Li, Dongsheng

106 publications

NeurIPS 2025 Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li

CVPR 2025 Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization Zhipeng Xu, De Cheng, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao

NeurIPS 2025 Chain-of-Model Learning for Language Model Xiaohua Wang, Kaitao Song, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu

ICLR 2025 DreamDistribution: Learning Prompt Distribution for Diverse In-Distribution Generation Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge

TMLR 2025 Graph Theory-Based Deep Graph Similarity Learning: A Unified Survey of Pipeline, Techniques, and Challenges Zhouyang Liu, Ning Liu, Yixin Chen, Ziqing Wen, Jiezhong He, Dongsheng Li

ICML 2025 Habitizing Diffusion Planning for Efficient and Effective Decision Making Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han

NeurIPS 2025 Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models Quntian Fang, Zhen Huang, Zhiliang Tian, Minghao Hu, Dongsheng Li, Yiping Yao, Xinyue Fang, Menglong Lu, Guotong Geng

ICLR 2025 How Do Large Language Models Understand Graph Patterns? a Benchmark for Graph Pattern Comprehension Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan

NeurIPS 2025 Learning to Instruct for Visual Instruction Tuning Zhihan Zhou, Feng Hong, Jiaan Luo, Yushi Ye, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang

ICML 2025 MMInference: Accelerating Pre-Filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu

ICLRW 2025 MMInference: Accelerating Pre-Filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu

CVPR 2025 Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li

ICLR 2025 NeuroLM: A Universal Multi-Task Foundation Model for Bridging the Gap Between Language and EEG Signals Weibang Jiang, Yansen Wang, Bao-liang Lu, Dongsheng Li

NeurIPS 2025 Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-Context, and Textual Annotation Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Wentao Gu, Guy-Bart Stan, Yiren Zhao, Caihua Shan

ICML 2025 Oracle-MoE: Locality-Preserving Routing in the Oracle Space for Memory-Constrained Large Language Model Inference Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang

ICLR 2025 SCBench: A KV Cache-Centric Analysis of Long-Context Methods Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu

ICLR 2025 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao

NeurIPS 2025 SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation Yimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li

NeurIPS 2025 Toward Relative Positional Encoding in Spiking Transformers Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

ICCV 2025 VisRL: Intention-Driven Visual Perception via Reinforced Reasoning Zhangquan Chen, Xufang Luo, Dongsheng Li

ICLR 2025 What Makes a Good Diffusion Planner for Decision Making? Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li

AAAI 2025 Zero-Resource Hallucination Detection for Text Generation via Graph-Based Contextual Knowledge Triples Modeling Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dongsheng Li

ICLR 2025 pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation Shentong Mo, Xufang Luo, Dongsheng Li

ICLR 2024 Addressing Signal Delay in Deep Reinforcement Learning Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li

NeurIPS 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

AAAI 2024 Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li

ICLR 2024 CNN Kernels Can Be the Best Shapelets Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li

NeurIPS 2024 Can Graph Learning Improve Planning in LLM-Based Agents? Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li

CVPR 2024 Disentangled Prompt Representation for Domain Generalization De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao

ICLRW 2024 EASYTOOL: Enhancing LLM-Based Agents with Concise Tool Instruction Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang

NeurIPS 2024 EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng

ICML 2024 Efficient and Effective Time-Series Forecasting with Spiking Neural Networks Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li

NeurIPSW 2024 EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang

IJCAI 2024 Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1 Xiaoge Deng, Tao Sun, Dongsheng Li, Xicheng Lu

IJCAI 2024 LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li

AAAI 2024 Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao

NeurIPS 2024 MInference 1.0: Accelerating Pre-Filling for Long-Context LLMs via Dynamic Sparse Attention Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu

ICMLW 2024 MInference: Accelerating Pre-Filling for Long-Context LLMs via Dynamic Sparse Attention Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu

ICMLW 2024 Mitigate Position Bias in Large Language Models via Scaling a Single Dimension Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu

NeurIPS 2024 Once Read Is Enough: Domain-Specific Pretraining-Free Language Models with Cluster-Guided Sparse Experts for Long-Tail Domain Knowledge Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang

ECCV 2024 Online Video Quality Enhancement with Spatial-Temporal Look-up Tables Zefan Qu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Cairong Zhao

NeurIPS 2024 Perception of Knowledge Boundary for Large Language Models Through Semi-Open-Ended Question Answering Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li

NeurIPSW 2024 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao

NeurIPS 2024 Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li, Xicheng Lu

NeurIPS 2024 TaskBench: Benchmarking Large Language Models for Task Automation Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang

ICLRW 2024 TaskBench: Benchmarking Large Language Models for Task Automation Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang

NeurIPS 2024 Towards Editing Time Series Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren

ICLR 2024 Training-Free Multi-Objective Diffusion Model for 3D Molecule Generation Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li

NeurIPS 2024 Understanding and Improving Training-Free Loss-Based Diffusion Guidance Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li

ECCV 2024 Unified Medical Image Pre-Training in Language-Guided Common Semantic Space Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu

IJCAI 2023 A Canonicalization-Enhanced Known Fact-Aware Framework for Open Knowledge Graph Link Prediction Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu

AAAI 2023 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang

ICML 2023 CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li

NeurIPS 2023 ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li

ICLR 2023 Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer Eric Qu, Xufang Luo, Dongsheng Li

ICLR 2023 EA-HAS-Bench: Energy-Aware Hyperparameter and Architecture Search Benchmark Shuguang Dou, Xinyang Jiang, Cai Rong Zhao, Dongsheng Li

ICLR 2023 Explaining Temporal Graph Models Through an Explorer-Navigator Framework Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li

NeurIPS 2023 HuggingGPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang

AAAI 2023 Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li

NeurIPS 2023 Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li

IJCAI 2023 Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li

ICML 2023 Momentum Ensures Convergence of SIGNSGD Under Weaker Assumptions Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang

ICLR 2023 Over-Parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang

TMLR 2023 Pairwise Learning with Adaptive Online Gradient Descent Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang

CVPR 2023 Rotation-Invariant Transformer for Point Cloud Matching Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic

ICLR 2023 SIMPLE: Specialized Model-Sample Matching for Domain Generalization Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li

AAAI 2023 Similarity Distribution Based Membership Inference Attack on Person Re-Identification Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao

AAAI 2023 Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li

NeurIPSW 2023 Toward Open-Ended Embodied Tasks Solving Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li

AAAI 2023 Towards Inference Efficient Deep Ensemble Learning Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li

NeurIPS 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang

ICML 2022 Adaptive Random Walk Gradient Descent for Decentralized Optimization Tao Sun, Dongsheng Li, Bao Wang

NeurIPS 2022 Bootstrapped Transformer for Offline Reinforcement Learning Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li

ICML 2022 Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian

NeurIPS 2022 Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks Tao Sun, Dongsheng Li, Bao Wang

AAAI 2022 Invariant Information Bottleneck for Domain Generalization Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

IJCAI 2022 Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-Encoder Structure Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li

AAAI 2022 Neural Piecewise-Constant Delay Differential Equations Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin

NeurIPS 2022 Parameter-Free Dynamic Graph Embedding for Link Prediction Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

ICLR 2022 Recursive Disentanglement Network Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert P. Dick, Qin Lv, Fan Yang, Li Shang

NeurIPS 2022 Reinforcement Learning with Automated Auxiliary Loss Search Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li

CVPR 2022 RendNet: Unified 2D/3D Recognizer with Latent Space Rendering Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li

IJCAI 2022 Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li

NeurIPS 2022 Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li

NeurIPS 2022 VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning Che Wang, Xufang Luo, Keith Ross, Dongsheng Li

ICLR 2022 Variational Oracle Guiding for Reinforcement Learning Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li

ICCV 2021 Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

CVPR 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao

NeurIPS 2021 Recognizing Vector Graphics Without Rasterization Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li

NeurIPS 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li

AAAI 2021 Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang

AAAI 2021 Stability and Generalization of Decentralized Stochastic Gradient Descent Tao Sun, Dongsheng Li, Bao Wang

ECML-PKDD 2020 ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach Yu Tang, Zhigang Kan, Dequan Sun, Linbo Qiao, Jingjing Xiao, Zhiquan Lai, Dongsheng Li

ACML 2020 NENN: Incorporate Node and Edge Features in Graph Neural Networks Yulei Yang, Dongsheng Li

CVPRW 2020 Rethinking Segmentation Guidance for Weakly Supervised Object Detection Ke Yang, Peng Zhang, Peng Qiao, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Dongsheng Li, Yong Dou

NeurIPS 2019 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results Under General Scheme Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao

ICCVW 2019 Geometry Guided Feature Aggregation in Video Face Recognition Baoyun Peng, Xiao Jin, Yichao Wu, Dongsheng Li

IJCAI 2019 Heavy-Ball Algorithms Always Escape Saddle Points Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou

AAAI 2019 Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang

AAAI 2019 Read + Verify: Machine Reading Comprehension with Unanswerable Questions Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li

AAAI 2018 Exploring Temporal Preservation Networks for Precise Temporal Action Localization Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou

AAAI 2017 ERMMA: Expected Risk Minimization for Matrix Approximation-Based Recommender Systems Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha

AAAI 2017 GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

NeurIPS 2017 Mixture-Rank Matrix Approximation for Collaborative Filtering Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen Chu

ICML 2016 Low-Rank Matrix Approximation with Stability Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen Chu

IJCAI 2016 MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang