no code implementations • ECNLP (ACL) 2022 • Lei Chen, Hou Wei Chou
Moreover, the proposed method is able to keep using existing text-only IC inference implementation and shows a resource advantage than the deployment of a dual-input MIC system.
no code implementations • ACL (ECNLP) 2021 • Lei Chen, Houwei Chou, Yandi Xia, Hirokazu Miyake
The Transformer has proven to be a powerful feature extraction method and has gained widespread adoption in natural language processing (NLP).
no code implementations • NAACL (BEA) 2022 • Lei Chen, Chenglin Jiang, Yiwei Gu, Yang Liu, Jiahong Yuan
Reduced form pronunciations are widely used by native English speakers, especially in casual conversations.
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 • SemEval (NAACL) 2022 • Lei Chen, Hou Wei Chou
Detecting MEME images to be misogynous or not is an application useful on curbing online hateful information against women.
no code implementations • 9 May 2024 • Xiaohui Zhong, Lei Chen, Hao Li, Jie Feng, Bo Lu
Recent ML models, such as GenCast and SEEDS model, rely on the ERA5 Ensemble of Data Assimilations (EDA) or two operational NWP ensemble members for forecast generation.
1 code implementation • 3 May 2024 • Jiawei Zhou, Li Dong, Furu Wei, Lei Chen
The landscape of information retrieval has broadened from search services to a critical component in various advanced applications, where indexing efficiency, cost-effectiveness, and freshness are increasingly important yet remain less explored.
1 code implementation • 22 Apr 2024 • Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang
NAE is a more challenging task because it requires both narrative flexibility and evaluation rigor.
no code implementations • 12 Apr 2024 • Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang, Hisao Ishibuchi
In this manner, the proposed method can sample preference vectors from the location of the Pareto front with a high probability.
no code implementations • 12 Apr 2024 • Xiaoze Xu, Xiuyu Sun, Wei Han, Xiaohui Zhong, Lei Chen, Hao Li
Data assimilation (DA), as an indispensable component within contemporary Numerical Weather Prediction (NWP) systems, plays a crucial role in generating the analysis that significantly impacts forecast performance.
no code implementations • 11 Apr 2024 • Lei Chen, Xingen Gao
In the field of crowd-counting research, many recent deep learning based methods have demonstrated robust capabilities for accurately estimating crowd sizes.
no code implementations • 21 Mar 2024 • Rakuten Group, Aaron Levine, Connie Huang, Chenguang Wang, Eduardo Batista, Ewa Szymanska, Hongyi Ding, Hou Wei Chou, Jean-François Pessiot, Johanes Effendi, Justin Chiu, Kai Torben Ohlhus, Karan Chopra, Keiji Shinzato, Koji Murakami, Lee Xiong, Lei Chen, Maki Kubota, Maksim Tkachenko, Miroku Lee, Naoki Takahashi, Prathyusha Jwalapuram, Ryutaro Tatsushima, Saurabh Jain, Sunil Kumar Yadav, Ting Cai, Wei-Te Chen, Yandi Xia, Yuki Nakayama, Yutaka Higashiyama
We introduce RakutenAI-7B, a suite of Japanese-oriented large language models that achieve the best performance on the Japanese LM Harness benchmarks among the open 7B models.
1 code implementation • 21 Mar 2024 • Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen
Recommendation systems, as widely implemented nowadays on various platforms, recommend relevant items to users based on their preferences.
no code implementations • 19 Mar 2024 • Luyu Qiu, Jianing Li, Lei Wen, Chi Su, Fei Hao, Chen Jason Zhang, Lei Chen
In this paper, we propose XPose, a novel framework that incorporates Explainable AI (XAI) principles into pose estimation.
no code implementations • 19 Mar 2024 • Dongyang Xu, Haokun Li, Qingfan Wang, Ziying Song, Lei Chen, Hanming Deng
By incorporating driver attention, we empower the human-like scene understanding ability to autonomous vehicles to identify crucial areas within complex scenarios precisely and ensure safety.
no code implementations • 18 Mar 2024 • Xufeng Yao, Haoyang Li, Tsz Ho Chan, Wenyi Xiao, Mingxuan Yuan, Yu Huang, Lei Chen, Bei Yu
In the domain of chip design, Hardware Description Languages (HDLs) play a pivotal role.
no code implementations • 16 Mar 2024 • Zhiheng Li, Muheng Li, Jixuan Fan, Lei Chen, Yansong Tang, Jie zhou, Jiwen Lu
Scale arbitrary super-resolution based on implicit image function gains increasing popularity since it can better represent the visual world in a continuous manner.
no code implementations • 14 Mar 2024 • Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
Then, can circuits also be mastered by a a sufficiently large "circuit model", which can conquer electronic design tasks by simply predicting the next logic gate?
1 code implementation • 13 Mar 2024 • Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu
Adverse drug-drug interactions~(DDIs) can compromise the effectiveness of concurrent drug administration, posing a significant challenge in healthcare.
no code implementations • 6 Mar 2024 • Sijin Zhang, Alvaro Orsi, Lei Chen
Agent Based Models (ABMs) have emerged as a powerful tool for investigating complex social interactions, particularly in the context of public health and infectious disease investigation.
no code implementations • 15 Feb 2024 • Ying Su, Tianqing Fang, Huiru Xiao, Weiqi Wang, Yangqiu Song, Tong Zhang, Lei Chen
In this paper, we propose to adopt textual entailment to find implicit entailment relations between CSKG nodes, to effectively densify the subgraph connecting nodes within the same conceptual class, which indicates a similar level of plausibility.
no code implementations • 15 Feb 2024 • Pengyang Shao, Chen Gao, Lei Chen, Yonghui Yang, Kun Zhang, Meng Wang
Typically, these CD algorithms assist students by inferring their abilities (i. e., their proficiency levels on various knowledge concepts).
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 • 3 Feb 2024 • Yangxun Ou, Lei Chen, Fenglin Pan, Yupeng Wu
Specifically, we first propose prototypes (cluster centroids) as a latent space to ensure consistency across different augmentations from the origin graph, aiming to eliminate the need for random sampling of contrastive pairs.
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 • 7 Jan 2024 • Huahang Li, Longyu Feng, Shuangyin Li, Fei Hao, Chen Jason Zhang, Yuanfeng Song, Lei Chen
Entity resolution, the task of identifying and consolidating records that pertain to the same real-world entity, plays a pivotal role in various sectors such as e-commerce, healthcare, and law enforcement.
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.
no code implementations • 21 Dec 2023 • YiXuan Wang, Shuangyin Li, Shimin Di, Lei Chen
The single-cell RNA sequencing (scRNA-seq) technology enables researchers to study complex biological systems and diseases with high resolution.
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 • 19 Dec 2023 • Shuli Wang, Kun Gao, Lanfang Zhang, Yang Liu, Lei Chen
Specifically, based on a certain length of historical trajectory data, the situation-specific driving preferences of each driver are identified, where key driving behavior feature vectors are extracted to characterize heterogeneity in driving behavior among different drivers.
no code implementations • 18 Dec 2023 • Zahra Ghasemi, Mehdi Nesht, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
This study introduces an enhanced GP approach entitled multi-equation GP (MEGP) for more accurate prediction of SAG mill throughput.
no code implementations • 18 Dec 2023 • Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
This study introduces a hybrid intelligent framework leveraging expert knowledge, machine learning techniques, and evolutionary algorithms to address this research need.
1 code implementation • 18 Dec 2023 • Yuyang Chai, Zhuang Li, Jiahui Liu, Lei Chen, Fei Li, Donghong Ji, Chong Teng
Our experiments show that this data augmentation approach significantly improves the compositional generalization capabilities of classification models on our benchmarks, with both generation models surpassing other text generation baselines.
no code implementations • 17 Dec 2023 • Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
We validate our conjecture that monosemanticity brings about performance change at different model scales on a variety of neural networks and benchmark datasets in different areas, including language, image, and physics simulation tasks.
no code implementations • 15 Dec 2023 • Lei Chen, Xiaohui Zhong, Jie Wu, Deliang Chen, Shangping Xie, Qingchen Chao, Chensen Lin, Zixin Hu, Bo Lu, Hao Li, Yuan Qi
Skillful subseasonal forecasts beyond 2 weeks are crucial for a wide range of applications across various sectors of society.
1 code implementation • 27 Nov 2023 • Jia Li, Yanyan Shen, Lei Chen, Charles Wang Wai Ng
Inspired by the Cloze task and BERT, we fully consider the characteristics of spatial interpolation and design the SpaFormer model based on the Transformer architecture as the core of SSIN.
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 • 27 Oct 2023 • Yeongseo Jung, Eunseo Jung, Lei Chen
In Conversational Recommendation System (CRS), an agent is asked to recommend a set of items to users within natural language conversations.
no code implementations • 25 Oct 2023 • Xiaohui Zhong, Lei Chen, Jun Liu, Chensen Lin, Yuan Qi, Hao Li
State-of-the-art ML-based weather forecast models, such as FuXi, have demonstrated superior statistical forecast performance in comparison to the high-resolution forecasts (HRES) of the European Centre for Medium-Range Weather Forecasts (ECMWF).
no code implementations • 25 Oct 2023 • Qizhen Wu, Lei Chen, Kexin Liu, Jinhu Lv
In this paper, we propose a novel centralized training with decentralized execution method based on multi-agent reinforcement learning to solve the dynamic obstacle avoidance problem online.
Model Predictive Control Multi-agent Reinforcement Learning +1
no code implementations • 25 Oct 2023 • Qizhen Wu, Kexin Liu, Lei Chen
Reinforcement learning suffers from limitations in real practices primarily due to the number of required interactions with virtual environments.
5 code implementations • 16 Oct 2023 • Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, XiaoLi Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
In this survey, we offer a comprehensive and up-to-date review of large models tailored (or adapted) for time series and spatio-temporal data, spanning four key facets: data types, model categories, model scopes, and application areas/tasks.
1 code implementation • 11 Oct 2023 • Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu
In this paper, we reformulate this task as a multi-label classification task that can be applied for real-world scenario in which only annotation of attribute values is available to train models (i. e., annotation of positional information of attribute values is not available).
no code implementations • 10 Oct 2023 • Qingfa Xiao, Shuangyin Li, Lei Chen
Prompt-based learning's efficacy across numerous natural language processing tasks has led to its integration into dense passage retrieval.
1 code implementation • ICCV 2023 • Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, Jie zhou
By this means, our model explores all sorts of reliable sub-relations within an action sequence in the condensed action space.
1 code implementation • 18 Sep 2023 • Kexin Li, Zongxin Yang, Lei Chen, Yi Yang, Jun Xiao
However, existing methods exhibit two limitations: 1) they address video temporal features and audio-visual interactive features separately, disregarding the inherent spatial-temporal dependence of combined audio and video, and 2) they inadequately introduce audio constraints and object-level information during the decoding stage, resulting in segmentation outcomes that fail to comply with audio directives.
no code implementations • 5 Sep 2023 • Zhenghong Zhou, Huangxuan Zhao, Jiemin Fang, Dongqiao Xiang, Lei Chen, Lingxia Wu, Feihong Wu, Wenyu Liu, Chuansheng Zheng, Xinggang Wang
Additionally, 2D and 3D DSA imaging results can be generated from the reconstructed 4D DSA images.
1 code implementation • 24 Aug 2023 • Tongtao Ling, Chen Liao, Zhipeng Yu, Lei Chen, Shilei Huang, Yi Liu
In clinical dictation, utterances after automatic speech recognition (ASR) without explicit punctuation marks may lead to the misunderstanding of dictated reports.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 22 Aug 2023 • Xu Zhang, Lei Chen
Prognostic signatures play an important role in clinical research, offering insights into the potential health outcomes of patients and guiding therapeutic decisions.
1 code implementation • 22 Aug 2023 • Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu
In particular, we notice that the runtime of the Resub and Mfs2 operators often dominates the overall runtime of LS optimization processes.
1 code implementation • 14 Aug 2023 • Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou
Given a pre-trained GNN, we propose to search to fine-tune pre-trained graph neural networks for graph-level tasks (S2PGNN), which adaptively design a suitable fine-tuning framework for the given labeled data on the downstream task.
1 code implementation • 12 Aug 2023 • Tonghui Zou, Lei Chen
Therefore, we also propose LadleNet+, which replaces the Handle module in LadleNet with a pre-trained DeepLabv3+ network, enabling the model to have a more powerful capability in constructing semantic space.
no code implementations • 9 Aug 2023 • Liping Wang, Jiawei Li, Lifan Zhao, Zhizhuo Kou, Xiaohan Wang, Xinyi Zhu, Hao Wang, Yanyan Shen, Lei Chen
Predicting stock prices presents a challenging research problem due to the inherent volatility and non-linear nature of the stock market.
no code implementations • 20 Jul 2023 • Qingfa Xiao, Shuangyin Li, Lei Chen
While the InfoNCE loss function overlooks the semantic margin and prioritizes similarity maximization between positive pairs during training, leading to the insensitive semantic comprehension ability of the trained model.
1 code implementation • 25 Jun 2023 • Tongtao Ling, Lei Chen, Huangxu Sheng, Zicheng Cai, Hai-Lin Liu
The traditional way of sentence-level event detection involves two important subtasks: trigger identification and trigger classifications, where the identified event trigger words are used to classify event types from sentences.
2 code implementations • 22 Jun 2023 • Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi, Hao Li
Over the past few years, due to the rapid development of machine learning (ML) models for weather forecasting, state-of-the-art ML models have shown superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)'s high-resolution forecast (HRES) in 10-day forecasts at a spatial resolution of 0. 25 degree.
1 code implementation • 18 Jun 2023 • Tongtao Ling, Lei Chen, Yutao Lai, Hai-Lin Liu
In this paper, we focus on automatically constructing the optimal verbalizer and propose a novel evolutionary verbalizer search (EVS) algorithm, to improve prompt-based tuning with the high-performance verbalizer.
no code implementations • 17 Jun 2023 • Xi Zhu, Likang Wang, Caifa Zhou, Xiya Cao, Yue Gong, Lei Chen
The perception module of self-driving vehicles relies on a multi-sensor system to understand its environment.
no code implementations • 5 Jun 2023 • Lei Chen, Fei Du, Yuan Hu, Fan Wang, Zhibin Wang
Recurrent predictions for future atmospheric fields are firstly performed at 1. 40625-degree resolution, and then a diffusion-based super-resolution model is leveraged to recover the high spatial resolution and finer-scale atmospheric details.
no code implementations • 24 May 2023 • Feifei Shao, Yawei Luo, Lei Chen, Ping Liu, Wei Yang, Yi Yang, Jun Xiao
In this paper, we conduct a thorough causal analysis to investigate the origins of biased activation.
no code implementations • 24 May 2023 • Rohan Bhambhoria, Lei Chen, Xiaodan Zhu
To address these limitations, we propose the use of entailment-contradiction prediction in conjunction with LLMs, which allows for strong performance in a strict zero-shot setting.
no code implementations • 23 May 2023 • Yuanzhen Xie, Tao Xie, Mingxiong Lin, WenTao Wei, Chenglin Li, Beibei Kong, Lei Chen, Chengxiang Zhuo, Bo Hu, Zang Li
At present, most approaches focus on chains of thought (COT) and tool use, without considering the adoption and application of human cognitive frameworks.
no code implementations • 20 May 2023 • Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen
Machine learning systems produce biased results towards certain demographic groups, known as the fairness problem.
no code implementations • 19 May 2023 • Chenchi Zhang, Jun Xiao, Lei Chen, Jian Shao, Long Chen
In this paper, we argue that their poor interpretability is attributed to the holistic prompt generation and inference process.
2 code implementations • 8 May 2023 • Weiqi Wang, Tianqing Fang, Baixuan Xu, Chun Yi Louis Bo, Yangqiu Song, Lei Chen
Commonsense reasoning, aiming at endowing machines with a human-like ability to make situational presumptions, is extremely challenging to generalize.
