Zihan Zhang
56 papers · 2019–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 21 separate collaboration groups - the largest holds only 25% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zihan Zhang?
6 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 Xiangyang Ji, Yuxin Chen, Yuan Zhou
14 papers
· 2019–2025
· COLT, NeurIPS, ICML
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Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
ICLR 2025
Anytime Acceleration of Gradient Descent
COLT 2025
Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback
ICML 2025
Horizon-Free Regret for Linear Markov Decision Processes
ICLR 2024
Optimal Multi-Distribution Learning
COLT 2024
Settling the sample complexity of online reinforcement learning
COLT 2024
Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies
COLT 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
NeurIPS 2022
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
NeurIPS 2021
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon
COLT 2021
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
ICML 2021
Near Optimal Reward-Free Reinforcement Learning
ICML 2021
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition
NeurIPS 2020
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function
NeurIPS 2019
15 papers whose co-authors appear nowhere else under this name
Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration
AAAI 2026
GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
AAAI 2026
Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark
ACL 2026
Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation
AAAI 2026
NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction
WACV 2026
Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
COLT 2026
Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning
ACL 2025
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
NeurIPS 2024
Classification with Deep Neural Networks and Logistic Loss
JMLR 2024
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition
COLING 2024
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
NeurIPS 2023
Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes
COLT 2023
The HCCL System for the NIST SRE21
Interspeech 2022
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
AAAI 2021
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NeurIPS 2019