Hi there!

I am currently a 3rd-year Ph.D. student in the Department of Computer Science and Engineering at Texas A&M University. I am working at the DATA Lab under the supervision of Prof. Xia (Ben) Hu.

My research interests lie in the general area of data mining and machine learning.

News

  • 2022.05: Thrilled to start my summer internship at Snap Inc., work with Neil Shah.
  • 2022.05: One paper accepted by ICML2022.
  • 2022.01: One paper accepted by ICLR2022.
  • 2022.01: One paper accepted by TheWebConf2022.

Publications

  • G-Mixup: Graph Augmentation for Graph Classification. [PDF]
    • Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu.
    • ICML 2022, Long Presentation
  • Generalized Demographic Parity for Group Fairness. [PDF]
    • Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu.
    • ICLR 2022
  • Geometric Graph Representation Learning via Maximizing Rate Reduction. [PDF] [SLIDES] [CODE]
    • Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu.
    • TheWebConf2022
  • AutoRec: An Automated Recommender System. [PDF] [CODE]
    • Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Jin Haifeng, Xia Hu.
    • Recsys2020, Demo
  • FlowScope: Spotting Money Laundering Based on Graphs. [PDF]
    • Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng.
    • AAAI2020
  • Embedding Geographic Information for Anomalous Trajectory Detection. [PDF]
    • Ding Xiao, Li Song, Ruijia Wang, Xiaotian Han, Yanan Cai, Chuan Shi.
    • World Wide Web 2020
  • Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. [PDF]
    • Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li.
    • KDD2019
  • Deep Collaborative Filtering with Multi-aspect Information in Heterogeneous Networks. [PDF]
    • Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip, S Yu.
    • TKDE2019
  • Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. [PDF] [CODE]
    • Xiaotian Han, Chuan Shi, Senzhang Wang, S Yu Philip, Li Song.
    • IJCAI2018
  • Representation Learning with Depth and Breadth for Recommendation using Multi-view Data. [PDF]
    • Xiaotian Han, Chuan Shi, Lei Zheng, S Yu Philip, Jianxin Li, Yuanfu Lu.
    • APWeb-WAIM2018
  • Anomalous Trajectory Detection Using Recurrent Neural Network. [PDF]
    • Li Song, Ruijia Wang, Ding Xiao, Xiaotian Han, Yanan Cai, Chuan Shi.
    • ADMA2018, Best Paper Award

Internships

  • Microsoft Research Asia, Beijing, China. Mar. 2019 - May. 2019
    • Research Intern
    • Hyperparameter Optimization and AutoML.
  • Alibaba Group, Hangzhou, China. Jun. 2018 - Sept. 2018
    • Research Intern
    • Query recomendataion in Taobao App.

Educations

  • Aug. 2019 - now, Ph.D. Student, Computer Science, Texas A&M University.
  • Sept. 2016 - Jun. 2019, Master Degree, Computer Science, Beijing Univ. of Posts and Telecommunications.
  • Sept. 2011 - Jun. 2015, Bacheler Degree, Communication Engineering, Shandong University.

Awards

  • 2020, Best Reviewer Award, CCF Transactions on Pervasive Computing and Interaction
  • 2018, 1st National Graduate Scholarship, Beijing University of Posts and Telecommunications, Beijing, China.
  • 2017, 1st Student Scholarship, Beijing University of Posts and Telecommunications, Beijing, China.

Professional Acitivities

  • Conference Reviewer: ICML2022, SIGIR2022, AAAI2022, AAAI2021, IJCAI2021


Xiaotian Han