I received my Ph.D. from Nanjing University of Science and Technology, where I was affiliated with the Visual Intelligence and Multimedia (VIM) and Intelligent Media Analysis Group (IMAG) under the supervision of Prof. Xiangbo Shu.

Previously, I was a visiting Ph.D. student at A*STAR and NUS for two years, working with Prof. Mike Z. Shou and Dr. Basura.

My research interests include Computer Vision, Action Recognition, Federated Learning, and AI Agents.

🔥 News

  • 2026-01-26: 🎉🎉 Published a paper in IEEE TIP!
  • 2025-09-19: 🎉🎉 YOCO is accepted by NeurIPS 2025!
  • 2025-06-26: 🎉🎉 Te-LoRA is accepted by ICCV 2025! Congrats to co-authors!
  • 2024-09-26: 🎉🎉 DoFIT is accepted by NeurIPS 2024!
  • 2023-03-10: 🎉🎉 Published a paper in IEEE TNNLS!
  • 2022-11-17: 🎉🎉 Published a paper in IEEE TPAMI!
  • 2022-05-26: 🎉🎉 Published a paper in IEEE TIP!

📝 Selected Publications (*co-first author)

NeurIPS 2025
YOCO

You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM

Binqian Xu, Haiyang Mei, Zechen Bai, Jinjin Gong, Rui Yan, Guo-Sen Xie, Yazhou Yao, Basura Fernando, Xiangbo Shu

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025

[pdf] | [code]

ICCV 2025
TeLoRA

Tensor-aggregated LoRA in Federated Fine-tuning

ZhiXuanLi*, Binqian Xu*, Xiangbo Shu, Jiachao Zhang, Yazhou Yao, Guo-Sen Xie, Jinhui Tang

International Conference on Computer Vision (ICCV), 2025

[pdf] | [code]

arXiv 2025
FedMLLM

FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data

Binqian Xu, Xiangbo Shu, Haiyang Mei, Guo-Sen Xie, Basura Fernando, Jinhui Tang

arXiv preprint arXiv:2411.14717, 2025

[pdf] | [code]

NeurIPS 2024
DoFIT

DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting

Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando, Mike Zheng Shou, Jinhui Tang

The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

[pdf] | [code]

IEEE TPAMI 2023
MAC-Learning

Multi-Granularity Anchor- Contrastive Representation Learning for Semi-Supervised Skeleton-Based Action Recognition

Xiangbo Shu, Binqian Xu, Liyan Zhang, Jinhui Tang

IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023

[pdf] | [code]

IEEE TNNLS 2023
SDS-CL

Spatiotemporal Decouple- and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition

Binqian Xu, Xiangbo Shu, Jiachao Zhang, Guangzhao Dai, and Yan Song

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023

[pdf] | [code]

IEEE TIP 2022
X-CAR

X-invariant Contrastive Augmentation and Representation Learning for Semi-Supervised Skeleton-Based Action Recognition

Binqian Xu, Xiangbo Shu, and Yan Song

IEEE Transactions on Image Processing (IEEE TIP), 2022

[pdf] | [code]

🎖 Honors and Awards

  • National Scholarship for PhD Students, 2025
  • Excellent Doctoral Candidate Training Program, 2025
  • National Scholarship for Studying Abroad, 2023
  • Third Prize, 10th LanQiao Cup National Finals, 2019
  • Bronze Medal, ICPC Xuzhou Site, 2018
  • Bronze Medal, CCPC Jilin Site, 2018
  • Third Prize, Hunan Collegiate Programming Contest, 2018
  • Third Prize, 9th LanQiao Cup National Finals, 2018