no code implementations • SemEval (NAACL) 2022 • Yue Zhou, Bowei Wei, Jianyu Liu, Yang Yang
Synonym and antonym practice are the most common practices in our early childhood.
no code implementations • SemEval (NAACL) 2022 • Yalong Jia, Zhenghui Ou, Yang Yang
In this paper, we propose a method which can predict structured sentiment information on multiple languages with limited data.
1 code implementation • COLING 2022 • Lei Chen, Guanying Li, Zhongyu Wei, Yang Yang, Baohua Zhou, Qi Zhang, Xuanjing Huang
Existing works on rumor resolution have shown great potential in recognizing word appearance and user participation.
no code implementations • 30 Apr 2024 • Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
Brain network analysis is vital for understanding the neural interactions regarding brain structures and functions, and identifying potential biomarkers for clinical phenotypes.
no code implementations • 30 Apr 2024 • Zheren Zhu, Azaan Rehman, Xiaozhi Cao, Congyu Liao, Yoo Jin Lee, Michael Ohliger, Hui Xue, Yang Yang
Recent developments in low-field (LF) magnetic resonance imaging (MRI) systems present remarkable opportunities for affordable and widespread MRI access.
no code implementations • 28 Apr 2024 • Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang
Specifically, a knowledge base, consisting of a retrieval-oriented embedding layer and a knowledge encoder, is designed to preserve and imitate the retrieved & aggregated representations in a decomposition-reconstruction paradigm.
no code implementations • 27 Apr 2024 • Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang
Motivated by this, in this article, we propose collaborative edge training, a novel training mechanism that orchestrates a group of trusted edge devices as a resource pool for expedited, sustainable big AI model training at the edge.
no code implementations • 20 Apr 2024 • Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong
Our model assumptions are verified by the real bushfire data from NSW, Australia, and we apply our model to two power systems to illustrate its applicability.
no code implementations • 20 Apr 2024 • Yang Yang, Shunyi Zheng
The advancement of deep learning has driven notable progress in remote sensing semantic segmentation.
1 code implementation • 18 Apr 2024 • Yihua Shao, Hongyi Cai, Xinwei Long, Weiyi Lang, Zhe Wang, Haoran Wu, Yan Wang, Jiayi Yin, Yang Yang, Zhen Lei
We also extend our approach to a multi-vehicle cooperative system by deploying Motion Qformer on each vehicle and simultaneously inputting the inference-generated query into the MLP for autoregressive inference.
no code implementations • 15 Apr 2024 • Xun Yuan, Yang Yang, Prosanta Gope, Aryan Pasikhani, Biplab Sikdar
Nevertheless, in some scenarios, it has been found that the attributes needed to train an AI model belong to different parties, and they cannot share the raw data for synthetic data publication due to privacy regulations.
no code implementations • 14 Apr 2024 • Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
For better model personalization, we point out that the hard-won personalized models are not well exploited and propose "inherited private model" to store the personalization experience.
no code implementations • 12 Apr 2024 • Yang Yang, Hongpeng Pan, Qing-Yuan Jiang, Yi Xu, Jinghui Tang
According to the findings, we further propose a novel importance sampling-based, element-wise joint optimization method, called Adaptively Mask Subnetworks Considering Modal Significance(AMSS).
no code implementations • 5 Apr 2024 • Zhihao Guan, Jia-Qi Yang, Yang Yang, HengShu Zhu, Wenjie Li, Hui Xiong
Moreover, we adopt a two-stage learning strategy for skill-aware recommendation, in which we utilize the skill distribution to guide JD representation learning in the recall stage, and then combine the user profiles for final prediction in the ranking stage.
no code implementations • 3 Apr 2024 • Hui Xue, Sarah Hooper, Azaan Rehman, Iain Pierce, Thomas Treibel, Rhodri Davies, W Patricia Bandettini, Rajiv Ramasawmy, Ahsan Javed, Zheren Zhu, Yang Yang, James Moon, Adrienne Campbell, Peter Kellman
The ability to recover MRI signal from noise is key to achieve fast acquisition, accurate quantification, and high image quality.
1 code implementation • 28 Mar 2024 • Wei Dong, Xing Zhang, Bihui Chen, Dawei Yan, Zhijun Lin, Qingsen Yan, Peng Wang, Yang Yang
Parameter-efficient fine-tuning for pre-trained Vision Transformers aims to adeptly tailor a model to downstream tasks by learning a minimal set of new adaptation parameters while preserving the frozen majority of pre-trained parameters.
no code implementations • 26 Mar 2024 • Hongpeng Pan, Yang Yang, Zhongtian Fu, Yuxuan Zhang, Shian Du, Yi Xu, Xiangyang Ji
To address this issue, we propose a simple yet effective approach called TAP with confident static points (TAPIR+), which focuses on rectifying the tracking of the static point in the videos shot by a static camera.
no code implementations • 26 Mar 2024 • Dian Chao, Xin Song, Shupeng Zhong, Boyuan Wang, Xiangyu Wu, Chen Zhu, Yang Yang
In this paper, we propose a solution for improving the quality of captions generated for figures in papers.
no code implementations • 26 Mar 2024 • Shengdong Xu, Zhouyang Chi, Yang Yang
In order to address this issue, we propose a simple yet effective approach called single-multi modal with Emotion-Cultural specific prompt(ECSP), which focuses on using the single modal message to enhance the performance of multimodal models and a well-designed prompt to reduce cultural differences problem.
no code implementations • 26 Mar 2024 • Jingyuan Wang, Shengdong Xu, Yang Yang
This report provide a detailed description of the method that we proposed in the TRAC-2024 Offline Harm Potential dentification which encloses two sub-tasks.
no code implementations • 26 Mar 2024 • Yang Yang
Image captioning can automatically generate captions for the given images, and the key challenge is to learn a mapping function from visual features to natural language features.
no code implementations • 26 Mar 2024 • Xixian Wu, Dian Chao, Yang Yang
Image-to-image translation is a technique that focuses on transferring images from one domain to another while maintaining the essential content representations.
no code implementations • 26 Mar 2024 • Haonan Xu, Yurui Huang, Sishun Pan, Zhihao Guan, Yi Xu, Yang Yang
For the vehicle retrieval task, we use BLIP as the base model.
1 code implementation • 25 Mar 2024 • Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang
We present Expert-Token-Routing, a unified generalist framework that facilitates seamless integration of multiple expert LLMs.
1 code implementation • 20 Mar 2024 • Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng
However, in the real-world where test ground truths are not provided, it is non-trivial to find out whether bounding boxes are accurate, thus preventing us from assessing the detector generalization ability.
no code implementations • 18 Mar 2024 • Yang Yang, Mingzhe Chen, Yufei Blankenship, Jemin Lee, Zabih Ghassemlooy, Julian Cheng, Shiwen Mao
The purpose of this paper is to provide a comprehensive overview of existing works and new trends in the field of positioning techniques from both the academic and industrial perspectives.
no code implementations • 18 Mar 2024 • Hongxiao Wang, Yang Yang, Zhuo Zhao, Pengfei Gu, Nishchal Sapkota, Danny Z. Chen
For predicting cancer survival outcomes, standard approaches in clinical research are often based on two main modalities: pathology images for observing cell morphology features, and genomic (e. g., bulk RNA-seq) for quantifying gene expressions.
1 code implementation • 18 Mar 2024 • Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, Wei Liu
Customization generation techniques have significantly advanced the synthesis of specific concepts across varied contexts.
no code implementations • 17 Mar 2024 • Yang Yang
As an important part of genetic algorithms (GAs), mutation operators is widely used in evolutionary algorithms to solve $\mathcal{NP}$-hard problems because it can increase the population diversity of individual.
no code implementations • 15 Mar 2024 • Meixuan Li, Tianyu Li, Guoqing Wang, Peng Wang, Yang Yang, Heng Tao Shen
Aligning these distributions between corresponding regions from different tasks imparts higher flexibility and capacity to capture intra-region structures, accommodating a broader range of tasks.
no code implementations • 9 Mar 2024 • Ming Zheng, Yang Yang, Zhi-Hang Zhao, Shan-Chao Gan, Yang Chen, Si-Kai Ni, Yang Lu
In the current oversampling methods based on generative networks, the methods based on GANs can capture the true distribution of data, but there is the problem of pattern collapse and training instability in training; in the oversampling methods based on denoising diffusion probability models, the neural network of the inverse diffusion process using the U-Net is not applicable to tabular data, and although the MLP can be used to replace the U-Net, the problem exists due to the simplicity of the structure and the poor effect of removing noise.
1 code implementation • 6 Mar 2024 • Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu
However, in order to protect user privacy and optimize utility, it is also crucial for LLMRec to intentionally forget specific user data, which is generally referred to as recommendation unlearning.
no code implementations • 1 Mar 2024 • Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li
Specifically, we introduce two novel event-driven learning methods: the spike-timing-dependent event-driven (STD-ED) and membrane-potential-dependent event-driven (MPD-ED) algorithms.
1 code implementation • 24 Feb 2024 • Tian Xia, Zhiwei He, Tong Ren, Yibo Miao, Zhuosheng Zhang, Yang Yang, Rui Wang
Bargaining is an important and unique part of negotiation between humans.
2 code implementations • 20 Feb 2024 • Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu
In terms of efficiency, the GNN adapter introduces only a few trainable parameters and can be trained with low computation costs.
no code implementations • 15 Feb 2024 • Zhizhang Yuan, Daoze Zhang, Junru Chen, Gefei Gu, Yang Yang
Foundational models benefit from pre-training on large amounts of unlabeled data and enable strong performance in a wide variety of applications with a small amount of labeled data.
1 code implementation • 14 Feb 2024 • Linfeng Cao, Haoran Deng, Yang Yang, Chunping Wang, Lei Chen
In this paper, we argue that properly fetching and condensing the background nodes from massive web graph data might be a more economical shortcut to tackle the obstacles fundamentally.
1 code implementation • 6 Feb 2024 • Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen
We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality dataset curation can substantially benefit VLMs' performance.
no code implementations • 3 Feb 2024 • Yiling Kuang, Chao Yang, Yang Yang, Shuang Li
In the M-step, we update both the rule set and model parameters to enhance the likelihood function's lower bound.
no code implementations • 3 Feb 2024 • Xuanwen Huang, Wei Chow, Yang Wang, Ziwei Chai, Chunping Wang, Lei Chen, Yang Yang
Extensive experiments on eight untrained graphs demonstrate that DyExpert achieves state-of-the-art performance in cross-domain link prediction.
no code implementations • 1 Feb 2024 • Fanzhe Fu, Junru Chen, Jing Zhang, Carl Yang, Lvbin Ma, Yang Yang
Time-series data presents limitations stemming from data quality issues, bias and vulnerabilities, and generalization problem.
no code implementations • 25 Jan 2024 • Zhiyu Zhu, Yang Yang, Mingzhe Chen, Caili Guo, Julian Cheng, Shuguang Cui
This paper provides a comprehensive survey of VLP systems.
no code implementations • 16 Jan 2024 • Yang Yang, George Sung, Shao-Fu Shih, Hakan Erdogan, Chehung Lee, Matthias Grundmann
We propose a neural network model that can separate target speech sources from interfering sources at different angular regions using two microphones.
1 code implementation • 15 Jan 2024 • Wenjuan Xi, Xin Song, Weili Guo, Yang Yang
Existing semi-supervised learning (SSL) methods assume that labeled and unlabeled data share the same class space.
1 code implementation • 10 Jan 2024 • Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu
In this paper, we introduce InfiAgent-DABench, the first benchmark specifically designed to evaluate LLM-based agents on data analysis tasks.
no code implementations • 5 Jan 2024 • Yang Yang, Yury Kartynnik, Yunpeng Li, Jiuqiang Tang, Xing Li, George Sung, Matthias Grundmann
We present StreamVC, a streaming voice conversion solution that preserves the content and prosody of any source speech while matching the voice timbre from any target speech.
1 code implementation • 4 Jan 2024 • Xuehao Gao, Yang Yang, Zhenyu Xie, Shaoyi Du, Zhongqian Sun, Yang Wu
The whole text-driven human motion synthesis problem is then divided into multiple abstraction levels and solved with a multi-stage generation framework with a cascaded latent diffusion model: an initial generator first generates the coarsest human motion guess from a given text description; then, a series of successive generators gradually enrich the motion details based on the textual description and the previous synthesized results.
Ranked #6 on Motion Synthesis on KIT Motion-Language
no code implementations • 4 Jan 2024 • Chuanhong Liu, Caili Guo, Yang Yang, Wanli Ni, Tony Q. S. Quek
Based on semantic importance, we formulate a sub-carrier and bit allocation problem to maximize communication performance.
no code implementations • 3 Jan 2024 • Haowen Zheng, Dong Cao, Jintao Xu, Rui Ai, Weihao Gu, Yang Yang, Yanyan Liang
Ultimately, we utilize this reconstruction target to reconstruct the student features.
1 code implementation • 28 Dec 2023 • Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen
We present MobileVLM, a competent multimodal vision language model (MMVLM) targeted to run on mobile devices.
1 code implementation • 21 Dec 2023 • Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen
In this paper, we identify the fundamental cause of structural divergence as the discrepancy of generative patterns between the pre-training and downstream graphs.
