← Authors

Weinan Zhang

119 papers · 2012–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🏠 Conference Loyalist (20) πŸ† Keyword Champion (4) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ‘₯ Mega-Team (32) πŸ”¬ Deep Specialist (20) 🀝 Dynamic Duo (52) πŸš€ Conference Pioneer ⚑ Prolific Year (12) πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (77) πŸ“ˆ Trend Setter πŸ’Ž Century Club (116) ❓ The Questioner

Conferences

NIPS (20) AAAI (16) IJCAI (15) ICLR (14) ICML (12) ACL (11) EMNLP (11) COLING (5) CORL (4) AISTATS (3) JMLR (3) IJCNLP (2) RSS (2) NAACL (1)

Top co-authors

Yong Yu (53) Jun Wang (20) Minghuan Liu (14) Ting Liu (12) Ying Wen (12) Ruiming Tang (11) Jian Shen (10) Lin Qiu (9) Kan Ren (8) Hao Zhou (7)

Research topics

Education (1)

Keywords

reinforcement learning (19) offline reinforcement learning (9) multi-agent reinforcement learning (8) multi-agent system (8) policy optimization (8) large language model (6) recommender system (6) sample efficiency (5) model-based reinforcement learning (5) representation learning (5) diffusion model (5) transfer learning (5) policy gradient (4) graph neural network (4) proximal policy optimization (4) sequence generation (4) generative adversarial network (4) neural machine translation (4) code generation (4) transformer architecture (3)

Papers

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