Trusted Panel

The following professors' cares for me are unconditional and their comments on me are objective:

• Prof. Geoffrey Ye Li (IEEE Fellow, my postdoctoral advisor)
  • This is a kind, responsible, considerate, flexible, helpful, respectful, and knowledgeable professor. I can find him whenever I want to have an academic discussion. He helped me a lot in developing my research career, including long-term research direction and meaningful research style.
• Prof. Vincent Tan (My postdoctoral advisor)
  • This is a kind, responsible, passionate, considerate, flexible, helpful, respectful, and knowledgeable professor. I can find every virtue that a professor is supposed to have. It is my fortune to work with him. His cares for students and postdoctoral members are unconditional. He taught me how to write proper mathematics such as how to structure a paper, how to normalize the notation system, how to deliver a satisfactory presentation, and how to strictly follow academic ethics (e.g., when to or not to coauthor a paper).
• Prof. Xiaobo Li (My Ph.D. thesis advisory committee member)
  • Xiaobo is also a kind, responsible, considerate, helpful, respectful, unselfish, and knowledgeable professor. He helped me a lot in structuring, formalizing, and clarifying my Ph.D. thesis; The presentation and scientific qualities of my thesis were improved a lot under his advice. I feel extremely warm and respected everytime when I talk with him: He is trying to encourage and bring hopes to me (and, I believe, all his students) in his every word.
• Prof. Jianhua He (My master’s thesis advisor)
  • Prof. He is also very nice and respectful. He cares about students to his best. He encouraged me to do a Ph.D.: Without his encouragement, I am certainly not a Ph.D. now.
• Prof. Haobin Shi (My undergraduate contest advisor)
  • Prof. Shi is also very nice and respectful. He also cares about students to his best. Under his advice, I participated in several robot contests during which my programming and mathematical skills have been deeply trained and substantially improved.

Trusted Collabarators

• I have publications with (Coauthors):
  • Prof. Andrew Lim
    • Transportation Research, Operations Research, Management Science, Analytics
  • Prof. Chongshou Li
    • Hierarchical Learning, Retail Forecasting, Point Cloud Analysis, Data Analytics
  • Prof. Zhongming Wu
    • Mathematical Programming, Optimization, Operations Research
  • Prof. Yang Liu
    • Future Urban Mobility and Transport Systems (Shared Mobility System Operation and Design, Travel Demand and Congestion Management, Data-Driven Transportation System Modeling and Analysis)
  • Dr. Yuxin Che
    • Packing, Vehicle Routing, Scheduling
  • Dr. Huangjie Zhao
    • Operations Research, Robust Optimization, Routing Optimization, Biobjective Analysis
  • Dr. Xinke Li
    • Deep Learning, 3D Vision, Geometry Learning
  • Mr. Zhirui Chen
    • Multi-armed Bandits, Machine Learning
• I have preprints with:
  • Prof. Geoffrey Ye Li, IEEE Fellow
    • Signal Processing, Machine Learning, Wireless Communications
  • Prof. Wei Dai
    • Signal Processing, Information Theory, Random Matrix Theory
  • Dr. Haowei Wang
    • Bayesian Optimization, Uncertainty Analysis
• We have agreed on long-term collaboration:
  • Dr. Yue Zhao
    • Robust Optimization, Adversarial Machine Learning
  • Dr. Jingwen Li
    • Deep Reinforcement Learning, Combinatorial Optimization
  • Dr. Xun Zhang
    • Operations Management, Asymptotic Statistics, Optimization Algorithms
  • Dr. Yuming Huang
    • Blockchain, Cryptocurrency, Decentralized Systems
  • Dr. Qianhao Cong
    • Blockchain, Graph Algorithms
  • Dr. Binbin Pan
    • Logistics, Transportation, Operations Research, Supply Chain
  • Dr. Kanxin Hu
    • Machine Scheduling, Combinatorial Optimization
  • Dr. Jingyi Zhao
    • Vehicle Routing, Heuristic Algorithm
  • Dr. Yichen Li
    • Underwater Sensor Networks, Cooperative Localization, Target Tracking, Signal Processing, Information Fusion
  • Mr. Chen Wang
    • Machine Learning, Theoretical Computer Science, Learning Theory, Sublinear Algorithms, Biostatistics