Zhang, Qixin

17 publications

ICLR 2026 Convergent Differential Privacy Analysis for General Federated Learning Yan Sun, Qixin Zhang, Li Shen, Dacheng Tao

ICLR 2026 Fractional-Order Spiking Neural Network Chengjie Ge, Yufeng Peng, Zihao Li, Qiyu Kang, Xueyang Fu, Xuhao Li, Qixin Zhang, Ren Junhao, Zheng-Jun Zha

ICLR 2026 GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-Theoretic Tasks Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Zhengyuan Dong, Joao Monteiro, Bang Liu, Qiuzhuang Sun, Tianshu Yu

ICLR 2026 MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs Yan Sun, Qixin Zhang, Zhiyuan Yu, Xikun Zhang, Li Shen, Dacheng Tao

ICLR 2026 Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning Zhiping Xiao, Yusheng Zhao, Qixin Zhang, Jiaye Xie, Wanjia Zhao, Weizhi Zhang, Xiao Luo, Philip S. Yu, Ming Zhang

ICLR 2026 Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks Yi Yu, Qixin Zhang, Shuhan Ye, Xun Lin, Qianshan Wei, Kun Wang, Wenhan Yang, Dacheng Tao, Xudong Jiang

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