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Wentao Zhang

Peking University, Beijing, China

92 papers at tracked venues · 84 at CORE A* · active 2024–2026

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Venues

ACL ×21ICDE ×15NeurIPS ×9ICLR ×6AAAI ×5ACM MM ×5SIGKDD ×5VLDB ×5WWW ×5EMNLP ×4ICML ×3ICCV ×2CIKM ×1CVPR ×1ECML-PKDD ×1IJCAI ×1RecSys ×1SIGIR ×1SIGMOD ×1

Frequent coauthors

Xinyi Gao
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Xunkai Li
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Xuchen Li
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Zheng Liu
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Hao Liang
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Keer Lu
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Zeang Sheng
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Linzhuang Sun
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Tianyi Bai
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Ling Yang
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Yuxuan Liang
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Zhengren Wang
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Papers

  1. AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG
    ACL 2026 ·
    Qijie You
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  2. CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos
    AAAI 2026 ·
    Xuchen Li
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  3. ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
    ACL 2026 ·
    Zheng Liu
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  4. Data-Centric Perspectives on Agentic Retrieval-Augmented Generation: A Survey
    ACL 2026 ·
    Jingwen Deng
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  5. Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token's Nature
    ACL 2026 ·
    Zheng Liu
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  6. Let's Verify Math Questions Step by Step
    SIGKDD 2026 ·
    Chengyu Shen
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  7. LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts
    WWW 2026 ·
    Hao Liang
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  8. LongInsightBench: A Comprehensive Benchmark for Evaluating Omni-Modal Models on Human-Centric Long-Video Understanding
    ACL 2026 ·
    ZhaoYang Han
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  9. Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning
    ACL 2026 ·
    Xuchen Li
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  10. MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning
    ACL 2026 ·
    Xuchen Li
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  11. Med-R2: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine
    WWW 2026 ·
    Keer Lu
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  12. MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
    ACL 2026 ·
    Junbo Niu
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  13. MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning
    ACL 2026 ·
    Xukai Wang
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  14. Nested Browser-Use Learning for Agentic Information Seeking
    ACL 2026 ·
    Baixuan Li
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  15. QA-GraphRAG: Query-Adaptive Plug-and-Play Retrieval Integration for Graph-based Retrieval-Augmented Generation
    VLDB 2026 ·
    Zeang Sheng
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  16. Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration
    ACL 2026 ·
    Linzhuang Sun
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  17. SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing
    ACL 2026 ·
    Tong Zhang
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  18. Text2VectorSQL: Towards a Unified Interface for Vector Search and SQL Queries
    ICDE 2026 ·
    Zhengren Wang
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  19. Text2sql-Flow: a Robust Sql-Aware Data Augmentation Framework for Text-To-Sql
    ICDE 2026 ·
    Qifeng Cai
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  20. The Data Frontier for Large Language Models: Selection, Synthesis, and Tools
    ACL 2026 ·
    Lijun Wu
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  21. Towards General Agentic Intelligence via Environment Scaling
    ACL 2026 ·
    Runnan Fang
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  22. Training Verifier to Assessing Complex Real-World Tool-Use Trajectories
    ACL 2026 ·
    Linzhuang Sun
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  23. VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains
    AAAI 2026 ·
    Xuzhao Li
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  24. AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
    IJCAI 2025 ·
    Huanyao Zhang
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  25. Any2anytryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks
    ICCV 2025 ·
    Hailong Guo
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  26. BRACE: A Benchmark for Robust Audio Caption Quality Evaluation
    NeurIPS 2025 ·
    Tianyu Guo
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  27. CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
    ACL 2025 ·
    Tao Zhang
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  28. CompressGNN: Accelerating Graph Neural Network Training via Hierarchical Compression
    SIGKDD 2025 ·
    Zheng Chen
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  29. Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
    SIGKDD 2025 ·
    Xinyi Gao
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  30. DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training
    ICDE 2025 ·
    Keer Lu
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  31. EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
    ACM MM 2025 ·
    Bohan Zeng
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  32. Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
    ACL 2025 ·
    Tianyi Bai
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  33. Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
    ACL 2025 ·
    Peichao Lai
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  34. Epidemiology-informed Network for Robust Rumor Detection
    WWW 2025 ·
    Wei Jiang
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  35. FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
    EMNLP 2025 ·
    Youquan Li
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  36. Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
    ICLR 2025 ·
    Mingyang Chen
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  37. FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
    AAAI 2025 ·
    Guochen Yan
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  38. GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
    ICLR 2025 ·
    Minghao Xu
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  39. Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning
    NeurIPS 2025 ·
    Tianyi Bai
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  40. HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
    NeurIPS 2025 ·
    Ling Yang
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  41. Human Motion Generation in 3D Scenes from Open-Ended Textual Instructions with MLLM Planning
    ACM MM 2025 ·
    Siyi Qian
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  42. IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
    ICLR 2025 ·
    Bohan Zeng
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  43. Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations
    EMNLP 2025 ·
    Peichao Lai
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  44. LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification
    SIGKDD 2025 ·
    Zeang Sheng
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  45. MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification
    ACL 2025 ·
    Linzhuang Sun
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  46. MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation
    SIGIR 2025 ·
    Qinhan Yu
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  47. MathScape: Benchmarking Multimodal Large Language Models in Real-World Mathematical Contexts
    ACM MM 2025 ·
    Hao Liang
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  48. Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
    ACM MM 2025 ·
    Yang Shi
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  49. Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts
    ECML-PKDD 2025 ·
    Haiyang Jiang
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  50. Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
    ICML 2025 ·
    Minghao Xu
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  51. Multi-step Visual Reasoning with Visual Tokens Scaling and Verification
    NeurIPS 2025 ·
    Tianyi Bai
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  52. OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation
    ICCV 2025 ·
    Junyuan Zhang
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  53. OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
    VLDB 2025 ·
    Xunkai Li
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  54. PAS: Plug-and-Play Prompt Augmentation System
    ICDE 2025 ·
    Miao Zheng
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  55. Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
    NeurIPS 2025 ·
    Weifeng Lin
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  56. QAEncoder: Towards Aligned Representation Learning in Question Answering Systems
    ACL 2025 ·
    Zhengren Wang
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  57. Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
    WWW 2025 ·
    Xinyi Gao
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  58. SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs
    EMNLP 2025 ·
    Yuanyang Yin
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  59. SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence
    VLDB 2025 ·
    Jie Jiang
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  60. Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
    ICML 2025 ·
    Junyu Luo
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  61. SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
    ACM MM 2025 ·
    Zheng Liu
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  62. SysBench: Can LLMs Follow System Message?
    ICLR 2025 ·
    Yanzhao Qin
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  63. Taming LLMs with Gradient Grouping
    ACL 2025 ·
    Siyuan Li
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  64. Towards Precise Scaling Laws for Video Diffusion Transformers
    CVPR 2025 ·
    Yuanyang Yin
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  65. Towards Scalable and Deep Graph Neural Networks via Noise Masking
    AAAI 2025 ·
    Yuxuan Liang
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  66. Towards Scalable and Efficient Graph Structure Learning
    ICDE 2025 ·
    Siqi Shen
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  67. Training Data Distribution Estimation for Optimized Pre-training Data Management
    ICDE 2025 ·
    Hao Liang
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  68. Training-Free Heterogeneous Graph Condensation via Data Selection
    ICDE 2025 ·
    Yuxuan Liang
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  69. UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
    NeurIPS 2025 ·
    Ruichuan An
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  70. VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs
    EMNLP 2025 ·
    Keer Lu
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  71. Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
    ICDE 2024 ·
    Xinyi Gao
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  72. AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
    ICDE 2024 ·
    Xunkai Li
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  73. BIM: Improving Graph Neural Networks with Balanced Influence Maximization
    ICDE 2024 · Wentao Zhang
  74. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
    NeurIPS 2024 ·
    Ling Yang
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  75. Distribution-Aware Data Expansion with Diffusion Models
    NeurIPS 2024 ·
    Haowei Zhu
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  76. Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
    NeurIPS 2024 ·
    Yifei Xia
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  77. Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
    ICDE 2024 ·
    Yuxiang Wang
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  78. Graph Condensation for Inductive Node Representation Learning
    ICDE 2024 ·
    Xinyi Gao
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  79. Graph Condensation for Open-World Graph Learning
    SIGKDD 2024 ·
    Xinyi Gao
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  80. HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism
    ICDE 2024 ·
    Yuxuan Liang
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  81. Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
    ICML 2024 ·
    Zhilin Huang
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  82. LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
    VLDB 2024 ·
    Xunkai Li
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  83. MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations
    RecSys 2024 ·
    Yuezihan Jiang
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  84. Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation
    ICDE 2024 ·
    Yuhao Tang
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  85. NC-ALG: Graph-Based Active Learning Under Noisy Crowd
    ICDE 2024 · Wentao Zhang
  86. NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention
    SIGMOD 2024 · Wentao Zhang
  87. OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine
    VLDB 2024 ·
    Zeang Sheng
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  88. Physics-guided Active Sample Reweighting for Urban Flow Prediction
    CIKM 2024 ·
    Wei Jiang
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  89. Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
    ICLR 2024 ·
    Zhilin Huang
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  90. Rethinking Node-wise Propagation for Large-scale Graph Learning
    WWW 2024 ·
    Xunkai Li
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  91. Towards Effective and General Graph Unlearning via Mutual Evolution
    AAAI 2024 ·
    Xunkai Li
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  92. VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
    ICLR 2024 ·
    Ling Yang
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