Biography

I am an Assistant Professor in Computer Science at Emory University. Before that, I received my PhD in Computer Science at University of Illinois, Urbana Champaign, where I was working in the Data Mining Group led by Prof. Jiawei Han. Further before, I received my Bachelor of Engineering Degree in Computer Science in 2014, from the Chu Kochen Honors College, Zhejiang University, where I was working in the State Key Lab of CAD&CG under Prof. Xiaofei He.

My research interests lie in advancing the technology of graph data mining, applied machine learning, and structured information systems, as well as their applications in biomedical informatics, knowledge bases, social networks and recommender systems.

Motivated students interested in machine learning and data mining are welcome to get in touch for brainstorms and discussions :)

Contact

Latest News!

[2020.10] Congratulations to Wenjie and Yuanzhen for getting our two papers on evolutionary graph prediction and dynamic network embedding accepted by WSDM 2021 (AR 18.6%).

[2020.10] Congratulations to Yanchao for getting our work on multi-facet recommendation with spherical embedding accepted by ICDE 2021 (full paper research track first round).

[2020.08] Two regular long papers on taxonomy-aware network embedding and text-rich network community detection have been accepted by ICDM 2020 (9.8%). One step closer towards PhD graduation :).

[2020.05] Our work in collaboration with researchers in Pinterest and Stanford on web-scale contextualized graph neural networks has been accepted by KDD 2020 ADS track (oral 5.8%).

[2020.05] Our work in collaboration with researchers in UIUC and POSTECH (South Korea) on differentiable multi-aspect network embedding has been accepted by KDD 2020 Research track.

[2020.05] I am honored to receive the UIUC 2020 Doctoral Dissertation Completion Fellowship ($20,000), which is awarded to 20 candidates (from 20 departments) out from 74 nominations (from 48 departments) across the whole university.

[2020.05] I will be joining Emory University Dept. of Computer Science as a tenure-track Assistant Professor in September this year. Cor prudentis possidebit scientiam!

[2020.04] I am visiting University of Oxford and collaborating with Prof. Thomas Lukasiewicz and his team on structured information extraction from multi-media data this summer.

[2020.04] Our pioneering work on neural end-to-end text-to-graph generation has been accepted by SIGIR 2020.

[2020.04] My collaboration with researchers in Sun Yat-sen University on adversarial perturbation in discrete data has led to a full paper accepted by SIGIR 2020.

[2020.04] My work with students in UIUC on GNN aggregation mechanisms has been accepted by IJCAI 2020. Congratulations to the authors!

[2020.03] Our survey and benchmark project towards heterogeneous network representation learning has been released on Arxiv and GitHub.

[2020.02] I will deliver research talks in Emory University, University of Florida and University of Sydney.

[2020.01] I am visiting my alma mater, Zhejiang University, for the first time after my graduation five years ago.

[2019.11] I will deliver research talks in Northwestern University, Simon Fraser University, and University of British Columbia.

[2019.10] Our collaboration with LinkedIn Economic Graph Research has led to another paper accepted by WSDM 2020 (after CIKM 2019).

[2019.09] I am invited to attend and give a talk in the Great Lakes Workshop on Data Science.

[2019.09] My work with students in UIUC on conditional graph generation has been accepted by NeurIPS 2019.

[2019.08] My two new leading research papers on context-rich network construction have been accepted by CIKM 2019 and ICDM 2019.

[2019.07] The Han Family will get together in San Francisco. Happy birthday Prof Han!

[2019.06] Our demo about Cube Networks has been accepted by KDD 2019.

[2019.05] I am working in Pinterest Lab this summer with the Applied Science team led by Prof. Jure Leskovec.

Citations
Leading Projects
Close Mentees
Countries

Selected Publications

Services and Activities

  • [2020] PC member for the 2021 WWW Conference.
  • [2020] PC member for the 2021 AAAI Conference.
  • [2020] PC member for the 2020 ECML-PKDD Conference.
  • [2020] PC member for the 2020 WISE Conference.
  • [2019] PC member for the 2020 AAAI Conference.
  • [2019] PC member for the 2019 WISE Conference.
  • [2020] Reviewer for the 2021 WSDM Conference.
  • [2020] Reviewer for the 2020 ICDM Conference.
  • [2020] Reviewer for the 2020 KDD Conference.
  • [2019] Reviewer for the 2020 WWW Conference.
  • [2019] Reviewer for the 2019 NeurIPS Conference.
  • [2019] Reviewer for the 2019 ICDM Conference.
  • [2018] Reviewer for the 2019 KDD Conference.
  • [2019] Reviewer for the 2019 ICML Conference.
  • [2018] Reviewer for the 2019 WWW Conference.
  • [2018] Reviewer for the 2019 WSDM Conference.
  • [2018] Reviewer for the 2018 CIKM Conference.
  • [2018] Reviewer for the 2018 KDD Conference.
  • [2018] Started to serve as a reviewer for the Access journal.
  • [2017] Started to serve as a reviewer for the TNNLS journal.
  • [2017] Started to serve as a reviewer for the TKDE journal.
  • [2020.03] Research Seminar in University of Sydney (virtual), Sydney, Australia.
  • [2020.03] Research Seminar in University of Florida, Atlanta, USA.
  • [2020.03] Research Seminar in University of North Texas, Denton, USA.
  • [2020.02] Research Seminar in University of Simon Fraser University, Burnaby, Canada.
  • [2020.02] Research Seminar in Emory University, Atlanta, USA.
  • [2020.01] Research Seminars in Zhejiang University, Hangzhou, China.
  • [2019.12] Research Seminar in University of British Columbia, Vancouver, Canada.
  • [2019.11] Research Seminar in Northwestern University, Chicago, USA.
  • [2019.09] Invited talk at the Great Lakes Workshop on Data Science in University of Notre Dame, Portage, USA.
  • [2018.11] Research Seminars in Fudan University and Shanghai Jiao Tong University, Shanghai, China.
  • [2018.08] Session Chair for Embeddings and Learning for the 2018 ASONAM Conference, Barcelona, Spain.
  • [2018.03] Invited Talk at Snap Inc., Los Angeles, USA.
  • [2017.06] Research Seminars in Tsinghua University and University of Science and Technology, Beijing, China.

Teaching

  • [Fall 2020] Instructor, CS 584 Topics: Graph Data Mining, Emory University.
  • [Spring 2020] TA, CS 412: Introduction to Data Mining, Coursera.
  • [Spring 2019] Lead TA, CS 512: Data Mining: Principles and Algorithms, UIUC.
  • [Spring 2018] Lead TA, CS 512: Data Mining: Principles and Algorithms, UIUC.
  • [Spring 2017] TA, CS 412: Introduction to Data Mining, UIUC.
  • [Spring 2016] TA, CS 511: Advanced Data Management, UIUC.
  • [Fall 2015] TA, CS 412: Introduction to Data Mining, UIUC.

Students Mentored

  • [2018-current] Jieyu Zhang. PhD student in UW, Seattle.
  • [2018-current] Haonan Wang. PhD student in UIUC, Urbana.
  • [2018-current] Yuxin Xiao. Master student in CMU, Pittsburg.
  • [2019] Peiye Zhuang. PhD student in UIUC, Urbana.
  • [2019] Wenhan Shi. SDE in LinkedIn, Sunnyvale.
  • [2018-2019] Siyang Liu. SDE in ServiceNow, Santa Clara.
  • [2018-2019] Dai Teng. SDE in Amazon, Seattle.
  • [2018] Sayantani Basu. PhD student in UIUC, Urbana.
  • [2018] Xikun Zhang. PhD student in Stanford, Stanford.
  • [2018] Yichen Feng. Founder of QuestionBank LLC, Shanghai.
  • [2017-2018] Mengxiong Liu. Master student in CMU, Pittsburg.
  • [2017-2018] Zongyi Wang. SDE in Google, Mountain View.
  • [2017-2018] Aravind Sankar. PhD student in UIUC, Urbana.
  • [2017] Lanxiao Bai. SDE in Cerner, Kansas City.
  • [2016-2017] Hanqing Lu. Applied scientist in Amazon, Mountain View.

Education

University of Illinois, Urbana Champaign, 2014-2020
Advisor: Prof. Jiawei Han
GPA 3.95/4.0; Research interests: graph data mining, network data science, applied machine learning
  • Thesis: Multi-Facet Graph Mining with Contextualized Projections.
  • Coordinated the SocialCube research project with DARPA under Agreement No. W911NF-17-C-0099.
  • Collaborated on the Intelligent Social Media and Sensor Stream Summarization and Situation Analysis research program with US Army Research Lab (ARL) under Cooperative Agreement No. W911NF-09-2-0053.
  • Collaborated on the Multi-Dimensional Structuring, Summarizing and Mining of Social Media Data research program with US National Science Foundation (NSF) under grant No. IIS 16-18481.
  • Revised Prof Han’s popular textbook Data Mining: Concepts and Techniques for the 4th Edition
  • Won course project champion (CS412 Data Mining 2014 Fall UIUC) for fraud detection on Kaggle.
  • Received Yunni & Maxine Pao Memorial Fellowship for research accomplishments and leadership activities.
  • Received the UIUC 2020 PhD Completion Fellowship (awarded to 20 candidates from 20 departments out from 74 nominations from 48 departments across the whole university).
Chu Kochen Honors College, Zhejiang University, 2010-2014
Advisor: Prof. Xiaofei He
GPA: Major: 3.97/4.0, Overall: 3.86/4.0; Ranking: Top 2% of 201 students
  • Developed novel manifold learning algorithms for dimension reduction and image retrieval.
  • Won Chinese National Scholarship for Outstanding Merits, Zhejiang University (Top 1%).
  • Won Chinese National Fellowship for Excellent Intellects in Research, Zhejiang University (Top 1%).
NOI Coach: Mr. Zhongyou Wen
  • Won Yu Shouzhi scholarship (Top 1 among 800+).
  • Won First Prize in National Olympic in Informatics in Provinces.

