Kaiwen Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
20
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation. | Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia |
| 2026 | AAAI | SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation. | Wei Li, Renshan Zhang, Rui Shao, Zhijian Fang, Kaiwen Zhou, Zhuotao Tian, Liqiang Nie |
| 2026 | AAAI | A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators. | Mingming Zhao, Xiaokang Wei, Yuanqi Shao, Kaiwen Zhou, Lin Yang, Siwei Rao, Junhui Zhan, Zhitang Chen |
| 2026 | EACL | SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning. | Kaiwen Zhou, Ahmed Elgohary, A S. M. Iftekhar, Amin Saied |
| 2025 | ACL | GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. | Bin Xie, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Jie Liu, Min Zhang, Liqiang Nie |
| 2025 | DAC | DyREM: Dynamically Mitigating Quantum Readout Error with Embedded Accelerator. | Kaiwen Zhou, Liqiang Lu, Hanyu Zhang, Debin Xiang, Chenning Tao, Xinkui Zhao, Size Zheng, Jianwei Yin |
| 2025 | EMNLP | SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning. | Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, Gaowen Liu, Aosong Feng, Dawn Song, Xin Eric Wang |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Multimodal Situational Safety. | Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Eric Wang |
| 2025 | IJCNLP | 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 |
| 2025 | ISCA | Qtenon: Towards Low-Latency Architecture Integration for Accelerating Hybrid Quantum-Classical Computing. | Chenning Tao, Liqiang Lu, Size Zheng, Li-Wen Chang, Minghua Shen, Hanyu Zhang, Fangxin Liu, Kaiwen Zhou, Jianwei Yin |
| 2025 | ISCA | ARTERY: Fast Quantum Feedback using Branch Prediction. | Wuwei Tian, Liqiang Lu, Siwei Tan, Yun Liang, Tingting Li, Kaiwen Zhou, Xinghui Jia, Jianwei Yin |
| 2025 | MICRO | Vegapunk: Accurate and Fast Decoding for Quantum LDPC Codes with Online Hierarchical Algorithm and Sparse Accelerator. | Kaiwen Zhou, Liqiang Lu, Debin Xiang, Chenning Tao, Anbang Wu, Jingwen Leng, Fangxin Liu, Mingshuai Chen, Jianwei Yin |
| 2025 | NeSy | 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 |
| 2024 | AAAI | Enhancing Evolving Domain Generalization through Dynamic Latent Representations. | Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng |
| 2024 | ACL | 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 |
| 2024 | ACL | ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models. | Kaiwen Zhou, Kwonjoon Lee, Teruhisa Misu, Xin Wang |
| 2024 | ICLR | 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 |
| 2024 | NAACL | Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. | Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang |
| 2023 | ICASSP | A Novel Extrapolation Technique to Accelerate WMMSE. | Kaiwen Zhou, Zhilin Chen, Guochen Liu, Zhitang Chen |
| 2023 | ICLR | 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, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng |
| 2023 | ICML | 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 |
| 2022 | AISTATS | Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums. | Kaiwen Zhou, Lai Tian, Anthony Man-Cho So, James Cheng |
| 2022 | ECCV | FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation. | Kaiwen Zhou, Xin Eric Wang |
| 2022 | ICML | 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 |
| 2022 | ICML | On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions. | Lai Tian, Kaiwen Zhou, Anthony Man-Cho So |
| 2020 | IJCAI | Tight Convergence Rate of Gradient Descent for Eigenvalue Computation. | Qinghua Ding, Kaiwen Zhou, James Cheng |
| 2020 | SIGIR | Convolutional Embedding for Edit Distance. | Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng |
| 2020 | UAI | Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning. | Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng |
| 2019 | AISTATS | Direct Acceleration of SAGA using Sampled Negative Momentum. | Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo |
| 2018 | ACML | ASVRG: Accelerated Proximal SVRG. | Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin |
| 2018 | AISTATS | Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. | Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida |
| 2018 | ICML | A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. | Kaiwen Zhou, Fanhua Shang, James Cheng |