LONGHUI YU

Biography

Longhui Yu is an MPhil student at Peking University, advised by Prof. Yuesheng Zhu. Currently, I am sincerely looking for a Ph.D. opportunity starting 2024 FALL. Here is my CV. I am very lucky to work with Dr. Weiyang Liu and Prof. Adrian Weller from University of Cambridge, Dr. Lanqing Hong from National University of Singapore, and Prof. Zhenguo Li from Hong Kong University of Science and Technology.

My research interest broadly lies in Artificial General Intelligence and Machine Learning. Previously, I spent wonderful time with my collaborators working on Large Language Model, AI Alignment, Scalable Learning(Continual Learning, Semi‑supervised Learning), Distribution Robust(Long‑tailed Learning, Out‑of‑Distribution Detection), Neural Collapse. Meanwhile, I also pay attention to the real-world applications of AI, such as Autonomous Driving, NeRF, and Vector Font Synthesis.

Currently, I am actively looking for a Ph.D. opportunity starting 2024 FALL! For Ph.D. Research, I am curious and passionate about any research topic that has the potential to hold immense value for human society. Please contact me if there is a good fit!

[Google Scholar] [Twitter] [Github] [Huggingface]

Publication and Preprints

2023

Longhui Yu*, Weisen Jiang*, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu.
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. [PDF]
In Submissions

Weiyang Liu*, Zeju Qiu*, Yao Feng**, Yuliang Xiu**, Yuxuan Xue**, Longhui Yu**, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf.
Parameter‑Efficient Orthogonal Finetuning via Butterfly Factorization. [PDF]
In Submissions

Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok.
Backward Reasoning in Large Language Models for Verification. [PDF]
In Submissions

Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu.
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. [PDF]
In Submissions.

Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu.
Continual Learning by Modeling Intra‑Class Variation. [PDF]
In Publications of Transactions on Machine Learning Research (TMLR), 2023.

Weiyang Liu*, Longhui Yu*, Adrian Weller, Bernhard Schölkopf.
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. [PDF]
In Proceedings of International Conference on Learning Representations (ICLR), 2023.

Yuqing Wang, Yizhi Wang, Longhui Yu, Yuesheng Zhu, Zhouhui Lian.
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality. [PDF]
In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

2022

Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li.
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. [PDF]
In Proceedings of British Machine Vision Conference (BMVC), 2022.

Longhui Yu, Zhenyu Weng, Yuqing Wang, Yuesheng Zhu.
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification. [PDF]
In Proceedings of International Conference on Multimedia and Expo (ICME Oral), 2022.

Liyuan Wang*, Xingxing Zhang*, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu.
Memory Replay with Data Compression for Continual Learning. [PDF]
In Proceedings of International Conference on Learning Representations (ICLR), 2022.

Awards

• 2020, Outstanding Graduate, The Outstanding Graduate of South China University of Technology
• 2019, The First Prize, The 14th National University Students’ Smart Car Competition
• 2019, Scholarship, The Scholarship of South China University of Technology
• 2018, Scholarship, The Scholarship of South China University of Technology
• 2017, Scholarship, The Scholarship of South China University of Technology

Professional Service

• Reviewer
  • CVPR 2024, IEEE Conference on Computer Vision and Pattern Recognition
  • NeurIPS 2023, Conference on Neural Information Processing Systems
  • ICCV 2023, IEEE International Conference on Computer Vision
  • CVPR 2023, IEEE Conference on Computer Vision and Pattern Recognition
  • ACML 2022, Asian Conference on Machine Learning
  • BMVC 2022, British Machine Vision Conference