Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. - Sambit Ghadai; Xian Yeow Lee; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (CoRR, 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-Level 3D CNN for Learning Multi-Scale Spatial Features. - Sambit Ghadai; Xian Yeow Lee; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (CVPR Workshops, 2019)

Learning to Cope with Adversarial Attacks. - Xian Yeow Lee; Aaron J. Havens; Girish Chowdhary 001; Soumik Sarkar (CoRR, 2019)

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. - Xian Yeow Lee; Sambit Ghadai; Kai Liang Tan; Chinmay Hegde; Soumik Sarkar (AAAI, 2020)

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. - Kai Liang Tan; Yasaman Esfandiari; Xian Yeow Lee; Aakanksha; Soumik Sarkar (ACC, 2020)

Query-based targeted action-space adversarial policies on deep reinforcement learning agents. - Xian Yeow Lee; Yasaman Esfandiari; Kai Liang Tan; Soumik Sarkar (ICCPS, 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 001; Isabelle Guyon; Joël Roman Ky; Xian Yeow Lee; Xin Liu; Felix Mohr; et al. (NeurIPS (Competition and Demos), 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)

A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems. - Xian Yeow Lee; Soumik Sarkar; Yubo Wang (CoRR, 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)

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 (AAAI, 2022)

Distributed Online Non-convex Optimization with Composite Regret. - Zhanhong Jiang; Aditya Balu; Xian Yeow Lee; Young M. Lee; Chinmay Hegde; Soumik Sarkar (Allerton, 2022)

Stochastic Conservative Contextual Linear Bandits. - Jiabin Lin; Xian Yeow Lee; Talukder Z. Jubery; Shana Moothedath; Soumik Sarkar; Baskar Ganapathysubramanian (CDC, 2022)

PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. - Ting-Han Fan; Xian Yeow Lee; Yubo Wang (L4DC, 2022)

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 001 (CVPR Workshops, 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 001 (ICPHM, 2023)

Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data. - Xian Yeow Lee; Haiyan Wang 003; Daisuke Katsumata; Takaharu Matsui; Chetan Gupta 001 (IEEE Big Data, 2024)

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems. - Xian Yeow Lee; Haiyan Wang 003; Daisuke Katsumata; Takaharu Matsui; Chetan Gupta 001 (CogMI, 2024)

A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. - Qisai Liu; Xian Yeow Lee; Soumik Sarkar (AI Open, 2024)