News


25 April 2017
Three full papers advised by me are accepted by IJCAI 2017! One is attentional factorization machines for learning the weight of feature interactions, one is about aspect extraction for monitoring brands, and the other is about implicit discourse relation recognition.

10 April 2017
Four full papers are accepted by SIGIR 2017! One is my first-author work on neural factorization machines, and the other three are students' work advised by me on cross-domain, multi-media and playlist recommendation, respectively!

7 April 2017
I successful presented our two papers about implicit recommender systems at WWW 2017 Perth!

27 March 2017
I am invited to be a program committee member (both full and short paper) in CIKM 2017

11 Feb. 2017
I am invited to be a program committee member (full paper) in MM 2017

21 Dec. 2016
Two full papers are accepted by WWW 2017. One is about Neural Collaborative Filtering and the other very solid work with Steffen Rendle is about Factorization Machines for Implicit Feedback

15 Nov. 2016
One paper about App Recommendation is accepted by Transactions on Information Systems (TOIS) as a full paper.

11 Nov. 2016
I am invited to be a program committee member (full paper) in SIGIR 2017.

5 Nov. 2016
I am invited to be a program committee member (short paper) in SIGIR 2017.

14 Sep. 2016
Our work BiRank: Towards Ranking on Bipartite Graphs is accepted by Transactions on Knowledge and Data Engineering (TKDE) as a full paper.


20 July 2016
I succefully present our two papers in SIGIR 2016. The Discrete CF paper achieves the Best Paper Award Honorable Mention!

05 July 2016
I am invited to be the reviewer of World Wide Web Journal (WWWJ)..

22 June 2016
Two papers have been accepted to ACMMM 2016 as full research paper! One is about contextual image-tweet recommendation and the other is about venue prediction from micr-videos.

30 March 2016
Two papers have been accepted to SIGIR 2016 as full research paper! One is about fast matrix factorization for implicit feedback and the other is about discrete hashing for collaborative filtering.

24 March 2016
I have successfully defended my thesis and got the PhD degree! My thesis title is "Exploiting User Comments for Web Applications".

7 March 2016
I am invited to be a program committee member in EMNLP 2016.

23 Jan. 2016
I am invited to be a program committee member (short paper) in SIGIR 2016.

2 Dec. 2015
I am invited to be the reviewer of Journal of Information Science.

22 Oct. 2015
I presented my work about review-aware recommendation at CIKM'15 Melbourne, check the slides here!

25 Sep. 2015
My summer internship in Google research successfully finishes. Many thanks to my hosts Bhargav Kanagal and Steffen Rendle!

16 Aug. 2015
I am invited to be a program committee member in WWW 2016 .

4 Jul. 2015
Our full paper "Review-aware Explainable Recommendation by Modeling Aspects" is accepted by CIKM 2015.

22 Jun. 2015
I start my summer internship in Google MTV office. Enjoy the summer at the Bay area!

24 Apr. 2015
My thesis proposal "Mining Web 2.0 User Comments" passes. I am expected to graduate (submit thesis) on Dec. 2015.

3 Mar. 2015
I am invited to be the reviewer of Journal of Web Engineering.

Xiangnan HE 

Research Fellow

Lab for Media Search
School of Computing
National University of Singapore

Computing 1, Computing Drive, Singapore 117417

Email: xiangnanhe at gmail dot com

I am a research fellow with Prof. Chua Tat-Seng since 2016. Prior to that, I did my PhD with Prof. Kan Min-Yen from 2011 to 2015. Before that, I obtained my bachelor degree in East China Normal University, advised by Prof. Jin Cheqing and Prof. Zhou Aoying. In addition, I was an intern at Google Research (summer 2015), advised by Bhargav Kanagal and Steffen Rendle. Here is my CV.

My research interests span recommender system, information retrieval, natural language processing and multi-media. My work on recommender system has received the Best Paper Award Honorable Mention of ACM SIGIR 2016. Moreover, I have served as the PC member for top-tier conferences including SIGIR, WWW, MM, CIKM and EMNLP, and the invited reviewer for prestigious journals including TKDE, TOIS, WWWJ and TIIS.

Invited Talks

Neural Collaborative Filtering   
- Shandong University, May 20, 2017 (invited by Prof. Nie Liqiang)
- WWW 2017, Perth, Australia, April 5, 2017
Recent Advance on Recommendation Methods for Implicit Feedback   
- Tsinghua University, April 19, 2017 (invited by Prof. Cui Peng)
- Renmin University, April 18, 2017 (invited by Prof. Dou Zhicheng)
- Chinese Academy of Sciences, April 12, 2017 (invited by Prof. Guo Jiafeng)
A Generic Coordinate Descent Framework for Learning from Implicit Feedback   
- WWW 2017, Perth, Australia, April 7, 2017
Collaborative Filtering for Implicit Feedback   
- Tsinghua University, December 21, 2016 (invited by Prof. Zhang Min)
- Hefei University of Technology, December 16, 2016 (invited by Prof. Hong Richang)
- Zhejiang University, December 15, 2016 (invited by Prof. Xiao Jun)

Publications


pdf
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He & Tat-Seng Chua
SIGIR 2017 (Accept rate: 22%)   

pdf
Item Silk Road: Recommending Items from Information Domains to Social Users
Xiang Wang, Xiangnan He*, Liqiang Nie & Tat-Seng Chua
SIGIR 2017 (Accept rate: 22%)    *Corresponding author

pdf
Attentive Collaborative Filtering: Multimedia Recommendation with Feature- and Item-level Attention
Jingyuan Chen, Hanwang Zhang, Xiangnan He*, Liqiang Nie, Wei Liu & Tat-Seng Chua
SIGIR 2017 (Accept rate: 22%)    *Corresponding author

pdf
Embedding Factorization Models for Jointly Recommending User Generated Lists and Their Contained Items
Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Shuizhi Zhu, Shunxiang Wu & Tat-Seng Chua
SIGIR 2017 (Accept rate: 22%)    Codes

pdf
Attributed Social Network Embedding
Lizi Liao, Xiangnan He*, Hanwang Zhang, & Tat-Seng Chua
IEEE Transactions on Knowledge and Data Engineering (under submission)    Codes    *Corresponding author

pdf
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He*, Hanwang Zhang, Fei Wu & Tat-Seng Chua
IJCAI 2017 (Accept rate: 26%)       *Corresponding author

pdf
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media
Lizi Liao, Xiangnan He*, Zhaochun Ren, Liqiang Nie, Huan Liu & Tat-Seng Chua
IJCAI 2017 (Accept rate: 26%)    *Corresponding author

pdf
SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition
Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, & Min-Yen Kan
IJCAI 2017 (Accept rate: 26%)   

pdf
Neural Collaborative Filtering
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu & Tat-Seng Chua
WWW 2017 (Accept rate: 17%)    Codes    Slides

pdf
A Generic Coordinate Descent Framework for Learning from Implicit Feedback
Immanuel Bayer*, Xiangnan He*, Bhargav Kanagal & Steffen Rendle
WWW 2017 (Accept rate: 17%)    *Joint work at Google.

pdf
BiRank: Towards Ranking on Bipartite Graphs
Xiangnan He, Ming Gao, Min-Yen Kan & Dingxian Wang
IEEE Transactions on Knowledge and Data Engineering (TKDE 2017)   

pdf
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts
Da Cao, Xiangnan He, Liqiang Nie, Xiaochi Wei, Xia Hu, Shunxiang Wu & Tat-Seng Chua
ACM Transactions on Information Systems (TOIS 2017)    Codes

pdf
Version-sensitive mobile App recommendation
Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Jialie Shen, Shunxiang Wu & Tat-Seng Chua
Information Science (2017)    Codes

pdf
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
Xiangnan He, Hanwang Zhang, Min-Yen Kan & Tat-Seng Chua
SIGIR 2016.   (Accept rate: 18%)    Codes    Slides

pdf
Discrete Collaborative Filtering
Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan & Chua Tat-Seng
SIGIR 2016.   (Accept rate: 18%)    Codes    Slides (Best Paper Award Honorable Mention)

pdf
Context-aware Image Tweets Modelling and Recommendation
Tao Chen, Xiangnan He & Min-Yen Kan
MM 2016.   (Accept rate: 20%)    Codes

pdf
Shorter-is-Better: Venue Category Estimation from Micro-Video
Jianglong Zhang, Liqiang Nie, Xiang Wang, Xiangnan He, Xianglin Huang & Tat-Seng Chua
MM 2016.   (Accept rate: 20%)    Codes

pdf
TriRank: Review-aware Explainable Recommendation by Modeling Aspects
Xiangnan He, Tao Chen, Min-Yen Kan & Xiao Chen
CIKM 2015.   (Accept rate: 18%)    Slides

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Relating an Image Tweet’s Text and Images
Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan & Dongyuan Lu
AAAI 2015.   (Accept rate: 26.7%)    Codes

pdf
 
Predicting the Popularity of Web 2.0 Items Based on User Comments
Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu & Kazunari Sugiyama
SIGIR 2014.   (Accept rate: 21%)   Slides

pdf
Comment-based Multi-View Clustering of Web 2.0 Items
Xiangnan He, Min-Yen Kan, Peichu Xie & Xiao Chen
WWW 2014.   (Accept rate: 12.9%) Supplement  Slides  Codes

pdf
Mining Scientific Terms and their Definitions: A Study of the ACL Anthology
Yiping Jin, Min-Yen Kan, Jun-Ping Ng & Xiangnan He
EMNLP 2013.   (Accept rate: 27%)   Poster  Dataset

pdf
Recording How-Provenance on Probabilistic Databases
Ming Gao, Xiangnan He, Cheqing Jin, Xiaoling Wang & Aoying Zhou
APWEB 2010.

Professional Services

Co-chair of CIKM 2017 Workshop on Social Media Analytics for Smart Cities
Program Committee Member of ACM SIGIR (2017, 2016)
Program Committee Member of ACM CIKM (2017)
Program Committee Member of ACM MM (2017)
Program Committee Member of EMNLP (2016)
Program Committee Member of WWW (2016)
Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
Invited Reviewer for KSII Transactions on Internet and Information Systems (TIIS)
Invited Reviewer for World Wide Web Journal (WWWJ)
Invited Reviewer for Journal of Information Science
External Reviewer of WSDM 2017, SIGIR 2015, NAACL 2015
External Reviewer of Transactions on Pattern Analysis and Machine Intelligence (PAMI).
External Reviewer of Information Retrieval Journal (IRJ).

Internships

Google Research
Research Intern, Strategic Technology Group, supervised by Bhargav Kanagal and Steffen Rendle.
Mountain View, United States    Jun. 2015 - Sep. 2015
Google Inc.
Software Engineering Intern, Local Search Group, supervised by Thomas Sidoti and Sheng Zhang.
New York City, United States    Jun. 2014 - Sep. 2014
Microsoft Inc.
Software Engineering Intern, Operating System Group.
Shanghai, China    Sep. 2010 - Dec. 2011
Accenture Inc.
IT Consult Intern, Media Markt project.
Shanghai, China    Jan. 2011 - Apr. 2011

Teaching Assistants

CS5228 Knowledge Discovery and Data Mining
2014/2015 Semester 1
CS3245 Information Retrieval
2013/2014 Semester 2
CS3245 CS1020 Data Structure and Algorithms
2013/2014 Semester 1

Useful Links

NUS SoC Conference Rankings
NUS SoC Journal Ranking
NUS SoC Courses
Machine Learning Reading List
Deep Learning Reading List

Last update: June 10, 2017. Webpage template borrows from Weinan Zhang.