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Kaiwen Wang
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2020 – today
- 2024
- [j10]Hang Shu
, Kaiwen Wang
Automated collection of facial temperatures in dairy cows via improved UNet. Comput. Electron. Agric. 220: 108614 (2024) - [j9]Kaiwen Wang, Lammert Kooistra, Ruoxi Pan, Wensheng Wang, João Valente
UAV-based simultaneous localization and mapping in outdoor environments: A systematic scoping review. J. Field Robotics 41(5): 1617-1642 (2024) - [j8]Xuefeng Jiang
Open-Circuit Fault Diagnosis Strategy for Novel DFPMM Drive Based on Fuzzy Logic. IEEE Trans. Ind. Electron. 71(7): 6753-6763 (2024) - [c18]Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Kumar Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent:
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. EMNLP (Findings) 2024: 2153-2186 - [c17]Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári:
Switching the Loss Reduces the Cost in Batch Reinforcement Learning. ICML 2024 - [c16]Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun:
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning. ICML 2024 - [c15]Junxiong Wang, Kaiwen Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun:
JoinGym: An Efficient Join Order Selection Environment. RLC 2024: 64-91 - [i21]Kaiwen Wang, Owen Oertell, Alekh Agarwal, Nathan Kallus, Wen Sun:
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning. CoRR abs/2402.07198 (2024) - [i20]Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári:
Switching the Loss Reduces the Cost in Batch Reinforcement Learning. CoRR abs/2403.05385 (2024) - [i19]Kaiwen Wang, Dawen Liang, Nathan Kallus, Wen Sun:
Risk-Sensitive RL with Optimized Certainty Equivalents via Reduction to Standard RL. CoRR abs/2403.06323 (2024) - [i18]Kaiwen Wang, Yinzhe Shen, Martin Lauer:
Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions. CoRR abs/2403.15786 (2024) - [i17]Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang:
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. CoRR abs/2404.00099 (2024) - [i16]Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent:
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning. CoRR abs/2407.15762 (2024) - [i15]Kaiwen Wang, Yinzhe Shen, Martin Lauer:
Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection. CoRR abs/2408.09431 (2024) - [i14]Kaiwen Wang, Nathan Kallus, Wen Sun:
The Central Role of the Loss Function in Reinforcement Learning. CoRR abs/2409.12799 (2024) - [i13]Yanwei Gong, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Junchao Fan, Kaiwen Wang:
Towards Lightweight and Privacy-preserving Data Provision in Digital Forensics for Driverless Taxi. CoRR abs/2409.14039 (2024) - 2023
- [j7]Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue
Partitioned Active Learning for Heterogeneous Systems. J. Comput. Inf. Sci. Eng. 23(4) (2023) - [j6]Zheng Li
Development and Analysis of Multi-Degree-of-Freedom Piezoelectric Actuator Based on Elephant Trunk Structure. Sensors 23(14): 6264 (2023) - [j5]Jiankang Ren
REORDER++: Enhanced Randomized Real-Time Scheduling Strategy Against Side-Channel Attacks. IEEE Trans. Netw. Sci. Eng. 10(6): 3253-3266 (2023) - [c14]Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang:
Provable Benefits of Representational Transfer in Reinforcement Learning. COLT 2023: 2114-2187 - [c13]Bo Yang, Kaiwen Wang, Xiaodan Zhan, Siyu Chen, Zhen Liu:
Experience Economy and Green Economy Research in China: A 30-Year Bibliometric Analysis. HCI (20) 2023: 406-424 - [c12]Peng Wei, Wei Feng, Kaiwen Wang, Yunfei Chen, Ning Ge:
Task Offloading in MEC-Aided Satellite-Terrestrial Networks: A Reinforcement Learning Approach. ICC 2023: 710-715 - [c11]Kaiwen Wang, Nathan Kallus, Wen Sun:
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR. ICML 2023: 35864-35907 - [c10]Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun:
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning. NeurIPS 2023 - [i12]Kaiwen Wang, Nathan Kallus, Wen Sun:
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR. CoRR abs/2302.03201 (2023) - [i11]Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun:
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning. CoRR abs/2305.15703 (2023) - [i10]Kaiwen Wang, Junxiong Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun:
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning. CoRR abs/2307.11704 (2023) - 2022
- [j4]Alireza Sepahvand
Evaluation of deep machine learning-based models of soil cumulative infiltration. Earth Sci. Informatics 15(3): 1861-1877 (2022) - [j3]Ze Zhang, Woo Yong Chang
Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse. Nat. Mach. Intell. 4(6): 596-604 (2022) - [c9]Jonathan D. Chang, Kaiwen Wang, Nathan Kallus, Wen Sun:
Learning Bellman Complete Representations for Offline Policy Evaluation. ICML 2022: 2938-2971 - [c8]Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou:
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning. ICML 2022: 10598-10632 - [c7]Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, Zheng Li, Volodymyr Kuleshov:
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies. NeurIPS 2022 - [i9]Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou:
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning. CoRR abs/2202.09667 (2022) - [i8]Alekh Agarwal, Yuda Song
Provable Benefits of Representational Transfer in Reinforcement Learning. CoRR abs/2205.14571 (2022) - [i7]Jonathan D. Chang, Kaiwen Wang, Nathan Kallus, Wen Sun:
Learning Bellman Complete Representations for Offline Policy Evaluation. CoRR abs/2207.05837 (2022) - 2021
- [j2]Alicja Piotrkowicz
Data-driven Exploration of Engagement with Workplace-based Assessment in the Clinical Skills Domain. Int. J. Artif. Intell. Educ. 31(4): 1022-1052 (2021) - [c6]Kaiwen Wang:
The Impact of an Exchange Rate Depreciation on China's Exports. ICIBE 2021: 142-146 - [i6]Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue:
Partitioned Active Learning for Heterogeneous Systems. CoRR abs/2105.08547 (2021) - 2020
- [c5]Hui Wang, Kaiwen Wang, Haiyang Qiu, Pengfei Zhi, Yu Li, Wei Chen:
An Adaptive Reduced Method for Wind Direction Retrieval from X-Band Marine Radar Images. INDIN 2020: 801-806 - [i5]Yinan Wang, Kaiwen Wang, Wenjun Cai, Xiaowei Yue:
NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis. CoRR abs/2012.06914 (2020) - [i4]Kaiwen Wang, Travis Dick, Maria-Florina Balcan:
Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning. CoRR abs/2012.10602 (2020)
2010 – 2019
- 2019
- [j1]Ran Li, Xiangrui Zeng
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN. BMC Bioinform. 20-S(3): 75-85 (2019) - 2018
- [c4]Bo Zhou, Qiang Guo, Kaiwen Wang, Xiangrui Zeng, Xin Gao
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. BIBM 2018: 2467-2473 - [c3]Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. BMVC 2018: 130 - [c2]Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu:
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. BMVC 2018: 271 - [c1]Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu:
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. MICCAI (1) 2018: 485-492 - [i3]Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. CoRR abs/1805.04634 (2018) - [i2]Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu:
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. CoRR abs/1805.06332 (2018) - [i1]Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu:
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. CoRR abs/1806.00102 (2018)
Coauthor Index
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last updated on 2024-11-15 19:28 CET by the dblp team
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