👤 Biography

Rongyu is a second-year dual Ph.D. candidate at Nanjing University and The Hong Kong Polytechnic University, where he is co-supervised by Prof. Yuan Du and Prof. Dan Wang. He is now a visiting student at Peking University under the supervision of Prof. Shanghang Zhang. Previously, he received the M.Phil. degree from The Chinese University of Hong Kong, Shenzhen, supervised by Prof. Fangxin Wang, the B.Mang. and B.Eng. degree from the joint program of Beijing University of Posts and Telecommunications and Queen Mary University of London. He has published more than 10 papers in top conference journals such as CVPR, AAAI, TMC, and TCSVT, etc.

Feel free to reach out, or learn more from My CV.

🔬 AI Researcher

  • Research focus on efficient and generalization learning
  • Efficiency: Dynamic Neural Network
  • Multimodal Generalization: Embodied AI including Robotics and Autonomous Driving

✍️ Given Credits

  • First China Association for Science and Technology “Young Elite Scientist Sponsorship Program (Ph.D.)”, 2025-2027
  • Google Scholar Citations
  • GitHub Stars

☎️ Contact Info


🎓 Educations

  • The Hong Kong Polytechnic University (2023.09-Present) Dual Ph.D. in Computing Science
  • Nanjing University (2023.09-Present) Dual Ph.D. in Electrical Science and Technology
  • The Chinese University of Hong Kong, Shenzhen (2021.09-2023.03) M.Phil. in Computer and Information Engineering
  • Beijing University of Posts and Telecommunications (2017.09-2021.06) Dual B.Mang. in E-Commerce Engineering with Law
  • Queen Mary University of London (2017.09-2021.06) Dual B.Eng. in Electrical Engineering and Computer Sciences


🔥 News

📌 We have several academic intern positions at HMI Lab (Peking University). We actively work on AI4Science and Embodied AI. If you like what we do, don't hesitate to contact me.

[04.2025] 🎉 One paper RepCaM++ was accepted by Transaction on Mobile Computing (CCF-A) as first author.

[01.2025] 📚 I am selected for the First “Young Elite Scientist Sponsorship Program (Ph.D.)” by CAST.

[12.2024] 🎉 One paper BEVUDA++ was accepted by Transaction on Circuits and Systems for Video Technology (CAS-Q1) as first author.

[12.2024] 🎉 One paper PAT was accepted by AAAI 2025 (CCF-A).

[12.2024] 🏅 I was named "Outstanding Ph.D. Candidate" by NJU.

[11.2024] 💰 I was offered "Bank of Jiangsu" Scholarship from NJU.

[09.2024] 💻 The Panasonic Corporation is integrating the VeCAF (MM'24) into its actual business operations.

[08.2024] 💼 I joined the Beijing Academy of Artificial Intelligence supervised by Prof. Shanghang Zhang.

[07.2024] 🎉 One paper VeCAF was accepted by ACM Multimedia 2024 (CCF-A) as first author.

[07.2024] 🎓 I am offered a dual Ph.D. at The Hong Kong Polytechnic University supervised by Prof. Dan Wang.

[05.2024] 🎉 One paper MuPFL was accepted by IEEE Transaction on Mobile Computing (CCF-A) as first author.

[04.2024] 📚 Our project: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation, has been selected as one of the Jiangsu Province Graduate Research and Practical Innovation Project.

[03.2024] 💻 The Panasonic Corporation is integrating the MoFME (AAAI'24) into its actual business operations.

[01.2024] 🎉 One paper BEVUDA was accepted by IEEE ICRA 2024 (CCF-B) as first author.

[12.2023] 🎉 One paper MoFME was accepted by AAAI 2024 (CCF-A) as first author.

[08.2023] 🏅 We won 2nd place in the SHIFT Challenge 2023 - Continuous Test-time Adaptation for Semantic Segmentation in the challenges of VCL Workshop, ICCV2023.

[06.2023] 🎓 I joined the ISCL lab at Nanjing University and the HMI Lab of the NATIONAL ENGINEERING RESEARCH CENTER OF VISUAL TECHNOLOGY at Peking University as a joint Ph.D. student.

[04.2023] 🎉 One paper RepCaM was accepted by ACM NOSSDAV 2023 (CCF-B) as first author.

[03.2023] 🎉 One paper CdFed was accepted by IEEE ICME 2023 (CCF-B) as first author.

[03.2023] 🎉 One paper FedFHN was accepted by IEEE Network (CAS-Q2) as first author.

[03.2023] 🎉 One paper FedAB was accepted by IEEE Internet of Things Journal (CAS-Q1).

[03.2023] 🎉 Two papers BEVSAN and CDCCA were accepted by IEEE CVPR 2023 (CCF-A).

[03.2023] 🎓 I received M.Phil. degree from CUHKSZ.

[09.2022] 💼 I joined OPPO research as a Research Intern.

[08.2021] 🎓 I joined INML lab in CUHKSZ as an M.Phil. student.


📝 Publications

📒 Selected publications

TMC'2025
sym

RepCaM++: Exploring Transparent Visual Prompt with Inference-time Re-parameterization for Neural Video Delivery

  • Rongyu Zhang, Xize Duan, Jiaming Liu, Li Du, Yuan Du, Dan Wang, Shanghang Zhang, Fangxin Wang
  • IEEE Transactions on Mobile Computing
    (TMC|CCF-A), 2025.
  • [Paper] [Code]
TCSVT'2025
sym

BEVUDA++: Geometric-aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection

  • Rongyu Zhang, Jiaming Liu, Xiaoqi Li, Xiaowei Chi, Dan Wang, Li Du, Yuan Du, Shanghang Zhang
  • IEEE Transactions on Circuits and Systems for Video Technology
    (TCSVT|CAS-Q1), 2025.
  • [Paper] [Code]
MM'2024
sym

VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness

  • Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang
  • ACM International Conference on Multimedia
    (MM|CCF-A), 2024.
  • [Paper] [Code]
AAAI'2024
sym

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation

  • Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
  • The 38th AAAI Conference on Artificial Intelligence
    (AAAI|CCF-A), 2024.
  • [Paper] [Code]
TMC'2024
sym

Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data

  • Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Bo Li
  • IEEE Transactions on Mobile Computing
    (TMC|CCF-A), 2024.
  • [Paper] [Code]

📚 Full publications

*: Equal Contribution.
CCF-A/CAS-Q1 as First-author: AAAIx 1, ACM MMx 1, TMCx 1, TCSVTx 1

       

  • TMC'25RepCaM++: Exploring Transparent Visual Prompt with Inference-time Re-parameterization for Neural Video Delivery
    Rongyu Zhang, Xize Duan, Jiaming Liu, Li Du, Yuan Du, Dan Wang, Shanghang Zhang, Fangxin Wang

    PDF Code GitHub Stars

  • TCSVT'25BEVUDA++: Geometric-aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection
    Rongyu Zhang, Jiaming Liu, Xiaoqi Li, Xiaowei Chi, Dan Wang, Li Du, Yuan Du, Shanghang Zhang

    PDF Code GitHub Stars

  • AAAI‘24Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation
    Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

    PDF Code GitHub Stars

  • MM'24VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness
    Rongyu Zhang*, Zefan Cai*, Huanrui Yang*, Zidong Liu, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang

    PDF Code GitHub Stars

  • TMC'24Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
    Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Bo Li

    PDF Code

  • Network'23Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge
    Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Jiangchuan Liu

    PDF Code

  • Nossdav'23RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery
    Rongyu Zhang*, Lixuan Du*, Jiaming Liu*, Congcong Song, Fangxin Wang, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang

    PDF Code GitHub Stars [Oral Presentation]

  • ICME'23Cluster-driven GNN-based Federated Recommendation System with Biased Message Dropout
    Rongyu Zhang*, Yun Chen*, Chenrui Wu, Fangxin Wang

    PDF Code

  • ICRA'24BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection
    Jiaming Liu*, Rongyu Zhang*, Xiaowei Chi, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang

    PDF Code GitHub Stars

  • AAAI'25PAT: Pruning-Aware Tuning for Large Language Models
    Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du

    PDF Code GitHub Stars

  • CVPR'23Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world
    Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang

    PDF Code

  • CVPR'23BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks
    Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang

    PDF Code GitHub Stars

  • IoTJ'23FedAB: Truthful Federated Learning with Auction-based Combinatorial Multi-armed Bandit
    Chenrui Wu, Yifei Zhu, Rongyu Zhang, Yun Chen, Fangxin Wang, Shuguang Cui

    PDF Code

  • arXiv'25MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
    Rongyu Zhang*, Menghang Dong, Yuan Zhang, Liang Heng, Xiaowei Chi, Gaole Dai, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang

    PDF Code GitHub Stars

  • Arxiv'25FBQuant: FeedBack Quantization for Large Language Models
    Yijiang Liu, Hengyu Fang, Liulu He, Rongyu Zhang, Yichuan Bai, Yuan Du, Li Du

