I am currently a Research Fellow at The Artificial Scientific Intelligence Lab (ASI Lab) at the National University of Singapore, under the supervision of Prof. Leo Dianbo Liu. Before that, 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, Task Planning, and AI Agents.
📫 Get in Touch / Collaborations
I am always open to discussions and collaborations! If you share an interest in these research directions, or are seeking remote internship opportunities, please feel free to reach out with your CV at: xubinq11@gmail.com.
🔥 News
- 2026-05-01: 🎉🎉 DecoVer is accepted by ICML 2026! Congrats to co-authors!
- 2026-04-22: 🎉🎉 Fed-C&E is accepted by IEEE TIFS! Congrats to co-authors!
- 2026-04-06: 🎉🎉 DeGAML-LLM is accepted by ACL 2026! Congrats to co-authors!
- 2026-01-26: 🎉🎉 A2MC is accepted by IEEE TIP!
- 2025-12-22: 🎉🎉 AS-CAR is accepted by SCIS! Congrats to co-authors!
- 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: 🎉🎉 SDS-CL is accepted by IEEE TNNLS!
- 2022-11-17: 🎉🎉 MAC-Learning is accepted by IEEE TPAMI!
- 2022-05-26: 🎉🎉 X-CAR is accepted by IEEE TIP!
📝 Selected Publications (* Equal Contribution, ✉ Corresponding Author)
Task Planning
DecoVer: A Decompose-and-Verify Neuro-Symbolic Framework for Embodied Task Planning with BC+
YiXiang Jiang*, Binqian Xu*✉, and Xiangbo Shu✉
Forty-third International Conference on Machine Learning (ICML), 2026
Evolving Agent
Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models
Nitin Vetcha, Binqian Xu, and Dianbo Liu
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026
Federated Learning
Federated Unsupervised Skeletal Action Recognition From Condensation to Expansion
Jinjin Gong, Binqian Xu, Jiachao Zhang, and Xiangbo Shu
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2026
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
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
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
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
Action Recognition
Attack-Augmented Mixing-Contrastive Skeletal Representation Learning
Binqian Xu, Xiangbo Shu, Jiachao Zhang, Rui Yan, and Guo-Sen Xie
IEEE Transactions on Image Processing (IEEE TIP), 2026
AS-CAR: adaptive topology evolution with semantic alignment for continual action recognition
Xingyu Zhu, Xiangbo Shu, Binqian Xu, Liyan Zhang, and Jinhui Tang
Science China Information Sciences (SCIS), 2026
Xiangbo Shu, Binqian Xu, Liyan Zhang, Jinhui Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023
Binqian Xu, Xiangbo Shu, Jiachao Zhang, Guangzhao Dai, and Yan Song
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023
Binqian Xu, Xiangbo Shu, and Yan Song
IEEE Transactions on Image Processing (IEEE TIP), 2022
🎖 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
🛎 Academic Service
Journal Reviewer:
- International Journal of Computer Vision (IJCV)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- Information Sciences
Conference Reviewer:
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025-2026)
- IEEE International Conference on Computer Vision (ICCV 2025)
- International Conference on Learning Representations (ICLR 2025-2026)
- International Conference on Machine Learning (ICML 2025-2026)
- Annual Conference on Neural Information Processing Systems (NeurIPS 2025) Datasets and Benchmarks Track
- Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
- AAAI Conference on Artificial Intelligence (AAAI 2026)
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026)
- Annual Meeting of the Association for Computational Linguistics (ACL 2026)
- International Conference on Artificial Intelligence and Statistics (AISTATS 2026)
- ACM International Conference on Multimedia Asia (ACM Multimedia Asia 2025)
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Chinese Conference on Biometric Recognition (CCBR 2025)
