Weixun Wang
24 papers · 2020–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Keyword Champion
(2)
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Dynamic Duo
(12)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
(114)
Venues
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Research topics
Artificial Intelligence
(21)
Core AI
(19)
Machine Learning
(14)
Reinforcement Learning
(12)
Methods
(12)
Learning Types Β· Machine Learning
(10)
Deep Learning
(7)
Natural Language Processing
(4)
Architectures
(4)
Resources & Methods
(4)
Core Methods
(3)
Learning Paradigms Β· Machine Learning
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Keywords
multi-agent reinforcement learning
(8)
reinforcement learning
(7)
large language model
(6)
deep reinforcement learning
(4)
policy transfer
(3)
reward shaping
(2)
neural network
(2)
multi-agent system
(2)
critic model
(2)
policy learning
(2)
transfer learning
(2)
supervised fine-tuning
(2)
reward modeling
(2)
option learning
(2)
graph neural network
(2)
model alignment
(2)
knowledge distillation
(1)
attention mechanism
(1)
direct preference optimization
(1)
preference learning
(1)
Papers
Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs
CVPR 2026
RollArt: Disaggregated Multi-Task Agentic RL Training at Scale
OSDI 2026
RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching
NSDI 2026
ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
ACL 2026
Think-J: Learning to Think for Generative LLM-as-a-Judge
AAAI 2026
USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS
ACL 2026
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
NAACL 2025
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
ACL 2025
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
ACL 2025
OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework
EMNLP 2025
ProgCo: Program Helps Self-Correction of Large Language Models
ACL 2025
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
AAAI 2024
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
ICLR 2023
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library
JMLR 2023
Individual Reward Assisted Multi-Agent Reinforcement Learning
ICML 2022
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing
NeurIPS 2022
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NeurIPS 2021
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
ICLR 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
IJCAI 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
AAAI 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
IJCAI 2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
IJCAI 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
NeurIPS 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network
AAAI 2020