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Author

Kaiwen Zhou

Observed name: Zhou, Kaiwen
Institutions: Microsoft (United States), Northeastern University, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Sun Yat-sen University, Chinese University of Hong Kong, University of California, Santa Cruz, Huawei Technologies (China), Université de Lille, Centre de Recherche en Informatique, Signal et Automatique de Lille, Centrale Lille Institut
Observed institutions: Microsoft (United States), Northeastern University, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Sun Yat-sen University, Chinese University of Hong Kong, University of California, Santa Cruz, Huawei Technologies (China), Université de Lille, Heilongjiang Institute of Technology, Centre de Recherche en Informatique, Signal et Automatique de Lille, East China Normal University, Centrale Lille Institut
ORCID: 0009-0006-0779-5450
Observed ORCID: 0009-0006-0779-5450
OpenAlex ID: A5101842986
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
2023 · Zhou, Kaiwen, Zheng, Kaizhi, et al. · arXiv (Cornell University) · 40
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Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
2022 · Chen, Yongqiang, Zhou, Kaiwen, et al. · arXiv (Cornell University) · 15
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Understanding and Improving Feature Learning for Out-of-Distribution Generalization
2023 · Yongqiang Chen, Wei Huang, et al. · neural information processing systems · 13
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JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
2022 · Zheng, Kaizhi, Zhou, Kaiwen, et al. · arXiv (Cornell University) · 13
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Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
2023 · Yongqiang Chen, Yatao Bian, et al. · neural information processing systems · 12
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FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation
2022 · Kaiwen Zhou, Xin Eric Wang · Lecture notes in computer science · 8
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GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
2025 · Yuqi Zhou, Sunhao Dai, et al. · neural information processing systems · 5
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Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
2022 · Gao, Ruize, Wang, Jiongxiao, et al. · arXiv (Cornell University) · 5
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GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent
2025 · Bin Xie, Rui Shao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 4
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Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning
2024 · Yunchao Zhang, Zonglin Di, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 3
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
2021 · Tian, Lai, Zhou, Kaiwen, et al. · arXiv (Cornell University) · 3
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Less is More: Empowering GUI Agent with Context-Aware Simplification
2025 · Gongwei Chen, Xurui Zhou, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 2
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Efficient private SCO for heavy-tailed data via averaged clipping
2024 · Chenhan Jin, Kaiwen Zhou, et al. · Machine Learning · 2
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Personalized Interiors at Scale: Leveraging AI for Efficient and Customizable Design Solutions
2024 · Zhou, Kaiwen, Wang, Tianyu · arXiv (Cornell University) · 2
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Multimodal Situational Safety
2024 · Zhou, Kaiwen, Liu, Chengzhi, et al. · arXiv (Cornell University) · 1
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RSI Control: Can AI Models Perform Covert Sabotage in the Self-Improvement Process?
2026 · Zhou, Kaiwen, Sehwag, Udari Madhushani · arXiv (Cornell University)
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SteadyThought: Mitigating LLM Under-Thinking via Thought-Level Preference Optimization
2026 · Peng, Zhenyue, Yang, Lin, et al. · arXiv (Cornell University)
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Anvil: Scaling Embodied Spatial Intelligence through Knowledge Recirculation
2026 · Ruan, Weilin, Zhou, Bohan, et al. · arXiv (Cornell University)
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AI as the New Paint: A Systematic Review of AI as a Design Material
2026 · Kaiwen Zhou, Janin Koch, et al. · Nordic Conference on Human-Computer Interaction
Confuse the Model, Control the Flow: Understanding and Mitigating Privacy Leakage from LLM Agents with Information Flow Control
2026 · Shim, Minsun, Karim, Ramisha Raida, et al. · arXiv (Cornell University)
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Constructing Synthesizable Evaluations of Technical Interventions to Reduce Wildlife‐Caused Agricultural Losses
2026 · Cheng Huang, Tien Ming Lee, et al. · Integrative Conservation
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Adaptive Bregman Proximal Stochastic Gradient with a Stabilized Barzilai--Borwein Step Size
2026 · Jin, Chenhan, Xu, Shengze, et al. · arXiv (Cornell University)
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Probing the Misaligned Thinking Process of Language Models
2026 · Zhou, Kaiwen, Venhoff, Constantin, et al. · arXiv (Cornell University)
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MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal Models
2026 · Gao, Yuansheng, Xing, Wenbin, et al. · arXiv (Cornell University)
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B-STAR: Behavior-aware Sequential Transformer with Adaptive Representations for Multi-behavior Recommendation
2026 · Kaiwen Zhou, Hongjuan Liu · International Joint Conference on Neural Networks (IJCNN)
Works count: 45
Citation count: 129
H-index: 6
I10-index: 5
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