Zhang, Qixin

11 publications

ICML 2025 Contextual Bandits for Unbounded Context Distributions Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng

NeurIPS 2025 Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang

NeurIPS 2025 Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao

ICML 2025 Multinoulli Extension: A Lossless yet Effective Probabilistic Framework for Subset Selection over Partition Constraints Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao

ICLR 2025 Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao

ICML 2025 Refining Adaptive Zeroth-Order Optimization at Ease Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai

ICML 2025 Test-Time Adaptation on Graphs via Adaptive Subgraph-Based Selection and Regularized Prototypes Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang

ICML 2023 Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-Sided Resource Constraints and Finite Requests Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang

AISTATS 2023 Online Learning for Non-Monotone DR-Submodular Maximization: From Full Information to Bandit Feedback Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang

ICML 2022 Stochastic Continuous Submodular Maximization: Boosting via Non-Oblivious Function Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang

ICML 2021 Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng