Haoyi "Bertrand" Xiong 熊昊一, Ph.D
principal applied scientist
Microsoft
Personal Email: haoyi.xiong.fr@ieee.org
Since May 2024, Dr. Haoyi Xiong has been a principal applied scientist at core search science team, Microsoft Core Search and AI. Previously, he served a staff engineer (2018--2020), a principal architect (2020--2024), and then the manager (2022-2024) of Big Data Laboratory, Baidu Research. Prior to his industry endeavor, he was a tenure track assistant professor (2016--2018) in the Department of Computer Science, Missouri University of Science and Technology (Missouri S&T), Rolla, MO and a research associate (2015--2016), hosted by Prof. Laura E. Barnes, in the Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA. He received Ph.D in electrical and computer engineering from Télécom SudParis (now part of Institut Polytechnique de Paris) jointly with Université Pierre-et-Marie-Curie, Paris 6 (now part of Sorbonne Université), Paris, France in 2015, where he was supervised by Prof. Daqing Zhang, Dr. Vincent Gauthier, and Prof. Monique Becker (directeur de thèse, see my academic genealogy). He earned the master's degree in information technology from the Hong Kong University of Science and Technology (2010), and the bachelor's degree in electrical engineering from Huazhong University of Science and Technology (2009). He also serves as a graduate faculty scholar affiliated to the electrical and computer engineering PhD program of the University of Central Florida, Orlando, FL.
"L'idée de Dieu. C'est l'idée d'un être infini et parfait.", René Descartes 1596 - 1650
Research Interests
Ubiquitous Computing, Data-centric AI, and Explainable AI
Major Awards [Full List]
IEEE ICDM'23 Best Student Paper Award, 2023. [link]
IEEE DSAA'23 Best Paper Awards - Journal Track, 2023. [link]
IEEE Computer Society TCSC Awards for Excellence in Scalable Computing (Early Career Researchers), 2020. [link]
Best Paper Award - CCF Conferences on Perviasive Computing and Communications, 2017.
The First Prize of Science and Technology Advancements, Chinese Institute of Electronics, 2019.
CNRS Samovar Outstanding Ph.D Thesis Runner-up 2015
Best Paper Award - IEEE UIC 2012
Some Recent Papers [Full List] [Google Scholar] [DBLP] [Thèses]
(Notes: Postdocs/Students/Interns/Engineers I work(ed) with, *equal contribution, ^corresponding author)
[NMI] Ning Wang*, Jiang Bian*, Xuhong Li, Yuchen Li, Shahid Mumtaz, Linge Kong^, Haoyi Xiong*^. Multi-purpose RNA Language Modeling with Motif-aware Pre-training and Type-guided Fine-tuning. Nature Machine Intelligence, 2024. [PDF]
[ICML'24] Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong^. GiLot: Interpreting Natural Language Generation via Optimal Transport. The Forty-first International Conference on Machine Learning. [PDF]
[NeurIPS'23] Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong^. M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. NeurIPS 2023 Track Datasets and Benchmarks, 2023. [PDF]
[KDD'23] Yuchen Li, Haoyi Xiong^, Linghe Kong^, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, and Dawei Yin. S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. The 29th SIGKDD Conference on Knowledge Discovery and Data Mining, 2023. [PDF]
[KDD'23] Xuewu Jiao, Weibin Li, Xinxuan wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu. PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. The 29th SIGKDD Conference on Knowledge Discovery and Data Mining, 2023. [PDF]
...
Mentees
Dr. Jiang Bian
Emeritus Members
Dr. Kafeng Wang, Research Intern (2018.08~2019.08, 2020.09~2021.11, Baidu)
now Postdoc @ THU
Dr. Jie Zhang, Postdoctoral Researcher at Peking University funded by PKU-Baidu joint research grant
now Associate Professor @ USTB, Beijing, China
Mr. Yunchao Zhang, Undergrad student (2016~2018, MST), Research Intern (2018, Baidu)
now SDE @ Microsoft, WA, United States
Dr. Baoxin Zhao, Research Intern (2019, Baidu)
now R&D Engineer @ Alibaba Cloud, Hangzhou, China
Mr. Jie An, Research Intern (2018~2019, Baidu)
now PhD Student @ University of Rochester, NY, United States
Mr. Jingfeng Wu, Research Intern (2018~2019, Baidu)
now PhD Student @ Johns Hopkins University, MD, United States
Mr. Ruosi Wan, Research Intern (2018~2019, Baidu)
now Research Scientist @ MEGVII, Beijing, China
Dr. Yongliang Yang, Visiting PhD Student (2016-2017, MST, primarily supervised by Prof. Don Wunsch)
now Associate Professor @ USTB, Beijing, China
Dr. Xiao Zhong, Postdoc (2016~2017, MST co-advised with Dr. Zeyi Sun)
now Visiting Assistant Professor of Statistics @ Louisianna Tech University, LA, United States
Dr. Yu Huang, Graduate Student (2015-2016, UVA, primarily supervised by Dr. Laura Barnes)
now Assistant Professor, Vanderbilt University, Nashville, TN
Dr. Jinghe Zhang, PhD (2015-2016, UVA, primarily supervised by Dr. Laura Barnes)
now Lead Data Scientist @ Target, Santa Clara, CA, United States.
Some personal interests...