Optimal functional unit assignment and voltage selection for pipelined MPSoC with guaranteed probability on time performance. - Weiwen Jiang; Edwin Hsing-Mean Sha; Qingfeng Zhuge; Hailiang Dong; Xianzhang Chen (LCTES, 2017)

Towards the design of optimal range assignment for elevator groups under fluctuant traffic loads. - Hailiang Dong; Edwin Hsing-Mean Sha; Weiwen Jiang; Xianzhang Chen; Runyu Zhang 002; Qingfeng Zhuge (RTCSA, 2017)

On the Design of Reliable Heterogeneous Systems via Checkpoint Placement and Core Assignment. - Edwin Hsing-Mean Sha; Hailiang Dong; Weiwen Jiang; Qingfeng Zhuge; Xianzhang Chen; Lei Yang 018 (ACM Great Lakes Symposium on VLSI, 2018)

Towards the Design of Efficient and Consistent Index Structure with Minimal Write Activities for Non-Volatile Memory. - Edwin Hsing-Mean Sha; Weiwen Jiang; Hailiang Dong; Zhulin Ma; Runyu Zhang 002; Xianzhang Chen; Qingfeng Zhuge (IEEE Trans. Computers, 2018)

Extracting Velocity-Based User-Tracking Features to Predict Learning Gains in a Virtual Reality Training Application. - Alec G. Moore; Ryan P. McMahan; Hailiang Dong; Nicholas Ruozzi (ISMAR, 2020)

Dynamic Cutset Networks. - Chiradeep Roy; Tahrima Rahman; Hailiang Dong; Nicholas Ruozzi; Vibhav Gogate (AISTATS, 2021)

Personal Identifiability and Obfuscation of User Tracking Data From VR Training Sessions. - Alec G. Moore; Ryan P. McMahan; Hailiang Dong; Nicholas Ruozzi (ISMAR, 2021)

Personal Identifiability of User Tracking Data During VR Training. - Alec G. Moore; Ryan P. McMahan; Hailiang Dong; Nicholas Ruozzi (VR Workshops, 2021)

On the Design of Minimal-Cost Pipeline Systems Satisfying Hard/Soft Real-Time Constraints. - Weiwen Jiang; Edwin Hsing-Mean Sha; Qingfeng Zhuge; Lei Yang 018; Hailiang Dong; Xianzhang Chen (IEEE Trans. Emerg. Top. Comput., 2021)

Conditionally Tractable Density Estimation using Neural Networks. - Hailiang Dong; Chiradeep Roy; Tahrima Rahman; Vibhav Gogate; Nicholas Ruozzi (AISTATS, 2022)

A New Modeling Framework for Continuous, Sequential Domains. - Hailiang Dong; James Amato; Vibhav Gogate; Nicholas Ruozzi (AISTATS, 2023)

Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains. - Hailiang Dong; James Amato; Vibhav Gogate; Nicholas Ruozzi (UAI, 2024)

AV-NAS: Audio-Visual Multi-Level Semantic Neural Architecture Search for Video Hashing. - Yong Chen 008; Yuxiang Zhou; Hailiang Dong; Rui Liu 007; Zhouchen Lin; Dell Zhang (SIGIR, 2025)