Qixin Zhang - RankMe

36 papers A* 7A 2Journal 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Differentiable Causal Discovery via Reliable Super-Structure Learning. CoRR Pingchuan Ma, Qixin Zhang, Shuai Wang, Dacheng Tao
2026	J	`jnl`	Make Anything Match Your Target: Universal Adversarial Perturbations against Closed-Source MLLMs via Multi-Crop Routed Meta Optimization. CoRR Hui Lu, Yi Yu, Yiming Yang, Chenyu Yi, Xueyi Ke, Qixin Zhang, Bingquan Shen, Alex C. Kot, Xudong Jiang
2026	J	`jnl`	Multinoulli Extension: A Lossless Continuous Relaxation for Partition-Constrained Subset Selection. CoRR Qixin Zhang, Wei Huang, Yan Sun, Yao Shu, Yi Yu, Dacheng Tao
2026	J	`jnl`	Near-Oracle KV Selection via Pre-hoc Sparsity for Long-Context Inference. CoRR Yifei Gao, Lei Wang, Rong-Cheng Tu, Qixin Zhang, Jun Cheng, Dacheng Tao
2026	J	`jnl`	Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. CoRR Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas
2026	J	`jnl`	Spatio-temporal traffic accidents detection via graph based generative adversarial network. Eng. Appl. Artif. Intell. Lyuyi Zhu, Qixin Zhang, Xiangru Jian, Yu Yang, Lishuai Li
2026	J	`jnl`	Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks. CoRR Yi Yu, Qixin Zhang, Shuhan Ye, Xun Lin, Qianshan Wei, Kun Wang, Wenhan Yang, Dacheng Tao, Xudong Jiang
2025	A*	`conf`	Contextual Bandits for Unbounded Context Distributions. ICML Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng
2025	J	`jnl`	Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives. CoRR Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao
2025	J	`jnl`	Graph convolutional network for traffic incidents duration classification. Eng. Appl. Artif. Intell. Lyuyi Zhu, Qixin Zhang, Xiangru Jian, Yu Yang
2025	J	`jnl`	GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks. CoRR Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Joao Monteiro, Qiuzhuang Sun, Tianshu Yu
2025	J	`jnl`	Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillation. CoRR Shuhan Ye, Yi Yu, Qixin Zhang, Chenqi Kong, Qiangqiang Wu, Kun Wang, Xudong Jiang
2025	J	`jnl`	MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on Large Language Models. CoRR Yan Sun, Qixin Zhang, Zhiyuan Yu, Xikun Zhang, Li Shen, Dacheng Tao
2025	A*	`conf`	Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints. ICML Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao
2025	A*	`conf`	Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency. ICLR Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao
2025	J	`jnl`	Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency. CoRR Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao
2025	A*	`conf`	Refining Adaptive Zeroth-Order Optimization at Ease. ICML Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai
2025	J	`jnl`	Refining Adaptive Zeroth-Order Optimization at Ease. CoRR Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai
2025	J	`jnl`	Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks. CoRR Shuhan Ye, Yi Yu, Qixin Zhang, Chenqi Kong, Qiangqiang Wu, Xudong Jiang, Dacheng Tao
2025	J	`jnl`	Sparsity-Controllable Dynamic Top-p MoE for Large Foundation Model Pre-training. CoRR Can Jin, Hongwu Peng, Mingcan Xiang, Qixin Zhang, Xiangchi Yuan, Amit Hasan, Ohiremen Dibua, Yifan Gong, Yan Kang, Dimitris N. Metaxas
2025	J	`jnl`	Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning. CoRR Can Jin, Hongwu Peng, Qixin Zhang, Yujin Tang, Dimitris N. Metaxas, Tong Che
2025	J	`jnl`	When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models. CoRR Hui Lu, Yi Yu, Yiming Yang, Chenyu Yi, Qixin Zhang, Bingquan Shen, Alex C. Kot, Xudong Jiang
2025	J	`jnl`	Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS. CoRR Can Jin, Yang Zhou, Qixin Zhang, Hongwu Peng, Di Zhang, Marco Pavone, Ligong Han, Zhang-Wei Hong, Tong Che, Dimitris N. Metaxas
2024	J	`jnl`	Boosting Gradient Ascent for Continuous DR-submodular Maximization. CoRR Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang
2024	J	`jnl`	Dynamic Assortment Selection Under Inventory and Limited Switches Constraints. IEEE Trans. Knowl. Data Eng. Hongbin Zhang, Qixin Zhang, Feng Wu, Yu Yang
2023	A	`conf`	Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CIKM Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang
2023	A*	`conf`	Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests. ICML Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang
2023	A	`conf`	Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback. AISTATS Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang
2022	J	`jnl`	Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CoRR Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang
2022	J	`jnl`	Continuous Submodular Maximization: Boosting via Non-oblivious Function. CoRR Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang
2022	J	`jnl`	MNL-Bandits under Inventory and Limited Switches Constraints. CoRR Hongbin Zhang, Yu Yang, Feng Wu, Qixin Zhang
2022	J	`jnl`	Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback. CoRR Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang
2022	A*	`conf`	Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. ICML Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang
2021	J	`jnl`	Online Allocation with Two-sided Resource Constraints. CoRR Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yang Yu
2021	A*	`conf`	Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng
2021	J	`jnl`	Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng