Kaiwen Zhou - RankMe

67 papers A* 18A 4C 1Misc 1Journal 42Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators. AAAI Mingming Zhao, Xiaokang Wei, Yuanqi Shao, Kaiwen Zhou, Lin Yang, Siwei Rao, Junhui Zhan, Zhitang Chen
2026	A*	`conf`	Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation. AAAI Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2026	J	`jnl`	HATS: Hardness-Aware Trajectory Synthesis for GUI Agents. CoRR Rui Shao, Ruize Gao, Bin Xie, Yixing Li, Kaiwen Zhou, Shuai Wang, Weili Guan, Gongwei Chen
2026	A*	`conf`	SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation. AAAI Wei Li, Renshan Zhang, Rui Shao, ZhiJian Fang, Kaiwen Zhou, Zhuotao Tian, Liqiang Nie
2025	J	`jnl`	A CoRR Mingming Zhao, Xiaokang Wei, Yuanqi Shao, Kaiwen Zhou, Lin Yang, Siwei Rao, Junhui Zhan, Zhitang Chen
2025	J	`jnl`	Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling. CoRR Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2025	J	`jnl`	Consistency Flow Model Achieves One-step Denoising Error Correction Codes. CoRR Haoyu Lei, Chin Wa Lau, Kaiwen Zhou, Nian Guo, Farzan Farnia
2025	J	`jnl`	FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers. CoRR Renshan Zhang, Rui Shao, Gongwei Chen, Kaiwen Zhou, Weili Guan, Liqiang Nie
2025	J	`jnl`	GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents. CoRR Yuqi Zhou, Sunhao Dai, Shuai Wang, Kaiwen Zhou, Qinglin Jia, Jun Xu
2025	—	`conf`	GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. ACL (1) Bin Xie, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Jie Liu, Min Zhang, Liqiang Nie
2025	J	`jnl`	GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. CoRR Bin Xie, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Jie Liu, Min Zhang, Liqiang Nie
2025	J	`jnl`	Generative Models in Decision Making: A Survey. CoRR Yinchuan Li, Xinyu Shao, Jianping Zhang, Haozhi Wang, Leo Maxime Brunswic, Kaiwen Zhou, Jiqian Dong, Kaiyang Guo, Xiu Li, Zhitang Chen, Jun Wang, Jianye Hao
2025	J	`jnl`	HiconAgent: History Context-aware Policy Optimization for GUI Agents. CoRR Xurui Zhou, Gongwei Chen, Yuquan Xie, Zaijing Li, Kaiwen Zhou, Shuai Wang, Shuo Yang, Zhuotao Tian, Rui Shao
2025	J	`jnl`	Less is More: Empowering GUI Agent with Context-Aware Simplification. CoRR Gongwei Chen, Xurui Zhou, Rui Shao, Yibo Lyu, Kaiwen Zhou, Shuai Wang, Wentao Li, Yinchuan Li, Zhongang Qi, Liqiang Nie
2025	A*	`conf`	MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models. ACM Multimedia Garry Yang, Zizhe Chen, Man Hon Wong, Haoyu Lei, Yongqiang Chen, Zhenguo Li, Kaiwen Zhou, James Cheng
2025	J	`jnl`	MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models. CoRR Garry Yang, Zizhe Chen, Man Hon Wong, Haoyu Lei, Yongqiang Chen, Zhenguo Li, Kaiwen Zhou, James Cheng
2025	J	`jnl`	Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills. CoRR Yuquan Xie, Zaijing Li, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Dongmei Jiang, Liqiang Nie
2025	J	`jnl`	More than A Point: Capturing Uncertainty with Adaptive Affordance Heatmaps for Spatial Grounding in Robotic Tasks. CoRR Xinyu Shao, Yanzhe Tang, Pengwei Xie, Kaiwen Zhou, Yuzheng Zhuang, Xingyue Quan, Jianye Hao, Long Zeng, Xiu Li
2025	J	`jnl`	SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation. CoRR Wei Li, Renshan Zhang, Rui Shao, ZhiJian Fang, Kaiwen Zhou, Zhuotao Tian, Liqiang Nie
2025	A*	`conf`	Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. ICLR 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
2025	J	`jnl`	Uncertainty-Aware GUI Agent: Adaptive Perception through Component Recommendation and Human-in-the-Loop Refinement. CoRR Chao Hao, Shuai Wang, Kaiwen Zhou
2025	J	`jnl`	VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT. CoRR Zhuo Zhi, Qiangqiang Wu, Minghe shen, Wenbo Li, Yinchuan Li, Kun Shao, Kaiwen Zhou
2024	J	`jnl`	Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration. CoRR Haoze Sun, Wenbo Li, Jiayue Liu, Kaiwen Zhou, Yongqiang Chen, Yong Guo, Yanwei Li, Renjing Pei, Long Peng, Yujiu Yang
2024	J	`jnl`	Efficient private SCO for heavy-tailed data via averaged clipping. Mach. Learn. Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Tieyong Zeng
2024	A*	`conf`	Enhancing Evolving Domain Generalization through Dynamic Latent Representations. AAAI Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng
2024	J	`jnl`	Enhancing Evolving Domain Generalization through Dynamic Latent Representations. CoRR Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng
2024	A*	`conf`	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. ICLR Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
2024	J	`jnl`	Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. CoRR Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
2024	A*	`conf`	HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection. NeurIPS Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng
2024	A*	`conf`	RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models. NeurIPS Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu
2024	J	`jnl`	RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models. CoRR Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu
2024	J	`jnl`	SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation. CoRR 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
2023	Misc	`conf`	A Novel Extrapolation Technique to Accelerate WMMSE. ICASSP Kaiwen Zhou, Zhilin Chen, Guochen Liu, Zhitang Chen
2023	A*	`conf`	Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
2023	J	`jnl`	Does Invariant Graph Learning via Environment Augmentation Learn Invariance? CoRR Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
2023	A*	`conf`	Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
2023	J	`jnl`	Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes. CoRR Yongqiang Chen, Binghui Xie, Kaiwen Zhou, Bo Han, Yatao Bian, James Cheng
2023	J	`jnl`	Towards Understanding Feature Learning in Out-of-Distribution Generalization. CoRR Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
2023	A*	`conf`	Understanding and Improving Feature Learning for Out-of-Distribution Generalization. NeurIPS Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
2022	J	`jnl`	An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms. CoRR Binghui Xie, Chenhan Jin, Kaiwen Zhou, James Cheng, Wei Meng
2022	J	`jnl`	Efficient Private SCO for Heavy-Tailed Data via Clipping. CoRR Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Ming-Chang Yang
2022	A*	`conf`	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. ICML Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
2022	J	`jnl`	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. CoRR Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
2022	A*	`conf`	On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions. ICML Lai Tian, Kaiwen Zhou, Anthony Man-Cho So
2022	J	`jnl`	Pareto Invariant Risk Minimization. CoRR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng
2022	A	`conf`	Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. AISTATS Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
2021	J	`jnl`	Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization. CoRR Kaiwen Zhou, Anthony Man-Cho So, James Cheng
2021	J	`jnl`	Local Reweighting for Adversarial Training. CoRR Ruize Gao, Feng Liu, Kaiwen Zhou, Gang Niu, Bo Han, James Cheng
2021	J	`jnl`	Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. CoRR Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng
2020	A	`conf`	Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning. UAI Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng
2020	A*	`conf`	Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates. NeurIPS Kaiwen Zhou, Anthony Man-Cho So, James Cheng
2020	J	`jnl`	Boosting First-order Methods by Shifting Objective: New Schemes with Faster Worst Case Rates. CoRR Kaiwen Zhou, Anthony Man-Cho So, James Cheng
2020	A*	`conf`	Convolutional Embedding for Edit Distance. SIGIR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
2020	J	`jnl`	Edit Distance Embedding using Convolutional Neural Networks. CoRR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
2020	A*	`conf`	Tight Convergence Rate of Gradient Descent for Eigenvalue Computation. IJCAI Qinghua Ding, Kaiwen Zhou, James Cheng
2020	J	`jnl`	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. IEEE Trans. Knowl. Data Eng. Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao
2019	A	`conf`	Direct Acceleration of SAGA using Sampled Negative Momentum. AISTATS Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo
2019	J	`jnl`	Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. CoRR Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan
2018	A*	`conf`	A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. ICML Kaiwen Zhou, Fanhua Shang, James Cheng
2018	J	`jnl`	A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. CoRR Kaiwen Zhou, Fanhua Shang, James Cheng
2018	C	`conf`	ASVRG: Accelerated Proximal SVRG. ACML Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin
2018	J	`jnl`	ASVRG: Accelerated Proximal SVRG. CoRR Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin
2018	J	`jnl`	Direct Acceleration of SAGA using Sampled Negative Momentum. CoRR Kaiwen Zhou
2018	A	`conf`	Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. AISTATS Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
2018	J	`jnl`	Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. CoRR Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
2018	J	`jnl`	Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS). CoRR Xiao Yan, Xinyan Dai, Jie Liu, Kaiwen Zhou, James Cheng
2018	J	`jnl`	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. CoRR Fanhua Shang, Kaiwen Zhou, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao