2 May 2024 • Shanshan Zhang, Mingqian Ji, Yang Li, Jian Yang
From the perspective of reducing intra-class variance, we propose to complete features for occluded regions so as to align the features of pedestrians across different occlusion patterns.
1 code implementation • 30 Apr 2024 • Xiaoxuan Han, Songlin Yang, Wei Wang, Yang Li, Jing Dong
Specifically, we employ an adversarial search strategy to search for the adversarial embedding which can transfer across different unlearned models.
no code implementations • 23 Apr 2024 • Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenweu Zhu
In the field of Artificial Intelligence for Information Technology Operations, causal discovery is pivotal for operation and maintenance of graph construction, facilitating downstream industrial tasks such as root cause analysis.
no code implementations • 19 Apr 2024 • Jingqun Tang, Chunhui Lin, Zhen Zhao, Shu Wei, Binghong Wu, Qi Liu, Hao Feng, Yang Li, Siqi Wang, Lei Liao, Wei Shi, Yuliang Liu, Hao liu, Yuan Xie, Xiang Bai, Can Huang
Text-centric visual question answering (VQA) has made great strides with the development of Multimodal Large Language Models (MLLMs), yet open-source models still fall short of leading models like GPT4V and Gemini, partly due to a lack of extensive, high-quality instruction tuning data.
2 code implementations • 12 Apr 2024 • Yang Li, Songlin Yang, Wei Wang, Ziwen He, Bo Peng, Jing Dong
We verify the effectiveness of the proposed explanations from two aspects: (1) Counterfactual Trace Visualization: the enhanced forgery images are useful to reveal artifacts by visually contrasting the original images and two different visualization methods; (2) Transferable Adversarial Attacks: the adversarial forgery images generated by attacking the detection model are able to mislead other detection models, implying the removed artifacts are general.
1 code implementation • 7 Apr 2024 • Xingyu Su, Xiaojie Zhu, Yang Li, Yong Li, Chi Chen, Paulo Esteves-Veríssimo
Amidst the surge in deep learning-based password guessing models, challenges of generating high-quality passwords and reducing duplicate passwords persist.
1 code implementation • 28 Mar 2024 • Xiaokang Zhang, Jing Zhang, Zeyao Ma, Yang Li, Bohan Zhang, Guanlin Li, Zijun Yao, Kangli Xu, Jinchang Zhou, Daniel Zhang-li, Jifan Yu, Shu Zhao, Juanzi Li, Jie Tang
We introduce TableLLM, a robust large language model (LLM) with 13 billion parameters, purpose-built for proficiently handling tabular data manipulation tasks, whether they are embedded within documents or spreadsheets, catering to real-world office scenarios.
no code implementations • 27 Mar 2024 • Ruikai Cui, Weizhe Liu, Weixuan Sun, Senbo Wang, Taizhang Shang, Yang Li, Xibin Song, Han Yan, Zhennan Wu, Shenzhou Chen, Hongdong Li, Pan Ji
3D shape generation aims to produce innovative 3D content adhering to specific conditions and constraints.
no code implementations • 24 Mar 2024 • Han Yan, Yang Li, Zhennan Wu, Shenzhou Chen, Weixuan Sun, Taizhang Shang, Weizhe Liu, Tian Chen, Xiaqiang Dai, Chao Ma, Hongdong Li, Pan Ji
We present Frankenstein, a diffusion-based framework that can generate semantic-compositional 3D scenes in a single pass.
1 code implementation • 23 Mar 2024 • Nishant Kumar, Ziyan Tao, Jaikirat Singh, Yang Li, Peiwen Sun, Binghui Zhao, Stefan Gumhold
Image fusion typically employs non-invertible neural networks to merge multiple source images into a single fused image.
no code implementations • 18 Mar 2024 • Yang Li, Qiuyi Huang, Chong Zhong, Danjuan Yang, Meiyan Li, A. H. Welsh, Aiyi Liu, Bo Fu, Catherien C. Liu, Xingtao Zhou
Inspired by the complex relationships between OU and the high correlation between the (continuous) outcome labels (Spherical Equivalent and Axial Length), we propose a framework of copula-enhanced adapter convolutional neural network (CNN) learning with OU UWF fundus images (OUCopula) for joint prediction of multiple clinical scores.
no code implementations • 12 Mar 2024 • Yao Liang, Yuwei Wang, Yang Li, Yi Zeng
In response to this, inspired by the idea that the functions of the brain are shaped by its geometric structure, this paper integrates this idea into LoRA technology and proposes a new matrix transformation-based reparameterization method for efficient fine-tuning, named Matrix-Transformation based Low-Rank Adaptation (MTLoRA).
1 code implementation • 7 Mar 2024 • Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang
Recently, because of the high-quality representations of contrastive learning methods, rehearsal-based contrastive continual learning has been proposed to explore how to continually learn transferable representation embeddings to avoid the catastrophic forgetting issue in traditional continual settings.
no code implementations • 6 Mar 2024 • Nan Lu, Quan Ouyang, Yang Li, Changfu Zou
Accurate electrical load forecasting is of great importance for the efficient operation and control of modern power systems.
no code implementations • 6 Mar 2024 • Quan Ouyang, Nourallah Ghaeminezhad, Yang Li, Torsten Wik, Changfu Zou
Lithium-ion battery packs demand effective active equalization systems to enhance their usable capacity and lifetime.
no code implementations • 3 Mar 2024 • Yifang Xu, Chenglei Peng, Ming Li, Yang Li, Sidan Du
Deep convolutional neural networks (DCNNs) have achieved great success in monocular depth estimation (MDE).
no code implementations • 29 Feb 2024 • Yi Zeng, Feifei Zhao, Yuxuan Zhao, Dongcheng Zhao, Enmeng Lu, Qian Zhang, Yuwei Wang, Hui Feng, Zhuoya Zhao, Jihang Wang, Qingqun Kong, Yinqian Sun, Yang Li, Guobin Shen, Bing Han, Yiting Dong, Wenxuan Pan, Xiang He, Aorigele Bao, Jin Wang
In this paper, we introduce a Brain-inspired and Self-based Artificial Intelligence (BriSe AI) paradigm.
no code implementations • 26 Feb 2024 • Hanbing Liu, Jingge Wang, Xuan Zhang, Ye Guo, Yang Li
Specifically, we construct a transfer curriculum over the source and intermediate domains based on Wasserstein distance, motivated by theoretical analysis of CDA.
no code implementations • 23 Feb 2024 • Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski
Open ad hoc teamwork further complicates this challenge by considering environments with a changing number of teammates, referred to as open teams.
1 code implementation • 23 Feb 2024 • Lu Ye, Ze Tao, Yong Huang, Yang Li
In this paper, we introduce ChunkAttention, a prefix-aware self-attention module that can detect matching prompt prefixes across multiple requests and share their key/value tensors in memory at runtime to improve the memory utilization of KV cache.
no code implementations • 21 Feb 2024 • Yang Li, Wenyi Tan, Chenxing Zhao, Shuangju Zhou, Xinkai Liang, Quan Pan
This involves incorporating a specially designed adversarial loss and covert constraint loss to guarantee the adversarial and covert nature of the camouflage in the physical world.
no code implementations • 21 Feb 2024 • Lei Pan, Yunshi Lan, Yang Li, Weining Qian
Among existing methods for UTST tasks, attention masking approach and Large Language Models (LLMs) are deemed as two pioneering methods.
no code implementations • 20 Feb 2024 • Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra
This study delves into how weight parameters in speech recognition models influence the overall power consumption of these models.
no code implementations • 19 Feb 2024 • Yang Li, WenHao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan
The visualization of learning dynamics effectively demonstrates that AgA successfully achieves alignment between individual and collective objectives.
1 code implementation • 18 Feb 2024 • Xiaokai Zhang, Na Zhu, Cheng Qin, Yang Li, Zhenbing Zeng, Tuo Leng
The symbolic part is a formal system built on FormalGeo, which can automatically perform geomertic relational reasoning and algebraic calculations and organize the solving process into a solution hypertree with conditions as hypernodes and theorems as hyperedges.
no code implementations • 12 Feb 2024 • Mateusz Łajszczak, Guillermo Cámbara, Yang Li, Fatih Beyhan, Arent van Korlaar, Fan Yang, Arnaud Joly, Álvaro Martín-Cortinas, Ammar Abbas, Adam Michalski, Alexis Moinet, Sri Karlapati, Ewa Muszyńska, Haohan Guo, Bartosz Putrycz, Soledad López Gambino, Kayeon Yoo, Elena Sokolova, Thomas Drugman
Echoing the widely-reported "emergent abilities" of large language models when trained on increasing volume of data, we show that BASE TTS variants built with 10K+ hours and 500M+ parameters begin to demonstrate natural prosody on textually complex sentences.
no code implementations • 1 Feb 2024 • Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng
Efficient parallel computing has become a pivotal element in advancing artificial intelligence.
no code implementations • 31 Jan 2024 • Yang Li, Songlin Yang, Wei Wang, Jing Dong
The previous methods either failed to accurately fit the face region or lost the interactive generative ability with other existing concepts in T2I models.
no code implementations • 30 Jan 2024 • Hao Zhang, Qingfeng Lin, Yang Li, Lei Cheng, Yik-Chung Wu
This problem is even more severe in cell-free networks as there are many of these parameters to be acquired.
no code implementations • 30 Jan 2024 • Zhennan Wu, Yang Li, Han Yan, Taizhang Shang, Weixuan Sun, Senbo Wang, Ruikai Cui, Weizhe Liu, Hiroyuki Sato, Hongdong Li, Pan Ji
A variational auto-encoder is employed to compress the tri-planes into the latent tri-plane space, on which the denoising diffusion process is performed.
no code implementations • 27 Jan 2024 • Zhaoyang Qu, Yunchang Dong, Yang Li, Siqi Song, Tao Jiang, Min Li, Qiming Wang, Lei Wang, Xiaoyong Bo, Jiye Zang, Qi Xu
Unfortunately, this approach tends to overlook the inherent topological correlations within the non-Euclidean spatial attributes of power grid data, consequently leading to diminished accuracy in attack localization.
no code implementations • 27 Jan 2024 • Yang Li, Doudou Zhang, Jianli Xiao
Additionally, the use of a transfer learning strategy enables our method to be on par with state-of-the-art VLR methods.
no code implementations • 25 Jan 2024 • Yang Li, Xiaoming Lyu, Kuo Zhan, Haoyu Ji, Lei Qin, JianAn Huang
In comparison to other machine learning analysis, our method used small amount of SERS data to allow a simple and rapid exosome detection, which enables a timely subsequent study of cell-cell interactions, communication mechanisms, and disease mechanisms in life sciences.
no code implementations • 24 Jan 2024 • Weinan Tong, Jiaxu Zhu, Jun Chen, Shiyin Kang, Tao Jiang, Yang Li, Zhiyong Wu, Helen Meng
We use a higher compression ratio on subbands with less information to improve the information density and focus on modeling subbands with more information.
1 code implementation • 22 Jan 2024 • Yang Li, Xing Zhang, Bo Lei, Qianying Zhao, Min Wei, Zheyan Qu, Wenbo Wang
Simulation results show that the performance of the proposed algorithms is comparable to that of the exhaustive search method, and the deep learning-based algorithm significantly reduces the execution time of the algorithm.
no code implementations • 18 Jan 2024 • Changgu Chen, Junwei Shu, Lianggangxu Chen, Gaoqi He, Changbo Wang, Yang Li
However, exerting control over the motion of objects in videos generated by any video diffusion model is a challenging problem.
no code implementations • 11 Jan 2024 • Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
To this end, we present a comprehensive study on the integration of machine learning (ML) techniques into Huawei Cloud's OptVerse AI Solver, which aims to mitigate the scarcity of real-world mathematical programming instances, and to surpass the capabilities of traditional optimization techniques.
1 code implementation • 8 Jan 2024 • Han Wang, Yanjie Wang, Yang Li, Can Huang
In this paper, we propose a novel Global Video Text Spotting Transformer GloTSFormer to model the tracking problem as global associations and utilize the Gaussian Wasserstein distance to guide the morphological correlation between frames.
1 code implementation • 6 Jan 2024 • Dexu Kong, Anping Zhang, Yang Li
Dynamic community detection methods often lack effective mechanisms to ensure temporal consistency, hindering the analysis of network evolution.
no code implementations • 2 Jan 2024 • Yang Li, Chunhe Xia, Wanshuang Lin, Tianbo Wang
Therefore, we propose A Privacy Protected Blockchain-based Federated Learning Model (PPBFL) to enhance the security of federated learning and encourage active participation of nodes in model training.
no code implementations • 28 Dec 2023 • Wenyi Tan, Yang Li, Chenxing Zhao, ZhunGa Liu, Quan Pan
While ensemble models have proven effective, current research in the field of object detection typically focuses on the simple fusion of the outputs of all models, with limited attention being given to developing general adversarial patches that can function effectively in the physical world.
no code implementations • 23 Dec 2023 • Yang Li, Huaqiang Jiang, Yangkai Wu
Text-to-image generation is conducted through Generative Adversarial Networks (GANs) or transformer models.
no code implementations • 20 Dec 2023 • Xiangjuan Li, Feifan Li, Yang Li, Quan Pan
Deep reinforcement learning has advanced greatly and applied in many areas.
no code implementations • 19 Dec 2023 • Yanru Wu, Jianning Wang, Weida Wang, Yang Li
In this work, we adopt an information theoretic perspective on it and propose a framework named H-ensemble, which dynamically learns the optimal linear combination, or ensemble, of source models for the target task, using a generalization of maximal correlation regression.
no code implementations • 19 Dec 2023 • Haowei Du, Dinghao Zhang, Chen Li, Yang Li, Dongyan Zhao
Recent approaches in Incomplete Utterance Rewriting (IUR) fail to capture the source of important words, which is crucial to edit the incomplete utterance, and introduce words from irrelevant utterances.
