Weinan Zhang

ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution ACL 2026 Exploring and Distilling Multi-Dimensional Clues for Interpretable Social Bot Detection ACL 2026 CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks ACL 2026 Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations AAAI 2026 LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls ACL 2026 ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ACL 2026 A Survey of Large Language Model-Based Search Agents ACL 2026 ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web ACL 2026 A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage ACL 2026 Offline Fictitious Self-Play for Competitive Games AAAI 2026 PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork AAAI 2026 Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs AAAI 2025 Stimulate the Critical Thinking of LLMs via Debiasing Discussion EMNLP 2025 RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation EMNLP 2025 NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging EMNLP 2025 BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds RSS 2025 A Unified and General Humanoid Whole-Body Controller for Fine-Grained Locomotion RSS 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025 Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport ICML 2025 Large Language Models are Demonstration Pre-Selectors for Themselves ICML 2025 ContraDiff: Planning Towards High Return States via Contrastive Learning ICLR 2025 Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency ICLR 2025 Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025 Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation ACL 2025 Robust Function-Calling for On-Device Language Model via Function Masking ICLR 2025 Nullspace Disentanglement for Red Teaming Language Models EMNLP 2025 Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration ACL 2025 DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation ACL 2025 HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios ACL 2025 CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025 Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning ACL 2025 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training NIPS 2024 ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination NIPS 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NIPS 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning NIPS 2024 Reinforcing LLM Agents via Policy Optimization with Action Decomposition NIPS 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs NIPS 2024 Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective CORL 2024 OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning CORL 2024 GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs CORL 2024 ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update ICLR 2024 Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models ACL 2024 MADiff: Offline Multi-agent Learning with Diffusion Models NIPS 2024 Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation EMNLP 2024 Vision-Language Foundation Models as Effective Robot Imitators ICLR 2024 AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training ICML 2024 DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching ICML 2024 MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023 Lending Interaction Wings to Recommender Systems with Conversational Agents NIPS 2023 Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning NIPS 2023 Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation AAAI 2023 Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling AAAI 2023 Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements EMNLP 2023 Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue EMNLP 2023 Order Matters: Agent-by-agent Policy Optimization ICLR 2023 Visual Imitation Learning with Patch Rewards ICLR 2023 GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023 Large Decision Models IJCAI 2023 Adaptation Augmented Model-based Policy Optimization JMLR 2023 Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NIPS 2022 CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment ACL 2022 PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation COLING 2022 Neural Re-ranking in Multi-stage Recommender Systems: A Review IJCAI 2022 Goal-Conditioned Reinforcement Learning: Problems and Solutions IJCAI 2022 Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble IJCAI 2022 Learning Enhanced Representation for Tabular Data via Neighborhood Propagation NIPS 2022 Why Propagate Alone? Parallel Use of Labels and Features on Graphs ICLR 2022 Inductive Relation Prediction Using Analogy Subgraph Embeddings ICLR 2022 Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning NIPS 2022 Reinforcement Learning with Automated Auxiliary Loss Search NIPS 2022 Nested Named Entity Recognition with Span-level Graphs ACL 2022 NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning NIPS 2022 Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection AAAI 2022 Bootstrapped Transformer for Offline Reinforcement Learning NIPS 2022 PerfectDou: Dominating DouDizhu with Perfect Information Distillation NIPS 2022 Towards Return Parity in Markov Decision Processes AISTATS 2022 Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization ICML 2022 SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation COLING 2022 Deep Learning for Click-Through Rate Estimation IJCAI 2021 Glancing Transformer for Non-Autoregressive Neural Machine Translation ACL 2021 On Effective Scheduling of Model-based Reinforcement Learning NIPS 2021 Learning Logic Rules for Document-Level Relation Extraction EMNLP 2021 Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts IJCAI 2021 MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks IJCAI 2021 MARS: Markov Molecular Sampling for Multi-objective Drug Discovery ICLR 2021 Curriculum Offline Imitating Learning NIPS 2021 Data-Driven Multimodal Patrol Planning for Anti-poaching AAAI 2021 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021 Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021 Glancing Transformer for Non-Autoregressive Neural Machine Translation IJCNLP 2021 Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space EMNLP 2020 Efficient Spectrum-Revealing CUR Matrix Decomposition AISTATS 2020 Multi-Agent Interactions Modeling with Correlated Policies ICLR 2020 GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation ICLR 2020 Bidirectional Model-based Policy Optimization ICML 2020 Multi-Agent Determinantal Q-Learning ICML 2020 Towards Making the Most of BERT in Neural Machine Translation AAAI 2020 Bi-Level Actor-Critic for Multi-Agent Coordination AAAI 2020 Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning AAAI 2020 Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder IJCAI 2020 DropNAS: Grouped Operation Dropout for Differentiable Architecture Search IJCAI 2020 Efficient and Robust High-Dimensional Linear Contextual Bandits IJCAI 2020 Model-based Policy Optimization with Unsupervised Model Adaptation NIPS 2020 Efficient Projection-free Algorithms for Saddle Point Problems NIPS 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CORL 2020 Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019 Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space IJCAI 2019 CoT: Cooperative Training for Generative Modeling of Discrete Data ICML 2019 Academic Reader: An Interactive Question Answering System on Academic Literatures AAAI 2019 Dynamically Fused Graph Network for Multi-hop Reasoning ACL 2019 Lipschitz Generative Adversarial Nets ICML 2019 AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods ICLR 2019 Exploring Diverse Expressions for Paraphrase Generation EMNLP 2019 Exploring Diverse Expressions for Paraphrase Generation IJCNLP 2019 Deep Recurrent Survival Analysis AAAI 2019 Context-Sensitive Generation of Open-Domain Conversational Responses COLING 2018 Activation Maximization Generative Adversarial Nets ICLR 2018 Learning to Design Games: Strategic Environments in Reinforcement Learning IJCAI 2018 Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition NAACL 2018 Mean Field Multi-Agent Reinforcement Learning ICML 2018 Path-Level Network Transformation for Efficient Architecture Search ICML 2018 Zero Pronoun Resolution with Attention-based Neural Network COLING 2018 Aggregating Crowd Wisdoms with Label-aware Autoencoders IJCAI 2017 Chinese Zero Pronoun Resolution with Deep Memory Network EMNLP 2017 A Deep Neural Network for Chinese Zero Pronoun Resolution IJCAI 2017 SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012 The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval COLING 2012