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Dongsheng Li

Microsoft Research Asia, Shanghai, China

55 papers at tracked venues · 44 at CORE A* · active 2024–2026

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Venues

NeurIPS ×13ICLR ×10SIGIR ×5ICML ×4ACL ×3CVPR ×3WSDM ×3WWW ×3AAAI ×2CIKM ×2ECCV ×2NAACL ×2ICWSM ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Jiahao Liu
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Jiafeng Xia
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Changze Lv
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Siyu Yuan
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Haofei Lu
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Yucheng Li
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Baoyu Jing
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Huiqiang Jiang
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Yuebo Feng
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Xueyu Chen
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Shengkang Gu
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Wenxin Zhao
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Papers

  1. Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation
    SIGIR 2026 ·
    Yuebo Feng
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  2. Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization
    AAAI 2026 ·
    Xueyu Chen
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  3. LLM Agent-based Shilling Attack on Recommender Systems
    WSDM 2026 ·
    Shengkang Gu
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  4. AOTree: Aspect Order Tree-Based Model for Explainable Recommendation
    ICWSM 2025 ·
    Wenxin Zhao
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  5. Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization
    CVPR 2025 ·
    Zhipeng Xu
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  6. AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
    SIGIR 2025 ·
    Jiahao Liu
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  7. Chain-of-Model Learning for Language Model
    NeurIPS 2025 ·
    Xiaohua Wang
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  8. DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
    ICLR 2025 ·
    Brian Nlong Zhao
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  9. EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
    NAACL 2025 ·
    Siyu Yuan
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  10. EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents
    CIKM 2025 ·
    Guangping Zhang
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  11. EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
    NAACL 2025 ·
    Siyu Yuan
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  12. FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
    SIGIR 2025 ·
    Mingzhe Han
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  13. Filtering Discomforting Recommendations with Large Language Models
    WWW 2025 ·
    Jiahao Liu
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  14. Frequency-aware Graph Signal Processing for Collaborative Filtering
    WWW 2025 ·
    Jiafeng Xia
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  15. Habitizing Diffusion Planning for Efficient and Effective Decision Making
    ICML 2025 ·
    Haofei Lu
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  16. How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
    ICLR 2025 ·
    Xinnan Dai
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  17. Improving LLM-powered Recommendations with Personalized Information
    SIGIR 2025 ·
    Jiahao Liu
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  18. Learning to Instruct for Visual Instruction Tuning
    NeurIPS 2025 ·
    Zhihan Zhou
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  19. MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention
    ICML 2025 ·
    Yucheng Li
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  20. Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel
    ACL 2025 ·
    Yijiong Yu
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  21. Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
    CVPR 2025 ·
    Zhihe Yang
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  22. NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
    ICLR 2025 ·
    Weibang Jiang
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  23. Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
    NeurIPS 2025 ·
    Zehui Li
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  24. Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
    ICML 2025 ·
    Jixian Zhou
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  25. Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
    WSDM 2025 ·
    Jiafeng Xia
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  26. SCBench: A KV Cache-Centric Analysis of Long-Context Methods
    ICLR 2025 ·
    Yucheng Li
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  27. SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
    ICLR 2025 ·
    Zhuoshi Pan
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  28. SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
    NeurIPS 2025 ·
    Yimu Zhang
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  29. Toward Relative Positional Encoding in Spiking Transformers
    NeurIPS 2025 ·
    Changze Lv
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  30. Unbiased Collaborative Filtering with Fair Sampling
    SIGIR 2025 ·
    Jiahao Liu
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  31. What Makes a Good Diffusion Planner for Decision Making?
    ICLR 2025 ·
    Haofei Lu
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  32. pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
    ICLR 2025 ·
    Shentong Mo
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  33. Addressing Signal Delay in Deep Reinforcement Learning
    ICLR 2024 ·
    William Wei Wang
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  34. Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
    NeurIPS 2024 ·
    Changze Lv
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  35. Automated Contrastive Learning Strategy Search for Time Series
    CIKM 2024 ·
    Baoyu Jing
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  36. CNN Kernels Can Be the Best Shapelets
    ICLR 2024 ·
    Eric Qu
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  37. Can Graph Learning Improve Planning in LLM-based Agents?
    NeurIPS 2024 ·
    Xixi Wu
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  38. Disentangled Prompt Representation for Domain Generalization
    CVPR 2024 ·
    De Cheng
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  39. EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
    NeurIPS 2024 ·
    Xuan-Hao Liu
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  40. Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
    ICML 2024 ·
    Changze Lv
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  41. Hierarchical Graph Signal Processing for Collaborative Filtering
    WWW 2024 ·
    Jiafeng Xia
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  42. Improving Large Language Models in Event Relation Logical Prediction
    ACL 2024 ·
    Meiqi Chen
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  43. LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
    IJCAI 2024 ·
    Zhuoxuan Jiang
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  44. Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
    AAAI 2024 ·
    Yubin Wang
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  45. LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
    ACL 2024 ·
    Huiqiang Jiang
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  46. MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
    NeurIPS 2024 ·
    Huiqiang Jiang
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  47. Neural Kalman Filtering for Robust Temporal Recommendation
    WSDM 2024 ·
    Jiafeng Xia
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  48. Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
    NeurIPS 2024 ·
    Fang Dong
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  49. Online Video Quality Enhancement with Spatial-Temporal Look-Up Tables
    ECCV 2024 ·
    Zefan Qu
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  50. Resurrecting Label Propagation for Graphs with Heterophily and Label Noise
    SIGKDD 2024 ·
    Yao Cheng
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  51. TaskBench: Benchmarking Large Language Models for Task Automation
    NeurIPS 2024 ·
    Yongliang Shen
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  52. Towards Editing Time Series
    NeurIPS 2024 ·
    Baoyu Jing
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  53. Training-free Multi-objective Diffusion Model for 3D Molecule Generation
    ICLR 2024 ·
    Xu Han
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  54. Understanding and Improving Training-free Loss-based Diffusion Guidance
    NeurIPS 2024 ·
    Yifei Shen
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  55. Unified Medical Image Pre-training in Language-Guided Common Semantic Space
    ECCV 2024 ·
    Xiaoxuan He
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