Yufeng Zhang
23 papers · 2019–2026 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yufeng Zhang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zhaoran Wang, Zhuoran Yang, Qi Cai
11 papers
· 2020–2026
· ICML, NeurIPS, AISTATS
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A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization
JMLR 2026
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
ICML 2025
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
AISTATS 2025
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation
ICML 2022
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
ICML 2022
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
ICML 2021
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
NeurIPS 2021
Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case
AISTATS 2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
NeurIPS 2021
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
NeurIPS 2020
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
ICML 2020
6 papers whose co-authors appear nowhere else under this name
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
EMNLP 2025
DavIR: Data Selection via Implicit Reward for Large Language Models
ACL 2025
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
AAAI 2025
MCOP: Multi-UAV Collaborative Occupancy Prediction
ICCV 2025
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
NeurIPS 2023
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations
CVPR 2019