Li, Jing

88 publications

AAAI 2025 BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection Xuan Luo, Li Yang, Han Zhang, Geng Tu, Qianlong Wang, Keyang Ding, Chuang Fan, Jing Li, Ruifeng Xu

CVPRW 2025 CDVS: Compressed Domain on Device Memory Efficient 8k Video SlowMo Jing Li, Chengyu Wang, Hamid R. Sheikh, Seok-Jun Lee

CVPRW 2025 Compressed Domain Multiframe Processing Chengyu Wang, Jing Li, Saurabh Kumar, Seok-Jun Lee, Hamid R. Sheikh

CVPR 2025 DTGBrepGen: A Novel B-Rep Generative Model Through Decoupling Topology and Geometry Jing Li, Yihang Fu, Falai Chen

NeurIPS 2025 Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation Hanzhuo Tan, Xiaolong Tian, Hanrui Qi, Jiaming Liu, Siyi Wang, Gao Zuchen, Qi Luo, Jing Li, Yuqun Zhang

ICLR 2025 ESE: Espresso Sentence Embeddings Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing Li

ICML 2025 Few-Shot Learner Generalizes Across AI-Generated Image Detection Shiyu Wu, Jing Liu, Jing Li, Yequan Wang

ICML 2025 Function-to-Style Guidance of LLMs for Code Translation Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang

AAAI 2025 Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang

NeurIPS 2025 Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization Chenrui Wang, Junyi Shu, Billy Chiu, Yu Li, Saleh Alharbi, Min Zhang, Jing Li

NeurIPS 2025 Mesh-RFT: Enhancing Mesh Generation via Fine-Grained Reinforcement Fine-Tuning Jian Liu, Jing Xu, Song Guo, Jing Li, Guojingfeng, Jiaao Yu, Haohan Weng, Biwen Lei, Xianghui Yang, Zhuo Chen, Fangqi Zhu, Tao Han, Chunchao Guo

NeurIPS 2025 NeurIPT: Foundation Model for Neural Interfaces Zitao Fang, Chenxuan Li, Zhou Hongting, Shuyang Yu, Guodong Du, Ashwaq Qasem, Yang Lu, Jing Li, Junsong Zhang, Sim Kuan Goh

NeurIPS 2025 Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning Zhe Hu, Jing Li, Zhongzhu Pu, Hou Pong Chan, Yu Yin

ICLRW 2025 Reasoning3D - Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models Tianrun Chen, Chunan Yu, Jing Li, Jianqi Zhang, Lanyun Zhu, Deyi Ji, Yong Zhang, Ying Zang, Lingyun Sun, Zejian Li

NeurIPS 2025 Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning Yihong Tang, Kehai Chen, Muyun Yang, Zheng-Yu Niu, Jing Li, Tiejun Zhao, Min Zhang

NeurIPS 2025 UMoE: Unifying Attention and FFN with Shared Experts Yuanhang Yang, Chaozheng Wang, Jing Li

MLJ 2025 Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation Ponhvoan Srey, Yaxin Shi, Hangwei Qian, Jing Li, Ivor W. Tsang

ICML 2025 Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li

CVPRW 2024 AdvDenoise: Fast Generation Framework of Universal and Robust Adversarial Patches Using Denoise Jing Li, Zigan Wang, Jinliang Li

NeurIPS 2024 Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Zhe Hu, Tuo Liang, Jing Li, Yiren Lu, Yunlai Zhou, Yiran Qiao, Jing Ma, Yu Yin

NeurIPSW 2024 Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data Sophia M Rein, Jing Li, Miguel Hernan, Andrew Beam

ECCVW 2024 DreamTexture: High-Fidelity Synthetic 3D Data Generation Through Decoupled Geometry and Texture Synthesis Jing Li, Yawei Luo, Ying Li, Xueying Li, Xiaoxue Li, Yuwen Hao, Lijun Wang, Zhengping Li

ICML 2024 Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou

IJCAI 2024 Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs Shengming Wang, Xiaocai Zhang, Jing Li, Xiaoyang Wei, Hoong Chuin Lau, Bing Tian Dai, Binbin Huang, Zhe Xiao, Xiuju Fu, Zheng Qin

AAAI 2024 Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation Jing Li, Junsong Fan, Yuran Yang, Shuqi Mei, Jun Xiao, Zhaoxiang Zhang

ECCV 2024 GRAPE: Generalizable and Robust Multi-View Facial Capture Jing Li, Di Kang, Zhenyu He

JMLR 2024 Generative Adversarial Ranking Nets Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

ICML 2024 LaMAGIC: Language-Model-Based Topology Generation for Analog Integrated Circuits Chen-Chia Chang, Yikang Shen, Shaoze Fan, Jing Li, Shun Zhang, Ningyuan Cao, Yiran Chen, Xin Zhang

IJCAI 2024 LocMoE: A Low-Overhead MoE for Large Language Model Training Jing Li, Zhijie Sun, Xuan He, Li Zeng, Yi Lin, Entong Li, Binfan Zheng, Rongqian Zhao, Xin Chen

ICLR 2024 Masked Structural Growth for 2x Faster Language Model Pre-Training Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang

ECCV 2024 MeshSegmenter: Zero-Shot Mesh Segmentation via Texture Synthesis Ziming Zhong, Yanyu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, Shenghua Gao

CVPRW 2024 Mobile Aware Denoiser Network (MADNet) for Quad Bayer Images Pavan C. Madhusudana, Jing Li, Zeeshan Nadir, Hamid R. Sheikh, Seok-Jun Lee

MLJ 2024 PROUD: PaRetO-gUided Diffusion Model for Multi-Objective Generation Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

