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Deheng Ye

30 papers · 2019–2026 · 9 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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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (45) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Grand Slam 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (154)

Venues

NeurIPS (7) IJCAI (5) AAAI (3) ACL (3) CVPR (3) EMNLP (3) ICML (3) ICLR (2) ICCV (1)

Top co-authors

Qiang Fu (10) Wei Yang (9) Zichuan Lin (6) Zongqing Lu (6) Lanxiao Huang (5) Peilin Zhao (4) Hao Wang (4) Liang Wang (4) Zhao Liu (3) Yijun Yang (3)

Research topics

Reinforcement Learning (21) Artificial Intelligence (20) Core AI (20) Methods (20) Deep Learning (12) Applications (11) Machine Learning (10) Learning Types Β· Deep Learning (8) Learning Types Β· Machine Learning (6) Architectures (3) Computer Vision (2) Knowledge & Reasoning (2) Application Areas (2) Core Methods (2) Learning Paradigms (2)

Keywords

multi-agent reinforcement learning (7) game ai (5) offline reinforcement learning (5) reinforcement learning (5) multi-agent system (5) deep reinforcement learning (4) vision-language model (3) game artificial intelligence (2) policy optimization (2) moba game (2) large language model (2) curriculum learning (2) policy learning (2) policy gradient (2) sample efficiency (1) sequence labeling (1) transformer architecture (1) optimal transport (1) imitation learning (1) visual question answering (1)

Papers

AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition CVPR 2026 GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training CVPR 2026 Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning CVPR 2026 The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games ACL 2026 Ad Hoc Teamwork via Offline Goal-Based Decision Transformers ICML 2025 Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data ACL 2025 CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks EMNLP 2025 Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint ICLR 2025 Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making ICML 2025 GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training ICCV 2025 VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft EMNLP 2025 Language Model Adaption for Reinforcement Learning with Natural Language Action Space ACL 2024 Learning Versatile Skills with Curriculum Masking NeurIPS 2024 LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024 Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023 Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NeurIPS 2023 More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization ICLR 2023 Mutual-Information Regularized Multi-Agent Policy Iteration NeurIPS 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning AAAI 2023 Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning NeurIPS 2022 JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning IJCAI 2022 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Coordinated Proximal Policy Optimization NeurIPS 2021 Learning Diverse Policies in MOBA Games via Macro-Goals NeurIPS 2021 MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks IJCAI 2021 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Relation-Aware Transformer for Portfolio Policy Learning IJCAI 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning NeurIPS 2020 Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks IJCAI 2019