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Zhongwen Xu

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

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (40) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (10) 🌱 Topic Pioneer ❓ The Questioner (2) πŸ’Ž Century Club (30) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (114) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (12)

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