Publications – Haolin (Harry) Zhang

* Equal contribution (Co-first author)

Zhang, H.*, Mekala, M. S.*, Yang, D., Isaacs, J., Nain, Z., Park, J. H., & Jung, H. Y. (2023). 3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration. IEEE Transactions on Vehicular Technology. (JCR SCI-Q1)
Yang, D.*,Zhang, H.*, Yurtsever, E., Redmill, K. A., & Özgüner, Ü. (2022). Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention. IEEE Transactions on Intelligent Vehicles, 7(2), 221-230. (JCR SCI-Q1)
Mekala, M. S., Dhiman, G., Srivastava, G., Nain, Z., Zhang, H., Viriyasitavat, W., & Varma, G. P. S. (2022). A DRL-based service offloading approach using DAG for edge computational orchestration. IEEE Transactions on Computational Social Systems. (JCR SCI-Q2)
边后琴, 张皓霖, & 黄福珍. (2020). 局部二值描述子的研究进展综述. 图学学报, 41(2), 254. (北大核心)

Shitao Chen*, Haolin Zhang*, Yuchen Yan, Nanning Zheng. From Independence to Cooperation: A Novel Keypoint Extraction Framework for Autonomous Systems. Accepted by the 2023 IEEE International Intelligent Transportation Systems Conference (IEEE ITSC 2023).
Zhiyao Lu, Haolin Zhang, Ruotong Wang, Shitao Chen, Linhai Xu, Nanning Zheng. Towards Better 3D Visual Lane Detection in Traffic Scenes Via Leveraging Object Semantics. Accepted by the 2023 IEEE International Intelligent Transportation Systems Conference (IEEE ITSC 2023).
Mekala, M. S.*, Zhang, H.*, Park, J. H., & Jung, H. Y. (2023, January). A Service Consolidation Approach for Edge-Vehicle Network using Multi-agent Decision-making Method. In 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC 2023) (pp. 1-7). IEEE.
Mekala, M. S.*, Zhang, H.*, Park, J. H., & Jung, H. Y. (2023, January). Quantum-based Offloading Strategy for Intelligent Vehicle Network. In 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC 2023) (pp. 987-988). IEEE.
Zhang, H.*, Yang, D.*, Yurtsever, E.*, Redmill, K. A., & Özgüner, Ü. (2021, September). Faraway-frustum: Dealing with lidar sparsity for 3D object detection using fusion. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 2646-2652). IEEE.
Zhang, H., & Bian, H. (2019, July). A Fast Image Matching Approach for Real-Time Embedded Systems. In 2019 Chinese Control Conference (CCC) (pp. 7855-7860). IEEE.

Mekala,M. S., Zhang,H., S Khan, M., Dhiman G., Elyan E., & Shankar A.(2022). RSU-LiDAR: A DL-inspired RSU Consolidation System for Effective Object Detection In IoV. (Under Review by IEEE T-VT)