ASVRG: Accelerated Proximal SVRG. - Fanhua Shang; Licheng Jiao; Kaiwen Zhou; James Cheng; Yan Ren 002; Yufei Jin (ACML, 2018)

Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. - Fanhua Shang; Yuanyuan Liu 001; Kaiwen Zhou; James Cheng; Kelvin Kai Wing Ng; Yuichi Yoshida (AISTATS, 2018)

A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. - Kaiwen Zhou; Fanhua Shang; James Cheng (ICML, 2018)

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. - Fanhua Shang; Kaiwen Zhou; James Cheng; Ivor W. Tsang; Lijun Zhang 005; Dacheng Tao (CoRR, 2018)

Direct Acceleration of SAGA using Sampled Negative Momentum. - Kaiwen Zhou (CoRR, 2018)

Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS). - Xiao Yan 002; Xinyan Dai; Jie Liu 048; Kaiwen Zhou; James Cheng (CoRR, 2018)

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

Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning. - Xinyan Dai; Xiao Yan 002; Kaiwen Zhou; Han Yang 002; Kelvin Kai Wing Ng; James Cheng; Yu Fan (CoRR, 2019)

Tight Convergence Rate of Gradient Descent for Eigenvalue Computation. - Qinghua Ding; Kaiwen Zhou; James Cheng (IJCAI, 2020)

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

Convolutional Embedding for Edit Distance. - Xinyan Dai; Xiao Yan 002; Kaiwen Zhou; Yuxuan Wang; Han Yang 002; James Cheng (SIGIR, 2020)

Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning. - Kaiwen Zhou; Yanghua Jin; Qinghua Ding; James Cheng (UAI, 2020)

Edit Distance Embedding using Convolutional Neural Networks. - Xinyan Dai; Xiao Yan 002; Kaiwen Zhou; Yuxuan Wang; Han Yang 002; James Cheng (CoRR, 2020)

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. - Fanhua Shang; Kaiwen Zhou; Hongying Liu 001; James Cheng; Ivor W. Tsang; Lijun Zhang 005; Dacheng Tao; Licheng Jiao (IEEE Trans. Knowl. Data Eng., 2020)

Local Reweighting for Adversarial Training. - Ruize Gao; Feng Liu 003; Kaiwen Zhou; Gang Niu 001; Bo Han 003; James Cheng (CoRR, 2021)

Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization. - Kaiwen Zhou; Anthony Man-Cho So; James Cheng (CoRR, 2021)

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

FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation. - Kaiwen Zhou; Xin Eric Wang (ECCV (36), 2022)

Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. - Ruize Gao; Jiongxiao Wang; Kaiwen Zhou; Feng Liu 003; Binghui Xie; Gang Niu 001; Bo Han 003; James Cheng (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 (ICML, 2022)

An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms. - Binghui Xie; Chenhan Jin; Kaiwen Zhou; James Cheng; Wei Meng 001 (CoRR, 2022)

Pareto Invariant Risk Minimization. - Yongqiang Chen 002; Kaiwen Zhou; Yatao Bian; Binghui Xie; Kaili Ma 001; Yonggang Zhang 003; Han Yang 002; Bo Han 003; James Cheng (CoRR, 2022)

Efficient Private SCO for Heavy-Tailed Data via Clipping. - Chenhan Jin; Kaiwen Zhou; Bo Han 003; James Cheng; Ming-Chang Yang (CoRR, 2022)

JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. - Kaizhi Zheng; Kaiwen Zhou; Jing Gu; Yue Fan; Jialu Wang; Zonglin Di; Xuehai He; Xin Eric Wang (CoRR, 2022)

Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning. - Yunchao Zhang; Zonglin Di; Kaiwen Zhou; Cihang Xie; Xin Wang (CoRR, 2022)

A Novel Extrapolation Technique to Accelerate WMMSE. - Kaiwen Zhou; Zhilin Chen; Guochen Liu; Zhitang Chen (ICASSP, 2023)

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. - Yongqiang Chen 002; Kaiwen Zhou; Yatao Bian; Binghui Xie; Bingzhe Wu; Yonggang Zhang 003; Kaili Ma 001; Han Yang 002; Peilin Zhao; Bo Han 003; James Cheng (ICLR, 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 (ICML, 2023)

Does Invariant Graph Learning via Environment Augmentation Learn Invariance? - Yongqiang Chen 002; Yatao Bian; Kaiwen Zhou; Binghui Xie; Bo Han 003; James Cheng (NeurIPS, 2023)