1 code implementation • 20 Dec 2023 • Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang
Extensive experiments show that our model achieves the best trade-off between accuracy and the fairness of model gradient, as well as superior payoff fairness.
no code implementations • 20 Dec 2023 • Yuhui Wu, Guoqing Wang, Zhiwen Wang, Yang Yang, Tianyu Li, Peng Wang, Chongyi Li, Heng Tao Shen
Low-light image enhancement (LLIE) has achieved promising performance by employing conditional diffusion models.
no code implementations • 14 Dec 2023 • Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Wei Zhao, Qinglin Lu, Boxi Wu, Wei Liu
In this paper, we introduce a new simple yet practical task setting: local control.
no code implementations • 7 Dec 2023 • Yichen Zhou, Yang Yang, Tao Zhou, Yonggang Li
A multi-information variable is constructed to transform the system into a new state space, where it is found that the jerk dynamics of the turbine-generator cascaded system is a second-order differential equation.
no code implementations • 1 Dec 2023 • Ji Bian, Jian Sun, Cheng-Xiang Wang, Rui Feng, Jie Huang, Yang Yang, Minggao Zhang
In this paper, a three-dimensional (3-D) non-stationary wideband multiple-input multiple-output (MIMO) channel model based on the WINNER+ channel model is proposed.
1 code implementation • 20 Nov 2023 • Lei Geng, Xu Yan, Ziqiang Cao, Juntao Li, Wenjie Li, Sujian Li, Xinjie Zhou, Yang Yang, Jun Zhang
We achieve a biomedical multilingual corpus by incorporating three granularity knowledge alignments (entity, fact, and passage levels) into monolingual corpora.
1 code implementation • NeurIPS 2023 • Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang
The proposed pre-training pipeline is called the data-active graph pre-training (APT) framework, and is composed of a graph selector and a pre-training model.
no code implementations • 26 Oct 2023 • Rupsa Bhattacharjee, Zehra Akkaya, Johanna Luitjens, Pan Su, Yang Yang, Valentina Pedoia, Sharmila Majumdar
The current study assesses the performance of standard in-practice bone, and cartilage segmentation algorithms at 0. 55T, both qualitatively and quantitatively, in terms of comparing segmentation performance, areas of improvement, and compartment-wise cartilage thickness values between 0. 55T vs. 3. 0T.
no code implementations • 24 Oct 2023 • Yinjie Lei, Zixuan Wang, Feng Chen, Guoqing Wang, Peng Wang, Yang Yang
Multi-modal 3D scene understanding has gained considerable attention due to its wide applications in many areas, such as autonomous driving and human-computer interaction.
1 code implementation • 19 Oct 2023 • Yi Bin, Wenhao Shi, Bin Ji, Jipeng Zhang, Yujuan Ding, Yang Yang
Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover the coherence by recurrently predicting each sentence step-by-step.
1 code implementation • 14 Oct 2023 • Yi Bin, Wenhao Shi, Yujuan Ding, Yang Yang, See-Kiong Ng
Math word problem (MWP) solving aims to understand the descriptive math problem and calculate the result, for which previous efforts are mostly devoted to upgrade different technical modules.
no code implementations • 10 Oct 2023 • Xiangyu Wu, Yang Yang, Shengdong Xu, Yifeng Wu, QingGuo Chen, Jianfeng Lu
At the data level, inspired by the challenge paper, we categorized the whole questions into eight types and utilized the llama-2-chat model to directly generate the type for each question in a zero-shot manner.
no code implementations • 10 Oct 2023 • Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu
In this paper, we present our solution to the New frontiers for Zero-shot Image Captioning Challenge.
1 code implementation • 9 Oct 2023 • Ziwei Chai, Tianjie Zhang, Liang Wu, Kaiqiao Han, Xiaohai Hu, Xuanwen Huang, Yang Yang
This synergy equips LLMs with the ability to proficiently interpret and reason on graph data, harnessing the superior expressive power of graph learning models.
no code implementations • 8 Oct 2023 • Yong Zhou, Yuanming Shi, Haibo Zhou, Jingjing Wang, Liqun Fu, Yang Yang
The explosive growth of smart devices (e. g., mobile phones, vehicles, drones) with sensing, communication, and computation capabilities gives rise to an unprecedented amount of data.
1 code implementation • 7 Oct 2023 • Jun Huang, Yang Yang, Hang Yu, Jianguo Li, Xiao Zheng
The MST graph provides a virtual representation of the status and scheduling relationships among service instances of a real-world microservice system.
no code implementations • 6 Oct 2023 • Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang, Liang Zheng
Analyzing model performance in various unseen environments is a critical research problem in the machine learning community.
1 code implementation • 6 Oct 2023 • Zhenqiao Song, Yunlong Zhao, Wenxian Shi, Yang Yang, Lei LI
In this paper, we propose NAEPro, a model to jointly design Protein sequence and structure based on automatically detected functional sites.
no code implementations • 4 Oct 2023 • Zhenqiao Song, Yunlong Zhao, Yufei Song, Wenxian Shi, Yang Yang, Lei LI
Designing novel proteins with desired functions is crucial in biology and chemistry.
1 code implementation • 18 Sep 2023 • Yang Yang, Ting Fong May Chui
Overall, this study demonstrates that the hydrological behavior of a catchment can be effectively described using a small number of latent variables, and that well-fitting hydrologic model functions can be reconstructed from these variables.
no code implementations • 18 Sep 2023 • Zhouxiang Fang, Min Yu, Zhendong Fu, Boning Zhang, Xuanwen Huang, Xiaoqi Tang, Yang Yang
Observation results demonstrate that trends and personal styles are widespread in headlines on social medias and have significant contribution to posts's popularity.
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 • 5 Sep 2023 • TaeHoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge.
no code implementations • 15 Aug 2023 • Wen Zan, Yaopeng Han, Xiaotian Jiang, Yao Xiao, Yang Yang, Dayao Chen, Sheng Chen
At pretraining stage, we propose an effective pretraining method that employs both query and multiple fields of document as inputs, including an effective information compression method for lengthy fields.
no code implementations • 14 Aug 2023 • Sijie He, Ziye Jia, Chao Dong, Wei Wang, Yilu Cao, Yang Yang, Qihui Wu
The unmanned aerial vehicle (UAV) network is popular these years due to its various applications.
1 code implementation • 8 Aug 2023 • Yi Bin, Haoxuan Li, Yahui Xu, Xing Xu, Yang Yang, Heng Tao Shen
Specifically, on two key tasks, \textit{i. e.}, image-to-text and text-to-image retrieval, HAT achieves 7. 6\% and 16. 7\% relative score improvement of Recall@1 on MSCOCO, and 4. 4\% and 11. 6\% on Flickr30k respectively.
1 code implementation • 8 Aug 2023 • Haoxuan Li, Yi Bin, Junrong Liao, Yang Yang, Heng Tao Shen
Most existing image-text matching methods adopt triplet loss as the optimization objective, and choosing a proper negative sample for the triplet of <anchor, positive, negative> is important for effectively training the model, e. g., hard negatives make the model learn efficiently and effectively.
no code implementations • 30 Jul 2023 • Xun Yuan, Yang Yang, Asif Iqbal, Prosanta Gope, Biplab Sikdar
To address these challenges, several unsupervised ETD methods have been proposed, focusing on learning the normal patterns from honest users, specifically the reconstruction of input.
no code implementations • 15 Jun 2023 • Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang
Therefore, we propose the first data-driven study to detect epileptic waves in a real-world SEEG dataset.
1 code implementation • 15 Jun 2023 • Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, ShiLiang Pu, Weihao Jiang
Network embedding, a graph representation learning method illustrating network topology by mapping nodes into lower-dimension vectors, is challenging to accommodate the ever-changing dynamic graphs in practice.
no code implementations • 15 Jun 2023 • Donghong Cai, Junru Chen, Yang Yang, Teng Liu, Yafeng Li
Intuitively, brain signals, generated by the firing of neurons, are transmitted among different connecting structures in human brain.
1 code implementation • 11 Jun 2023 • Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Yang Yang, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang
Currently, the reduction in the parameter scale of large-scale pre-trained language models (PLMs) through knowledge distillation has greatly facilitated their widespread deployment on various devices.
1 code implementation • 10 Jun 2023 • Vu-Linh Nguyen, Yang Yang, Cassio de Campos
We propose a formal framework for probabilistic MDC in which learning an optimal multi-dimensional classifier can be decomposed, without loss of generality, into learning a set of (smaller) single-variable multi-class probabilistic classifiers and a directed acyclic graph.
no code implementations • 8 Jun 2023 • Jia-Qi Yang, Chenglei Dai, OU Dan, Ju Huang, De-Chuan Zhan, Qingwen Liu, Xiaoyi Zeng, Yang Yang
To this end, we propose a recommendation-aware image pre-training method that can learn visual features from user click histories.
1 code implementation • 3 Jun 2023 • Yang Yang, Jin Lang, Jian Wu, Yanyan Zhang, Xiang Zhao
Finally, the effectiveness of the proposed method is verified by three wind prediction cases from a wind farm in Liaoning, China.
1 code implementation • 1 Jun 2023 • Shengqin Jiang, Yaoyu Fang, Haokui Zhang, Qingshan Liu, Yuankai Qi, Yang Yang, Peng Wang
Rehearsal-based video incremental learning often employs knowledge distillation to mitigate catastrophic forgetting of previously learned data.
no code implementations • 31 May 2023 • Yang Yang, Jian Wu, Xiangman Song, Derun Wu, Lijie Su, Lixin Tang
However, optimizing hit rate is a non-convex and challenging problem.
no code implementations • 31 May 2023 • Haoxuan Xu, Songning Lai, Xianyang Li, Yang Yang
To address these issues, we propose cross-domain Car Detection Model with integrated convolutional block Attention mechanism(CDMA) that we apply to car recognition for autonomous driving and other areas.
no code implementations • 30 May 2023 • Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
While transformer-based pre-trained language models (PLMs) have dominated a number of NLP applications, these models are heavy to deploy and expensive to use.
1 code implementation • 30 May 2023 • Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Kebin Fan, De-Chuan Zhan, Yang Yang
These obstacles prevent AI researchers from developing specialized methods for scientific designs.
no code implementations • 25 May 2023 • Zihan Wang, Yang Yang, Zhi Liu, Yifan Zheng
Our current related research addresses multiple novel proposed research works and compares their advantages and disadvantages between the derived deep learning frameworks rather than machine learning frameworks.
no code implementations • 24 May 2023 • Zhuokai Zhao, Yang Yang, Wenyu Wang, Chihuang Liu, Yu Shi, Wenjie Hu, Haotian Zhang, Shuang Yang
A key puzzle in search, ads, and recommendation is that the ranking model can only utilize a small portion of the vastly available user interaction data.
no code implementations • 23 May 2023 • Xun Jiang, Zailei Zhou, Xing Xu, Yang Yang, Guoqing Wang, Heng Tao Shen
Existing VMR methods suffer from two defects: (1) massive expensive temporal annotations are required to obtain satisfying performance; (2) complicated cross-modal interaction modules are deployed, which lead to high computational cost and low efficiency for the retrieval process.
no code implementations • 21 May 2023 • Chen Zhang, Yang Yang, Jingang Wang, Dawei Song
Finetuning pretrained language models (LMs) have enabled appealing performance on a diverse array of tasks.
1 code implementation • 20 May 2023 • Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song
However, when the capacity gap between the teacher and the student is large, a curse of capacity gap appears, invoking a deficiency in distilling LMs.
no code implementations • 10 May 2023 • Chenghao Li, Chaoning Zhang, Atish Waghwase, Lik-Hang Lee, Francois Rameau, Yang Yang, Sung-Ho Bae, Choong Seon Hong
AI generated content) has made remarkable progress in the past few years, among which text-guided content generation is the most practical one since it enables the interaction between human instruction and AIGC.
2 code implementations • 9 May 2023 • Zhaoyang Liu, Yinan He, Wenhai Wang, Weiyun Wang, Yi Wang, Shoufa Chen, Qinglong Zhang, Zeqiang Lai, Yang Yang, Qingyun Li, Jiashuo Yu, Kunchang Li, Zhe Chen, Xue Yang, Xizhou Zhu, Yali Wang, LiMin Wang, Ping Luo, Jifeng Dai, Yu Qiao
Different from existing interactive systems that rely on pure language, by incorporating pointing instructions, the proposed iGPT significantly improves the efficiency of communication between users and chatbots, as well as the accuracy of chatbots in vision-centric tasks, especially in complicated visual scenarios where the number of objects is greater than 2.
1 code implementation • 8 May 2023 • Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen
For evaluating the possible expression variants, we design a path-based metric to evaluate the partial accuracy of expressions of a unified tree.
1 code implementation • 7 May 2023 • Xin-Chun Li, Yang Yang, De-Chuan Zhan
We propose a novel learning paradigm named transductive federated learning (TFL) to simultaneously consider the structural information of the to-be-inferred data.
no code implementations • 30 Apr 2023 • Zhe Chen, Yang Yang, Anne Bettens, Youngho Eun, Xiaofeng Wu
In our framework, by making the best use of the hardware parameters of the sensor that captures real-world space images, we first develop a high-fidelity RSO simulator that can generate various realistic space images.
1 code implementation • 23 Apr 2023 • Bo Li, Gexiang Fang, Yang Yang, Quansen Wang, Wei Ye, Wen Zhao, Shikun Zhang
The capability of Large Language Models (LLMs) like ChatGPT to comprehend user intent and provide reasonable responses has made them extremely popular lately.
no code implementations • 19 Apr 2023 • Yang Yang, Weijie Ma, Hao Chen, Linlin Ou, Xinyi Yu
The combination of LiDAR and camera modalities is proven to be necessary and typical for 3D object detection according to recent studies.
no code implementations • 15 Apr 2023 • Yang Yang, Zhongtian Fu, Xiangyu Wu, Wenjie Li
To address this challenge, in this paper, we experimentally observe that the vision-language divergence may cause the existence of strong and weak modalities, and the hard cross-modal consistency cannot guarantee that strong modal instances' relationships are not affected by weak modality, resulting in the strong modal instances' relationships perturbed despite learned consistent representations. To this end, we propose a novel and directly Coordinated VisionLanguage Retrieval method (dubbed CoVLR), which aims to study and alleviate the desynchrony problem between the cross-modal alignment and single-modal cluster-preserving tasks.
1 code implementation • CVPR 2023 • Yuhui Wu, Chen Pan, Guoqing Wang, Yang Yang, Jiwei Wei, Chongyi Li, Heng Tao Shen
To address this issue, we propose a novel semantic-aware knowledge-guided framework (SKF) that can assist a low-light enhancement model in learning rich and diverse priors encapsulated in a semantic segmentation model.
Ranked #3 on Low-Light Image Enhancement on LOLv2
no code implementations • 6 Apr 2023 • Hadi AlZayer, Abdullah Abuolaim, Leung Chun Chan, Yang Yang, Ying Chen Lou, Jia-Bin Huang, Abhishek Kar
Smartphone cameras today are increasingly approaching the versatility and quality of professional cameras through a combination of hardware and software advancements.
1 code implementation • 29 Mar 2023 • Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang
All convex combinations of graphon bases give rise to a generator space, from which graphs generated form the solution space for those downstream data that can benefit from pre-training.
1 code implementation • CVPR 2023 • Haoyu Chen, Zhihua Wang, Yang Yang, Qilin Sun, Kede Ma
Most well-established and widely used color difference (CD) metrics are handcrafted and subject-calibrated against uniformly colored patches, which do not generalize well to photographic images characterized by natural scene complexities.
1 code implementation • 23 Mar 2023 • Ziyang Lu, Yunqiang Pei, Guoqing Wang, Yang Yang, Zheng Wang, Heng Tao Shen
Despite their effectiveness, existing methods suffer from the difficulty of low recognition accuracy in cases of multiple adjacent objects with similar appearances. To address this issue, this work intuitively introduces the human-robot interaction as a cue to facilitate the development of 3D visual grounding.
no code implementations • 21 Mar 2023 • Chaoning Zhang, Chenshuang Zhang, Sheng Zheng, Yu Qiao, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun, Le Luang Huy, Donguk Kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In So Kweon, Choong Seon Hong
As ChatGPT goes viral, generative AI (AIGC, a. k. a AI-generated content) has made headlines everywhere because of its ability to analyze and create text, images, and beyond.
no code implementations • 20 Mar 2023 • Zhifeng Wang, Jialong Yao, Chunyan Zeng, Wanxuan Wu, Hongmin Xu, Yang Yang
The use of computer vision technology to identify students' learning behavior in the classroom can reduce the workload of traditional teachers in supervising students in the classroom, and ensure greater accuracy and comprehensiveness.
no code implementations • 16 Mar 2023 • Yukuan Zhang, Yunhua Jia, Housheng Xie, Mengzhen Li, Limin Zhao, Yang Yang, Shan Zhao
However, modeling the motion and appearance models of objects in complex scenes still faces various challenging issues.
no code implementations • 13 Mar 2023 • Yang Yang, Shao-Fu Shih, Hakan Erdogan, Jamie Menjay Lin, Chehung Lee, Yunpeng Li, George Sung, Matthias Grundmann
Multi-microphone speech enhancement problem is often decomposed into two decoupled steps: a beamformer that provides spatial filtering and a single-channel speech enhancement model that cleans up the beamformer output.
no code implementations • 8 Mar 2023 • Zhifeng Wang, Wanxuan Wu, Chunyan Zeng, Jialong Yao, Yang Yang, Hongmin Xu
With the development of blockchain technology, more and more attention has been paid to the intersection of blockchain and education, and various educational evaluation systems and E-learning systems are developed based on blockchain technology.
no code implementations • ICCV 2023 • Benzhi Wang, Yang Yang, Jinlin Wu, Guo-Jun Qi, Zhen Lei
On the other hand, the similarity of cross-scale images is often smaller than that of images with the same scale for a person, which will increase the difficulty of matching.
1 code implementation • 23 Feb 2023 • Yang Yang, Gennaro Gala, Robert Peharz
Probabilistic circuits (PCs) are a prominent representation of probability distributions with tractable inference.
no code implementations • 17 Feb 2023 • Yang Yang, Kaixiong Xu, Kaizheng Wang
On the other hand, the cross-modal attention feature fusion module mines the features of both Color and Thermal modalities to complement each other, then the global features are constructed by adding the cross-modal complemented features element by element, which are attentionally weighted to achieve the effective fusion of the two modal features.
no code implementations • 5 Feb 2023 • Qizheng Sun, Caili Guo, Yang Yang, Jiujiu Chen, Rui Tang, Chuanhong Liu
Specifically, we first propose semantic importance weight calculation method, which is based on the gradient of intelligent task's perception results with respect to the features.
no code implementations • 9 Jan 2023 • Huanyu Bian, Zhilong Jia, Menghan Dou, Yuan Fang, Lei LI, Yiming Zhao, Hanchao Wang, Zhaohui Zhou, Wei Wang, Wenyu Zhu, Ye Li, Yang Yang, Weiming Zhang, Nenghai Yu, Zhaoyun Chen, Guoping Guo
Therefore, based on VQNet 1. 0, we further propose VQNet 2. 0, a new generation of unified classical and quantum machine learning framework that supports hybrid optimization.
1 code implementation • ICCV 2023 • Xingye Fang, Yang Yang, Ying Fu
We propose a Semantic Alignment and Affinity Inference framework (SAAI), which aims to align latent semantic part features with the learnable prototypes and improve inference with affinity information.
no code implementations • CVPR 2023 • Xuehao Gao, Shaoyi Du, Yang Wu, Yang Yang
Encouraged by the effectiveness of encoding temporal dynamics within the frequency domain, recent human motion prediction systems prefer to first convert the motion representation from the original pose space into the frequency space.
no code implementations • CVPR 2023 • Zheng Wang, Zhenwei Gao, Kangshuai Guo, Yang Yang, Xiaoming Wang, Heng Tao Shen
Specifically, a given query is first mapped as a probabilistic embedding to learn its true semantic distribution based on Mahalanobis distance.
no code implementations • ICCV 2023 • Huaiwen Zhang, Zihang Guo, Yang Yang, Xin Liu, De Hu
In this paper, we propose a Cross-modal Contextualized Sequence Transduction (C2ST) for CSLR, which effectively incorporates the knowledge of gloss sequence into the process of video representation learning and sequence transduction.
no code implementations • CVPR 2023 • Hadi AlZayer, Abdullah Abuolaim, Leung Chun Chan, Yang Yang, Ying Chen Lou, Jia-Bin Huang, Abhishek Kar
Smartphone cameras today are increasingly approaching the versatility and quality of professional cameras through a combination of hardware and software advancements.
no code implementations • ICCV 2023 • Wenyu Li, Yan Xu, Yang Yang, Haoran Ji, Yue Lang
Several unified frameworks have been proposed that can handle different types of degradation in superimposed image decomposition.
no code implementations • 26 Dec 2022 • Jiwei Wei, Yang Yang, Zeyu Ma, Jingjing Li, Xing Xu, Heng Tao Shen
In this paper, we provide a new semantic enhanced knowledge graph that contains both expert knowledge and categories semantic correlation.
no code implementations • 15 Dec 2022 • Yang Yang
As far as concerned, researchers have studied and analyzed in depth several types of inference attacks, albeit in isolation, but there is still a lack of a holistic rick assessment of inference attacks against machine learning models, such as their application in different scenarios, the common factors affecting the performance of these attacks and the relationship among the attacks.
no code implementations • SemEval (NAACL) 2022 • Yaqian Han, Yekun Chai, Shuohuan Wang, Yu Sun, Hongyi Huang, Guanghao Chen, Yitong Xu, Yang Yang
Detecting sarcasm and verbal irony from people's subjective statements is crucial to understanding their intended meanings and real sentiments and positions in social scenarios.
Multi-Label Classification Natural Language Understanding +2
1 code implementation • 29 Nov 2022 • Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla
In this paper, we first identify the dataset shift problem in the link prediction task and provide theoretical analyses on how existing link prediction methods are vulnerable to it.
no code implementations • 19 Nov 2022 • Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie zhou, Yang Yang
Recent studies have applied deep learning methods such as convolutional recurrent neural networks (CRNs) and Transformers to brain disease classification based on dynamic functional connectivity networks (dFCNs), such as Alzheimer's disease (AD), achieving better performance than traditional machine learning methods.
no code implementations • 17 Nov 2022 • Yang Yang, Hongjian Sun, Jialei Gong, Di Yu
Based on the embedding tangent space, featMAP enables the interpretability by locally demonstrating the source features and feature importance.
no code implementations • 2 Nov 2022 • Le Xia, Yao Sun, Chengsi Liang, Daquan Feng, Runze Cheng, Yang Yang, Muhammad Ali Imran
Virtual reality (VR) over wireless is expected to be one of the killer applications in next-generation communication networks.
2 code implementations • 23 Oct 2022 • Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu sun, Yang Yang, David A. Clifton
We build a benchmark clinical dataset and propose the Re3Writer, which imitates the working patterns of physicians to first retrieve related working experience from historical PIs written by physicians, then reason related medical knowledge.
1 code implementation • MM '22: Proceedings of the 30th ACM International Conference on Multimedia 2022 • Yang Yang, Jingshuai Zhang, Fan Gao, Xiaoru Gao, HengShu Zhu
Inspired by practical resume evaluations that consider both the content and layout, we construct the multi-modalities from resumes but face a new challenge that sometimes the performance of multi-modal fusion is even worse than the best uni-modality.
no code implementations • 18 Oct 2022 • Xuan Yang, Quanjin Tao, Xiao Feng, Donghong Cai, Xiang Ren, Yang Yang
In this paper, we propose MMGA (Multimodal learning with Graph Alignment), a novel multimodal pre-training framework to incorporate information from graph (social network), image and text modalities on social media to enhance user representation learning.
1 code implementation • 18 Oct 2022 • Housheng Xie, Junhui Qiu, Yuan Dai, Yang Yang, Changcheng Xiang, Yukuan Zhang
After utilizing TPS to transform infrared and visible images based on the corresponding feature points in sROI, the registered images are fused using image fusion module (IFM) to achieve a fully functional registration and fusion network.
no code implementations • 5 Oct 2022 • Meng Sang, Jiaxuan Chen, Mengzhen Li, Pan Tan, Anning Pan, Shan Zhao, Yang Yang
In the field of face recognition, it is always a hot research topic to improve the loss solution to make the face features extracted by the network have greater discriminative power.
1 code implementation • NeurIPS 2023 • Taoran Fang, Yunchao Zhang, Yang Yang, Chunping Wang, Lei Chen
In this paper, we introduce a universal prompt-based tuning method called Graph Prompt Feature (GPF) for pre-trained GNN models under any pre-training strategy.
no code implementations • 6 Sep 2022 • Yang Yang, Mizuka Komatsu, Kenji Oyama, Takenao Ohkawa
Based on this, we tackle the challenging task of real-time recognizing interactions between cattle in a single frame in this paper.
no code implementations • 24 Aug 2022 • Qizheng Sun, Caili Guo, Yang Yang, Jiujiu Chen, Rui Tang, Chuanhong Liu
The semantic information of the image for intelligent tasks is hidden behind the pixels, and slight changes in the pixels will affect the performance of intelligent tasks.
1 code implementation • 16 Aug 2022 • Tao Yan, Mingyue Li, Bin Li, Yang Yang, Rynson W. H. Lau
However, making full use of the abundant information available from LFIs, such as 2D array of sub-views and the disparity map of each sub-view, for effective rain removal is still a challenging problem.
no code implementations • 12 Aug 2022 • Robert A. Marsden, Felix Wiewel, Mario Döbler, Yang Yang, Bin Yang
In this work, we focus on UDA and additionally address the case of adapting not only to a single domain, but to a sequence of target domains.
no code implementations • 11 Aug 2022 • Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang
In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms.
no code implementations • 18 Jul 2022 • Hoang Le, Liang Zhang, Amir Said, Guillaume Sautiere, Yang Yang, Pranav Shrestha, Fei Yin, Reza Pourreza, Auke Wiggers
Realizing the potential of neural video codecs on mobile devices is a big technological challenge due to the computational complexity of deep networks and the power-constrained mobile hardware.
no code implementations • 13 Jul 2022 • Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan
Recent works on machine learning for combinatorial optimization have shown that learning based approaches can outperform heuristic methods in terms of speed and performance.
1 code implementation • 6 Jul 2022 • Qianglong Chen, Xiangji Zeng, Jiangang Zhu, Yin Zhang, Bojia Lin, Yang Yang, Daxin Jiang
Gazetteer is widely used in Chinese named entity recognition (NER) to enhance span boundary detection and type classification.
no code implementations • 30 Jun 2022 • Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis
Since GAD emphasizes the application and the rarity of anomalous samples, enriching the varieties of its datasets is fundamental work.
no code implementations • 26 Jun 2022 • Xu Wendi, Wang Xianpeng, Guo Qingxin, Song Xiangman, Zhao Ren, Zhao Guodong, Yang Yang, Xu Te, He Dakuo
As "a new frontier in evolutionary computation research", evolutionary transfer optimization(ETO) will overcome the traditional paradigm of zero reuse of related experience and knowledge from solved past problems in researches of evolutionary computation.
2 code implementations • 22 Jun 2022 • Wei Shen, Yang Yang, Yinan Liu
In this paper, we propose CMVC, a novel unsupervised framework that leverages these two views of knowledge jointly for canonicalizing OKBs without the need of manually annotated labels.
1 code implementation • 29 May 2022 • Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song
In particular, motivated by the finding that the performance of the student is positively correlated to the scale-performance tradeoff of the teacher assistant, MiniDisc is designed with a $\lambda$-tradeoff to measure the optimality of the teacher assistant without trial distillation to the student.
1 code implementation • 26 May 2022 • Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma
Measuring perceptual color differences (CDs) is of great importance in modern smartphone photography.
1 code implementation • 22 May 2022 • Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
The design of MAFENN framework and algorithm are dedicated to enhance the learning capability of the feedfoward DL networks or their variations with the simple data feedback.
1 code implementation • ACL 2022 • Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang
Modelling prosody variation is critical for synthesizing natural and expressive speech in end-to-end text-to-speech (TTS) systems.
no code implementations • 29 Apr 2022 • Toby Jia-Jun Li, Yuwen Lu, Jaylexia Clark, Meng Chen, Victor Cox, Meng Jiang, Yang Yang, Tamara Kay, Danielle Wood, Jay Brockman
The AI inequality is caused by (1) the technology divide in who has access to AI technologies in gig work; and (2) the data divide in who owns the data in gig work leads to unfair working conditions, growing pay gap, neglect of workers' diverse preferences, and workers' lack of trust in the platforms.
no code implementations • 28 Apr 2022 • Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Wei-Shi Zheng, Ruixuan Wang
In this case, updating the intelligent system with data of new diseases would inevitably downgrade its performance on previously learned diseases.
2 code implementations • 21 Apr 2022 • Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang
First, it is challenging to find a universal method that are suitable for all cases considering the divergence of different datasets and models.
no code implementations • 19 Apr 2022 • Chuanhong Liu, Caili Guo, Yang Yang, Nan Jiang
To solve the problem, both compression ratio and resource allocation are optimized for the task-oriented communication system to maximize the success probability of tasks.
no code implementations • 19 Apr 2022 • Yang Yang, Yiyang Huang, Ming Shi, Kejiang Chen, Weiming Zhang, Nenghai Yu
Then, put the "Mask" face onto the protected face and generate the masked face, in which the masked face is indistinguishable from "Mask" face.
no code implementations • 18 Apr 2022 • Zhiyu Zhu, Caili Guo, Rongzhen Bao, Mingzhe Chen, Walid Saad, Yang Yang
In this paper, the arc feature of the circular luminaire and the coordinate information obtained via visible light communication (VLC) are jointly used for VLC-enabled indoor positioning, and a novel perspective arcs approach is proposed.
no code implementations • 18 Apr 2022 • Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan
To enhance the performance of dense retrieval models without loss of efficiency, we propose a GNN-encoder model in which query (passage) information is fused into passage (query) representations via graph neural networks that are constructed by queries and their top retrieved passages.
no code implementations • Proceedings of the 25th International Conference on Artificial Intelligence and Statistics 2022 • Zhaobin Kuang, Chidubem Arachie, Bangyong Liang, Pradyumna Narayana, Giulia Desalvo, MICHAEL QUINN, Bert Huang, Geoffrey Downs, Yang Yang
In particular, Firebolt learns the class balance and class-specific accuracy of LFs jointly from unlabeled data.
no code implementations • 18 Mar 2022 • Changfeng Ma, Yang Yang, Jie Guo, Chongjun Wang, Yanwen Guo
We propose in this paper an end-to-end network, named CS-Net, to complete the point clouds contaminated by noises or containing outliers.
no code implementations • 18 Mar 2022 • Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang
The conversational recommender systems (CRSs) have received extensive attention in recent years.
1 code implementation • 17 Mar 2022 • Yan Kai, Liang Lanyue, Zheng Ziqiang, Wang Guoqing, Yang Yang
Underwater visual perception is essentially important for underwater exploration, archeology, ecosystem and so on.
no code implementations • 12 Mar 2022 • Lunan Sun, Yang Yang, Mingzhe Chen, Caili Guo, Walid Saad, H. Vincent Poor
In particular, a new IB objective for image transmission is proposed so as to minimize the distortion and the transmission rate.
no code implementations • 3 Mar 2022 • Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S Cohen
To the best of our knowledge, our proposals are the first solutions that integrate ROI-based capabilities into neural video compression models.
no code implementations • 7 Feb 2022 • Xinliang Fu, Jiayin Zheng, Juanyun Mai, Yanbo Shao, Minghao Wang, Linyu Li, Zhaoqi Diao, Yulong Chen, Jianyu Xiao, Jian You, Airu Yin, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo wang, Hua Ji
The segmentation module which precisely outlines the nodules is a crucial step in a computer-aided diagnosis(CAD) system.
no code implementations • 31 Jan 2022 • Sourav Medya, Mohammad Rasoolinejad, Yang Yang, Brian Uzzi
Third, the semantic features of transcripts are more predictive of stock price movements than sales and earnings per share, i. e., traditional hard data in most of the cases.
no code implementations • 31 Jan 2022 • Juanyun Mai, Minghao Wang, Jiayin Zheng, Yanbo Shao, Zhaoqi Diao, Xinliang Fu, Yulong Chen, Jianyu Xiao, Jian You, Airu Yin, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo wang, Hua Ji
The false positive reduction module significantly decreases the average number of candidates generated per scan by 68. 11% and the false discovery rate by 13. 48%, which is promising to reduce distracted proposals for the downstream tasks based on the detection results.
no code implementations • 29 Jan 2022 • Qizheng Sun, Caili Guo, Yang Yang, Jiujiu Chen, Xijun Xue
Experimental results show that the proposed SAIC method can retain more semantic-level information and achieve better performance of downstream AI tasks compared to the traditional deep learning-based method and the advanced perceptual method at the same compression ratio.
no code implementations • 26 Jan 2022 • Chuanhong Liu, Caili Guo, Yang Yang, Jiujiu Chen
The first subproblem is a compression ratio optimization problem with a given resource allocation scheme, which is solved by a enumeration algorithm.
no code implementations • 9 Jan 2022 • Omid Rohanian, Samaneh Kouchaki, Andrew Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David Clifton
One of our main contributions is that we specifically target the development of effective COVID-19 detection models with built-in mechanisms in order to selectively protect sensitive attributes against adversarial attacks.
no code implementations • 8 Jan 2022 • Xinyi Yu, Weiqi He, Xuecheng Qian, Yang Yang, Linlin Ou
Accurate rail location is a crucial part in the railway support driving system for safety monitoring.
no code implementations • 5 Jan 2022 • Yang Zhang, Yang Yang, Chenyun Xiong, Guodong Sun, Yanwen Guo
Encoder-decoder models have been widely used in RGBD semantic segmentation, and most of them are designed via a two-stream network.
Ranked #13 on Semantic Segmentation on SUN-RGBD (using extra training data)
1 code implementation • CVPR 2022 • Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, DaCheng Tao
With estimated scene depth, our method is capable of re-rendering hazy images with different thicknesses which further benefits the training of the dehazing network.
no code implementations • 31 Dec 2021 • Xinyi Yu, Ling Yan, Yang Yang, Libo Zhou, Linlin Ou
In this paper, we propose a conditional generative data-free knowledge distillation (CGDD) framework for training lightweight networks without any training data.
Conditional Image Generation Data-free Knowledge Distillation +1
2 code implementations • 22 Dec 2021 • Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez-Fernández, Qinlong Wang, Yang Yang
Based on the MVP dataset, this paper reports methods and results in the Multi-View Partial Point Cloud Challenge 2021 on Completion and Registration.
no code implementations • 8 Dec 2021 • Dan Li, Yang Yang, Hongyin Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen
With the booming of pre-trained transformers, representation-based models based on Siamese transformer encoders have become mainstream techniques for efficient text matching.
no code implementations • 24 Nov 2021 • Hao Ren, Ziqiang Zheng, Yang Wu, Hong Lu, Yang Yang, Ying Shan, Sai-Kit Yeung
The huge domain gap between sketches and photos and the highly abstract sketch representations pose challenges for sketch-based image retrieval (\underline{SBIR}).
1 code implementation • 8 Nov 2021 • Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang
To bridge this gap, we present the Graph Robustness Benchmark (GRB) with the goal of providing a scalable, unified, modular, and reproducible evaluation for the adversarial robustness of GML models.
no code implementations • 24 Oct 2021 • Chao Fan, Yang Yang, Ali Mostafavi
In this study, we propose using a neural embedding model-graph neural network (GNN)- that leverages the heterogeneous features of urban areas and their interactions captured by human mobility network to obtain vector representations of these areas.
no code implementations • 22 Oct 2021 • Yang Yang, Hongchen Wei, HengShu Zhu, dianhai yu, Hui Xiong, Jian Yang
In detail, considering that the heterogeneous gap between modalities always leads to the supervision difficulty of using the global embedding directly, CPRC turns to transform both the raw image and corresponding generated sentence into the shared semantic space, and measure the generated sentence from two aspects: 1) Prediction consistency.
no code implementations • 14 Oct 2021 • Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang
Zero-shot learning (ZSL) aims to recognize unseen classes based on the knowledge of seen classes.
no code implementations • 29 Sep 2021 • Meihong Pan, Chunqiu Xia, Hongyi Xin, Yang Yang, Xiaoyong Pan, Hong-Bin Shen
Such approach could lead to information imbalance between support and query samples, which confounds model generalization from support to query samples.
no code implementations • 29 Sep 2021 • Yang Yang, Caili Guo, Fangfang Liu, Chuanhong Liu, Lunan Sun, Qizheng Sun, Jiujiu Chen
A radical paradigm shift of wireless networks from ``connected things'' to ``connected intelligence'' undergoes, which coincides with the Shanno and Weaver's envisions: Communications will transform from the technical level to the semantic level.
3 code implementations • ICLR 2022 • Yinhao Zhu, Yang Yang, Taco Cohen
Neural data compression based on nonlinear transform coding has made great progress over the last few years, mainly due to improvements in prior models, quantization methods and nonlinear transforms.
no code implementations • 13 Sep 2021 • Tianyi Liu, Andreas M. Tillmann, Yang Yang, Yonina C. Eldar, Marius Pesavento
The second algorithm, referred to as SCAphase, uses auxiliary variables and is favorable in the case of highly diverse mixture models.
no code implementations • 10 Sep 2021 • Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang
We propose a novel combination of a variant beam search algorithm and a learned heuristic for solving the general orienteering problem.
no code implementations • 3 Sep 2021 • Peiyuan Zhou, Andrew K. C. Wong, Yang Yang, Scott T. Leatherdale, Kate Battista, Zahid A. Butt, George Michalopoulos, Helen Chen
COMPASS is a longitudinal, prospective cohort study collecting data annually from students attending high school in jurisdictions across Canada.
no code implementations • 30 Aug 2021 • JianPing Wang, Runlong Li, Yuan He, Yang Yang
The effectiveness and accuracy of our proposed complex-valued fully convolutional network (CV-FCN) based interference mitigation approach are verified and analyzed through both simulated and measured radar signals.
no code implementations • 29 Aug 2021 • Yang Yang, Yujie Yang, Mingzhe Chen, Chunyan Feng, Hailun Xia, Shuguang Cui, H. Vincent Poor
First, a MU-MC-VLC system model is established, and then a sum-rate maximization problem under dimming level and illumination uniformity constraints is formulated.
1 code implementation • 27 Aug 2021 • Yang Yang, Min Li, Bo Meng, Junxing Ren, Degang Sun, Zihao Huang
On the basis of SALT and SDR loss, we propose SALT-Net, which explicitly exploits task-aligned point-set features for accurate detection results.
no code implementations • 24 Aug 2021 • Lin William Cong, Xi Li, Ke Tang, Yang Yang
We introduce systematic tests exploiting robust statistical and behavioral patterns in trading to detect fake transactions on 29 cryptocurrency exchanges.
no code implementations • 23 Jul 2021 • Yu Jing, Xiaogang Li, Yang Yang, Chonghang Wu, Wenbing Fu, Wei Hu, Yuanyuan Li, Hua Xu
With the rapid growth of qubit numbers and coherence times in quantum hardware technology, implementing shallow neural networks on the so-called Noisy Intermediate-Scale Quantum (NISQ) devices has attracted a lot of interest.
1 code implementation • CVPR 2021 • Zeyuan Chen, Yangchao Wang, Yang Yang, Dong Liu
Deep learning-based methods have achieved remarkable performance for image dehazing.
no code implementations • CVPR 2021 • Mingxing Zhang, Yang Yang, Xinghan Chen, Yanli Ji, Xing Xu, Jingjing Li, Heng Tao Shen
Then for a moment candidate, we concatenate the starting/middle/ending representations of its starting/middle/ending elements respectively to form the final moment representation.
no code implementations • NAACL 2021 • Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang
Faced with increased compute requirements and low resources for language expansion, we build a single universal model for improving the quality and reducing run-time costs of our production system.
no code implementations • 29 Apr 2021 • Yang Yang, Min Li, Bo Meng, Zihao Huang, Junxing Ren, Degang Sun
We also propose a new metric to measure the similarity between two groups of extreme points, namely, Extreme Intersection over Union (EIoU), and incorporate this EIoU as a new regression loss.
no code implementations • 17 Apr 2021 • Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang
Moreover, we introduce the extrinsic unlabeled multi-modal multi-instance data, and propose the M3DNS, which considers the instance-level auto-encoder for single modality and modified bag-level optimal transport to strengthen the consistency among modalities.
no code implementations • 6 Apr 2021 • Yang Yang, YuanHao Liu, Hengyue Liang, Xibai Lou, Changhyun Choi
In this work, we introduce an end-to-end learning method of attribute-based robotic grasping with one-grasp adaptation capability.