Analysis of Imitating Behavior on Social Media. - Ying Zhong; Haihan Zhang (HCI (45), 2020)

Effects of Visual Biofeedback on Competition Performance Using an Immersive Mixed Reality System. - Maxwell Kennard; Haihan Zhang; Yuki Akimoto; Masakazu Hirokawa; Kenji Suzuki 002 (SMC, 2020)

Superimposition of 3D Dynamic Objects on a Static Environment for Driver Assistance System. - Haihan Zhang; Hidehiko Shishido; Itaru Kitahara (GCCE, 2021)

On Zone-Differentiated Time-Constrained Flow Capacity Intelligent Monitoring for Large-Scale Urban Pipeline Systems by Mobile Sensors. - Junbin Liang; Haihan Zhang; Xia Deng; Zongjian He (IEEE Internet Things J., 2022)

Failure-Tolerant Monitoring Based on Spatial-Temporal Correlation via Mobile Sensors for Large-Scale Acyclic Flow Systems in Smart Cities. - Haihan Zhang; Junbin Liang; Victor C. M. Leung (IEEE Internet Things J., 2022)

Fixed Cameras Assisted UAVs Monitoring: Enhancing Monitoring Efficiency and Safety. - Haihan Zhang; Haipeng Dai 001 (ACM TUR-C, 2023)

Integrating mobile learning and SPOC-based flipped classroom to teach a course in water supply and drainage science and engineering. - Hui Zhang 029; Jie Zhang; Junping Wang; Haihan Zhang (Comput. Appl. Eng. Educ., 2023)

Vehicle Localization in a Completed City-Scale 3D Scene Using Aerial Images and an On-Board Stereo Camera. - Haihan Zhang; Chun Xie; Hisatoshi Toriya; Hidehiko Shishido; Itaru Kitahara (Remote. Sens., 2023)

Course Design and Textbook Development for Introduction to Computer Systems Course in the Era of Concurrency. - Haipeng Dai 001; Meng Li 010; Hancheng Wang; Haihan Zhang (COCOON (3), 2024)

The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization. - Haihan Zhang; Yuanshi Liu; Qianwen Chen; Cong Fang 001 (CoRR, 2024)

Prototype-Based Collaborative Learning in UAV-Assisted Edge Computing Networks. - Enze Yu; Haipeng Dai 001; Haihan Zhang; Zhenzhe Zheng; Jun Zhao 007; Guihai Chen (Softw. Pract. Exp., 2025)

Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition. - Yuanshi Liu; Haihan Zhang; Qian Chen; Cong Fang 001 (CoRR, 2025)

Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression. - Shihong Ding; Haihan Zhang; Hanzhen Zhao; Cong Fang 001 (CoRR, 2025)

Learning Curves of Stochastic Gradient Descent in Kernel Regression. - Haihan Zhang; Weicheng Lin; Yuanshi Liu; Cong Fang 001 (CoRR, 2025)

Optimizing Monitoring Utility of Uncrewed Aerial Vehicles Considering Adverse Effects. - Haihan Zhang; Haipeng Dai 001; Yu Qiu; Enze Yu; Ruiben Zhou; Weijun Wang 001; Jingwu Wang; Guihai Chen (IEEE Trans. Mob. Comput., 2025)