Understanding and Improving Feature Learning for Out-of-Distribution Generalization. - Yongqiang Chen 002; Wei Huang; Kaiwen Zhou; Yatao Bian; Bo Han 003; James Cheng (NeurIPS, 2023)

Towards Understanding Feature Learning in Out-of-Distribution Generalization. - Yongqiang Chen 002; Wei Huang; Kaiwen Zhou; Yatao Bian; Bo Han 003; James Cheng (CoRR, 2023)

Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes. - Yongqiang Chen 002; Binghui Xie; Kaiwen Zhou; Bo Han 003; Yatao Bian; James Cheng (CoRR, 2023)

Enhancing Evolving Domain Generalization through Dynamic Latent Representations. - Binghui Xie; Yongqiang Chen 002; Jiaqi Wang 012; Kaiwen Zhou; Bo Han 003; Wei Meng 001; James Cheng (AAAI, 2024)

Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA. - Yue Fan; Jing Gu; Kaiwen Zhou; Qianqi Yan; Shan Jiang; Ching-Chen Kuo; Yang Zhao; Xinze Guan; Xin Wang 061 (ACL (1), 2024)

ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models. - Kaiwen Zhou; Kwonjoon Lee; Teruhisa Misu; Xin Wang 061 (ACL (Findings), 2024)

A 103.6dB-SNDR 760mVPP-Input-Range 7.8GΩ-Input-Impedance Direct-Digitization Sensor Readout with Pseudo-Differential Transconductors and Dummy DAC. - Jianhong Zhou; Yijie Li; Kaiwen Zhou; Yuying Li; Tian Dong; Zhiliang Hong; Jiawei Xu 001 (CICC, 2024)

Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. - Binghui Xie; Yatao Bian; Kaiwen Zhou; Yongqiang Chen 002; Peilin Zhao; Bo Han 003; Wei Meng 001; James Cheng (ICLR, 2024)

21.2 A 0.81mA, -105.2dB THD+N Class-D Audio Amplifier with Capacitive Feedforward and PWM-Aliasing Reduction for Wide-Band-Effective Linearity Improvement. - Kaiwen Zhou; Jianhong Zhou; Yuxiang Tang; Jiahua Li; Zhiliang Hong; Jiawei Xu 001 (ISSCC, 2024)

Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. - Yunchao Zhang; Zonglin Di; Kaiwen Zhou; Cihang Xie; Xin Wang (NAACL-HLT, 2024)

RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models. - Haoyu Chen 003; Wenbo Li 002; Jinjin Gu; Jingjing Ren; Sixiang Chen; Tian Ye 001; Renjing Pei; Kaiwen Zhou; Fenglong Song; Lei Zhu 003 (NeurIPS, 2024)

HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection. - Binghui Xie; Yixuan Wang; Yongqiang Chen 002; Kaiwen Zhou; Yu Li; Wei Meng 001; James Cheng (NeurIPS, 2024)

Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA. - Yue Fan; Jing Gu; Kaiwen Zhou; Qianqi Yan; Shan Jiang; Ching-Chen Kuo; Xinze Guan; Xin Eric Wang (CoRR, 2024)

Personalized Interiors at Scale: Leveraging AI for Efficient and Customizable Design Solutions. - Kaiwen Zhou; Tianyu Wang (CoRR, 2024)

Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration. - Haoze Sun; Wenbo Li 002; Jiayue Liu; Kaiwen Zhou; Yongqiang Chen 002; Yong Guo; Yanwei Li; Renjing Pei; Long Peng 003; Yujiu Yang (CoRR, 2024)

A data-driven risk model for maritime casualty analysis: A global perspective. - Kaiwen Zhou; Wenbin Xing; Jingbo Wang; Huanhuan Li 001; Zaili Yang (Reliab. Eng. Syst. Saf., 2024)

Geometric algebra and cosine-function based variable step-size adaptive filtering algorithms. - Khurram Shahzad; Rui Wang 034; Yichen Feng; Kaiwen Zhou (Signal Image Video Process., 2024)

A 0.00055% THD + N Class-D Audio Amplifier With Capacitive Feedforward PWM and Wide-Band Aliasing Reduction. - Kaiwen Zhou; Jianhong Zhou; Yuxiang Tang; Jiahua Li; Zhiliang Hong; Jiawei Xu 001 (IEEE J. Solid State Circuits, 2024)

Efficient private SCO for heavy-tailed data via averaged clipping. - Chenhan Jin; Kaiwen Zhou; Bo Han 003; James Cheng; Tieyong Zeng (Mach. Learn., 2024)

GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. - Bin Xie; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Yinchuan Li; Jie Liu 001; Min Zhang 005; Liqiang Nie (ACL (1), 2025)

A-117.1dB THD Audio Decoder Utilizing Single Vector Quantizer for Simultaneous Mismatch and ISI Shaping. - Yuxiang Tang; Yijie Li; Kaiwen Zhou; Qi Luo; Xining Zhang; Yongda Ma; Zhiliang Hong; Jiawei Xu 001 (CICC, 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 020; Kaiwen Zhou; Rui Shao 001; et al. (ICLR, 2025)

Multimodal Situational Safety. - Kaiwen Zhou; Chengzhi Liu; Xuandong Zhao; Anderson Compalas; Dawn Song; Xin Eric Wang (ICLR, 2025)

Qtenon: Towards Low-Latency Architecture Integration for Accelerating Hybrid Quantum-Classical Computing. - Chenning Tao; Liqiang Lu; Size Zheng 001; Li-Wen Chang; Minghua Shen; Hanyu Zhang; Fangxin Liu; Kaiwen Zhou; Jianwei Yin (ISCA, 2025)

ARTERY: Fast Quantum Feedback using Branch Prediction. - Wuwei Tian; Liqiang Lu; Siwei Tan; Yun Liang 001; Tingting Li 004; Kaiwen Zhou; Xinghui Jia; Jianwei Yin (ISCA, 2025)

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers. - Renshan Zhang; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Weili Guan; Liqiang Nie (CoRR, 2025)

Research on flexible job shop scheduling problem with AGV using double DQN. - Minghai Yuan; Liang Zheng; Hanyu Huang; Kaiwen Zhou; Fengque Pei; Wenbin Gu (J. Intell. Manuf., 2025)

Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling. - Haoyu Lei; Kaiwen Zhou; Yinchuan Li; Zhitang Chen; Farzan Farnia (CoRR, 2025)

The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1. - Kaiwen Zhou; Chengzhi Liu; Xuandong Zhao; Shreedhar Jangam; Jayanth Srinivasa; Gaowen Liu; Dawn Song; Xin Eric Wang (CoRR, 2025)

Generative Models in Decision Making: A Survey. - Yinchuan Li; Xinyu Shao; Jianping Zhang; Haozhi Wang; Leo Maxime Brunswic; Kaiwen Zhou; Jiqian Dong; Kaiyang Guo; Xiu Li 001; Zhitang Chen; Jun Wang 012; Jianye Hao (CoRR, 2025)

VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT. - Zhuo Zhi; Qiangqiang Wu; Minghe shen; Wenbo Li; Yinchuan Li; Kun Shao; Kaiwen Zhou (CoRR, 2025)

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents. - Yuqi Zhou 001; Sunhao Dai; Shuai Wang 020; Kaiwen Zhou; Qinglin Jia; Jun Xu 001 (CoRR, 2025)

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning. - Kaiwen Zhou; Xuandong Zhao; Gaowen Liu; Jayanth Srinivasa; Aosong Feng; Dawn Song; Xin Eric Wang (CoRR, 2025)

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills. - Yuquan Xie; Zaijing Li; Rui Shao 001; Gongwei Chen; Kaiwen Zhou; Yinchuan Li; Dongmei Jiang; Liqiang Nie (CoRR, 2025)

Less is More: Empowering GUI Agent with Context-Aware Simplification. - Gongwei Chen; Xurui Zhou; Rui Shao 001; Yibo Lyu; Kaiwen Zhou; Shuai Wang 020; Wentao Li; Yinchuan Li; Zhongang Qi; Liqiang Nie (CoRR, 2025)

"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models. - Jing Gu; Xian Liu; Yu Zeng 001; Ashwin Nagarajan; Fangrui Zhu; Daniel Hong; Yue Fan; Qianqi Yan; Kaiwen Zhou; Ming-Yu Liu 001; Xin Eric Wang (CoRR, 2025)

Uncertainty-Aware GUI Agent: Adaptive Perception through Component Recommendation and Human-in-the-Loop Refinement. - Chao Hao; Shuai Wang; Kaiwen Zhou (CoRR, 2025)