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学者动态

同步于 2026-10-31 00:17 UTC · 监控 62 位学者

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🔥 本周动态 4

博客吴太强香港大学Reasoning
The Art of Efficient Reasoning: Data, Reward, and Optimization Taiqiang Wu · EMNLP 2026, Main Conference[ Blog ] ↗
▸ 近期发表成果 / 论文收起成果列表3 项
博客Nathan LambertInterconnectsRLAlignment
Was I wrong about open models & cyber risks ↗
▸ 近期技术博文收起成果列表9 项

⚡️ 本月动态 6

动态孙海龙南京大学 (LAMDA)Continual LearningMultimodal
We introduce Ling-3.1-flash-1019 , scoring 44 on the Artificial Analysis Intelligence Index, up from 41 and on par with Kimi-K3 . We also open-source Ling-3.0-flash-Sante for healthcare ↗
▸ 更多近期动态收起成果列表9 项
论文Chengsong HuangWashington University in St. LouisLLMReasoning
ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction Agents · arXiv 2610.13395 ↗
▸ 近期发表成果 / 论文收起成果列表9 项
论文周旭辉 (Xuhui Zhou)CMURLCHI
Meta Superintelligence TBD Lab team model release · 个人主页 ↗
▸ 近期发表成果 / 论文收起成果列表7 项
博客傅宇千自动化所DistillationRL
Playing to the Grader: Early Stopping and Low-Quality Delivery in Frontier Coding Agents ↗
▸ 近期技术博文收起成果列表7 项
📜 更早历史动态 (点击展开剩余 52 条) 52
论文王立远清华大学Continual Learning
Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization · IEEE TPAMI 2026 ↗
▸ 近期发表成果 / 论文收起成果列表7 项
论文Hao Zhu (朱昊)ANU / CSIROContinual Learning
CrossSpectra: exploiting cross-layer smoothness for parameter-efficient fine-tuning · NeurIPS 2026 个人主页 ↗
▸ 近期发表成果 / 论文收起成果列表6 项
论文张逸飞 (Yifei Zhang)港中文Continual Learning
Machine unlearning via task simplex arithmetic · NeurIPS 2026 个人主页 ↗
▸ 近期发表成果 / 论文收起成果列表9 项
论文周大蔚南京大学 (LAMDA)Continual LearningMultimodal
Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning · NeurIPS 2026 ↗
▸ 近期发表成果 / 论文收起成果列表8 项
博客刘子铭 (Ziming Liu)清华大学LLM
Six Bets on Auto-Research ↗
▸ 近期技术博文收起成果列表8 项
论文杨永进多伦多大学AgentAlignment
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning NeurIPS 2026 ↗
▸ 近期发表成果 / 论文收起成果列表4 项
论文董功东南大学Continual Learning
MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LLM Reasoning · NeurIPS 2026 ↗
▸ 近期发表成果 / 论文收起成果列表4 项
论文朱星宇NUSVLM
Thinking with Images as Continuous Actions: Numerical Visual Chain-of-Thought · NeurIPS 2026 Oral ↗
▸ 近期发表成果 / 论文收起成果列表9 项
更新黄家斌马里兰大学 (UMD)3DV
Capital One endowed Associate Professor ↗
▸ 近期发表成果 / 论文收起成果列表9 项
论文Zixuan Li计算所NLP
Event Ontology Expansion via LLM-Based Conceptualization · arXiv 2026 ↗
▸ 近期发表成果 / 论文收起成果列表3 项
论文Shuaichen ChangAWSAgent
R-WoM: Retrieval-augmented World Model For Computer-use Agents · ICLR 2026 ↗
▸ 近期发表成果 / 论文收起成果列表3 项
论文杨恩能中山大学Model Merging
Data Augmentation for Sequential Recommendation: A Survey · TKDE 2026 个人主页 ↗
▸ 近期发表成果 / 论文收起成果列表9 项
论文庄辉平华南理工大学Continual LearningEmbodied AI
Beyond Codebook Uniformity: Triplet-Level Metrics and Triplet-Driven Semantic IDs for Generative Retrieval · EMNLP 2026 Main Conference ↗
▸ 近期发表成果 / 论文收起成果列表6 项
论文孙科宾夕法尼亚大学RLReasoning
CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning ↗
▸ 近期发表成果 / 论文收起成果列表3 项
博客林知秋CMUMultimodalVideo
CVPR 2026 Highlight (Top 3%) CHAI: Building a Precise Video Language with Human-AI Oversight (CVPR’26 Highlight, Top 3%) Zhiqiu Lin , Chancharik Mitra , Siyuan Cen , Isaac Li , Yuhan Huang , Yu Tong Tiffany Ling , Hewei Wang , Irene Pi , Shihang Zhu , Ryan Rao , George Liu , Jiaxi Li , Ruojin Li , Yili Han , Yilun Du , Deva Ramanan Website | Arxiv Before AI can generate professional videos, it needs to see like a professional. We spent a year with 100+ content creators building the shared language of cinema for AI. A structured video specification grounded by 200+ visual primitives across subjects, scenes, motion, spatial framing, and camera dynamics. Critique-based Human-AI oversight (CHAI) : AI drafts fluent captions, humans critique visual errors — each doing what they’re best at. Post-training on CHAI triplets lets our 8B Qwen3-VL surpass GPT-5 and Gemini-3.1-Pro on captioning, reward modeling, and critique generation. Unlocks professional-grade video generation — fine-tuned Wan follows 400-word cinematic prompts for dolly zooms, rack focus, speed ramps, Dutch angles, and more ↗
