Welcome

About Me

I am a software engineer at Dell Technologies working on AI/ML solutions on storage. I am also a volunteery research engineer at Worcester Polytechnic Institute, working in VIS-Lab (Vision, Intelligence, and System Laboratory) led by Prof. Ziming Zhang focusing on deep learning and computer vision.

I obtained Master of Computer Science from Georgia Institute of Technology (part-time) and Master of Data Science from University of Texas at Austin (part-time) during 2021-2025. I also obtained Master of Computer Science degree from Worcester Polytechnic Institute, before I joined Dell Technologies. Prior to that, I was a research assistant in the department of computing at The Hong Kong Polytechnic University. I obtained my first master degree in computer science from University of Chinese Academy of Sciences and bachelor degree in computer science from Hohai University.

My research areas lie in computer vision and machine learning, especially in multi-modal learning, medical image analysis, point cloud processing, explainable AI, and natural language processing. My works have appeared in ICCV, NeurIPS, IROS, ACM Computing Surveys. I serve as a reviewer for several conferences (e.g. ICLR, IJCAI, IJCNN, KDD, MIDL, CHIL) and journals (e.g. expert systems with applications, engineering applications of artificial intelligence).

Recent News

• 02/01/2025 - 03/01/2025 I was invited as conference peer reviewer for ICLR, IJCAI, IJCNN, KDD, MIDL and CHIL.

• 02/26/2025 Workshop Paper BarkXAI: A Lightweight Post-Hoc Explainable Method for Tree Species Classification with Quantifiable Concepts was accepted at ICRL 2025 XAI4Science Workshop. Co-first author.

• 01/03/2025 Paper Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation was accepted at Interdisciplinary Information Sciences Special Issue. 1st author.

• 10/14/2024 Paper Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance was accepted to IROS 2024 as an Oral presentation. Co-first author.

• 09/21/2023 Paper InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion was accepted to NeurIPS 2023. 4-th author.

• 07/14/2023 Paper Hyperbolic Chamfer Distance for Point Cloud Completion was accepted to ICCV 2023. 3th author.

• 10/23/2022 Paper EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services was accepted to IROS 2022. 2nd author.

• 07/12/2021 Paper HDR-like image generation to mitigate adverse wound illumination using deep bi-directional retinex and exposure fusion was accpeted to MIUA 2021. 1st author.

• 02/05/2020 Paper A survey of IoT applications in blockchain systems: Architecture, consensus, and traffic modeling was accpeted to ACM Computing Surveys (CSUR) 2020. 3rd author.

• 12/01/2018 Paper Trunk volume prediction of individual Populus euphratica trees based on point clouds analysis was accepted to Ecological Indicators. Co-first author.

Selected Publications

	Hyperbolic chamfer distance for point cloud completion Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D Yamada, Ziming Zhang ICCV, 2023 [paper] [code]
	InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion Ziming Zhang, Fangzhou Lin, Yun Yue, Songlin Hou, Kazunori Yamada, Vijaya B Kolachalama, Venkatesh Saligrama NeurIPS, 2023 [paper] [code]
	Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance Fangzhou Lin*, Haotian Liu*, Haoying Zhou*, Songlin Hou*, Kazunori D Yamada, Gregory S Fischer, Yanhua Li, Haichong K Zhang, Ziming Zhang IROS, 2024 [paper] [code]
	EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services Zhe Peng, Songlin Hou, Yixuan Yuan IROS, 2022 [paper]