Qixin Zhang

According to our database, Qixin Zhang authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS.

Can Jin, Yang Zhou, Qixin Zhang, Hongwu Peng, Di Zhang, Marco Pavone, Ligong Han, Zhang-Wei Hong, Tong Che, Dimitris N. Metaxas

CoRR, August, 2025

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on Large Language Models.

Yan Sun, Qixin Zhang, Zhiyuan Yu, Xikun Zhang, Li Shen, Dacheng Tao

CoRR, June, 2025

GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks.

Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Joao Monteiro, Qiuzhuang Sun, Tianshu Yu

CoRR, April, 2025

Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning.

Can Jin, Hongwu Peng, Qixin Zhang, Yujin Tang, Dimitris N. Metaxas, Tong Che

CoRR, April, 2025

Refining Adaptive Zeroth-Order Optimization at Ease.

Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai

CoRR, February, 2025

Graph convolutional network for traffic incidents duration classification.

Lyuyi Zhu, Qixin Zhang, Xiangru Jian, Yu Yang

Eng. Appl. Artif. Intell., 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Dynamic Assortment Selection Under Inventory and Limited Switches Constraints.

Hongbin Zhang, Qixin Zhang, Feng Wu, Yu Yang

IEEE Trans. Knowl. Data Eng., March, 2024

Boosting Gradient Ascent for Continuous DR-submodular Maximization.

Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang

CoRR, 2024

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

Proceedings of the International Conference on Machine Learning, 2023

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization.

Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback.

Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang

CoRR, 2022

MNL-Bandits under Inventory and Limited Switches Constraints.

Hongbin Zhang, Yu Yang, Feng Wu, Qixin Zhang

CoRR, 2022

Continuous Submodular Maximization: Boosting via Non-oblivious Function.

Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang

CoRR, 2022

Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function.

Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

Online Allocation with Two-sided Resource Constraints.

Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yang Yu

CoRR, 2021

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing.

Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng

Proceedings of the 38th International Conference on Machine Learning, 2021