Zhou, Kaiwen

27 publications

ICCV 2025 FALCON: Resolving Visual Redundancy and Fragmentation in High-Resolution Multimodal Large Language Models via Visual Registers Renshan Zhang, Rui Shao, Gongwei Chen, Miao Zhang, Kaiwen Zhou, Weili Guan, Liqiang Nie

NeurIPS 2025 GUI-G1: Understanding R1-Zero-like Training for Visual Grounding in GUI Agents Yuqi Zhou, Sunhao Dai, Shuai Wang, Kaiwen Zhou, Qinglin Jia, Jun Xu

ICCV 2025 Less Is More: Empowering GUI Agent with Context-Aware Simplification Gongwei Chen, Xurui Zhou, Rui Shao, Yibo Lyu, Kaiwen Zhou, Shuai Wang, Wentao Li, Yinchuan Li, Zhongang Qi, Liqiang Nie

ICLR 2025 Multimodal Situational Safety Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Eric Wang

ICLR 2025 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao

MLJ 2024 Efficient Private SCO for Heavy-Tailed Data via Averaged Clipping Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Tieyong Zeng

AAAI 2024 Enhancing Evolving Domain Generalization Through Dynamic Latent Representations Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng

ICLR 2024 Enhancing Neural Subset Selection: Integrating Background Information into Set Representations Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng

NeurIPS 2024 HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng

NeurIPSW 2024 Multimodal Situational Safety Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Xin Eric Wang

NeurIPS 2024 RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu

NeurIPS 2023 Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng

ICML 2023 ESC: Exploration with Soft Commonsense Constraints for Zero-Shot Object Navigation Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang

ICLR 2023 Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Ma Kaili, Han Yang, Peilin Zhao, Bo Han, James Cheng

NeurIPS 2023 Understanding and Improving Feature Learning for Out-of-Distribution Generalization Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng

AISTATS 2022 Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng

NeurIPSW 2022 Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization Kaiwen Zhou, Anthony Man-Cho So, James Cheng

ICML 2022 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng

ECCV 2022 FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation Kaiwen Zhou, Xin Eric Wang

ICML 2022 On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions Lai Tian, Kaiwen Zhou, Anthony Man-Cho So

UAI 2020 Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep Learning Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng

NeurIPS 2020 Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates Kaiwen Zhou, Anthony Man-Cho So, James Cheng

IJCAI 2020 Tight Convergence Rate of Gradient Descent for Eigenvalue Computation Qinghua Ding, Kaiwen Zhou, James Cheng

AISTATS 2019 Direct Acceleration of SAGA Using Sampled Negative Momentum Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo

ICML 2018 A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates Kaiwen Zhou, Fanhua Shang, James Cheng

ACML 2018 ASVRG: Accelerated Proximal SVRG Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin

AISTATS 2018 Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida