Welcome to MIFA Lab!
MIFA Lab was established in 2022 at Shanghai Jiao Tong University (SJTU) and stands for Machine Intelligence Foundations and Applications Laboratory (机器智能基础与应用实验室). It is affiliated with Qing Yuan Research Institute (清源研究院) at School of Electronic Information and Electrical Engineering (电院). The origins of MIFA Lab can be traced back to a dynamic research group formed in 2018 by Dr. Weiran Huang, along with his interns and collaborating students, during their time in the industry. Since then, it has evolved into a thriving team focused on cutting-edge advancements in machine intelligence.
At MIFA Lab, we are committed to advancing the field of machine intelligence by bridging the gap between theoretical foundations and practical applications. Our research spans a wide range of topics, including pre-training and foundation models, data-efficient fine-tuning, continual learning, and multimodal learning. We are driven by the mission to make meaningful contributions to both academia and industry, pushing the boundaries of AI.
If you are passionate about exploring these exciting research areas and wish to contribute to the future of AI, we invite you to review our admission guidelines (招生须知) and consider joining our vibrant team! We also encourage you to contact our current members to learn more about our lab's working culture and mentorship style.
2024-09: 2 papers have been accepted to NeurIPS 2024!
2024-07: 1 paper has been accepted to ECCV 2024!
2024-05: 6 papers have been accepted to ICML 2024!
2023-12: Our team achieved first place in the Foundation Model Prompting for Medical Image Classification Challenge 2023 at the NeurIPS 2023 Competition!
2023-10: Our paper “When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method” was selected as a ICCV 2023 Best Paper Finalist (top 0.2%)!
2023-09: 2 papers have been accepted to NeurIPS 2023!
2023-08: Our paper “InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4” has been covered by AI media Jiqi Zhixin (机器之心)!
2023-07: 1 paper has been accepted to ICCV 2023 as an oral presentation!
2023-08: 1 paper has been accepted to ICML 2023!
2023-01: 3 papers have been accepted to ICLR 2023!
2022-12: MIFA Lab was established at Shanghai Jiao Tong University!
Weiran Huang (黄维然), Associate Professor
Haoyuan Gao (高浩元), 2023–present
Lai Wei (魏来), 2024–present: NeurIPS'24 (1st)
Kaipeng Zheng (郑凯鹏), 2024–present: NeurIPS'23 (1st), 2× ICML'24 (2nd & 3rd)
Jingyuan Huang (黄敬元), coming in 2025
Chengqi Li (李承骐), coming in 2025
Jiapeng Li (李嘉鹏), coming in 2025
Zihao Jiang (姜子昊), 2022–present: ICLR'23 (4th)
Xiuyuan Chen (陈修元), 2023–present: ECCV'24 (1st)
Wangshu Zhu (祝望舒), 2023–present
Chengzhi Xu (徐诚志), 2024–present
Kun Song (宋昆), PhD@USTB, 2023–present: ICML'24 (1st), NeurIPS'23 (1st)
Zhiquan Tan (谭智泉), PhD@THU, 2023–present: NeurIPS'24 (co-1st), 3× ICML'24 (1st & 2 co-1st)
Linglan Zhao (赵凌览), PhD@SJTU, 2023–2024: NeurIPS'24 (1st)
Xuerui Zhang (张雪睿), MS@ZJU, 2023–2024: NeurIPS'24 (co-1st)
Yichen Wen (文祎宸), MS@BNU, 2023–2024: ICML'24 (1st)
Xuyang Zhao (赵旭阳), PhD@PKU, 2023–2024 & 2021–2022 (intern): ICML'24 (1st), ICCV'23 best paper finalist (co-1st), 2× ICLR'23 (1st & co-1st)
Manyi Zhang (张曼怡), MS@THU, 2022: ICCV'23 best paper finalist (1st)
Dong Pang (庞栋), PhD@SJTU, 2022
Zhou Liu (刘洲), PhD@PKU, 2022
Jingyi Cui (崔敬怡), PhD@PKU, 2021–2022: ICML'23 (1st), NeurIPS'22 workshop (1st)
Yifei Wang (王一飞), PhD@PKU, 2021–2022: ICML'23 (co-1st), 2× NeurIPS'22 workshop (co-1st & 3rd)
Tianqi Du (杜天祺), undergrad@PKU, 2021–2022: ICLR'23 (co-1st), NeurIPS'22 workshop (1st)
Mingyang Yi (易鸣洋), PhD@AMSS of CAS, 2021: ICLR'23 (co-1st)
Jiaye Teng (滕佳烨), PhD@THU,2020–2021: AISTATS'22 (1st)
Aoxue Li (李傲雪), PhD@PKU, 2018–2020: CVPR'20 (1st), ICCV'19 (1st)
Shifeng Zhang (张世枫), PhD@THU, 2019–2020
Yihong Chen (陈艺虹), MS@THU, 2019
Yue Liu (刘越), PhD@PKU, 2019
Xingqiu He (贺行遒) , PhD@UESTC, 2018–2019
Yimin Huang (黄译旻), PhD@PKU, 2018–2019: AAAI'20 (1st)
We sincerely thank our sponsors, listed in no particular order, for their invaluable support of our research at MIFA Lab.