▸ 近期技术博文收起成果列表1 项
论文张天远MIT3DV
Generating a re-illuminated reconstruction of an object · US Patent App. 19/041,371, 2026 ↗
▸ 近期发表成果 / 论文收起成果列表4 项
论文Yixuan TangHKUSTLLMFinance
FLARE: Task-Agnostic Embedding Model Evaluation via Normalizing Flows · ACL 2026 ↗
▸ 近期发表成果 / 论文收起成果列表9 项
博客沈立中山大学Model Merging
Selected Conference · ICLR, 2026. ( oral ) Wei Ju, Siyu Yi, Kangjie Zheng, Yifan Wang, Ziyue Qiao, Li Shen , Yongdao Zhou, Xiaochun Cao, Jiancheng Lv, Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering, ICLR, 2026. ( oral ) Yongxian Wei, Runxi Cheng, Weike Jin, Enneng Yang, Li Shen , Lu Hou, SiNan Du, Chun Yuan, Xiaochun Cao, Dacheng Tao, OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging , ICLR, 2026. Mingda Zhang, Mingli Zhu, Zihao Zhu, Li Shen , Baoyuan Wu, Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization , ICLR, 2026. Ziqing Fan, Yuqiao Xian, Yan Sun, Ke Shen, Li Shen , Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning , ICLR, 2026. Guinan Su, Li Shen , Lu Yin, Shiwei Liu, Yanwu Yang, Jonas Geiping, GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching , ICLR, 2026. Guodong Zheng, Peng Wang, Shengchao Hu, Quan Zheng, Li Shen , Understanding the Dynamics of Forgetting and Generalization in Continual Learning via the Neural Tangent Kernel , ICLR, 2026. Yang Dai, Oubo Ma, Xingxing Liang, Longfei Zhang, Xiaochun Cao, Shouling Ji, Jiaheng Zhang, Jincai Huang, Li Shen , TrojanTO: Action-Level Backdoor Attacks Against Trajectory Optimization Models , ICLR, 2026. Shengchao Hu, Peng Wang, Guozheng Ma, Shi Fu, Li Shen , Ya Zhang, Dacheng Tao, The State of Reinforcement Finetuning for Transformer-based Agents , ICLR, 2026. Yan Sun, Qixin Zhang, Li Shen , Dacheng Tao, Convergent Differential Privacy Analysis for General Federated Learning , ICLR, 2026. Yan Sun, Qixin Zhang, Zhiyuan Yu, Xikun Zhang, Li Shen , Dacheng Tao, MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs , ICLR, 2026. Enneng Yang, Qun Yang, Peng Wang, Anke Tang, Guibing Guo, Xiaochun Cao, Li Shen , MergOPT: A Merge-Aware Optimizer for Robust Model Merging, ICLR, 2026. Yingsha Xie, Rui Min, Zeyu Qin, Fei Ma, Li Shen , Fei Yu, Xiaochun Cao, RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models , NeurIPS, 2025. Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen , Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization , NeurIPS, 2025. Hongling Zheng, Li Shen , Yong Luo, Deheng Ye, Shuhan Xu, Bo Du, Jialie Shen, Dacheng Tao, Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings , NeurIPS, 2025. Di He, Songjun Tu, Ajay Jaiswal, Li Shen , Ganzhao Yuan, Shiwei Liu, Lu Yin, AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs , NeurIPS, 2025. Chao Huang, Benfeng Wang, Wei Wang, Jie Wen, Chengliang Liu, Li Shen , Xiaochun Cao, Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought , NeurIPS, 2025. Fei Wang, Li Shen , Liang Ding, Chao Xue, Ye Liu, Changxing Ding, Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation , NeurIPS, 2025. Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen , Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, JUN ZHOU, Fei Wu, Kun Kuang, Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging , NeurIPS, 2025. Yibo Wang, Tiansheng Huang, Li Shen , Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao, Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation , NeurIPS, 2025. Ao Zhou, Jiayi Guan, Li Shen , Fan Lu, Sanqing Qu, Junqiao Zhao, Ziqiao Wang, Ya Wu, Guang Chen, CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning , NeurIPS, 2025. Shi Fu, Yingjie Wang, Yuzhu Chen, Li Shen , Dacheng Tao, Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training , NeurIPS, 2025. Anke Tang, Enneng Yang, Li Shen , Yong Luo, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao, Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging , NeurIPS, 2025. Qinglun Li, Yingqi Liu, Miao Zhang, Xiaochun Cao, Quanjun Yin, Li Shen , Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training , NeurIPS, 2025. ( spotlight ) Zhiwei Hao, Zhongyu Xiao, Jianyuan Guo, Li Shen , Yong Luo, Han Hu, Dan Zeng, MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation , NeurIPS, 2025. Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Li Shen , Puning Zhao, Jie Xu, Han Hu, Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients , NeurIPS, 2025. Enneng Yang, Anke Tang, Li Shen , Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity , NeurIPS, 2025. Qixin Zhang, Yan Sun, Can Jin, Xikun ZHANG, Yao Shu, Puning Zhao, Li Shen , Dacheng Tao, Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives , NeurIPS, 2025. Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen , Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao, Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning , NeurIPS, 2025. Jifeng Hu, Sili Huang, Li Shen , Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao, Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces , NeurIPS, 2025. Fanhu Zeng, Haiyang Guo, Fei Zhu, Li Shen , Hao Tang, RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness , NeurIPS, 2025. ( spotlight ) Huanjin Yao, Qixiang Yin, Jingyi Zhang, Min Yang, Yibo Wang, Wenhao Wu, Fei Su, Li Shen , Minghui Qiu, Dacheng Tao, Jiaxing Huang, R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO , NeurIPS, 2025. Zixuan Hu, Li Shen , Zhenyi Wang, Yongxian Wei, Dacheng Tao, Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler , NeurIPS, 2025. ( spotlight ) Longxiang He, Deheng Ye, Junbo Tan, Xueqian Wang, Li Shen , Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption , NeurIPS, 2025. Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, YuXin Song, Haocheng Feng, Li Shen, Dacheng Tao, Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search, NeurIPS, 2025. ( spotlight ) Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen , Qixin Zhang, Zong Ke, Tianhang Zheng, Contextual bandits for unbounded context distributions, ICML, 2025. Hongling Zheng, Li Shen , Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao, Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making , ICML, 2025. Li Shen , Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao, Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision , ICML, 2025. Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen , Dacheng Tao, Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints , ICML, 2025. Haoyu Wang, Zeyu Qin, Li Shen , Xueqian Wang, Dacheng Tao, Minhao Cheng, Safety Reasoning with Guidelines , ICML, 2025. Guozheng Ma, Lu Li, Zilin Wang, Li Shen , Pierre-Luc Bacon, Dacheng Tao, Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning , ICML, 2025. ( oral ) Liang Chen, Xueting Han, Li Shen , Jing Bai, Kam-Fai Wong, Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning , ICML, 2025. Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen , Xueqian Wang, Dacheng Tao, Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer, ICML, 2025. Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen , Yong Luo, Bo Du, Dacheng Tao, Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG , ICML, 2025. ( oral ) Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen , Zheng Cao, Shiwei Liu, Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More , ICML, 2025. Yongxian Wei, Anke Tang, Li Shen , Chun Yuan, Xiaochun Cao, Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent , ICML, 2025. Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen , Jingcai Guo, GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation, IC ML , 2025. Yingqi Liu, Qinglun Li, Jie Tan, Yifan Shi, Li Shen , Xiaochun Cao, Understanding the Stability-based Generalization of Personalized Federated Learning , ICLR, 2025. Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen , Fei Wu, Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace , ICLR, 2025. Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen , Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li, Enhancing Learning with Label Differential Privacy by Vector Approximation , ICLR, 2025.  ( s potlight ) Liang Chen, Li Shen , Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong, PEARL: Towards Permutation-Resilient LLMs, ICLR, 2025. Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen , Ya Zhang, Dacheng Tao, Yanfeng Wang, Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection , ICLR, 2025. ( oral ) Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen , Dacheng Tao, Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency , ICLR, 2025.  ( s potlight ) Siyu Luan, Zhenyi Wang, Li Shen , Zonghua Gu, Chao Wu, Dacheng Tao, Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense, ICLR, 2025. Yongxian Wei, Zixuan Hu, Li Shen , Zhenyi Wang, Chun Yuan, Dacheng Tao, Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation, ICLR, 2025. ( oral ) Yan Sun, Li Shen , Dacheng Tao, A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Need, NeurIPS, 2024. ( spotlight ) Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen , Minhao Cheng, Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense , NeurIPS, 2024. ( spotlight ) Hongling Zheng, Li Shen , Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao, Multi-Task Prompt Decision Transformer for Efficient Unseen Task Generalization, NeurIPS, 2024. Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen , Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?, NeurIPS, 2024. Puning Zhao, Lifeng Lai, Li Shen , Qingming Li, Jiafei Wu, Zhe Liu, A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy, NeurIPS, 2024. Peng Wang, Li Shen , Zerui Tao, Shuaida He, Dacheng Tao, Generalization Analysis of Stochastic Weight Averaging with General Sampling, ICML, 2024. Anke Tang, Li Shen , Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao, Merging Multi-Task Models via Weight-Ensembling Mixture of Experts, ICML, 2024. Enneng Yang, Li Shen , Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao, Representation Surgery for Multi-Task Model Merging, ICML, 2024. Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen , Ya Zhang, Yanfeng Wang, Dacheng Tao, Q-learning Transformer for Offline Reinforcement Learning, ICML, 2024. Shengchao Hu, Ziqing Fan, Li Shen , Ya Zhang, Yanfeng Wang, Dacheng Tao, HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning, ICML, 2024. Zixuan Hu, Yongxian Wei, Li Shen , Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao, Sparse Model Inversion: Efficient Inversion of Vision Transformers with Less Hallucination, ICML, 2024. Yongxian Wei, Zixuan Hu, Li Shen , Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao, Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models, ICML, 2024. Enneng Yang, Zhenyi Wang, Li Shen , Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao, AdaMerging: Adaptive Model Merging for Multi-Task Learning, ICLR, 2024. Anke Tang, Li Shen , Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao, Parameter-Efficient Multi-Task Model Fusion with Partial Linearization , ICLR, 2024. Shengchao Hu, Li Shen , Ya Zhang, Dacheng Tao, Learning Multi-Agent Communication from Graph Modeling Perspective , ICLR, 2024. Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen , Xueqian Wang, Dacheng Tao, Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages , ICLR, 2024. Zhenyi Wang, Yan Li, Li Shen , Heng Huang, A Unified and General Framework for Continual Learning , ICLR, 2024. Ziming Hong, Zhenyi Wang, Li Shen , Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu, Improving Non-Transferable Representation Learning by Harnessing Content and Style , ICLR, 2024. ( spotlight ) Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen , Huan Xiong, Bin Gu, Xiao Luo, DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption , ICLR, 2024. Yan Sun, Li Shen , Dacheng Tao, Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization , NeurIPS, 2023. Miaoxi Zhu, Li Shen , Bo Du, Dacheng Tao, Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm , NeurIPS, 2023. Zhenyi Wang, Li Shen , Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David Doermann, Mingchen Gao, Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training, NeurIPS, 2023. Enneng Yang, Li Shen , Zhenyi Wang, Tongliang Liu, Guibing Guo, An Efficient Dataset Condensation Plugin and Its Application to Continual Learning , NeurIPS, 2023. Zhuo Huang, Li Shen , Jun Yu, Bo Han, Tongliang Liu, FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning, NeurIPS, 2023. Xuming An, Li Shen , Han Hu, Yong Luo, Federated Learning with Manifold Regularization and Normalized Update Reaggregation , NeurIPS, 2023. Rui Min, Zeyu Qin, Li Shen , Minhao Cheng, Stable Backdoor Purification with Feature Shift Tuning , NeurIPS, 2023. Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen , Xueqian Wang, Dacheng Tao, Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning , NeurIPS, 2023. Lu Yin, Gen Li, Meng Fang, Li Shen , Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu, Dynamic Sparsity Is Channel-Level Sparsity Learner, NeurIPS, 2023. Yan Sun, Li Shen , Shixiang Chen, Liang Ding, Dacheng Tao, Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape, ICML, 2023. ( oral ) Zixuan Hu, Li Shen , Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao, Learning to Learn from APIs: Black-box Data-free Meta-Learning, ICML, 2023. Yifan Shi, Li Shen , Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao, Improving the Model Consistency of Decentralized Federated Learning, ICML, 2023. Nan Yin, Li Shen , Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo, CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification, ICML, 2023. Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen , Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu, Are Large Kernels Better Teachers than Transformers for ConvNets?, ICML, 2023. Yan Sun, Li Shen , Tiansheng Huang, Liang Ding, Dacheng Tao, FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy, ICLR, 2023. Runzhong Wang, Li Shen , Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan, Relaxed Combinatorial Optimization Networks with Self-Supervision: Theoretical and Empirical Notes on the Cardinality-Constrained Case, ICLR, 2023. Zhuo Huang, Xiaobo Xia, Li Shen , Bo Han, Mingming Gong, Chen Gong, Tongliang Liu, Harnessing Out-Of-Distribution Examples via Augmenting Content and Style, ICLR, 2023. Peng Mi, Li Shen , Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao, Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach, NeurIPS, 2022. Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen , Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell, MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models, NeurIPS, 2022. Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen , Yong Zhang, Jue Wang, Baoyuan Wu, Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation, NeurIPS, 2022. Zhenyi Wang, Li Shen , Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao, Improving Task-free Continual Learning by Distributionally Robust Memory Evolution, ICML, 2022. Rong Dai, Li Shen , Fengxiang He, Xinmei Tian, Dacheng Tao, DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training, ICML, 2022.Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen , Junchi Yan, Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning, ICML, 2022. Chaojian Yu, Bo Han, Li Shen , Jun Yu, Chen Gong, Mingming Gong, Tongliang liu, Understanding Robust Overfitting of Adversarial Training and Beyond, ICML, 2022. Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen , Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training, ICLR , 2022. Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen , Dacheng Tao, Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning, ICLR , 2022. Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen , Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu, Sparse Training via Boosting Pruning Plasticity with Neuroregeneration, NeurIPS, 2021. Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen , Wei Liu, Tianbao Yang, Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks, ICML, 2020. Li Shen , Peng Sun, Yitong Wang, Wei Liu, Tong Zhang, An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method, ICML, 2018. ( oral ) Li Shen , Wei Liu, Ganzhao Yuan, Shiqian Ma, GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization, ICML, 2017.[ extended version ] ( oral ) ↗
▸ 近期发表成果 / 论文收起成果列表3 项
论文冯钰捷 (Yujie Feng)香港理工大学Continual Learning
FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning · ACL 2026 ↗
▸ 近期发表成果 / 论文收起成果列表7 项
博客Phimes独立研究LLM
KV Cache（二）：从如何让GPU不摸鱼开始思考——MQA、GQA到MLA的计算拆解 ↗
▸ 近期技术博文收起成果列表8 项
博客DaNing东北大学DiffusionMultimodal
Multimodal Large Language Model 总结 ↗
▸ 近期技术博文收起成果列表9 项
博客Jyo PariMITLLMOptimization
Mystery of the Quintics ↗
▸ 近期发表成果 / 论文收起成果列表9 项
论文Chongjie Si上海交通大学Optimization
Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label Learning · CVPR 2026 ↗
▸ 近期发表成果 / 论文收起成果列表6 项
论文陈蒋捷 (Jiangjie Chen)复旦大学 / ByteDance SeedLLMAgent
ARIA: Training Language Agents with Intention-Driven Reward Aggregation · NeurIPS 2025 Spotlight ↗
▸ 近期发表成果 / 论文收起成果列表7 项
论文Qinsi WangDuke UniversityLLMVLM
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play · ICLR 2026 ↗
▸ 近期发表成果 / 论文收起成果列表3 项
博客percent4个人博客LLMNLP
NLP（一百二十二）使用mem0为你的大模型加入记忆层 本文将会介绍如何使用mem0工具来为你的大模型加入记忆层。 2025-07-13 NLP #NLP #mem0 ↗
▸ 近期技术博文收起成果列表2 项
全部学者目录
学者 单位 方向 状态 更新时间 最近动态
A. Weers Blog 个人博客 RL, LLM OK 2026-07-25 Denser rewards, nearly free: contrastive potential shaping
Blogs | wh 个人博客 LLM OK 2026-05-10 SFT, RL, and On-Policy Distillation Through a Distributional Lens
Breezedeus (郑培华) 独立开发 Agent, LLM OK 2026-08-01 模型如何边看边听、边回应：实时流式多模态模型技术路线
Chengsong Huang Washington University in St. Louis LLM, Reasoning, Agent OK 2026-10-20 ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction
Chongjie Si 上海交通大学 Optimization OK 2026-10-04 Revisiting Sparsity Constraint Under High-Rank Property in Partial Multi-Label L
Chris Olah (colah) Anthropic Interpretability OK 2026-10-30 Circuits Updates — October 2026
DaNing 东北大学 Diffusion, Multimodal OK 2026-01-10 Introduction: Vector Quantization
David Noel Ng 独立研究 Interpretability, Efficiency, LLM OK 2026-09-10 Teaching an M4 CPU to Tell Stories with XOR, Popcount and SDOT
Hao Zhu (朱昊) ANU / CSIRO Continual Learning CHG 2026-10-04 Content changed
Jyo Pari MIT LLM, Optimization OK 2026-10-04 Mini Research Optimizing the Optimization Trajectory
K.I.S.S Moonshot AI Systems OK 2026-04-04 macOS 按域名切换 DNS 解析
Lcf (LCF Blog) 个人博客 LLM OK 2026-10-04 OCR模型
Lilian Weng (Lil'Log) Thinking Machines Lab LLM OK 2026-10-04 Harness Engineering for Self-Improvement
mengrennwpu 西北工业大学 Application OK 2026-10-06 LLM论文研读：Trace as State——把思考过程放到问题之前，真的能让大模型更会推理吗？ - mengrennwpu
Nathan Lambert Interconnects RL, Alignment, LLM NEW 2026-10-31 1 new item(s)
percent4 个人博客 LLM, NLP OK 2026-10-06 技术文章写作计划 个人技术文章写作计划 2023-07-06 写作计划 #写作计划
Phimes 独立研究 LLM OK 2026-01-16 KV Cache（二）：从如何让GPU不摸鱼开始思考——MQA、GQA到MLA的计算拆解
plmblog Alibaba LLM OK 2026-10-06 Meta 系列
Qinsi Wang Duke University LLM, VLM, RL, Optimization OK 2026-10-09 Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play · IC
Shuaichen Chang AWS Agent OK 2026-10-06 R-WoM: Retrieval-augmented World Model For Computer-use Agents · ICLR 2026
Thinking Machines Lab Thinking Machines Lab LLM OK 2026-10-04 Shared science from the team
Wai-Chung Kwan University of Edinburgh LLM, Reasoning, NLP OK 2026-10-09 SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks · NeurIPS 2026
Xiongda Blog (熊大) 独立开发 Engineering, LLM OK 2026-08-05 Claude Banner
Yixuan Tang HKUST LLM, Finance, NLP OK 2026-10-09 Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large
YY Blog 个人博客 Tool OK 2026-01-10 JS逆向从入门到放弃
Zixuan Li 计算所 NLP OK 2026-10-04 Beijing, China
傅宇千 自动化所 Distillation, RL, Reasoning OK 2026-10-04 Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes · CO
冯亮 复旦大学 Tool OK 2026-10-06 HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-then-Forecast D
冯钰捷 (Yujie Feng) 香港理工大学 Continual Learning OK 2026-10-31 FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Le
刘子铭 (Ziming Liu) 清华大学 LLM OK 2026-09-23 Six Bets on Auto-Research
吴太强 香港大学 Reasoning OK 2026-10-31 The Art of Efficient Reasoning: Data, Reward, and Optimization Taiqiang Wu · EM
周嘉欢 北京大学 Continual Learning, Multimodal OK 2026-10-06 3R-Adapter: Retrieval, Rewiring, and Refinement for Efficient Adaptation of 3D R
周大蔚 南京大学 (LAMDA) Continual Learning, Multimodal OK 2026-09-24 NeurIPS Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instructi
周旭辉 (Xuhui Zhou) CMU RL, CHI OK 2026-10-31 Muse Wonder
唐安可 清华大学 Model Merging OK 2026-10-06 MergOPT: A Merge-Aware Optimizer for Robust Model Merging
姚顺宇 (Shunyu Yao) Princeton / OpenAI LLM, Agent OK 2026-10-06 Computer-Using Agent (CUA) / Operator (OpenAI) · 2025-01
孙宇 英伟达 Test-Time Scaling OK 2026-10-31 End-to-End Test-Time Training for Long Context Arnuv Tandon*, Karan Dalal*, Xinh
孙海龙 南京大学 (LAMDA) Continual Learning, Multimodal OK 2026-10-23 We introduce Ling-3.1-flash-1019 , scoring 44 on the Artificial Analysis Intelli
孙科 宾夕法尼亚大学 RL, Reasoning OK 2026-10-06 CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
庄辉平 华南理工大学 Continual Learning, Embodied AI OK 2026-10-04 Beyond Codebook Uniformity: Triplet-Level Metrics and Triplet-Driven Semantic ID
张天远 MIT 3DV OK 2026-10-23 Generating a re-illuminated reconstruction of an object
张逸飞 (Yifei Zhang) 港中文 Continual Learning OK 2026-10-04 Federated Domain Generalization for Time-Series Classification via Dynamics-to-D
朱星宇 NUS VLM OK 2026-10-04 RASteer: Retain-Aware Activation Steering for Concept Erasure in Diffusion Model
李东洋 (Tobias Lee) Xiaomi Mimo LLM OK 2025-04-06 2025 年 4 月随笔
杨恩能 中山大学 Model Merging OK 2026-10-05 Several of our papers have been accepted by NeurIPS 2026
杨永进 多伦多大学 Agent, Alignment OK 2026-10-31 Transferability for General Reasoning: An Automated Curriculum for Multi-Domain
林知秋 CMU Multimodal, Video, VLM OK 2026-10-06 CVPR 2026 Highlight (Top 3%) CHAI: Building a Precise Video Language with Human-
柠檬CC 独立研究 LLM, RL OK 2026-10-10 大语言模型研究18——线性回归视角看强化学习策略梯度
沈宇腾 (Yuteng Shen) 南京大学 Post-training OK 2026-08-15 No recent activity
沈立 中山大学 Model Merging OK 2026-10-31 Previously, he was a research scientist at JD Explore Academy, Beijing, and a se
王子峰 Google LLM, Agent OK 2026-10-06 EnvHarness: Awakening Static Worlds for Agent Learning
王立远 清华大学 Continual Learning OK 2026-10-06 Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regulari
胡君耀 武汉大学 CV OK 2026-10-06 Activity I attended VALSE 2026 (Wuhan, China)
苏俊杰 (Junjie Su) 北京邮电大学 AI Infra OK 2026-10-13 How MiTA Works
苏剑林 - 科学空间 Kimi LLM, Theory OK 2026-10-28 从参数对称性到有效学习率
董功 东南大学 Continual Learning OK 2026-10-04 MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LL
蒋玉初 东南大学 ML, LLM, Post-training OK 2026-10-06 Rethinking LLM Ensembling from the Perspective of Mixture Models
袁洋 清华大学 Category Theory CHG 2026-10-06 Content changed
袁粒组会 北京大学 LLM, CV, ML OK 2026-10-31 2025 FALL
陈旭 (Chenxu) 北京邮电大学 AI Infra, Engineering OK 2026-10-31 江苏篇
陈蒋捷 (Jiangjie Chen) 复旦大学 / ByteDance Seed LLM, Agent OK 2026-10-04 MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
黄家斌 马里兰大学 (UMD) 3DV OK 2026-10-06 Capital One endowed Associate Professor