Kaiwen Wang

According to our database, Kaiwen Wang authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Open-Circuit Fault Diagnosis Strategy for Novel DFPMM Drive Based on Fuzzy Logic.

Xuefeng Jiang, Jingyu Zhou, Kaiwen Wang, Shirui Yang, Zhijian Wei, Jiazheng Liu

IEEE Trans. Ind. Electron., 2024

Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions.

Kaiwen Wang, Yinzhe Shen, Martin Lauer

CoRR, 2024

Risk-Sensitive RL with Optimized Certainty Equivalents via Reduction to Standard RL.

Kaiwen Wang, Dawen Liang, Nathan Kallus, Wen Sun

CoRR, 2024

Switching the Loss Reduces the Cost in Batch Reinforcement Learning.

Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári

CoRR, 2024

More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning.

Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun

CoRR, 2024

2023

Development and Analysis of Multi-Degree-of-Freedom Piezoelectric Actuator Based on Elephant Trunk Structure.

Zheng Li, Kaiwen Wang, Haibo Wang, Xuetong Chen, Xiaoqiang Guo, Hexu Sun

Sensors, July, 2023

REORDER++: Enhanced Randomized Real-Time Scheduling Strategy Against Side-Channel Attacks.

Jiankang Ren, Zheng Wang, Chi Lin, Mohammad S. Obaidat, Hongrui Xie, Haihui Zhu, Chunxiao Liu, Kaiwen Wang, Guozhen Tan

IEEE Trans. Netw. Sci. Eng., 2023

Partitioned Active Learning for Heterogeneous Systems.

Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue

J. Comput. Inf. Sci. Eng., 2023

JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning.

Kaiwen Wang, Junxiong Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun

CoRR, 2023

The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning.

Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR.

Kaiwen Wang, Nathan Kallus, Wen Sun

Proceedings of the International Conference on Machine Learning, 2023

Task Offloading in MEC-Aided Satellite-Terrestrial Networks: A Reinforcement Learning Approach.

Peng Wei, Wei Feng, Kaiwen Wang, Yunfei Chen, Ning Ge

Proceedings of the IEEE International Conference on Communications, 2023

Experience Economy and Green Economy Research in China: A 30-Year Bibliometric Analysis.

Bo Yang, Kaiwen Wang, Xiaodan Zhan, Siyu Chen, Zhen Liu

Proceedings of the Design, User Experience, and Usability, 2023

Provable Benefits of Representational Transfer in Reinforcement Learning.

Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse.

Ze Zhang, Woo Yong Chang, Kaiwen Wang, Yuqiu Yang, Xinlei Wang, Chen Yao, Tuoqi Wu, Li Wang, Tao Wang

Nat. Mach. Intell., 2022

Evaluation of deep machine learning-based models of soil cumulative infiltration.

Alireza Sepahvand, Ali Golkarian, Lawal Billa, Kaiwen Wang, Fatemeh Rezaie, Somayeh Panahi, Saeed Samadianfard, Khabat Khosravi

Earth Sci. Informatics, 2022

Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies.

Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, Zheng Li, Volodymyr Kuleshov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning.

Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou

Proceedings of the International Conference on Machine Learning, 2022

Learning Bellman Complete Representations for Offline Policy Evaluation.

Jonathan D. Chang, Kaiwen Wang, Nathan Kallus, Wen Sun

Proceedings of the International Conference on Machine Learning, 2022

2021

Data-driven Exploration of Engagement with Workplace-based Assessment in the Clinical Skills Domain.

Alicja Piotrkowicz, Kaiwen Wang, Jennifer Hallam, Vania Dimitrova

Int. J. Artif. Intell. Educ., 2021

The Impact of an Exchange Rate Depreciation on China's Exports.

Kaiwen Wang

Proceedings of the ICIBE 2021: The 7th International Conference on Industrial and Business Engineering, Macau, SAR, China, September 27, 2021

2020

Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning.

Kaiwen Wang, Travis Dick, Maria-Florina Balcan

CoRR, 2020

NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis.

Yinan Wang, Kaiwen Wang, Wenjun Cai, Xiaowei Yue

CoRR, 2020

An Adaptive Reduced Method for Wind Direction Retrieval from X-Band Marine Radar Images.

Hui Wang, Kaiwen Wang, Haiyang Qiu, Pengfei Zhi, Yu Li, Wei Chen

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2019

Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.

Ran Li, Xiangrui Zeng, Stephanie E. Sigmund, Ruogu Lin, Bo Zhou, Chang Liu, Kaiwen Wang, Rui Jiang, Zachary Freyberg, Hairong Lv, Min Xu

BMC Bioinform., 2019

2018

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations.

Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching.

Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu

Proceedings of the British Machine Vision Conference 2018, 2018

Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography.

Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu

Proceedings of the British Machine Vision Conference 2018, 2018

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms.

Bo Zhou, Qiang Guo, Kaiwen Wang, Xiangrui Zeng, Xin Gao, Min Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018