1 code implementation • 19 Dec 2023 • Haowei Du, Quzhe Huang, Chen Li, Chen Zhang, Yang Li, Dongyan Zhao
To address this issue, we construct a \textbf{dual relation graph} where each node denotes a relation in the original KG (\textbf{primal entity graph}) and edges are constructed between relations sharing same head or tail entities.
1 code implementation • 18 Dec 2023 • Kangbo Liu, Yang Li, Yaoxin Wu, Zhaoxuan Wang, Xiaoxu Wang
While previous approaches have demonstrated notable performance, we argue that they may compromise the ternary relationship among users, items, and bundles.
no code implementations • 15 Dec 2023 • Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai J Kohlhoff, Vidhya Navalpakkam
Such a model would enable predicting subjective feedback such as overall satisfaction or aesthetic quality ratings, along with the underlying human attention or interaction heatmaps and viewing order, enabling designers and content-creation models to optimize their creation for human-centric improvements.
1 code implementation • 15 Dec 2023 • Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katie Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam
We show that the predicted rich human feedback can be leveraged to improve image generation, for example, by selecting high-quality training data to finetune and improve the generative models, or by creating masks with predicted heatmaps to inpaint the problematic regions.
1 code implementation • 14 Dec 2023 • Zhenrong Liu, Yang Li, Yi Gong, Yik-Chung Wu
This approach optimizes network parameters in the null space of the past tasks' feature representation matrix to guarantee the stability.
no code implementations • 13 Dec 2023 • Yuanbo Tang, Zhiyuan Peng, Yang Li
A hierarchical dictionary learning scheme is also proposed to ensure the algorithm's scalability on large networks, leading to a multi-scale trajectory representation.
no code implementations • 12 Dec 2023 • Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, Yi Zeng
Within the complex neuroarchitecture of the brain, astrocytes play crucial roles in development, structure, and metabolism.
1 code implementation • 7 Dec 2023 • Yijia Xu, Liqiang Zhang, Wuming Zhang, Suhong Liu, Jingwen Li, Xingang Li, Yuebin Wang, Yang Li
Road network extraction from satellite images is widely applicated in intelligent traffic management and autonomous driving fields.
no code implementations • 7 Dec 2023 • Feifei Wang, Huiyun Tang, Yang Li
To address this issue, we develop a novel personalized federated learning framework for heterogeneous data, which we refer to as FedSplit.
no code implementations • 7 Dec 2023 • Yang Li, Xinyu Zhou, Jun Zhao
The secrecy rate is the communication rate at which no information is disclosed to an eavesdropper.
2 code implementations • 6 Dec 2023 • Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Huilin Xu, Pinlong Cai, Li Chen, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Chunjing Xu, Tiancai Wang, Fei Xia, Beipeng Mu, Zhihui Peng, Dahua Lin, Yu Qiao
With the continuous maturation and application of autonomous driving technology, a systematic examination of open-source autonomous driving datasets becomes instrumental in fostering the robust evolution of the industry ecosystem.
no code implementations • 30 Nov 2023 • Yang Cui, Yang Xu, Yang Li, Yijian Wang, Xinpeng Zou
To help EMS formulate optimal dispatching schemes, a deep reinforcement learning (DRL)-based MEMG energy management scheme with renewable energy source (RES) uncertainty is proposed in this paper.
no code implementations • 30 Nov 2023 • Zhiwei Deng, Ting Chen, Yang Li
In this paper, we propose the Perceptual Group Tokenizer, a model that entirely relies on grouping operations to extract visual features and perform self-supervised representation learning, where a series of grouping operations are used to iteratively hypothesize the context for pixels or superpixels to refine feature representations.
Ranked #24 on Self-Supervised Image Classification on ImageNet
Representation Learning Self-Supervised Image Classification +2
no code implementations • 28 Nov 2023 • Yang Li, Wenjie Ma, Yuanzheng Li, Sen Li, Zhe Chen
Simulation results demonstrate that our method is capable of adequately addressing the uncertainties resulting from RES and loads, mitigating the impact of cyber-attacks on the scheduling strategy, and ensuring a stable demand supply for various energy sources.
2 code implementations • 23 Nov 2023 • Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah
Addressing this, we introduce \textsc{FinMem}, a novel LLM-based agent framework devised for financial decision-making.
no code implementations • 23 Nov 2023 • Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan
The remarkable progress in Large Language Models (LLMs) opens up new avenues for addressing planning and decision-making problems in Multi-Agent Systems (MAS).
no code implementations • 22 Nov 2023 • Yang Li, Qi'ao Zhao, Chen Lin, Zhenjie Zhang, Xiaomin Zhu
(2) The diverse semantics of side information that describes items and users from multi-level in a context different from recommendation systems.
no code implementations • 21 Nov 2023 • Yang Li, Chunhe Xia, Wei Liu, Weidong Zhou, Chen Chen, Tianbo Wang
This article proposes Blockchain-based Federated Learning (FBChain) model for federated learning parameter communication to overcome the above two problems.
1 code implementation • 15 Nov 2023 • Yunshi Lan, Xiang Li, Xin Liu, Yang Li, Wei Qin, Weining Qian
This results in a set of candidate answers.
no code implementations • 13 Nov 2023 • Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
Numerous web applications rely on solving combinatorial optimization problems, such as energy cost-aware scheduling, budget allocation on web advertising, and graph matching on social networks.
no code implementations • 7 Nov 2023 • Chong Zhong, Yang Li, Danjuan Yang, Meiyan Li, Xingyao Zhou, Bo Fu, Catherine C. Liu, A. H. Welsh
Inspired by the spirit that information extracted from the data by statistical methods can improve the prediction accuracy of deep learning models, we formulate a class of multivariate response regression models with a higher-order tensor biomarker, for the bivariate tasks of regression-classification and regression-regression.
no code implementations • 1 Nov 2023 • Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gael Le Lan, David Kant, Yangyang Shi, Forrest Iandola, Vikas Chandra
We show that the framework enhanced the audio quality across the set of collected user prompts, which were edited with reference to the training captions as exemplars.
1 code implementation • journal 2023 • Pengfei Jiang, Xiaoyan Yang, Yuanjie Chen, Wenjie Song, Yang Li
To this end, adaptive convolution is introduced to significantly improve the efficiency in speed and metrics compared to current methods.
1 code implementation • 27 Oct 2023 • Xiaokai Zhang, Na Zhu, Yiming He, Jia Zou, Qike Huang, Xiaoxiao Jin, Yanjun Guo, Chenyang Mao, Yang Li, Zhe Zhu, Dengfeng Yue, Fangzhen Zhu, Yifan Wang, Yiwen Huang, Runan Wang, Cheng Qin, Zhenbing Zeng, Shaorong Xie, Xiangfeng Luo, Tuo Leng
In this paper, we have constructed a consistent formal plane geometry system.
no code implementations • 25 Oct 2023 • Qingyuan Tian, Hanlun Zhu, Lei Wang, Yang Li, Yunshi Lan
More analyses and ablation studies show the robustness and generalization of R$^3$ prompting method in solving reasoning tasks in LLMs under noisy context.
no code implementations • 23 Oct 2023 • Xiaomin Ouyang, Xian Shuai, Yang Li, Li Pan, Xifan Zhang, Heming Fu, Sitong Cheng, Xinyan Wang, Shihua Cao, Jiang Xin, Hazel Mok, Zhenyu Yan, Doris Sau Fung Yu, Timothy Kwok, Guoliang Xing
ADMarker features a novel three-stage multi-modal federated learning architecture that can accurately detect digital biomarkers in a privacy-preserving manner.
no code implementations • 20 Oct 2023 • Yang Li, Chunhe Xia, Chang Li, Tianbo Wang
With the increasing importance of machine learning, the privacy and security of training data have become critical.
1 code implementation • 18 Oct 2023 • Yunlu Chen, Yang Li, Keli Liu, Feng Ruan
Assuming that the covariates have nonzero explanatory power for the response only through a low dimensional subspace (central mean subspace), we find that the global minimizer of the finite sample kernel learning objective is also low rank with high probability.
no code implementations • 18 Oct 2023 • Yang Li, Jiting Cao, Yan Xu, Lipeng Zhu, Zhao Yang Dong
This work proposes a Transformer-based STVSA method to address this challenge.
1 code implementation • 13 Oct 2023 • Xiaocui Yang, Wenfang Wu, Shi Feng, Ming Wang, Daling Wang, Yang Li, Qi Sun, Yifei Zhang, XiaoMing Fu, Soujanya Poria
Consequently, our work complements research on the performance of MLLMs in multimodal comprehension tasks, achieving a more comprehensive and holistic evaluation of MLLMs.
no code implementations • 12 Oct 2023 • Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li
To perform a task, recent works often require a model to learn from trace examples of the task via either supervised learning or few/many-shot prompting.
1 code implementation • 11 Oct 2023 • Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
Semantic identifier (ID) is an important concept in information retrieval that aims to preserve the semantics of objects such as documents and items inside their IDs.
1 code implementation • 10 Oct 2023 • Forrest Huang, Gang Li, Tao Li, Yang Li
Macros are building block tasks of our everyday smartphone activity (e. g., "login", or "booking a flight").
no code implementations • 8 Oct 2023 • Cheng Zhong, Zhifu Jiang, Xiangyu Zhang, Jikai Chen, Yang Li
Finally, a microgrid simulation model including multiple PV and wind DGs is built and performed in various scenarios compared to the traditional secondary frequency control method.
no code implementations • 5 Oct 2023 • Sukrita Singh, Neeraj Sarna, Yuanyuan Li, Yang Li, Agni Orfanoudaki, Michael Berger
We solve the risk-assessment problem using the conformal prediction approach, which provides prediction intervals that are guaranteed to contain the true label with a given probability.
no code implementations • 4 Oct 2023 • Limeng Wang, Xuemeng Liu, Yang Li, Duo Chang, Xing Ren
The example results show that considering the carbon trading cost and demand response under the tiered carbon trading mechanism, the total operating cost of IES is reduced by 5. 69% and the carbon emission is reduced by 17. 06%, which significantly improves the reliability, economy and low carbon performance of IES.
no code implementations • 27 Sep 2023 • Jing-Mei Yin, Yang Li, Jun-Tang Xue, Guo-Wei Zong, Zhong-Ze Fang, Lang Zou
We develop a predictive model by XGB algorithm to screen for DN.
no code implementations • 26 Sep 2023 • Yuanzheng Li, Xinxin Long, Yang Li, Yizhou Ding, Tao Yang, Zhigang Zeng
In this context, unreasonable profit distributions on the demand-supply side would lead to the conflict of interests and diminish the effectiveness of cooperative responses.
1 code implementation • 21 Sep 2023 • Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi
To instantiate this proposal, we design an adaptive rationale guidance network for fake news detection (ARG), in which SLMs selectively acquire insights on news analysis from the LLMs' rationales.
1 code implementation • 19 Sep 2023 • Shaocong Xu, Pengfei Li, Xinyu Liu, Qianpu Sun, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao
We demonstrate that learning different abstaining penalties, apart from point-wise penalty, for different types of (synthesized) outliers can further improve the performance.
no code implementations • 14 Sep 2023 • Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra
Instead, the bottleneck lies in the linear projection layers of multi-head attention and feedforward networks, constituting a substantial portion of the model size and contributing significantly to computation, memory, and power usage.
no code implementations • 14 Sep 2023 • Yang Li, Fan Zhong, Xin Wang, Shuangbing Song, Jiachen Li, Xueying Qin, Changhe Tu
The limitations of previous scoring methods and error metrics are analyzed, based on which we introduce our improved evaluation methods.
1 code implementation • 11 Sep 2023 • Jinzuomu Zhong, Yang Li, Hui Huang, Jie Liu, Zhiba Su, Jing Guo, Benlai Tang, Fengjie Zhu
While human prosody annotation contributes a lot to the performance, it is a labor-intensive and time-consuming process, often resulting in inconsistent outcomes.
no code implementations • 10 Sep 2023 • Yang Sun, Jiayang Wu, Yang Li, Xingyuan Xu, Guanghui Ren, Mengxi Tan, Sai Tak Chu, Brent E. Little, Roberto Morandotti, Arnan Mitchell, David J. Moss
Microwave photonic (MWP) transversal signal processors offer a compelling solution for realizing versatile high-speed information processing by combining the advantages of reconfigurable electrical digital signal processing and high-bandwidth photonic processing.
no code implementations • 8 Sep 2023 • Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun
Experimental results on the LibriTTS datasets demonstrate that our proposed models significantly enhance speech synthesis and editing, producing more natural and expressive speech.
no code implementations • 7 Sep 2023 • Yang Li, Yangyang Yu, Haohang Li, Zhi Chen, Khaldoun Khashanah
In financial trading contexts, LLMs serve as the decision core for trading agents, leveraging their layered memory system to integrate multi-source historical actions and market insights.
no code implementations • 5 Sep 2023 • Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui
The distributed data analytic system -- Spark is a common choice for processing massive volumes of heterogeneous data, while it is challenging to tune its parameters to achieve high performance.
no code implementations • 2 Sep 2023 • Yang Cui, Han Zhu, Yijian Wang, Lu Zhang, Yang Li
In this method, feature extraction module is composed of a two-dimensional convolutional neural network, which is used to mine the local correlation between data and obtain high-dimensional data features.
no code implementations • 25 Aug 2023 • Yubiao Yue, Xiaoqiang Shi, Li Qin, Xinyue Zhang, Yanmei Chen, Jialong Xu, Zipei Zheng, Yujun Cao, Di Liu, Zhenzhang Li, Yang Li
Due to the lack of more efficient diagnostic tools for monkeypox, its spread remains unchecked, presenting a formidable challenge to global health.
no code implementations • 25 Aug 2023 • Cheng Zhong, Yicheng Ding, Husai Wang, Jikai Chen, Jian Wang, Yang Li
In this paper, a closed-loop model predictive controller is developed that minimizes the wind farm tracking errors, the dynamical fatigue load, and and the load equalization.
no code implementations • 24 Aug 2023 • Yang Li, Wenjie Ma, Fanjin Bu, Zhen Yang, Bin Wang, Meng Han
In order to coordinate energy interactions among various communities and energy conversions among multi-energy subsystems within the multi-community integrated energy system under uncertain conditions, and achieve overall optimization and scheduling of the comprehensive energy system, this paper proposes a comprehensive scheduling model that utilizes a multi-agent deep reinforcement learning algorithm to learn load characteristics of different communities and make decisions based on this knowledge.
no code implementations • 23 Aug 2023 • Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng
This shift in focus from weight adjustment to mastering the intricacies of synaptic change offers a more flexible and dynamic pathway for neural networks to evolve and adapt.
no code implementations • 21 Aug 2023 • Yubiao Yue, Xinyu Zeng, Xiaoqiang Shi, Meiping Zhang, Fan Zhang, Yunxin Liang, Yan Liu, Zhenzhang Li, Yang Li
Deep learning-based ear disease diagnosis technology has proven effective and affordable.
1 code implementation • 11 Aug 2023 • Siyuan Shan, Yang Li, Amartya Banerjee, Junier B. Oliva
Objective and subjective evaluations show that \textit{Phoneme Hallucinator} outperforms existing VC methods for both intelligibility and speaker similarity.
no code implementations • 9 Aug 2023 • Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Mcaleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
This paper presents an empirical exploration of non-transitivity in perfect-information games, specifically focusing on Xiangqi, a traditional Chinese board game comparable in game-tree complexity to chess and shogi.
no code implementations • 9 Aug 2023 • Yijin Zhou, Fu Li, Yang Li, Youshuo Ji, Lijian Zhang, Yuanfang Chen, Wenming Zheng, Guangming Shi
The transfer module encodes the domain-specific information of source and target domains and then re-constructs the source domain's emotional pattern and the target domain's statistical characteristics into the new stylized EEG representations.
no code implementations • 7 Aug 2023 • Yang Li, Shitu Zhang, Yuanzheng Li, Jiting Cao, Shuyue Jia
Deep learning has emerged as an effective solution for addressing the challenges of short-term voltage stability assessment (STVSA) in power systems.
1 code implementation • journal 2023 • Xiaoyuan Wang, Yang Li, Adnane Boukhayma, Changbo Wang, Marc Christie
Reconstructing the shape of hand-held objects from single-view color images is a long-standing problem in computer vision and computer graphics.
1 code implementation • 30 Jul 2023 • Huayuan Ye, Chenhui Li, Yang Li, Changbo Wang
We propose a new method to efficiently express chart data in the form of images, enabling large-capacity data embedding.
no code implementations • 14 Jul 2023 • Xiaoyan Yang, Dingbo Lu, Yang Li, Chenhui Li, Changbo Wang
In recent years, novel view synthesis has gained popularity in generating high-fidelity images.
no code implementations • 3 Jul 2023 • Tianye Wang, Haoxuan Yao, Tai Sing Lee, Jiayi Hong, Yang Li, Hongfei Jiang, Ian Max Andolina, Shiming Tang
To gain deeper insights into visual processing of natural scenes, we utilized widefield calcium-imaging of primate V4 in response to many natural images, generating a large dataset of columnar-scale responses.
no code implementations • 1 Jul 2023 • Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
Inspired by the philosophy of ``think-like-a-vertex", a GAS-like (Gather-Apply-Scatter) schema is proposed to describe the computation paradigm and data flow of GNN inference.
no code implementations • 24 Jun 2023 • Yang Li, Shihan Ma, Jiamin Zhao, Qing Li, Xinjun Sheng
FSS reduced the sampling of long tracts (10% reduction in fiber length, P<0. 05), and the architectural parameters were within physiological ranges (two parameters with P<0. 05).
no code implementations • 22 Jun 2023 • Yang Li, Kangbo Liu, Ranjan Satapathy, Suhang Wang, Erik Cambria
The objective of this study is to provide an overview of the current state-of-the-art in the field and highlight the latest trends in the development of recommender systems.
no code implementations • 20 Jun 2023 • Yang Li, Shenglan Yuan, Linghongzhi Lu, Xianbin Liu
In this paper, we present large deviation theory that characterizes the exponential estimate for rare events of stochastic dynamical systems in the limit of weak noise.
no code implementations • 19 Jun 2023 • Yijian Wang, Yang Cui, Yang Li, Yang Xu
The proposed MMG system framework can reduce energy fluctuations in the main grid by 1746. 5kW in 24 hours and achieve a cost reduction of 16. 21% in the test.
no code implementations • 16 Jun 2023 • Jianhui Meng, Xiaolong Wu, Tairan Ye, Jingsen Yu, Likang Gu, Zili Zhang, Yang Li
A three-phase isolated AC-DC-DC power supply is widely used in the industrial field due to its attractive features such as high-power density, modularity for easy expansion and electrical isolation.
1 code implementation • 16 Jun 2023 • Rui Zhang, Ziqi Wang, Yang Li, Jiabao Wang, Zhiteng Wang
Motivated by this observation, we propose a novel few-shot SAR image classification benchmark (FewSAR) to address this issue.
no code implementations • 12 Jun 2023 • Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li
Context information modeling is an important task in conversational KBQA.
1 code implementation • 5 Jun 2023 • Yang Li, Shao Zhang, Jichen Sun, WenHao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
In order to solve cooperative incompatibility in learning and effectively address the problem in the context of ZSC, we introduce the Cooperative Open-ended LEarning (COLE) framework, which formulates open-ended objectives in cooperative games with two players using perspectives of graph theory to evaluate and pinpoint the cooperative capacity of each strategy.
no code implementations • 2 Jun 2023 • Lei Kou, Jinbo Wu, Fangfang Zhang, Peng Ji, Wende Ke, Junhe Wan, Hailin Liu, Yang Li, Quande Yuan
In this paper, we propose a new encryption algorithm for offshore wind power based on two-dimensional lagged complex logistic mapping (2D-LCLM) and Zhou Yi Eight Trigrams.
2 code implementations • 29 May 2023 • Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, AJ Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
We present the training recipe and results of scaling up PaLI-X, a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture.
Ranked #1 on Fine-Grained Image Recognition on OVEN
no code implementations • 23 May 2023 • Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng
Notably, our algorithm has achieved state-of-the-art performance on neuromorphic datasets DVS-CIFAR10 and N-Caltech101, and can achieve superior performance in the test phase with timestep T=1.
no code implementations • 19 May 2023 • Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng
The biological neural network is a vast and diverse structure with high neural heterogeneity.
no code implementations • 6 May 2023 • Shipeng Ji, Yang Li, Ruizhi Fu, Jiabao Wang, Zhuang Miao
As deep learning applications extensively increase by leaps and bounds, their interpretability has become increasingly prominent.
no code implementations • 6 May 2023 • Xiaoxuan Zhang, Zengfu Wang, Kun Lu, Quan Pan, Yang Li
The semi-supervised classification performance of WL-SSGAN is evaluated on a sea-land clutter dataset.
no code implementations • 29 Apr 2023 • Yifang Xu, Yunzhuo Sun, Yang Li, Yilei Shi, Xiaoxiang Zhu, Sidan Du
With the increasing demand for video understanding, video moment and highlight detection (MHD) has emerged as a critical research topic.
no code implementations • 27 Apr 2023 • Yicun Huang, Changfu Zou, Yang Li, Torsten Wik
The concept of integrating physics-based and data-driven approaches has become popular for modeling sustainable energy systems.
1 code implementation • 26 Apr 2023 • Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui
Black-box optimization (BBO) has a broad range of applications, including automatic machine learning, experimental design, and database knob tuning.
no code implementations • 25 Apr 2023 • Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu
We propose a binary stochastic learning algorithm that modifies all elementary neural network operations, by introducing (i) stochastic binarization of both the forwarding signals and the activation function derivatives, (ii) signed binarization of the backpropagating errors, and (iii) step-wised weight updates.
1 code implementation • NeurIPS 2023 • Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei zhang, Hongyang Li
Accurately depicting the complex traffic scene is a vital component for autonomous vehicles to execute correct judgments.
1 code implementation • 11 Apr 2023 • Tianyu Li, Li Chen, Huijie Wang, Yang Li, Jiazhi Yang, Xiangwei Geng, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Junchi Yan, Ping Luo, Hongyang Li
Understanding the road genome is essential to realize autonomous driving.
Ranked #5 on 3D Lane Detection on OpenLane-V2 val
no code implementations • 1 Apr 2023 • Jiankai Gao, Yang Li, Bin Wang, Haibo Wu
The implementation of a multi-microgrid (MMG) system with multiple renewable energy sources enables the facilitation of electricity trading.
2 code implementations • 30 Mar 2023 • Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang
Large pre-trained code generation models, such as OpenAI Codex, can generate syntax- and function-correct code, making the coding of programmers more productive and our pursuit of artificial general intelligence closer.
Ranked #81 on Code Generation on MBPP
1 code implementation • 23 Mar 2023 • Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng
In order to improve the generalization ability of SNNs on event-based datasets, we use static images to assist SNN training on event data.
no code implementations • 23 Mar 2023 • Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng
The self-adaptation to membrane potential and input allows a timely adjustment of the threshold to fire spike faster and transmit more information.
no code implementations • 18 Mar 2023 • Yang Li, D. Mahinda Vilathgamuwa, Daniel E. Quevedo, Chih Feng Lee, Changfu Zou
In a dynamic distribution market environment, residential prosumers with solar power generation and battery energy storage devices can flexibly interact with the power grid via power exchange.
no code implementations • 17 Mar 2023 • Yubiao Yue, Minghua Jiang, Xinyue Zhang, Jialong Xu, Huacong Ye, Fan Zhang, Zhenzhang Li, Yang Li
With the help of the Internet and communication terminal, Mpox-AISM can perform a real-time, low-cost, and convenient diagnosis for earlier-stage mpox in various real-world settings, thereby effectively curbing the spread of mpox virus.
no code implementations • 11 Mar 2023 • Jiayao Sun, Dawei Luo, Zhaoxia Li, Jindong Li, Yukai Ju, Yang Li
This paper introduces the SWANT team entry to the ICASSP 2023 AEC Challenge.
no code implementations • 10 Mar 2023 • Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui
To tune different components for DBMS, a coordinating mechanism is needed to make the multiple agents cognizant of each other.
1 code implementation • 2 Mar 2023 • Yang Li, Yuichi Tanaka
Instead, we propose two methods to improve the representational power of AGCs by utilizing 1) structural information in a high-dimensional space and 2) multiple attention functions when calculating their weights.
no code implementations • 12 Feb 2023 • Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui
A wide spectrum of design and decision problems, including parameter tuning, A/B testing and drug design, intrinsically are instances of black-box optimization.
1 code implementation • 9 Feb 2023 • Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
However, these approaches can result in a loss of learning and an inability to cooperate with certain strategies within the population, known as cooperative incompatibility.
no code implementations • 8 Feb 2023 • Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui
When applying transfer learning to accelerate the tuning process, we notice two domain-specific challenges: 1) most previous work focus on transferring tuning history, while expert knowledge from Spark engineers is of great potential to improve the tuning performance but is not well studied so far; 2) history tasks should be carefully utilized, where using dissimilar ones lead to a deteriorated performance in production.
no code implementations • 7 Feb 2023 • Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui
To tackle this issue and further enhance the ensemble performance, we propose DivBO, a diversity-aware framework to inject explicit search of diversity into the CASH problems.
1 code implementation • 4 Feb 2023 • Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan
On top of the observations that industrial formulae exhibit clear community structure and oversplit substructures lead to the difficulty in semantic formation of logical structures, we propose HardSATGEN, which introduces a fine-grained control mechanism to the neural split-merge paradigm for SAT formula generation to better recover the structural and computational properties of the industrial benchmarks.
no code implementations • 27 Jan 2023 • Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li
Layout design is an important task in various design fields, including user interface, document, and graphic design.
1 code implementation • 26 Jan 2023 • Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
Together, for various on-device ML applications such as recommendation and language modeling, our system on a single V100 GPU can serve up to $100, 000$ queries per second -- a $>100 \times$ throughput improvement over a CPU-based baseline -- while maintaining model accuracy.
no code implementations • 21 Jan 2023 • Yang Li, Meng Han, Mohammad Shahidehpour, Jiazheng Li, Chao Long
A community integrated energy system (CIES) is an important carrier of the energy internet and smart city in geographical and functional terms.
no code implementations • 12 Jan 2023 • Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li, Dimitrios Gunopulos, Leonidas Guibas
Travel time estimation is a critical task, useful to many urban applications at the individual citizen and the stakeholder level.
no code implementations • 3 Jan 2023 • Yicong Li, Yang Tan, Jingyun Yang, Yang Li, Xiao-Ping Zhang
Furthermore, within the same modality, transferring from the source task that has stronger RoI shape similarity with the target task can significantly improve the final transfer performance.
