👤 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 over 10 papers in top-tier CCF-A and CAS-Q1 international conferences and journals such as Nature Computational Science, 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 CAST “Young Talent Support Project Doctoral Special Program
  • CEDF “Endeavor Scholarship — Integrated Circuit Talent Program
  • 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.

[05.2025] 📕 I am selected for the “Endeavor Scholarship — Integrated Circuit Talent Development Program” of China Education Development Foundation (93 recipients nationwide).

[05.2025] 🎉 One paper INIF was accepted by Nature Computational Science (CAS-Q1).

[05.2025] 🎉 One paper UTMP was accepted by IEEE TMC (CCF-A) as first author.

[05.2025] 🎉 One paper EVA was accepted by ICML 2025 (CCF-A).

[04.2025] 🎉 One paper FBQuant was accepted by IJCAI 2025 (CCF-A).

[04.2025] 🎉 One paper RepCaM++ was accepted by IEEE TMC (CCF-A) as first author.

[03.2025] 💻 PAT (AAAI'25) has been applied to Samsung’s on-device applications for smartphones and TVs.

[01.2025] 📕 I am selected for the First session “Young Talent Support Project Doctoral Special Program” of China Association for Science and Technology (3,226 recipients nationwide)

[12.2024] 🎉 One paper BEVUDA++ was accepted by IEEE TCSVT (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 ACMMM 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 TMC (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 Projects.

[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.

[03.2023] 🎓 I received M.Phil. degree from The Chinese University of Hong Kong, Shenzhen

[03.2023] 🎉 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 IoTJ (CAS-Q1).

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

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

[08.2021] 🎓 I joined INML lab at The Chinese University of Hong Kong, Shenzhen as an M.Phil. student.



📝 Publications

📒 Selected publications

TMC'2025
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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]
TMC'2025
sym

Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation

  • Rongyu Zhang, Xiaowei Chi, Wenyi Zhang, Guiliang Liu, Dan Wang, Fangxin Wang
  • IEEE Transactions on Mobile Computing
    (TMC|CCF-A), 2025.
  • [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]
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 AAAI Conference on Artificial Intelligence
    (AAAI|CCF-A), 2024.
  • [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]

📚 Full publications

*: Equal Contribution.
CCF-A/CAS-Q1 as First-author: AAAIx 1, ACM MMx 1, TMCx 3, TCSVTx 1

       

  • TMC'25Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation
    Rongyu Zhang, Xiaowei Chi, Wenyi Zhang, Guiliang Liu, Dan Wang, Fangxin Wang

    PDF Code

  • 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

  • NCS'24Implicit Neural Image Field for Biological Microscopy Image Compression
    Gaole Dai, Rongyu Zhang*, 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

  • ICML'25EVA: 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

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

    PDF Code

  • 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, Dan Wang, Yuan Du, Shanghang Zhang

    PDF Code GitHub Stars

  • 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'24T-REX: Mixture-of-Rank-One-Experts with semantic-aware Intuition for Multi-task Large Language Model Finetuning
    Rongyu Zhang*, Yijiang Liu*, Huanrui Yang*, Shenli Zheng, Chongkang Tan, Dan Wang, Yuan Du, Li Du, Shanghang Zhang

    PDF Code GitHub Stars

  • 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'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


🥇 Honors and Awards

  • (2025.09):  Hong Kong Post-Graduate Scholarship (HKPGS) with 18,840¥/month, The Hong Kong Polytechnic University
  • (2025.05):  The “Endeavor Scholarship — Integrated Circuit Talent Development Program (93 recipients nationwide)” with 100,000¥, China Education Development Foundation (中国教育发展基金会“奋进奖学金—集成电路人才培养”项目;全国93人入选)
  • (2025.01):  The First Session “Young Talent Support Project Doctoral Special Program (3,226 recipients nationwide)” with 40,000¥, China Association for Science and Technology (首届中国科协“青年人才托举工程博士生专项”计划;全国3,226人入选)
  • (2024.12):  Outstanding Ph.D. Candidate with 2,000¥/year, Nanjing University
  • (2024.12):  “Bank of Jiangsu” Scholarship with 5,000¥, Nanjing University
  • (2024.05):  Jiangsu Province Graduate Research and Practical Innovation Project “Mixture-of-Activation-Sparsity-Experts for Continuous Test-time Adaptation” with 15,000¥, Jiangsu Provincial Department of Education (江苏省”研究生科研与实践创新”计划)
  • (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$, International Conference on Computer Vision


💼 Services

Journal reviewer

  • IEEE Transactions on Mobile Computing (TMC)
  • IEEE Transactions on Computers (TC)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Internet of Things Journal (IoTJ)
  • IEEE Network Magazine (Network)

Conference reviewer

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025
  • ACM International Conference on Multimedia (MM) 2024, 2025
  • IEEE/CVF International Conference on Computer Vision (ICCV) 2023, 2025
  • Annual Conference on Neural Information Processing Systems (NeurIPS) 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! 💙