Haoyi "Bertrand" Xiong 熊昊一, Ph.D
principal architect, research scientist
Big Data Lab, Baidu Research
Baidu, Inc.
Personal Email: haoyi.xiong.fr@ieee.org
Dr. Haoyi Xiong is currently a principal architect in Big Data Laboratory, Baidu Inc. From Fall 2016 to Spring 2018, he was a tenure track assistant professor in Department of Computer Science, Missouri University of Science and Technology (Missouri S&T), Rolla, MO. Before that he was a research associate in Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, hosted by Prof. Laura E. Barnes. 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, IEEE Fellow and a Member of Academia Europaea, 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 bachelor 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 Intelligence & Computing
Recent Awards [Full List]
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
[ICML'24] Xuhong Li, Jiamin Chen, Yekun Chai, Haoyi Xiong^. Interpreting Natural Language Generation via Optimal Transport. The Forty-first International Conference on Machine Learning.
[MLST] Haoyi Xiong, Xuhong Li, Dongrui Wu, Zhanxing Zhu, and Dejing Dou. Stochastic Gradient Descent with Random Label Noises: Doubly Stochastic Models and Inference Stabilizer. Machine Learning: Science and Technology, the Institute of Physics, UK. (an AI for Sciences work) [PDF]
[IJCAI'24] Jingyang Deng, Xingjian Li, Haoyi Xiong, Xiaoguang Hu, Jinwen Ma^. Geometry-Guided Conditional Adaption for Surrogate Models of Large-Scale 3D PDEs on Arbitrary Geometries. 2024 International Joint Conference on Artificial Intelligence.
[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 ACM 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 ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023. [PDF]
[AAAI'23] Qingrui Jia*, Xuhong Li*, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong^ and Dejing Dou. Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features. In Proceedings of the Thirty-Seven AAAI Conference on Artificial Intelligence, 2023. [PDF] [Codes]
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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...