Resume
[Curriculum Vitae] [中文简历]
Research Interests
- Natural language processing, signal processing, high-dimensional statistics, and machine learning
Education
- 2013 - 2017: Rensselaer Polytechnic Institute, NY, USA. Ph.D. in Electrical Engineering.
- 2011 - 2013: University of Pennsylvania, PA, USA. M.S. in Electrical Engineering.
- 2007 - 2011: Xidian University, China. B.S. in Electronic and Information Engineering (GPA ranking: 1/114).
Work Experience
- 2024 - present: Xiaomi Inc., Research Engineer.
- 2020 - 2024: Baidu Inc., Research Engineer.
- 2018 - 2020: Petuum Inc., Data Scientist / Machine Learning Engineer.
- 2010 - 2011: Microsoft Research Asia, Research Intern.
Research Experience
- 2013 - 2017: Rensselaer Polytechnic Institute, Research Assistant.
- 2012 - 2013: University of Pennsylvania, Research Assistant.
Awards
- North America Finalist of IBM Watson Build Challenge, 2017.
- Paper selected as the runner-up for Best Paper in Electric Energy Systems Track in Proc. of Hawaii International Conference on System Sciences, 2015.
- Founders Award of Excellence (top 1%), 2015.
- Paper selected as one of the Best Conference Papers on Power System Analysis and Modeling of IEEE Power & Energy Society General Meeting, 2014.
- Excellent Graduate of Xidian University (top 1%), 2011.
- National Scholarship (top 0.2% nationwide), 2010.
- First prize of the College Academic and Technological Scholarship (top 2%), 2008, 2009, 2010.
- Excellent Student Award (top 1%), 2008.
Research Interns / Students Mentored
- Menglong Cui, Tianjin University, 2024.
- Xuanfu Wu, Institute of Computing Technology, Chinese Academy of Sciences, 2021 & 2022.
- Jicheng Li, Institute of Computing Technology, Chinese Academy of Sciences, 2021.
Professional Activities & Service
- Program Committee Member:
- Conference on Uncertainty in Artificial Intelligence (UAI)
- The Annual AAAI Conference on Artificial Intelligence (AAAI)
- The Annual Meeting of the Association for Computational Linguistics (ACL)
- The Conference on Empirical Methods in Natural Language Processing (EMNLP) Industry Track
- The Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)
- The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- SIAM International Conference on Data Mining (SDM)
- The China National Conference on Computational Linguistics (CCL)
- Journal Reviewer:
- IEEE Transactions on Signal Processing
- IEEE Transactions on Audio, Speech and Language Processing
- IEEE Transactions on Smart Grid
- IEEE Transactions on Automatic Control
- IEEE Transactions on Power Delivery
- IEEE/ACM Transactions on Networking
- IEEE Signal Processing Letters
- Annals of Mathematics and Artificial Intelligence
- Journal of Data-centric Machine Learning Research (DMLR)
- Conference Reviewer:
- The Conference on Neural Information Processing Systems (NeurIPS)
- The International Conference on Learning Representations (ICLR)
- The Association for Computational Linguistics Rolling Review (ACL ARR)
- The Annual Meeting of the Association for Computational Linguistics (ACL)
- The Conference on Empirical Methods in Natural Language Processing (EMNLP)
- The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
- The Conference of the European Chapter of the Association for Computational Linguistics (EACL)
- The International Conference on Computational Linguistics (COLING)
- The China National Conference on Computational Linguistics (CCL)
- The CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC)
- The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
- American Control Conference (ACC)
- Intelligent System Applications to Power Systems Conference (ISAP)
- International Conference on Intelligent Multilingual Information Processing (IMLIP)
Skills
- Proficiency with Matlab, Python, DyNet, PyTorch, and TensorFlow
- Experienced in Java, R, C/C++, and C#