2 code implementations • ICCV 2023 • Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, LiMin Wang
Our EVAD consists of two specialized designs for video action detection.
no code implementations • 6 Apr 2023 • Hengkui Dong, Xianzhong Long, Yun Li, Lei Chen
Contrastive learning has emerged as an essential approach for self-supervised learning in visual representation learning.
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.
no code implementations • 28 Mar 2023 • Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, LiMin Wang
Existing studies model each actor and scene relation to improve action recognition.
1 code implementation • 23 Mar 2023 • Wenqing Wang, Yawei Luo, Zhiqing Chen, Tao Jiang, Lei Chen, Yi Yang, Jun Xiao
Specifically, DLL decouples the predicate labels and adopts separate classifiers to learn actional and spatial patterns respectively.
Ranked #1 on Video scene graph generation on ImageNet-VidVRD
no code implementations • 28 Feb 2023 • Likang Wang, Lei Chen
Existing one-shot neural architecture search (NAS) methods have to conduct a search over a giant super-net, which leads to the huge computational cost.
1 code implementation • 13 Feb 2023 • Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
We augment imbalanced training data towards balanced data distribution to improve fairness.
no code implementations • CVPR 2023 • Likang Wang, Lei Chen
This strategy simultaneously enables high effectiveness and efficiency by attending to the most reliable nominators.
1 code implementation • ICCV 2023 • Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
However, such a method is highly sensitive to the standard deviation \sigma_n of noises injected to clean images, where \sigma_n is inaccessible without knowing clean images.
no code implementations • 15 Dec 2022 • Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen
In light of this, we present Vocabulary Disentangled Retrieval (VDR), a retrieval-based framework that harnesses natural language as proxies of the underlying data variation to drive disentangled representation learning.
no code implementations • 1 Nov 2022 • Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen
In recent years, many efforts have been made on distributed GNN training, and an array of training algorithms and systems have been proposed.
2 code implementations • 13 Oct 2022 • Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, XiaoHu Qie
Existing benchmark datasets for recommender systems (RS) either are created at a small scale or involve very limited forms of user feedback.
no code implementations • 3 Oct 2022 • Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter Pietzuch, Lei Chen
Yet, current distributed RL systems tie the definition of RL algorithms to their distributed execution: they hard-code particular distribution strategies and only accelerate specific parts of the computation (e. g. policy network updates) on GPU workers.
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 • 21 Sep 2022 • Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
As one of the most successful AI-powered applications, recommender systems aim to help people make appropriate decisions in an effective and efficient way, by providing personalized suggestions in many aspects of our lives, especially for various human-oriented online services such as e-commerce platforms and social media sites.
no code implementations • 5 Sep 2022 • Lei Chen, Haibo Qin, Shi-Xue Zhang, Chun Yang, XuCheng Yin
In this paper, we propose an efficient attention-free Single-Point Decoding Network (dubbed SPDN) for scene text recognition, which can replace the traditional attention-based decoding network.
1 code implementation • 26 Aug 2022 • Shi-Xue Zhang, Xiaobin Zhu, Lei Chen, Jie-Bo Hou, Xu-Cheng Yin
To be concrete, we adopt a Sigmoid Alpha Function (SAF) to transfer the distances between boundaries and their inside pixels to a probability map.
2 code implementations • International Conference on Data Engineering 2022 • Shendi Wang, Haoyang Li, Caleb Chen Cao, Xiao-Hui Li, Ng Ngai Fai, Jianxin Liu, Xun Xue, Hu Song, Jinyu Li, Guangye Gu, Lei Chen
Recently, neural networks based models have been widely used for recommender systems (RS).
no code implementations • 26 Jul 2022 • Yue Zhang, Yajie Zou, Yuanchang Xie, Lei Chen
A quantitative understanding of dynamic lane-changing (LC) interaction patterns is indispensable for improving the decision-making of autonomous vehicles, especially in mixed traffic with human-driven vehicles.
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 • 1 Jul 2022 • Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
Meanwhile, we treat each edge sequence as a whole and embed its ToV of the first vertex to further encode the time-sensitive information.
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.
2 code implementations • 24 Jun 2022 • Sirui Liu, Jun Zhang, Haotian Chu, Min Wang, Boxin Xue, Ningxi Ni, Jialiang Yu, Yuhao Xie, Zhenyu Chen, Mengyun Chen, YuAn Liu, Piya Patra, Fan Xu, Jie Chen, Zidong Wang, Lijiang Yang, Fan Yu, Lei Chen, Yi Qin Gao
We provide in addition the benchmark training procedure for SOTA protein structure prediction model on this dataset.
no code implementations • 8 Jun 2022 • Lei Chen, Joan Bruna
Gradient Descent (GD) is a powerful workhorse of modern machine learning thanks to its scalability and efficiency in high-dimensional spaces.
no code implementations • 26 May 2022 • Yuan Hu, Lei Chen, Zhibin Wang, Hao Li
We also compare four categories of perturbation methods for ensemble forecasting, i. e. fixed distribution perturbation, learned distribution perturbation, MC dropout, and multi model ensemble.
no code implementations • 17 May 2022 • Thomas Delteil, Edouard Belval, Lei Chen, Luis Goncalves, Vijay Mahadevan
In these, text semantics and visual information supplement each other to provide a global understanding of the document.
no code implementations • 29 Apr 2022 • Chang Shu, Ziming Chen, Lei Chen, Kuan Ma, Minghui Wang, Haibing Ren
To the best of our knowledge, this is the first work to show that transformer-based networks can attain state-of-the-art performance in real-time in the single image depth estimation field.
1 code implementation • 26 Apr 2022 • Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
While conventional CF models are known for facing the challenges of the popularity bias that favors popular items, one may wonder "Whether the existing graph-based CF models alleviate or exacerbate popularity bias of recommender systems?"
1 code implementation • CVPR 2022 • Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie zhou, Jiwen Lu
The generated text prompts are paired with corresponding video clips, and together co-train the text encoder and the video encoder via a contrastive approach.
Ranked #4 on Action Segmentation on GTEA (using extra training data)
1 code implementation • ACL 2022 • Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen
To alleviate the data scarcity problem in training question answering systems, recent works propose additional intermediate pre-training for dense passage retrieval (DPR).
no code implementations • 28 Feb 2022 • Daniel Gao, Yantao Jia, Lei LI, Chengzhen Fu, Zhicheng Dou, Hao Jiang, Xinyu Zhang, Lei Chen, Zhao Cao
However, to figure out whether PLMs can be reliable knowledge sources and used as alternative knowledge bases (KBs), we need to further explore some critical features of PLMs.
no code implementations • 25 Feb 2022 • Jiahui Duan, Xialiang Tong, Fei Ni, Zhenan He, Lei Chen, Mingxuan Yuan
The bin packing problem exists widely in real logistic scenarios (e. g., packing pipeline, express delivery), with its goal to improve the packing efficiency and reduce the transportation cost.
no code implementations • 10 Jan 2022 • Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang
In this paper, we study a region partitioning problem, namely optimal grid size selection problem (OGSS), which aims to minimize the real error of spatiotemporal prediction models by selecting the optimal grid size.
no code implementations • 14 Dec 2021 • Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
Thus, graph pre-training has the great potential to alleviate data sparsity in GNN-based recommendations.
1 code implementation • NeurIPS 2021 • Zhili Wang, Shimin Di, Lei Chen
However, existing AutoGNN works mainly adopt an implicit way to model and leverage the link information in the graphs, which is not well regularized to the link prediction task on graphs, and limits the performance of AutoGNN for other graph tasks.
no code implementations • 15 Nov 2021 • Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong
Many important problems in science and engineering require solving the so-called parametric partial differential equations (PDEs), i. e., PDEs with different physical parameters, boundary conditions, shapes of computation domains, etc.
1 code implementation • 10 Nov 2021 • Xiangru Lian, Binhang Yuan, XueFeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen yang, Ce Zhang, Ji Liu
Specifically, in order to ensure both the training efficiency and the training accuracy, we design a novel hybrid training algorithm, where the embedding layer and the dense neural network are handled by different synchronization mechanisms; then we build a system called Persia (short for parallel recommendation training system with hybrid acceleration) to support this hybrid training algorithm.
no code implementations • 2 Nov 2021 • Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong
In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs) emerges to be a promising method for solving both forward and inverse PDE problems.
no code implementations • NeurIPS 2021 • Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou
Time series forecasting is widely used in business intelligence, e. g., forecast stock market price, sales, and help the analysis of data trend.
no code implementations • 14 Oct 2021 • Hao Jiang, Ke Zhan, Jianwei Qu, Yongkang Wu, Zhaoye Fei, Xinyu Zhang, Lei Chen, Zhicheng Dou, Xipeng Qiu, Zikai Guo, Ruofei Lai, Jiawen Wu, Enrui Hu, Yinxia Zhang, Yantao Jia, Fan Yu, Zhao Cao
To increase the number of activated experts without an increase in computational cost, we propose SAM (Switch and Mixture) routing, an efficient hierarchical routing mechanism that activates multiple experts in a same device (GPU).
no code implementations • 12 Oct 2021 • Zhuang Shao, Xiaoliang Chen, Li Du, Lei Chen, Yuan Du, Wei Zhuang, Huadong Wei, Chenjia Xie, Zhongfeng Wang
To maintain real-time processing in embedded systems, large on-chip memory is required to buffer the interlayer feature maps.
no code implementations • 29 Sep 2021 • Shimin Di, Lei Chen
In this paper, we first unify a search space of message functions that enables both structures and operators to be searchable.
no code implementations • 24 Aug 2021 • Yige Zhang, Weixiong Rao, Kun Zhang, Lei Chen
The HMM approaches typically assume stable mobility patterns of the underlying mobile devices.
no code implementations • 19 Aug 2021 • Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wan, Xuanjing Huang
Existing system dealing with online complaint provides a final decision without explanations.
no code implementations • Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2021 • Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen
It has been long debated that eXplainable AI (XAI) is an important technology for model and data exploration, validation, and debugging.
no code implementations • ACL 2021 • Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang
In addition, we propose a novel task, namely hashtag usage prediction to model the ideology of legislators on Twitter.
no code implementations • 27 Jul 2021 • Luyu Qiu, Yi Yang, Caleb Chen Cao, Jing Liu, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hsiao, Lei Chen
Besides, our solution also resolves a fundamental problem with the faithfulness indicator, a commonly used evaluation metric of XAI algorithms that appears to be sensitive to the OoD issue.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
no code implementations • 19 Jul 2021 • Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng
In this paper, we consider an important dynamic car-hailing problem, namely \textit{maximum revenue vehicle dispatching} (MRVD), in which rider requests dynamically arrive and drivers need to serve as many riders as possible such that the entire revenue of the platform is maximized.
no code implementations • 15 Jul 2021 • Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li
To realize such a goal, we propose AdaRec, a knowledge distillation (KD) framework which compresses knowledge of a teacher model into a student model adaptively according to its recommendation scene by using differentiable Neural Architecture Search (NAS).
