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.

🔥 News

  • 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

📦 Compression

ARXIV 2024, preprint
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Fast Feedforward 3D Gaussian Splatting Compression

Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai

ARXIV 2024, preprint

Arxiv | Project | Github

  • Compress existing 3DGS rapidly in seconds without per-scene optimization!
ECCV 2024
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HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression

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!
CVPR 2024
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How Far Can We Compress Instant-NGP-Based NeRF?

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!
ACM TOMM 2024
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A Unified Framework for Jointly Compressing Visual and Semantic Data

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

Paper

🧭 Other Fields

NIPS 2024, Spotlight
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MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning

Tieyuan Chen*, Huabin Liu*, Tianyao He, Yihang Chen, Chaofan Gan, et. al

Neural Information Processing Systems (NeurIPS), Spotlight, 2024

Arxiv | Github

🎓 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, M. Li, W. Lin, M. Harandi, J. Cai, “Fast Feedforward 3D Gaussian Splatting Compression”, ARXIV 2024, preprint.
  • 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.)