Industry Experiences

Research Intern, Research Lab, Pinterest Inc., San Francisco
Supervisors: Dr. Aditya Pal, Prof. Jure Leskovec, Summer 2019

Empowered GraphSage for web-scale contextualized recommendation through context-aware aggregation and Hadoop-based stream training on heterogeneous pin-board networks.

Research Intern, Places Data & AI Research, Facebook Inc., New York
Supervisors: Dr. Do Huy Hoang, Dr. Tomas Mikolov, Summer 2018

Developed a two-step data-driven pipeline of feature generation and metric learning for place embedding to leverage ad-hoc place attributes and noisy training data towards efficient place deduplication.

Remote Research Contractor, Economics Graph Research, LinkedIn Co., Sunnyvale
Supervisors: Dr. Myungwan Kim, Dr. Shipeng Yu, 2018-2019

Developed a relation profiling algorithm based on multiple signals including user attributes, link structures and diffusive messages in the social network with novel multi-modal graph autoencoders.

Research Intern, Big Data Research, Didichuxing Inc., Beijing
Supervisors: Prof. Xuewen Chen, Prof. Jieping Ye, Summer 2017

Constructed the transportation HIN (heterogeneous information network) based on DiDi's travel data and developed a pattern-aware HIN embedding algorithm for passenger experience prediction.

Research Intern, Research Lab, Snap Inc., Los Angeles
Supervisors: Dr. Jie Luo, Dr. Li-Jia Li, Summer 2016

Developed a joint learning framework of user links and attributes for friend recommendation and interest targeting. Implemented a Spark pipeline and scaled it to networks with millions of nodes and billions of edges.

Software Engineer Intern, Demographics ads serving, Google LLC, Seattle
Supervisor: Dr. Tianyi Wu, Summer 2015

Implemented data extraction and inventory analysis pipeline using flume C++. Implemented an online simulation of ads serving and an offline optimal algorithm based on max flow to analyze the inventory.

Traveling

China

Keywords:
home, family, best food

USA

Keywords:
Alaska, road trip, national parks, corn fields

Canada

Keywords:
cold and vast, magnificent mountains and lakes

Mexico

Keywords:
tequila, hearty people, colorful and vivid towns

Caribbean

Keywords:
peaceful, adventurous, aow, kite surf, island hopping, 7 countries

Chile

Keywords:
Easter island, moai, peaseful, diverse views, volcano, gobi, glacier

Peru

Keywords:
Amazon jungles, Machu Picchu, Inca trail, black beach

Ecuador

Keywords:
Galapagos, equatorial, overnight buses, lack of order

Bolivia

Keywords:
Uyuni, altitude, salt laguna, flamingo, geyser, dead sea

Cuba

Keywords:
nostalgia, no internet, vintage car, carriage, cigar, rum, chill

Australia

Keywords:
magnificent ocean view, seafood, beef, mines, kangaroo

Malaysia

Keywords:
Semporna, scuba diving, jalan alor night food, massage

France

Keywords:
Mont Saint-Michel, Eiffel, Musee du Louvre, Notre Dame, Loire valley castles, Eze

UK

Keywords:
great cocktails, speakeasy, gin, rain, Oxford, Edinburgh, Scotch whiskey

Spain

Keywords:
Antoni Gaudi, paella, tapas, Sangria

Ireland

Keywords:
green, Guinness, windy, lively night life

Greece

Keywords:
Acropolis of Athens, white and blue, expensive and inefficient

Turkey

Keywords:
kebab, sheesha, Rome, Muslim, everyone knows Chinese, balloon

Nepal

Keywords:
namaste, temples, buddha, harshish

Thailand

Keywords:
college graduation trip, vikings, motorcycle, rain, lovely old times