Zhongwen Xu
31 papers · 2013–2026 · 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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πΊοΈ Taxonomy Completionist (44) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Triple Crown
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Topic Evolution
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Deep Specialist
(12)
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Grand Slam
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Dynamic Duo
(10)
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Conference Pioneer
π₯
Unstoppable Β· Silver
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Trend Setter
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Keyword Collector
(143)
Top co-authors
Research topics
Machine Learning
(20)
Reinforcement Learning
(19)
Methods
(18)
Artificial Intelligence
(14)
Learning Types Β· Machine Learning
(13)
Deep Learning
(12)
Core AI
(11)
Learning Types Β· Deep Learning
(8)
Core Methods
(7)
Computer Vision
(6)
Learning Paradigms Β· Artificial Intelligence
(5)
Learning Paradigms Β· Machine Learning
(5)
Processing
(5)
Analysis
(4)
Optimization & Theory
(4)
Keywords
reinforcement learning
(9)
event detection
(3)
representation learning
(3)
value function
(3)
temporal modeling
(2)
auxiliary task
(2)
video representation
(2)
offline reinforcement learning
(2)
off-policy learning
(2)
action recognition
(2)
video analysis
(2)
online learning
(2)
video classification
(2)
imitation learning
(2)
temporal difference learning
(2)
video understanding
(2)
policy gradient
(2)
deep reinforcement learning
(2)
convolutional neural network
(2)
differentiable physics
(2)
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
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
ICLR 2023
Distributional Meta-Gradient Reinforcement Learning
ICLR 2023
Efficient Offline Policy Optimization with a Learned Model
ICLR 2023
Imitation Learning As State Matching via Differentiable Physics
CVPR 2023
Mutual Information Regularized Offline Reinforcement Learning
NeurIPS 2023
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning
ICLR 2023
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning
AAAI 2023
Visual Imitation Learning with Patch Rewards
ICLR 2023
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
NeurIPS 2022
Balancing Constraints and Rewards with Meta-Gradient D4PG
ICLR 2021
Discovery of Options via Meta-Learned Subgoals
NeurIPS 2021
Emphatic Algorithms for Deep Reinforcement Learning
ICML 2021
A Self-Tuning Actor-Critic Algorithm
NeurIPS 2020
Discovering Reinforcement Learning Algorithms
NeurIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
NeurIPS 2020
What Can Learned Intrinsic Rewards Capture?
ICML 2020
Discovery of Useful Questions as Auxiliary Tasks
NeurIPS 2019
Meta-Gradient Reinforcement Learning
NeurIPS 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
NeurIPS 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
Complex Event Detection via Multi-source Video Attributes
CVPR 2013
Feature Weighting via Optimal Thresholding for Video Analysis
ICCV 2013
How Related Exemplars Help Complex Event Detection in Web Videos?
ICCV 2013