3 code implementations • Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 2021 • Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao, Lei Chen
Currently, the most popular method for open-domain Question Answering (QA) adopts "Retriever and Reader" pipeline, where the retriever extracts a list of candidate documents from a large set of documents followed by a ranker to rank the most relevant documents and the reader extracts answer from the candidates.
no code implementations • CVPR 2021 • Mengyao Zhai, Lei Chen, Greg Mori
Deep neural networks are susceptible to catastrophic forgetting: when encountering a new task, they can only remember the new task and fail to preserve its ability to accomplish previously learned tasks.
no code implementations • 15 Jun 2021 • Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang
Fine-tuning works as an effective transfer learning technique for this objective, which adapts the parameters of a pre-trained model from the source domain to the target domain.
no code implementations • 14 Jun 2021 • Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng
Computer systems such as storage systems normally require transparent white-box algorithms that are interpretable for human experts.
no code implementations • NAACL 2021 • Lei Chen, Hirokazu Miyake
Item categorization is an important application of text classification in e-commerce due to its impact on the online shopping experience of users.
no code implementations • AAAI Technical Track on Machine Learning 2021 • Mengyun Chen, Kaixin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, ZhengHai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu
It is well-known that second-order optimizer can accelerate the training of deep neural networks, however, the huge computation cost of second-order optimization makes it impractical to apply in real practice.
1 code implementation • ICCV 2021 • Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, LiMin Wang
Spatio-temporal action detection is an important and challenging problem in video understanding.
1 code implementation • 16 May 2021 • Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang
Despite the performance gain of these implicit feedback based models, the recommendation results are still far from satisfactory due to the sparsity of the observed item set for each user.
1 code implementation • 24 Apr 2021 • Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
Hence, we develop an approach based on intermediate representations of poses and appearance: our pose-guided appearance rendering network firstly encodes the targets' poses using an encoder-decoder neural network.
no code implementations • ECCV 2020 • Mengyao Zhai, Lei Chen, JiaWei He, Megha Nawhal, Frederick Tung, Greg Mori
In contrast, we propose a parameter efficient framework, Piggyback GAN, which learns the current task by building a set of convolutional and deconvolutional filters that are factorized into filters of the models trained on previous tasks.
3 code implementations • 22 Apr 2021 • Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
The scoring function, which measures the plausibility of triplets in knowledge graphs (KGs), is the key to ensure the excellent performance of KG embedding, and its design is also an important problem in the literature.
1 code implementation • 21 Apr 2021 • Shimin Di, Quanming Yao, Lei Chen
Recently, tensor decomposition methods have been introduced into N-ary relational data and become state-of-the-art on embedding learning.
no code implementations • 8 Mar 2021 • Lei Chen, Shao-En Weng, Chu-Jun Peng, Hong-Han Shuai, Wen-Huang Cheng
Network security has been an active research topic for long.
1 code implementation • 18 Feb 2021 • Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
For each user, this transformation is achieved under the adversarial learning of a user-centric graph, in order to obfuscate each sensitive feature between both the filtered user embedding and the sub graph structures of this user.
no code implementations • 21 Jan 2021 • Zhenyi Zheng, Yue Zhang, Victor Lopez-Dominguez, Luis Sánchez-Tejerina, Jiacheng Shi, Xueqiang Feng, Lei Chen, Zilu Wang, Zhizhong Zhang, Kun Zhang, Bin Hong, Yong Xu, Youguang Zhang, Mario Carpentieri, Albert Fert, Giovanni Finocchio, Weisheng Zhao, Pedram Khalili Amiri
Existing methods to do so involve the application of an in-plane bias magnetic field, or incorporation of in-plane structural asymmetry in the device, both of which can be difficult to implement in practical applications.
Mesoscale and Nanoscale Physics
no code implementations • 14 Jan 2021 • ZhiHao Zhou, Wei Liu, Jiajing He, Lei Chen, Xin Luo, Dongyi Shen, Jianjun Cao, Yaping Dan, Xianfeng Chen, Wenjie Wan
Abbe's resolution limit, one of the best-known physical limitations, poses a great challenge for any wave systems in imaging, wave transport, and dynamics.
Super-Resolution Optics
6 code implementations • ICCV 2021 • Xinjun Ma, Yue Gong, Qirui Wang, Jingwei Huang, Lei Chen, Fan Yu
As a result, we achieve promising results on all datasets and the highest F-Score on the online TNT intermediate benchmark.
Ranked #8 on Point Clouds on Tanks and Temples
no code implementations • 31 Dec 2020 • Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen
It has been long debated that eXplainable AI (XAI) is an important topic, but it lacks rigorous definition and fair metrics.
1 code implementation • COLING 2020 • Huajie Wang, Mei Li, Lei Chen
We pay close attention to the cross-domain context-dependent text-to-SQL generation task, which requires a model to depend on the interaction history and current utterance to generate SQL query.
no code implementations • COLING 2020 • Lei Chen, Zhongyu Wei, Jing Li, Baohua Zhou, Qi Zhang, Xuanjing Huang
Previous work for rumor resolution concentrates on exploiting time-series characteristics or modeling topology structure separately.
no code implementations • 29 Oct 2020 • Jun Li, Lei Chen, Jiajia Chen
Two-step aggregation is introduced to facilitate scalable federated learning (SFL) over passive optical networks (PONs).
