Junyu Zhang
21 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
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(37)
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Conferences
ICML (5)
NIPS (5)
AAAI (3)
ICLR (3)
JMLR (2)
AISTATS (1)
CVPR (1)
EMNLP (1)
Top co-authors
Keywords
sample complexity
(5)
stochastic optimization
(4)
diffusion model
(3)
image generation
(3)
policy gradient
(3)
variance reduction
(3)
nonconvex optimization
(2)
composite optimization
(2)
general utility
(2)
stochastic gradient descent
(1)
game theory
(1)
convex optimization
(1)
reinforcement learning
(1)
uncertainty quantification
(1)
stochastic gradient
(1)
variational inference
(1)
markov decision process
(1)
contrastive learning
(1)
image synthesis
(1)
global convergence
(1)
Papers
Counterfactual Planning for Generalizable Agentsβ Actions
AAAI 2026
DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance
AAAI 2025
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
ICML 2025
Anti-Exposure Bias in Diffusion Models
ICLR 2025
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
ICLR 2025
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
EMNLP 2025
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
ICLR 2024
Residual Learning in Diffusion Models
CVPR 2024
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
ICML 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
JMLR 2024
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
ICML 2023
Symmetry-Aware Robot Design with Structured Subgroups
ICML 2023
Contrastive Sampling Chains in Diffusion Models
NIPS 2023
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic
AAAI 2022
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
NIPS 2022
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
NIPS 2021
Generalization Bounds for Stochastic Saddle Point Problems
AISTATS 2021
From Low Probability to High Confidence in Stochastic Convex Optimization
JMLR 2021
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
NIPS 2020
A Composite Randomized Incremental Gradient Method
ICML 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction
NIPS 2019