来小毛给他整个🔥,草!走!忽略 ጿ ኈ ቼ ዽ ጿ

I am a first-year Ph.D. candidate at Michigan State University supervised by Jiliang Tang. And I received my bachelor degree from the Elite Program, Software Academy at the University of Electronic Science and Technology of China in 2022. I have won the best short paper award in CIKM2021 as the first author.

My current research interests lie primarily in understanding the black box of DNN (forward process) and the causality of a dataset-generating process. I believe that all the techniques for solving the generalization problem, such as contrastive learning, meta-learning, and domain generalization, share some similar assumptions on the data generating process. (I think Matrix Factorization can be a good tool for solving the problem.) Revolving on this ultimate goal, I mainly study the following topics: Causal discovery and o.o.d problem on graph-structured data and ranking data, Fundamental Research on Deep Learning(Initialization strategy, Regularization method, Understanding with an unified view).

I enjoy my life more than research and I am certainly a heavy emotional person with sincerity, which is always thankful to those persons in my life through: relatives, teachers, leaders, precious friends. My interests majorly lies in singing (really good at it), long-distance running, playing guitar. I would like to try all kinds of sports in my spare time.

Selected publication

Major Research Topics

  • Causal Discovery & o.o.d problem on information retrivial and graph-structured data
  • Fundamental Research on Deep Neuron Network especially Graph Neural Network (i.e. initialization strategy, regularization methods, understanding with the unify view)

Familiar Research Interests

  • Financial Knowledge Graph
  • Controlable molecule generation
  • Knowledge Graph Construction(NER, Document-level relation extraction)
  • Knowledge Graph Completion
  • Session Recommendation System
  • Click-Through Rate (CTR)

Service

  • ICML 2022
  • NeurIPS 2022 (additionalone workshop)
  • KDD 2022
  • CIKM 2022
  • WSDM 2023
  • AAAI 2023

Recent Activity

I am actively particpiating in a new AI community: MLNLP. I am also a hoster in AITIME. Welcome to my visit my Chinese blog at Zhihu with more than 1700 followers. New blogs in English are now moved into this website.

  • Serve as the committee member to host the 9th seminar of MLNLP community. Looking forward to your participation! [news]
  • I host a PhD debate about the backdoor attack in deep learning. See in link video. It is happy to see that there are 22,189 persons watching our live discussion online.
  • Manage communication group of CIKM2022, NeurIPS2022, LoG2022, WSDM2023, more details in link

Internship

Microsoft Research Asia (January, 2021 - November, 2021)

I was the first post-2000s generation research intern in the Data Knowledge Intelligent Group (Used to be called Software Analysis Group) leaded by Dongmei Zhang. Fortunately I was guided by Principal Researcher Qiang Fu, Researcher Lun Du, and Senior Principal Researcher Manager Shi Han. And my research topic in MSRA are: initialization strategy, regularization method, Unsupervised Domain Adaptation on Graph with three paper published.

My achievement in MSRA are:

  • Get the star of tomorrow award (top 10% intern)
  • Get the CIKM2021 best short paper award as the first author.
  • Participate in the KDD CUP2021 to handle large-scale graph and get the rank of 23th
  • Co-founded MS-Intern Guitar Club with Jianan Zhao.
  • Baidu (March, 2022 - now)

I am now a research intern in search strategy department in Baidu supervised by Lixin Zou. Now my research topic in Baidu is Unbiased Learning To Rank. I am still focusing on the unifed view on Graph Neural Network. If as expected, my achievement in Baidu will be:

  • One dataset paper on Unbiased Learning to rank problem. The paper will provide new practical challenges on this task.
  • Host the WSDM CUP on the above practical dataset.
  • One full paper for causal disocvery on unbiased learning to rank problem.
  • One abstract paper for an unified view on graph neural network.

Education

Michigan State University (September 2022 - present)

I am a Ph.D. candidate in DSE lab at Michigan State University, supervised by Jiliang Tang.

University of Electronic Science and Technology of China (September 2018 - June 2022)

I major in software engineering and fortunately selected as a member of the Elite program (the international class)

My achievements in UESTC are:

Support

This page is supported by Hanlin Lan, one of my best friends in undergraduate period. Thanks for his great help.