Networking and Internet Architecture
1 code implementation • ICLR 2021 • Lei Chen, Zhengdao Chen, Joan Bruna
From the perspective of expressive power, this work compares multi-layer Graph Neural Networks (GNNs) with a simplified alternative that we call Graph-Augmented Multi-Layer Perceptrons (GA-MLPs), which first augments node features with certain multi-hop operators on the graph and then applies an MLP in a node-wise fashion.
1 code implementation • 24 Oct 2020 • Yongqi Zhang, Quanming Yao, Lei Chen
In this paper, motivated by the observation that negative triplets with large gradients are important but rare, we propose to directly keep track of them with the cache.
1 code implementation • 10 Oct 2020 • Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen
Finally, with the new edge sampler and random walk model abstraction, we carefully implement a scalable NRL framework called UniNet.
no code implementations • 7 Oct 2020 • Joseph Marino, Lei Chen, JiaWei He, Stephan Mandt
We propose an approach for improving sequence modeling based on autoregressive normalizing flows.
no code implementations • 10 Sep 2020 • Lei Chen, Qi Qian, Hao Li
The anchor-free strategy benefits the classification task but can lead to sup-optimum for the regression task due to the lack of prior bounding boxes.
no code implementations • ECCV 2020 • Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, QinGhua Hu
Although significant progress achieved, multi-label classification is still challenging due to the complexity of correlations among different labels.
no code implementations • 24 May 2020 • Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
The transfer network is designed to approximate the learned item embeddings from graph neural networks by taking each item's visual content as input, in order to tackle the new segment problem in the test phase.
no code implementations • 18 May 2020 • Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao
Recent end-to-end deep neural networks for disparity regression have achieved the state-of-the-art performance.
1 code implementation • 1 May 2020 • Brighter Agyemang, Wei-Ping Wu, Michael Yelpengne Kpiebaareh, Zhihua Lei, Ebenezer Nanor, Lei Chen
In this study, we propose a self-attention-based multi-view representation learning approach for modeling drug-target interactions.
no code implementations • 13 Apr 2020 • Yiqun Liu, Shouzhen Chen, Lei Chen, Hai Chu, Xiaoyang Xu, Junping Zhang, Leiming Ma
We thus propose an end-to-end deep-learning BCoP model named Spatio-Temporal feature Auto-Selective (STAS) model to select optimal ST regularity from EC via the ST Feature-selective Mechanisms (SFM/TFM).
no code implementations • 7 Apr 2020 • Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, XiaoHong Wang, JingChao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony Samir
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net).
no code implementations • 7 Apr 2020 • Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Lei Chen
The complementary graph regularizer investigates the specific information of multiple views.
1 code implementation • 25 Feb 2020 • Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng
This work proposes a novel approach for multiple time series forecasting.
1 code implementation • NeurIPS 2020 • Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
We also prove positive results for k-WL and k-IGNs as well as negative results for k-WL with a finite number of iterations.
2 code implementations • 28 Jan 2020 • Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang
Second, we propose a residual network structure that is specifically designed for CF with user-item interaction modeling, which alleviates the over smoothing problem in graph convolution aggregation operation with sparse user-item interaction data.
1 code implementation • 17 Jan 2020 • Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori
Then, we develop an efficient weight-transfer method to explain decisions for any image without back-propagation.
4 code implementations • NeurIPS 2020 • Yongqi Zhang, Quanming Yao, Lei Chen
In this work, based on the relational paths, which are composed of a sequence of triplets, we define the Interstellar as a recurrent neural architecture search problem for the short-term and long-term information along the paths.
1 code implementation • 13 Nov 2019 • Shunwang Gong, Lei Chen, Michael Bronstein, Stefanos Zafeiriou
Intrinsic graph convolution operators with differentiable kernel functions play a crucial role in analyzing 3D shape meshes.
1 code implementation • IJCNLP 2019 • Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang
Aspect-based sentiment analysis (ABSA) has attracted increasing attention recently due to its broad applications.
Ranked #3 on Aspect-Based Sentiment Analysis (ABSA) on MAMS
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 24 Oct 2019 • Jun Li, Xiaoman Shen, Lei Chen, Jiajia Chen
Bandwidth slicing is introduced to support federated learning in edge computing to assure low communication delay for training traffic.
no code implementations • 15 Oct 2019 • Xiaoyang Xu, Yiqun Liu, Hanqing Chao, Youcheng Luo, Hai Chu, Lei Chen, Junping Zhang, Leiming Ma
To the best of our knowledge, it is the first expert-free models for bias correction.
1 code implementation • CVPR 2020 • Qi Qian, Lei Chen, Hao Li, Rong Jin
This architecture is efficient but can suffer from the imbalance issue with respect to two aspects: the inter-class imbalance between the number of candidates from foreground and background classes and the intra-class imbalance in the hardness of background candidates, where only a few candidates are hard to be identified.
no code implementations • ICCV 2019 • Mengyao Zhai, Lei Chen, Fred Tung, JiaWei He, Megha Nawhal, Greg Mori
This makes it possible to perform image-conditioned generation tasks in a lifelong learning setting.
no code implementations • 18 Jul 2019 • Yuan Cao, Qiuying Li, Hongming Shan, Zhizhong Huang, Lei Chen, Leiming Ma, Junping Zhang
Precipitation nowcasting, which aims to precisely predict the short-term rainfall intensity of a local region, is gaining increasing attention in the artificial intelligence community.
no code implementations • 1 Jun 2019 • Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
We argue that the key challenge of this problem lies in discovering users' visual profiles for key frame recommendation, as most recommendation models would fail without any users' fine-grained image behavior.
