Xian Yeow Lee - RankMe

35 papers A* 3B 1C 1Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Building Domain-Specific Small Language Models via Guided Data Generation. AAAI Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025	J	`jnl`	A Hierarchical Agentic Framework for Autonomous Drone-Based Visual Inspection. CoRR Ethan Herron, Xian Yeow Lee, Gregory Sin, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Chetan Gupta
2025	J	`jnl`	Building Domain-Specific Small Language Models via Guided Data Generation. CoRR Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025	J	`jnl`	Exploring LLM-based Frameworks for Fault Diagnosis. CoRR Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Chetan Gupta
2025	J	`jnl`	Weakly-supervised Latent Models for Task-specific Visual-Language Control. CoRR Xian Yeow Lee, Lasitha Vidyaratne, Gregory Sin, Ahmed K. Farahat, Chetan Gupta
2024	J	`jnl`	A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. AI Open Qisai Liu, Xian Yeow Lee, Soumik Sarkar
2024	B	`conf`	Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data. IEEE Big Data Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2024	J	`jnl`	Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data. CoRR Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2024	—	`conf`	Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems. CogMI Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2024	J	`jnl`	Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems. CoRR Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2023	—	`conf`	An ensemble of convolution-based methods for fault detection using vibration signals. ICPHM Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
2023	J	`jnl`	An ensemble of convolution-based methods for fault detection using vibration signals. CoRR Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
2023	—	`conf`	XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. CVPR Workshops Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta
2022	—	`conf`	Distributed Online Non-convex Optimization with Composite Regret. Allerton Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	Distributed Online Non-convex Optimization with Composite Regret. CoRR Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	A*	`conf`	MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	—	`conf`	PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. L4DC Ting-Han Fan, Xian Yeow Lee, Yubo Wang
2022	—	`conf`	Stochastic Conservative Contextual Linear Bandits. CDC Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
2022	J	`jnl`	Stochastic Conservative Contextual Linear Bandits. CoRR Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
2021	J	`jnl`	A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems. CoRR Xian Yeow Lee, Soumik Sarkar, Yubo Wang
2021	J	`jnl`	Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar
2021	J	`jnl`	MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. Comput. Aided Geom. Des. Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2021	—	`conf`	NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. CoRR Ting-Han Fan, Xian Yeow Lee, Yubo Wang
2021	—	`conf`	Query-based targeted action-space adversarial policies on deep reinforcement learning agents. ICCPS Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar
2020	J	`jnl`	Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents. CoRR Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar
2020	C	`conf`	Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. ACC Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar
2020	J	`jnl`	Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. CoRR Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar
2020	A*	`conf`	Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. AAAI Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
2019	J	`jnl`	Learning to Cope with Adversarial Attacks. CoRR Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar
2019	—	`conf`	Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. CVPR Workshops Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2019	J	`jnl`	Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. CoRR Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
2018	J	`jnl`	Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar
2018	J	`jnl`	Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. CoRR Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy