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Zheng Tian

11 papers · 2017–2025 · 7 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (27) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Keyword Champion πŸ‘₯ Mega-Team Β· Squad πŸ—ƒοΈ Keyword Collector (60) πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6)

Venues

AAAI (2) CVPR (2) IJCAI (2) NeurIPS (2) CoRL (1) ICLR (1) Interspeech (1)

Top co-authors

Jun Wang (7) Ying Wen (3) Fanglei Sun (3) Shihao Zou (3) Weinan Zhang (2) Yaodong Yang (2) Ian Davies (2) Zheng Chen (1) Bozhong Zheng (1) Xiaohao Xu (1)

Research topics

Artificial Intelligence (8) Core AI (8) Reinforcement Learning (6) Machine Learning (5) Methods (5) Deep Learning (3) Applications Β· Reinforcement Learning (3) Learning Types (3) Computer Vision (2) Analysis (2) Application Areas (2) Computer Science (1) Healthcare & Medicine (1) Speech & Audio (1) Applications Β· Computer Science (1)

Keywords

multi-agent reinforcement learning (5) cooperative game (2) opponent modeling (2) policy optimization (2) trust region (2) policy learning (1) autonomous driving (1) sample efficiency (1) probabilistic inference (1) anomaly detection (1) reinforcement learning (1) cross-modal learning (1) variational inference (1) video understanding (1) policy search (1) game playing (1) multi-agent learning (1) tree search (1) partial differential equation (1) maximum entropy (1)

Papers

Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties CVPR 2025 Off-Agent Trust Region Policy Optimization IJCAI 2024 Tri-Modal Motion Retrieval by Learning a Joint Embedding Space CVPR 2024 Cross-utterance Conditioned Coherent Speech Editing Interspeech 2023 Order Matters: Agent-by-agent Policy Optimization ICLR 2023 M2N: Mesh Movement Networks for PDE Solvers NeurIPS 2022 Learning to Communicate Implicitly by Actions AAAI 2020 Learning to Model Opponent Learning (Student Abstract) AAAI 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CoRL 2020 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 Thinking Fast and Slow with Deep Learning and Tree Search NeurIPS 2017