1 code implementation • NeurIPS 2019 • Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
We further develop a framework of the expressive power of GNNs that incorporates both of these viewpoints using the language of sigma-algebra, through which we compare the expressive power of different types of GNNs together with other graph isomorphism tests.
Ranked #27 on Graph Regression on ZINC-500k
3 code implementations • 26 Apr 2019 • Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen
The algorithm is further sped up by a filter and a predictor, which can avoid repeatedly training SFs with same expressive ability and help removing bad candidates during the search before model training.
Ranked #2 on Link Prediction on FB15k
2 code implementations • 28 Mar 2019 • Junxin Chen, Lei Chen, Yicong Zhou
During the past decades, there is a great popularity employing nonlinear dynamics and permutation-substitution architecture for image encryption.
Multimedia
no code implementations • 15 Mar 2019 • Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang
To tackle the above two challenges, in this paper, we propose a unified quality-aware GAN-based framework for unpaired image-to-image translation, where a quality-aware loss is explicitly incorporated by comparing each source image and the reconstructed image at the domain level.
6 code implementations • 16 Dec 2018 • Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen
Negative sampling, which samples negative triplets from non-observed ones in the training data, is an important step in KG embedding.
Ranked #5 on Link Prediction on FB15k
no code implementations • 7 Dec 2018 • Chengsheng Mao, Bin Hu, Lei Chen, Philip Moore, Xiaowei Zhang
Additionally, based on the local distribution, we generate a generalized local classification form that can be effectively applied to various datasets through tuning the parameters.
no code implementations • 30 Oct 2018 • Mei Lin, Vanya Jaitly, Iris Wang, Zhihong Hu, Lei Chen, Md. Amer Wahed, Zeyad Kanaan, Adan Rios, Andy N. D. Nguyen
We explore how Deep Learning (DL) can be utilized to predict prognosis of acute myeloid leukemia (AML).
no code implementations • ECCV 2018 • Lei Chen, Jiwen Lu, Zhanjie Song, Jie zhou
In this paper, we propose a part-activated deep reinforcement learning (PA-DRL) for action prediction.
1 code implementation • 3 Jun 2018 • Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang
After that, we design a hierarchical attention network that naturally mirrors the hierarchical relationship (elements in each aspects level, and the aspect level) of users' latent interests with the identified key aspects.
no code implementations • 29 Dec 2017 • Christine A. Liang, Lei Chen, Amer Wahed, Andy N. D. Nguyen
The results of this study allow a novel approach to determine critical protein pathways in the FLT3-ITD mutation, and provide proof-of-concept for an accurate approach to model big data in cancer proteomics and genomics.
no code implementations • 5 Dec 2017 • Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori
An architecture combining a hierarchical temporal model for predicting human poses and encoder-decoder convolutional neural networks for rendering target appearances is proposed.
no code implementations • 25 Sep 2017 • Congcong Jin, Jihua Zhu, Yaochen Li, Shanmin Pang, Lei Chen, Jun Wang
Then, it proposes the weighted LRS decomposition, where each block element is assigned with one estimated weight to denote its reliability.
no code implementations • WS 2017 • Lei Chen, Chong MIn Lee
Public speakings play important roles in schools and work places and properly using humor contributes to effective presentations.
no code implementations • 16 May 2017 • Rui Meng, Hao Xin, Lei Chen, Yangqiu Song
In our work, we propose a system, called crowdsourced subjective knowledge acquisition (CoSKA), for subjective knowledge acquisition powered by crowdsourcing and existing KBs.
no code implementations • 8 Feb 2017 • Lei Chen, Chong MIn Lee
For the purpose of automatically evaluating speakers' humor usage, we build a presentation corpus containing humorous utterances based on TED talks.
no code implementations • WS 2016 • Chong Min Lee, Su-Youn Yoon, Lei Chen
Considering the importance of public speech skills, a system which makes a prediction on where audiences laugh in a talk can be helpful to a person who prepares for a talk.
no code implementations • 30 Jun 2016 • Zhong Ji, Yuzhong Xie, Yanwei Pang, Lei Chen, Zhongfei Zhang
Zero-shot learning (ZSL) extends the conventional image classification technique to a more challenging situation where the test image categories are not seen in the training samples.
no code implementations • LREC 2016 • Takakazu Imada, Yusuke Inoue, Lei Chen, Syunya Doi, Tian Nie, Chen Zhao, Takehito Utsuro, Yasuhide Kawada
We finally propose how to predict the market share of a specific product genre based on the rates of concerns of those who search for Web pages.
no code implementations • 12 Jun 2015 • Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori
This paper presents a deep neural-network-based hierarchical graphical model for individual and group activity recognition in surveillance scenes.
no code implementations • 4 Mar 2014 • Derrick Higgins, Chris Brew, Michael Heilman, Ramon Ziai, Lei Chen, Aoife Cahill, Michael Flor, Nitin Madnani, Joel Tetreault, Daniel Blanchard, Diane Napolitano, Chong MIn Lee, John Blackmore
Developments in the educational landscape have spurred greater interest in the problem of automatically scoring short answer questions.