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Zhongwen Xu

31 papers · 2013–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (11) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (6)
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Conferences

NIPS (9) CVPR (7) ICLR (7) AAAI (2) ICCV (2) ICML (2) IJCAI (2)

Top co-authors

Shuicheng Yan (10) Yi Yang (9) David Silver (8) Junhyuk Oh (7) Hado P van Hasselt (7) Matteo Hessel (7) Xiao Ma (4) Tom Zahavy (4) Satinder P. Singh (4) Alexander G. Hauptmann (4)

Research topics

Reinforcement Learning (1)

Keywords

reinforcement learning (8) value function (3) event detection (3) representation learning (3) online learning (2) video representation (2) auxiliary task (2) video classification (2) action recognition (2) temporal modeling (2) video analysis (2) policy gradient (2) video understanding (2) complex event detection (2) off-policy learning (2) deep reinforcement learning (2) convolutional neural network (2) object recognition (1) multi-source learning (1) temporal difference learning (1)

Papers

Pre-Trained Video Generative Models as World Simulators AAAI 2026 Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform ICLR 2024 Reinforcement Learning from Diverse Human Preferences IJCAI 2024 Distributional Meta-Gradient Reinforcement Learning ICLR 2023 Visual Imitation Learning with Patch Rewards ICLR 2023 DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics ICLR 2023 Mutual Information Regularized Offline Reinforcement Learning NIPS 2023 Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 Imitation Learning As State Matching via Differentiable Physics CVPR 2023 Efficient Offline Policy Optimization with a Learned Model ICLR 2023 RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning ICLR 2023 EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine NIPS 2022 Balancing Constraints and Rewards with Meta-Gradient D4PG ICLR 2021 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Discovery of Options via Meta-Learned Subgoals NIPS 2021 A Self-Tuning Actor-Critic Algorithm NIPS 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 Discovering Reinforcement Learning Algorithms NIPS 2020 Meta-Gradient Reinforcement Learning with an Objective Discovered Online NIPS 2020 Discovery of Useful Questions as Auxiliary Tasks NIPS 2019 Meta-Gradient Reinforcement Learning NIPS 2018 Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification IJCAI 2018 Bidirectional Multirate Reconstruction for Temporal Modeling in Videos CVPR 2017 Few-Shot Object Recognition From Machine-Labeled Web Images CVPR 2017 Natural Value Approximators: Learning when to Trust Past Estimates NIPS 2017 Hierarchical Recurrent Neural Encoder for Video Representation With Application to Captioning CVPR 2016 A Discriminative CNN Video Representation for Event Detection CVPR 2015 Event Detection using Multi-Level Relevance Labels and Multiple Features CVPR 2014 How Related Exemplars Help Complex Event Detection in Web Videos? ICCV 2013 Feature Weighting via Optimal Thresholding for Video Analysis ICCV 2013 Complex Event Detection via Multi-source Video Attributes CVPR 2013