I am currently a joint Ph.D. candidate of Shanghai Jiao Tong University and Monash University from SEIEE since 2021, working with Prof. Weiyao Lin, Prof. Jianfei Cai and Prof. Mehrtash Harandi. Before that, I spent 4 wonderful years studying at Dalian University of Technology as an undergraduate student since 2017 (top 5%). My research interests include NeRF/3DGS compression, image/video compression and computer vision. Here is my CV/Resume. I am also happy to share my good friend Qianyi Wu’s fantastic works here.
If you are interested in my work, please contact me via yhchen.ee@sjtu.edu.cn.
🎯 Research Interests
- 3D Scene Reconstruction/Volume Rendering: Neural Radiance Field (NeRF), 3D Gaussian Splatting (3DGS), et al.
- Compression Techniques: 3D Representation Compression, Image/Video Compression, et al.
🔥 News
- 2025: 🎉🎉 1 ICLR is accepted!
- 2024: 🎉🎉 I will attend CVPR conference in Seattle in June. Looking forward to seeing old/new friends!
- 2024: 🎉🎉 1 CVPR, 1 ACM TOMM, 1 ECCV, 1 NIPS are accepted!
📝 Selected Projects
📦 3D Representation & Compression
Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
ARXIV 2025, under review
- HAC++ is an enhanced compression method over HAC!
Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
International Conference on Learning Representations (ICLR), 2025
- Compress existing 3DGS rapidly in seconds without per-scene optimization!
Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
European Conference on Computer Vision (ECCV), 2024
Paper | Arxiv | Project | Github
- Compress 3D Gaussian Splatting for 75X without fidelity drop!
Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Paper | Arxiv | Project | Github
- Significant compression ratio of 100X based on Instant-NGP!
Shizhan Liu, Weiyao Lin, Yihang Chen, Yufeng Zhang, Wenrui Dai, John See, Hongkai Xiong
ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), 2024
🧭 Other Fields
Tieyuan Chen*, Huabin Liu*, Tianyao He, Yihang Chen, Chaofan Gan, et. al
Neural Information Processing Systems (NeurIPS), Spotlight, 2024
🎓 Educations
- 2021.09 - present, PhD Candidate (Joint), Information and Communication Engineering. Shanghai Jiao Tong University.
- 2021.09 - present, PhD Candidate (Joint), Electrical and Computer Systems Engineering. Monash University.
- 2017.09 - 2021.06, Undergraduate, Electronic Information Engineering (English Intensive). Dalian University of Technology.
📖 Publications
- Y. Chen, Q. Wu, W. Lin, M. Harandi, J. Cai, “HAC++: Towards 100X Compression of 3D Gaussian Splatting”, ARXIV 2025.
- T. Chen, H. Liu, Y. Wang, Y. Chen, T. He, et al, “MECD+: Unlocking Event-Level Causal Graph Discovery for Video Reasoning”, ARXIV 2025.
- Y. Chen, Q. Wu, M. Li, W. Lin, M. Harandi, J. Cai, “Fast Feedforward 3D Gaussian Splatting Compression”, ICLR 2025.
- T. Chen, H. Liu, T. He, Y. Chen, C. Gan, et al, “MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning”, NIPS 2024, Spotlight.
- Y. Chen, Q. Wu, W. Lin, M. Harandi, J. Cai, “HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression”, ECCV 2024.
- Y. Chen, Q. Wu, M. Harandi, J. Cai, “How Far Can We Compress Instant-NGP-Based NeRF?”, CVPR 2024.
- Z. Xie, Z. Ni, W. Yang, Yuang Zhang, Y. Chen, Yang Zhang, X. Ma, “A Robust Online Multi-Camera People Tracking System With Geometric Consistency and State-aware Re-ID Correction”, CVPR workshop 2024.
- S. Liu, W. Lin, Y. Chen, Y. Zhang, W. Dai, J. See, H. Xiong, “A Unified Framework for Jointly Compressing Visual and Semantic Data”, ACM Trans. Multimedia Computing, Communications, and Applications, 2024.
- Y. Chen, W. Dong, Y. Xie, “A dual realization of Chua’s chaotic oscillator using a current-controlled nonlinear resistor.” 2021 IEEE 3rd International Conference on Circuits and Systems (ICCS). IEEE, 2021. [Paper] (This is my very first published paper. Most sincere appreciations to Prof. Weijie Dong’s guidance to this paper.)