    PDF Code

  • arXiv'24Decomposing the Neural: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
    Rongyu Zhang*, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang

    PDF Code GitHub Stars

  • arXiv'24Implicit Neural Image Field for Biological Microscopy Image Compression
    Rongyu Zhang*, Gaole Dai*, Cheng-Ching Tseng*, Qingpo Wuwu*, Shaokang Wan*, Ming Lu, Tiejun Huang, Yu Zhou, Ali Ata Tuz, Matthias Gunzer, Jianxu Chen, Shanghang Zhang

    PDF Code GitHub Stars

  • arXiv'24Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning
    Yijiang Liu*, Rongyu Zhang*, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang

    PDF Code

  • arXiv'24M2Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation
    Xiaowei Chi*, Rongyu Zhang*, Zhengkai Jiang, Yijiang Liu, Yatian Wang, Xingqun Qi, Wenhan Luo, Peng Gao, Shanghang Zhang, Qifeng Liu, Yike Guo

    PDF Code GitHub Stars

  • arXiv'24EVA: An Embodied World Model for Future Video Anticipation
    Xiaowei Chi, Hengyuan Zhang, Chun-Kai Fan, Xingqun Qi, Rongyu Zhang, Anthony Chen, Chi-min Chan, Wei Xue, Wenhan Luo, Shanghang Zhang, Yike Guo

    PDF Code GitHub Stars

  • arXiv'24ViML: A Video, Music, Language Unified Dataset for Understanding and Generation
    Xiaowei Chi, Aosong Chen, Pengjun Fang, Yatian Wang, Zeyue Tian, Yingqing He, Zhaoyang Liu, Xingqun Qi, Rongyu Zhang, Mengfei Li, Jiahao Pan, Yanbing Jiang, Wei Xue, Wenhan Luo, Qifeng Chen, Shanghang Zhang, Qifeng Liu, Yike Guo

    PDF Code GitHub Stars

  • arXiv'23Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation
    Rongyu Zhang, Xiaowei Chi, Wenyi Zhang, Guiliang Liu, Fangxin Wang

    PDF Code


🥇 Honors and Awards

  • (2025.09):  Hong Kong Post-Graduate Scholarship (HKPGS) with 18,840¥/month, PolyU
  • (2025.01):  The First “Young Elite Scientist Sponsorship Program (Ph.D.)” with 40,000¥ (Only 3226 students were selected in the first year), China Association for Science and Technology (CAST)
  • (2024.12):  Outstanding Ph.D. Candidate with 2,000¥/year, NJU
  • (2024.12):  “Bank of Jiangsu” Scholarship with 5,000¥, NJU
  • (2024.05):  Jiangsu Province Graduate Research and Practical Innovation Project “Mixture-of-Activation-Sparsity-Experts for Continuous Test-time Adaptation” with 15,000¥, NJU
  • (2023.10):  The 2nd place of the SHIFT Challenge 2023 - Continuous Test-time Adaptation for Semantic Segmentation in the challenges of VCL Workshop with 2,000$, ICCV


💼 Services

Journal reviewer

  • IEEE Transaction on Mobile Computing
  • IEEE Transaction on Computers
  • IEEE Transaction on Neural Networks and Learning Systems
  • IEEE Internet of Things Journal
  • IEEE Network

Conference reviewer

  • CVPR 2025
  • ACM MM 2024, 2025
  • ICCV 2023, 2025


💻 Internships

  • Beijing Academy of Artificial Intelligence (2024.08-2024.11) Research Intern, supervised by Prof. Shanghang Zhang
  • OPPO Research Institute (2022.09-2023.03) Research Intern, supervised by Dr. Yandong Guo
  • LENOVO Research Institute (2020.11-2021.05) Research Intern, supervised by Prof. Jiangtao Gong


😄 Miscellaneous

❤️ Family

    family Image
  • I have a beautiful girlfriend, Ziqi Qiao, who is also a Ph.D. student at Peking University. We also own an adorable cat 🐱 named QiuQiu. He brings us tremendous fun and happiness.

🧑‍🤝‍🧑 Friends

😄 Hobbies

    hobby Image
  • I am a crazy basketball 🏀 & football ⚽️ fan. I enjoy the games of Kevin Durant 🕷️ and Kyrie Irving 🧙. I also wholeheartedly pledge my allegiance to Chelsea Football Club, KTBFFH! 💙