Jianyu Chen
20 papers · 2021–2025 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (42) ποΈ Keyword Collector (110)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Prolific
Top co-authors
Research topics
Keywords
reinforcement learning
(6)
partially observable markov decision process
(2)
robot manipulation
(2)
constrained reinforcement learning
(2)
belief state
(2)
large language model
(2)
multi-task learning
(1)
semi-supervised learning
(1)
contrastive learning
(1)
variational inference
(1)
transfer learning
(1)
domain adaptation
(1)
information bottleneck
(1)
object detection
(1)
sim-to-real transfer
(1)
sample efficiency
(1)
knowledge distillation
(1)
imitation learning
(1)
source-free domain adaptation
(1)
self-supervised learning
(1)
Papers
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation
AAAI 2025
MARGE: Improving Math Reasoning with Guided Exploration
ICML 2025
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent
ICML 2025
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
ICML 2025
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning
RSS 2024
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
AAAI 2024
HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
CoRL 2024
Prediction with Action: Visual Policy Learning via Joint Denoising Process
NeurIPS 2024
Towards Generalizable Reinforcement Learning for Trade Execution
IJCAI 2023
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
NeurIPS 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
ICML 2022
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning
NeurIPS 2022
Flow-based Recurrent Belief State Learning for POMDPs
ICML 2022
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning
L4DC 2022
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study
L4DC 2022
Reachability Constrained Reinforcement Learning
ICML 2022
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
CoRL 2022
Scale-Equivalent Distillation for Semi-Supervised Object Detection
CVPR 2022
Unsupervised Skill Discovery via Recurrent Skill Training
NeurIPS 2022
Model-Based Reinforcement Learning via Imagination with Derived Memory
NeurIPS 2021