NeurIPS 2024 Parameter Competition Balancing for Model Merging Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang

ECCV 2024 Point-Supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance Jing Li, Junsong Fan, Zhaoxiang Zhang

MLJ 2024 Sanitized Clustering Against Confounding Bias Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao

NeurIPSW 2024 Self-Efficacy Update in Reinforcement Learning: Impact on Goal Selection for Q-Learning Agents Jing Li, Angela Radulescu

WACV 2024 TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding Shuo Wang, Jing Li, Zibo Zhao, Dongze Lian, Binbin Huang, Xiaomei Wang, Zhengxin Li, Shenghua Gao

AAAI 2024 Tensorized Label Learning on Anchor Graph Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia

NeurIPS 2024 Towards Harmless Rawlsian Fairness Regardless of Demographic Prior Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong

CVPRW 2024 UDAC: Under-Display Array Cameras Chengyu Wang, Jing Li, Pavan C. Madhusudanarao, Jinhan Hu, Jitesh K. Singh, WooJhon Choi, Seok-Jun Lee, Hamid R. Sheikh

ICLR 2023 Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji

IJCAI 2023 Cross-Domain Facial Expression Recognition via Disentangling Identity Representation Tong Liu, Jing Li, Jia Wu, Lefei Zhang, Shanshan Zhao, Jun Chang, Jun Wan

AAAI 2023 GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han

ICLR 2023 Learning Domain-Agnostic Representation for Disease Diagnosis Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

CVPR 2023 M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis Hiuyi Cheng, Peirong Zhang, Sihang Wu, Jiaxin Zhang, Qiyuan Zhu, Zecheng Xie, Jing Li, Kai Ding, Lianwen Jin

NeurIPS 2023 Orthogonal Non-Negative Tensor Factorization Based Multi-View Clustering Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia

AAAI 2023 SafeLight: A Reinforcement Learning Method Toward Collision-Free Traffic Signal Control Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang

ECCV 2022 A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

IJCAI 2022 A Survey of Machine Narrative Reading Comprehension Assessments Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu

IJCAI 2022 FOGS: First-Order Gradient Supervision with Learning-Based Graph for Traffic Flow Forecasting Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han

IJCAI 2022 Interactive Information Extraction by Semantic Information Graph Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han

ICML 2022 Rethinking Attention-Model Explainability Through Faithfulness Violation Test Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang

CVPR 2022 Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation Jing Li, Junsong Fan, Zhaoxiang Zhang

ICCV 2021 Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao

CVPR 2021 Causal Hidden Markov Model for Time Series Disease Forecasting Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang

ICCV 2021 Crowd Counting with Partial Annotations in an Image Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao

CVPR 2021 Forecasting Irreversible Disease via Progression Learning Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shi-Ming Li, Yizhou Wang

AAAI 2020 A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet

IJCAI 2020 Contextualized Point-of-Interest Recommendation Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang

ECCVW 2020 Enhanced Adaptive Dense Connection Single Image Super-Resolution Tangxin Xie, Jing Li, Yi Shen, Yu Jia, Jialiang Zhang, Bing Zeng

AAAI 2020 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu

ICLR 2020 Large Batch Optimization for Deep Learning: Training BERT in 76 Minutes Yang You, Jing Li, Sashank Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh

IJCAI 2020 Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network Huiyuan Chen, Jing Li

IJCAI 2020 Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems Huiyuan Chen, Jing Li

AAAI 2020 Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks Lisi Chen, Shuo Shang, Bin Yao, Jing Li

AAAI 2020 Pose-Assisted Multi-Camera Collaboration for Active Object Tracking Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang

ECCV 2020 Structured3D: A Large Photo-Realistic Dataset for Structured 3D Modeling Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou

IJCAI 2019 Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks Jing Li, Deheng Ye, Shuo Shang

IJCAI 2019 Neural Discourse Segmentation Jing Li

AAAI 2019 Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features Dongliang Liao, Jin Xu, Gongfu Li, Weijie Huang, Weiqing Liu, Jing Li

AAAI 2019 RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

ICLR 2018 Adaptive Quantization of Neural Networks Soroosh Khoram, Jing Li

NeurIPS 2018 Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation Jing Li, Rafal Mantiuk, Junle Wang, Suiyi Ling, Patrick Le Callet

IJCAI 2018 Joint Learning Embeddings for Chinese Words and Their Components via Ladder Structured Networks Yan Song, Shuming Shi, Jing Li

IJCAI 2018 Predicting Activity and Location with Multi-Task Context Aware Recurrent Neural Network Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang

IJCAI 2018 SegBot: A Generic Neural Text Segmentation Model with Pointer Network Jing Li, Aixin Sun, Shafiq R. Joty

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He

ECCVW 2018 VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

IJCAI 2017 Self-Weighted Multiview Clustering with Multiple Graphs Feiping Nie, Jing Li, Xuelong Li

ACML 2016 Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model Xianghua Fu, Ting Wang, Jing Li, Chong Yu, Wangwang Liu

IJCAI 2016 Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification Feiping Nie, Jing Li, Xuelong Li

ECCV 2014 All-in-Focus Synthetic Aperture Imaging Tao Yang, Yanning Zhang, Jingyi Yu, Jing Li, Wenguang Ma, Xiaomin Tong, Rui Yu, Lingyan Ran

CVPR 2014 Similarity-Aware Patchwork Assembly for Depth Image Super-Resolution Jing Li, Zhichao Lu, Gang Zeng, Rui Gan, Hongbin Zha

NeurIPS 2011 Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data Using Sparse Composite Linear Discrimination Analysis Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman

NeurIPS 2009 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye

CVPR 2005 Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes Tao Yang, Stan Z. Li, Quan Pan, Jing Li