Xian Yeow Lee

According to our database, Xian Yeow Lee authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems.

Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta

CoRR, 2024

A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations.

Qisai Liu, Xian Yeow Lee, Soumik Sarkar

AI Open, 2024

2023

An ensemble of convolution-based methods for fault detection using vibration signals.

Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection.

Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems.

Ting-Han Fan, Xian Yeow Lee, Yubo Wang

Proceedings of the Learning for Dynamics and Control Conference, 2022

Stochastic Conservative Contextual Linear Bandits.

Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Distributed Online Non-convex Optimization with Composite Regret.

Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

MDPGT: Momentum-Based Decentralized Policy Gradient Tracking.

Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fast inverse design of microstructures via generative invariance networks.

Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar

Nat. Comput. Sci., 2021

A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems.

Xian Yeow Lee, Soumik Sarkar, Yubo Wang

CoRR, 2021

Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Comput. Aided Geom. Des., 2021

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Query-based targeted action-space adversarial policies on deep reinforcement learning agents.

Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar

Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

2020

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training.

Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar

Proceedings of the 2020 American Control Conference, 2020

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents.

Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning to Cope with Adversarial Attacks.

Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar

CoRR, 2019

Multi-Level 3D CNN for Learning Multi-Scale Spatial Features.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning.

Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2018

Multi-Resolution 3D Convolutional Neural Networks for Object Recognition.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2018