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2020 – today
- 2024
[j3]Qisai Liu, Xian Yeow Lee
, Soumik Sarkar:
A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. AI Open 5: 126-141 (2024)- [i13]Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta:
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems. CoRR abs/2409.18435 (2024) - 2023
- [c11]Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta:
XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. CVPR Workshops 2023: 4375-4384 - [c10]Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta:
An ensemble of convolution-based methods for fault detection using vibration signals. ICPHM 2023: 172-179 - [i12]Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta:
An ensemble of convolution-based methods for fault detection using vibration signals. CoRR abs/2305.05532 (2023) - 2022
- [c9]Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI 2022: 9377-9385 - [c8]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. Allerton 2022: 1-8 - [c7]Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian:
Stochastic Conservative Contextual Linear Bandits. CDC 2022: 7321-7326 - [c6]Ting-Han Fan, Xian Yeow Lee, Yubo Wang:
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. L4DC 2022: 21-33 - [i11]Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian:
Stochastic Conservative Contextual Linear Bandits. CoRR abs/2203.15629 (2022) - [i10]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. CoRR abs/2209.10105 (2022) - 2021
- [j2]Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. Comput. Aided Geom. Des. 91: 102038 (2021) - [j1]Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar:
Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. 1(3): 229-238 (2021) - [c5]Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar:
Query-based targeted action-space adversarial policies on deep reinforcement learning agents. ICCPS 2021: 87-97 - [c4]Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin:
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 2021: 50-72 - [i9]Ting-Han Fan, Xian Yeow Lee, Yubo Wang:
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. CoRR abs/2109.03970 (2021) - [i8]Xian Yeow Lee, Soumik Sarkar, Yubo Wang:
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems. CoRR abs/2109.12073 (2021) - [i7]Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR abs/2112.02813 (2021) - 2020
- [c3]Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. AAAI 2020: 4577-4584 - [c2]Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar:
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. ACC 2020: 3959-3964 - [i6]Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar:
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. CoRR abs/2007.07176 (2020) - [i5]Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar:
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents. CoRR abs/2011.07114 (2020)
2010 – 2019
- 2019
- [c1]Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. CVPR Workshops 2019: 1152-1156 - [i4]Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar:
Learning to Cope with Adversarial Attacks. CoRR abs/1906.12061 (2019) - [i3]Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. CoRR abs/1909.02583 (2019) - 2018
- [i2]Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. CoRR abs/1805.12254 (2018) - [i1]Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar:
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR abs/1811.12444 (2018)
Coauthor Index
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