1 code implementation • ICCV 2023 • Zhijie Yan, Pengfei Li, Zheng Fu, Shaocong Xu, Yongliang Shi, Xiaoxue Chen, Yuhang Zheng, Yang Li, Tianyu Liu, Chuxuan Li, Nairui Luo, Xu Gao, Yilun Chen, Zuoxu Wang, Yifeng Shi, Pengfei Huang, Zhengxiao Han, Jirui Yuan, Jiangtao Gong, Guyue Zhou, Hang Zhao, Hao Zhao
One of the most challenging problems in motion forecasting is interactive trajectory prediction, whose goal is to jointly forecasts the future trajectories of interacting agents.
no code implementations • ICCV 2023 • Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li
In this paper, we aim to reduce model complexity from large vision transformers pretrained by MAE with assistant of sparse training.
no code implementations • 29 Dec 2022 • Yuanzheng Li, Shangyang He, Yang Li, Yang Shi, Zhigang Zeng
Then, these local models are periodically uploaded to a server and their parameters are aggregated to build a global agent, which will be broadcasted to MGs and replace their local agents.
no code implementations • 27 Dec 2022 • Yang Li, Fanjin Bu, Yuanzheng Li, Chao Long
Multi-uncertainties from power sources and loads have brought significant challenges to the stable demand supply of various resources at islands.
no code implementations • 20 Dec 2022 • Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas Guibas
Task transfer learning is a popular technique in image processing applications that uses pre-trained models to reduce the supervision cost of related tasks.
no code implementations • 14 Dec 2022 • Yunqi Wang, Yang Li, Qingjiang Shi, Yik-Chung Wu
In order to achieve high data rate and ubiquitous connectivity in future wireless networks, a key task is to efficiently manage the radio resource by judicious beamforming and power allocation.
1 code implementation • 6 Dec 2022 • Yang Li, Haiyu Dong, Zuliang Fang, Jonathan Weyn, Pete Luferenko
To further improve the model performance, multi-model ensemble and threshold optimization were used to produce the final probabilistic rain prediction.
no code implementations • 23 Nov 2022 • Yunqi Wang, Yang Li, Qingjiang Shi, Yik-Chung Wu
However, the current GNNs are only equipped with the node-update mechanism, which restricts it from modeling more complicated problems such as the cooperative beamforming design, where the beamformers are on the graph edges of wireless networks.
no code implementations • 23 Nov 2022 • Yang Li, Guijin Wang, Zhourui Xia, Wenming Yang, Li Sun
Auxiliary diagnosis of cardiac electrophysiological status can be obtained through the analysis of 12-lead electrocardiograms (ECGs).
1 code implementation • 21 Nov 2022 • Yongrui Chen, Xinnan Guo, Tongtong Wu, Guilin Qi, Yang Li, Yang Dong
The first solution Vanilla is to perform self-training, augmenting the supervised training data with predicted pseudo-labeled instances of the current task, while replacing the full volume retraining with episodic memory replay to balance the training efficiency with the performance of previous tasks.
no code implementations • 16 Nov 2022 • Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, HuaWei Shen
On account that previous studies either lacks variance analysis or only focus on a particular sampling paradigm, we firstly propose an unified node sampling variance analysis framework and analyze the core challenge "circular dependency" for deriving the minimum variance sampler, i. e., sampling probability depends on node embeddings while node embeddings can not be calculated until sampling is finished.
no code implementations • 11 Nov 2022 • Yang Li, Canran Xu, Guodong Long, Tao Shen, Chongyang Tao, Jing Jiang
Basically, an instance-dependent soft prefix, derived from fact-counterfactual pairs in the label space, is leveraged to complement the language verbalizers in many-class classification.
1 code implementation • 11 Nov 2022 • Yang Li, Xin Ma, Raj Sunderraman, Shihao Ji, Suprateek Kundu
We compare the prediction performance for different intelligence measures based on static FC, dynamic FC, and region level time series acquired from the Adolescent Brain Cognitive Development (ABCD) study involving close to 7000 individuals.
no code implementations • 8 Nov 2022 • Lei Kou, Xiao-dong Gong, Yi Zheng, Xiu-hui Ni, Yang Li, Quan-de Yuan, Ya-nan Dong
The current sensor faults may bring hidden danger or damage to the whole system; therefore, this paper proposed a random forest (RF) and current fault texture feature-based method for current sensor fault diagnosis in three-phase PWM VSR systems.
no code implementations • 2 Nov 2022 • Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer
We show how factoring the RNN-T's output distribution can significantly reduce the computation cost and power consumption for on-device ASR inference with no loss in accuracy.
no code implementations • 2 Nov 2022 • Yang Li, Ruinong Wang, Yuanzheng Li, Meng Zhang, Chao Long
To handle the data privacy and openness, we propose a forecasting scheme that combines federated learning and deep reinforcement learning (DRL) for ultra-short-term wind power forecasting, called federated deep reinforcement learning (FedDRL).
no code implementations • 1 Nov 2022 • Lei Kou, Yang Li, Fangfang Zhang, Xiaodong Gong, Yinghong Hu, Quande Yuan, Wende Ke
In recent years, with the development of wind energy, the number and scale of wind farms are developing rapidly.
1 code implementation • 27 Oct 2022 • Dong Yang, Peijun Qing, Yang Li, Haonan Lu, Xiaodong Lin
However, it remains challenging to model the negation and union operator.
no code implementations • 22 Oct 2022 • Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, Hongzhi Yin
In order to counteract the scarcity and incompleteness of POI check-ins, we propose a novel self-supervised learning paradigm in \ssgrec, where the trajectory representations are contrastively learned from two augmented views on geolocations and temporal transitions.
1 code implementation • 11 Oct 2022 • Yang Li, Xiaoxue Chen, Hao Zhao, Jiangtao Gong, Guyue Zhou, Federico Rossano, Yixin Zhu
Human studies have revealed that objects referred to or pointed to do not lie on the elbow-wrist line, a common misconception; instead, they lie on the so-called virtual touch line.
1 code implementation • 10 Oct 2022 • Shichao Kan, Zhiquan He, Yigang Cen, Yang Li, Vladimir Mladenovic, Zhihai He
Recent methods for deep metric learning have been focusing on designing different contrastive loss functions between positive and negative pairs of samples so that the learned feature embedding is able to pull positive samples of the same class closer and push negative samples from different classes away from each other.
no code implementations • 29 Sep 2022 • Gang Li, Yang Li
Specifically, we enhance a vision-language model that only takes the screenshot of the UI and a region of interest on the screen -- the focus -- as the input.
no code implementations • 29 Sep 2022 • Tao Li, Gang Li, Jingjie Zheng, Purple Wang, Yang Li
To investigate the problem, we create a new dataset that consists of 77, 820 sequences of human user-agent interaction on mobile interfaces in which 20% involves multiple rounds of interactions.
no code implementations • 27 Sep 2022 • Yang Li, Shenglan Yuan, Shengyuan Xu
The mean exit time escaping basin of attraction in the presence of white noise is of practical importance in various scientific fields.
no code implementations • 24 Sep 2022 • Yang Li, Fanjin Bu, Jiankai Gao, Guoqing Lia
The development of miniaturized nuclear power (NP) units and the improvement of the carbon trading market provide a new way to realize the low-carbon operation of integrated energy systems (IES).
no code implementations • 20 Sep 2022 • Jiadong Yu, Yang Li, Xiaolan Liu, Bo Sun, Yuan Wu, Danny H. K. Tsang
In this paper, we investigate the joint offloading, communication and computation resource allocation for IRS-assisted NOMA MEC system.
no code implementations • 18 Sep 2022 • Xiaolin Xu, Yuan Zong, Wenming Zheng, Yang Li, Chuangao Tang, Xingxun Jiang, Haolin Jiang
In this paper, we present a large-scale, multi-source, and unconstrained database called SDFE-LV for spotting the onset and offset frames of a complete dynamic facial expression from long videos, which is known as the topic of dynamic facial expression spotting (DFES) and a vital prior step for lots of facial expression analysis tasks.
1 code implementation • 18 Sep 2022 • Bryan Wang, Gang Li, Yang Li
This paper investigates the feasibility of enabling versatile conversational interactions with mobile UIs using a single LLM.
2 code implementations • 12 Sep 2022 • Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, Yu Qiao
As sensor configurations get more complex, integrating multi-source information from different sensors and representing features in a unified view come of vital importance.
no code implementations • 7 Sep 2022 • Yang Li, Leo Yan Li-Han, Hua Tian
To the best of our knowledge, this is the first study for objective DDH diagnosis by leveraging deep learning keypoint detection and integrating different anatomical measurements, which can provide reliable and explainable support for clinical decision-making.
1 code implementation • 30 Aug 2022 • Rongfei Chen, Wenju Zhou, Yang Li, Huiyu Zhou
Multimodal sentiment analysis has a wide range of applications due to its information complementarity in multimodal interactions.
1 code implementation • 23 Aug 2022 • Yang Li, Yucheng Tu, Xiaoxue Chen, Hao Zhao, Guyue Zhou
In this work, (1) we propose a novel three-decoder architecture as the infrastructure for focused attention; 2) we use the generalized intersection box prediction task to effectively guide our model to focus on occlusion-specific regions; 3) our model achieves a new state-of-the-art performance on distance-aware relationship detection.
no code implementations • 19 Aug 2022 • Guanzi Chen, Jiying Zhang, Xi Xiao, Yang Li
In this paper, we present a novel test time adaptation strategy named Graph Adversarial Pseudo Group Contrast (GAPGC), for graph neural networks TTA, to better adapt to the Out Of Distribution (OOD) test data.
no code implementations • 19 Aug 2022 • Rui Yang, Yang Li
In response to the damage to electric power transmission systems caused by typhoon disasters in coastal areas, a planning-targeted resilience assessment framework that considers the impact of multiple factors is established to accurately find the weak links of the transmission system and improve the system resilience.
no code implementations • 4 Aug 2022 • Yilei Zeng, Jiali Duan, Yang Li, Emilio Ferrara, Lerrel Pinto, C. -C. Jay Kuo, Stefanos Nikolaidis
In this work, we guide the curriculum reinforcement learning results towards a preferred performance level that is neither too hard nor too easy via learning from the human decision process.
no code implementations • 1 Aug 2022 • Yang Li, Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Jeremy Oorloff, Peyman Moghadam, Russ Babcock, Megha Malpani, Ard Oerlemans
Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are ongoing to manage COTS populations to ecologically sustainable levels.
1 code implementation • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence 2022 • Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen
In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs)method emerges to be a promising method for solving both forward and inverse PDE problems.
no code implementations • 18 Jul 2022 • Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi
These brain-inspired AI models have been effectively validated on various supervised, unsupervised, and reinforcement learning tasks, and they can be used to enable AI models to be with multiple brain-inspired cognitive functions.
no code implementations • 12 Jul 2022 • Yang Tan, Enming Zhang, Yang Li, Shao-Lun Huang, Xiao-Ping Zhang
We propose two novel transferability metrics F-OTCE (Fast Optimal Transport based Conditional Entropy) and JC-OTCE (Joint Correspondence OTCE) to evaluate how much the source model (task) can benefit the learning of the target task and to learn more transferable representations for cross-domain cross-task transfer learning.
no code implementations • 11 Jul 2022 • Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li
Domain generalization aims at learning a universal model that performs well on unseen target domains, incorporating knowledge from multiple source domains.
no code implementations • 6 Jul 2022 • Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
By integrating the above three adaptive mechanisms and STB-STDP, our model greatly accelerates the training of unsupervised spiking neural networks and improves the performance of unsupervised SNNs on complex tasks.
no code implementations • 6 Jul 2022 • Yang Li, Xiang He, Yiting Dong, Qingqun Kong, Yi Zeng
Spiking neural network (SNN) has been attached to great importance due to the properties of high biological plausibility and low energy consumption on neuromorphic hardware.
no code implementations • 29 Jun 2022 • Zhenhao Tang, Shikui Wang, Xiangying Chai, Shengxian Cao, Tinghui Ouyang, Yang Li
An automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to predict the NOx emission concentration based on the combination of mutual information algorithm (MI), AE, and ELM.
no code implementations • 23 Jun 2022 • Xinrui Zhan, Yang Li, Wenyu Liu, Jianke Zhu
In this paper, we propose Warped Convolution Networks (WCN) to effectively learn and represent the homography by SL(3) group and sl(3) algebra with group convolution.
1 code implementation • 19 Jun 2022 • Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui
End-to-end AutoML has attracted intensive interests from both academia and industry which automatically searches for ML pipelines in a space induced by feature engineering, algorithm/model selection, and hyper-parameter tuning.
1 code implementation • 17 Jun 2022 • Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui
Graph neural networks (GNNs) have been intensively applied to various graph-based applications.
2 code implementations • 17 Jun 2022 • Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui
First, GNNs can learn higher-order structural information by stacking more layers but can not deal with large depth due to the over-smoothing issue.
no code implementations • 16 Jun 2022 • Li Chen, Tutian Tang, Zhitian Cai, Yang Li, Penghao Wu, Hongyang Li, Jianping Shi, Junchi Yan, Yu Qiao
Equipped with a wide span of sensors, predominant autonomous driving solutions are becoming more modular-oriented for safe system design.
1 code implementation • 9 Jun 2022 • Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
Graph neural networks (GNNs) have achieved great success in many graph-based applications.
Ranked #11 on Node Property Prediction on ogbn-mag
no code implementations • 8 Jun 2022 • Yinqian Sun, Yi Zeng, Yang Li
Brain inspired spiking neural networks (SNNs) have been successfully applied to many pattern recognition domains.