Anamorphic fluid: exploring spatial organization and movements of images in a simulated fluid environment. - Jieliang Luo; Donghao Ren; George Legrady (VINCI, 2017)

Reinforcement Learning and Trustworthy Autonomy. - Jieliang Luo; Sam Green; Peter Feghali; George Legrady; Çetin Kaya Koç (Cyber-Physical Systems Security, 2018)

Visual Diagnostics for Deep Reinforcement Learning Policy Development. - Jieliang Luo; Sam Green; Peter Feghali; George Legrady; Çetin Kaya Koç (CoRR, 2018)

Dynamic Experience Replay. - Jieliang Luo; Hui Li (CoRL, 2019)

A Learning Framework for High Precision Industrial Assembly. - Yongxiang Fan; Jieliang Luo; Masayoshi Tomizuka (ICRA, 2019)

Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction. - Karl D. D. Willis; Yewen Pu; Jieliang Luo; Hang Chu; Tao Du 001; Joseph G. Lambourne; Armando Solar-Lezama; Wojciech Matusik (CoRR, 2020)

Recurrent Distributed Reinforcement Learning for Partially Observable Robotic Assembly. - Jieliang Luo; Hui Li (CoRR, 2020)

RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. - Saeid Asgari Taghanaki; Jieliang Luo; Ran Zhang; Ye Wang 008; Pradeep Kumar Jayaraman; Krishna Murthy Jatavallabhula (CoRR, 2020)

Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation. - Kai-Hung Chang; Chin-Yi Cheng; Jieliang Luo; Shingo Murata; Mehdi Nourbakhsh; Yoshito Tsuji (ICCV, 2021)

A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly. - Jieliang Luo; Hui Li (IROS, 2021)

Fusion 360 gallery: a dataset and environment for programmatic CAD construction from human design sequences. - Karl D. D. Willis; Yewen Pu; Jieliang Luo; Hang Chu; Tao Du 001; Joseph G. Lambourne; Armando Solar-Lezama; Wojciech Matusik (ACM Trans. Graph., 2021)

Learning Dense Reward with Temporal Variant Self-Supervision. - Yuning Wu; Jieliang Luo; Hui Li (CoRR, 2022)

Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly. - Yunsheng Tian; Jie Xu 028; Yichen Li 004; Jieliang Luo; Shinjiro Sueda; Hui Li; Karl D. D. Willis; Wojciech Matusik (ACM Trans. Graph., 2022)

A-Scan2BIM: Assistive Scan to Building Information Modeling. - Weilian Song; Jieliang Luo; Dale Zhao; Yan Fu; Chin-Yi Cheng; Yasutaka Furukawa (BMVC, 2023)

Representation Learning for Sequential Volumetric Design Tasks. - Md Ferdous Alam; Yi Wang; Linh Tran; Chin-Yi Cheng; Jieliang Luo (CoRR, 2023)

ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility. - Yunsheng Tian; Karl D. D. Willis; Bassel Al Omari; Jieliang Luo; Pingchuan Ma 002; Yichen Li 004; Farhad Javid; Edward Gu; Joshua Jacob; Shinjiro Sueda; Hui Li; Sachin Chitta; et al. (CoRR, 2023)

Hybrid Reinforcement Learning for Optimizing Pump Sustainability in Real-World Water Distribution Networks. - Harsh Patel; Yuan Zhou; Alexander P. Lamb; Shu Wang; Jieliang Luo (CoRR, 2023)

PlotMap: Automated Layout Design for Building Game Worlds. - Yi Wang; Jieliang Luo; Adam Gaier; Evan Atherton; Hilmar Koch (CoG, 2024)

ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility. - Yunsheng Tian; Karl D. D. Willis; Bassel Al Omari; Jieliang Luo; Pingchuan Ma 004; Yichen Li 004; Farhad Javid; Edward Gu; Joshua Jacob; Shinjiro Sueda; Hui Li; Sachin Chitta; et al. (ICRA, 2024)

ReCollection: Creating synthetic memories with AI in an interactive art installation. - Weidi Zhang; Lijiaozi Cheng; Jieliang Luo (Proc. ACM Comput. Graph. Interact. Tech., 2024)