News


1 Nov 2018
Two papers are accepted by AAAI 2019. One performs knowledge graph reasoning for explainable recommendation, one explores self-attention for Video QA.

22 Oct 2018
One paper about session-based recommendation is accepted by WSDM 2019.

27 Sep 2018
One paper about using multiple types of user behaviors for recommendation is accepted by ICDE 2019.

2 July 2018
Three full papers are accepted by MM 2018. One paper about multimodal dialog systems is in the Best Paper Final List.

16 May 2018
One full paper is accepted by UAI 2018.

27 April 2018
Two awards from WWW 2018! One short paper receives Best Poster Award, and one long paper receives Best Paper Award Honorable Mention.

23 April 2018
Two papers are accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)!


22 April 2018
Call for papers: MMSJ Special Issue on Multimedia Recommendation.

21 April 2018
Two full research papers are accepted by ACL 2018!

17 April 2018
Five full research papers are accepted by IJCAI 2018!

12 April 2018
Six full research papers are accepted by SIGIR 2018!

5 March 2018
Two tutorials are accepted by SIGIR 2018!

5 March 2018
I am invited to be a program committee member in MM 2018 and CIKM 2018.

25 Feb 2018
One poster paper advised by me is accepted by WWW 2018, about negative sampler for BPR.

28 Dec 2017
I am invited to be a program committee member in KDD 2018 and SIGIR 2018.

23 Dec 2017
One full paper about entity resolution is accepted by ICDE 2018.

22 Dec 2017
Three full papers advised by me are accepted by WWW 2018! About tree+embedding for explainable recommendation, aesthetic-aware clothing recommendation, and hypergraph learning.

4 Dec 2017
Our tutorial proposal on "Deep Learning for Matching in Search and Recommendation" is accepted by WWW 2018.

3 Dec 2017
I am invited to be a program committee member in ACL 2018 and PAKDD 2018.


13 Nov 2017
I am invited to be a program committee member in IJCAI 2018.


9 Nov 2017
One paper about 3D object retrieval is accepted by AAAI 2018, one paper about venue prediction is accepted by MMM 2018.

11 August 2017
I am invited to be a program committee member (full paper) in WWW 2018.

10 August 2017
I have successfully presented my work on Neural Factorization Machines at SIGIR 2017.

24 July 2017
One full paper advised by me about user personality for AI is accepted by MM 2017 Brave New Idea track as an oral paper!

19 July 2017
I am invited to be a program committee member (full paper) in WSDM 2018

3 July 2017
Three full papers are accepted by MM 2017

27 June 2017
I am invited to be a program committee member in AAAI 2018

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 IEEE 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 

Senior Research Fellow

Lab for Media Search
School of Computing
National University of Singapore

Computing 1, Computing Drive, Singapore 117417

Email: xiangnan at comp.nus.edu.sg

I will be joining the University of Science and Technology of China (USTC, 中国科学技术大学, 合肥) as a Professor since Dec 2018. I am actively hiring Postdocs (i.e., contracted associate professors) and will provide competitive salary. Please drop me your CV if you are interested in working with me.

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 in WWW 2018 and SIGIR 2016. Moreover, I have served as the PC member for top-tier conferences including SIGIR, WWW, MM, KDD, WSDM, CIKM, AAAI, and ACL, and the invited reviewer for prestigious journals including TKDE, TOIS, TKDD, TMM, and WWWJ.

Education

National University of Singapore (NUS)
Ph.D. in Computer Science                   July 2011 - April 2016, Singapore
Advisor: Prof. Kan Min-Yen
East China Normal University (ECNU)
Bachelor in Software Engineering      Sep 2007 - June 2011, Shanghai
Advisor: Prof. Jin Cheqing and Prof. Zhou Aoying

Experiences

Postdoc Research Fellow, National University of Singapore, May 2016 - Present
Advisior: Chua Tat-Seng (NExT: NUS-Tsinghua Extreme Search Center)
Research Intern, Google Research (Mountain View), June 2015 - Sep 2015
Advisior: Bhargav Kanagal and Steffen Rendle (Strategic Technology Group)
Software Engineering Intern, Google (New York), June 2014 - Sep 2014
Advisior: Thomas Sidoti and Sheng Zhang (Local Search Group)
Software Engineering Intern, Microsoft (Shanghai), Sep 2010 - Dec 2010
Advisior: Leon Chen (Operating System Group)

Publications [Google Scholar] [DBLP]


In the Year of 2019:


pdf
Explainable Reasoning over Knowledge Graph Paths for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao & Tat-Seng Chua
AAAI 2019 (Full, Accept rate: 16.2%)    Codes   

pdf
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Chuang Gan & Xiangnan He
AAAI 2019 (Full, Accept rate: 16.2%)   

pdf
A Simple Convolutional Generative Network for Next-item Recommendation
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose & Xiangnan He
WSDM 2019 (Full, Accept rate: 16.4%)    Codes   

pdf
Neural Multi-Task Recommendation from Multi-Behavior Data
Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua & Depeng Jin
ICDE 2019 (Short)   

pdf
Fast Matrix Factorization with Non-Uniform Weights on Missing Data
Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren & Tat-Seng Chua
IEEE Transactions on Neural Networks and Learning Systems (TNNLS, Minor Revision)    Codes   

pdf
Adversarial Training Towards Robust Multimedia Recommender System
Jinhui Tang, Xiaoyu Du, Xiangnan He*, Fajie Yuan, Qi Tian & Tat-Seng Chua
IEEE Transactions on Knowledge and Data Engineering (TKDE, Major Revision)   Codes    *Corresponding

pdf
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data
Jingtao Ding, Guanghui Yu, Xiangnan He, Yong Li & Depeng Jin
IEEE Transactions on Knowledge and Data Engineering (TKDE, Major Revision)  

pdf
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang & Xiangnan He*
IEEE Transactions on Knowledge and Data Engineering (TKDE, Major Revision)   Codes *Corresponding

pdf
Temporal Relational Ranking for Stock Prediction
Fuli Feng, Xiangnan He*, Xiang Wang, Cheng Luo, Yiqun Liu & Tat-Seng Chua
ACM Transactions on Information Systems (TOIS, Major Revision)   *Corresponding author

pdf
Deep Item-based Collaborative Filtering for Top-N Recommendation
Feng Xue, Xiangnan He*, Xiang Wang, Jiandong Xu, Kai Liu & Richang Hong
ACM Transactions on Information Systems (TOIS, Major Revision)   *Corresponding author

pdf
Attentive Aspect Modeling for Review-aware Recommendation
Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng & Tat-Seng Chua
ACM Transactions on Information Systems (TOIS, Minor Revision)  
In the Year of 2018:


pdf
Adversarial Personalized Ranking for Recommendation
Xiangnan He, Zhankui He, Xiaoyu Du & Tat-Seng Chua
SIGIR 2018 (Full, Accept rate: 21%)    Codes   Slides   

pdf
BiNE: Bipartite Network Embedding
Ming Gao, Leihui Chen, Xiangnan He* & Aoying Zhou
SIGIR 2018 (Full, Accept rate: 21%)    Codes    Slides    *Corresponding author

pdf
Attentive Group Recommendation
Da Cao, Xiangnan He, Lianhai Miao, Yahui An, Chao Yang & Richang Hong
SIGIR 2018 (Full, Accept rate: 21%)    Codes   Slides   

pdf
Fast Scalable Supervised Hashing
Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen & Xin-Shun Xu
SIGIR 2018 (Full, Accept rate: 21%)    Codes   Slides  

pdf
A Personal Privacy Preserving Framework: I Let You Know Who Can See What
Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen & Wei Liu
SIGIR 2018 (Full, Accept rate: 21%)    Codes   Slides  

pdf
Attentive Moment Retrieval in Videos
Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen & Tat-Seng Chua
SIGIR 2018 (Full, Accept rate: 21%)    Codes   Slides  

pdf
Knowledge-aware Multimodal Dialog Systems
Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong & Tat-Seng Chua
MM 2018 (Full, oral, Accept rate: 8.5%)    Codes   Slides   (Best Paper Final List)

pdf
Beyond the Product: Discovering Image Posts for Brands in Soical Media
Francesco Gelli, Tiberio Uricchio, Xiangnan He*, Alberto Del Bimbo & Tat-Seng Chua
MM 2018 (Full, oral, Accept rate: 8.5%)    Codes   Slides   * Corresponding author

pdf
Interpretable Multimodal Retrieval for Fashion Products
Lizi Liao, Xiangnan He, Bo Zhao, Jing-jing Chen, Chong-Wah Ngo & Tat-Seng Chua
MM 2018 (Full, poster, Accept rate: 27.5%)    Poster  

pdf
Aesthetic-based Clothing Recommendation
Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong & Zheng Qin
WWW 2018 (Accept rate: 14.8%)    Slides   (Best Paper Award Honorable Mention)

pdf
TEM: Tree-enhanced Embedding Model for Explainable Recommendation
Xiang Wang, Xiangnan He*, Fuli Feng, Liqiang Nie & Tat-Seng Chua
WWW 2018 (Accept rate: 14.8%)    Codes are under request.    Slides   *Corresponding author.

pdf
Learning on Partial-Order Hypergraphs
Fuli Feng, Xiangnan He*, Yiqun Liu, Liqiang Nie & Tat-Seng Chua
WWW 2018 (Accept rate: 14.8%)    Codes are under request.    Slides   *Corresponding author.

pdf
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data
Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li & Depeng Jin
WWW 2018 (Poster)    Codes    (Best Poster Award)

pdf
fBGD: Learning Embeddings from Positive-Only Data Without Sampling
Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua & oemon Jose.
UAI 2018 (Full)    Codes  

pdf
Outer Product-based Neural Collaborative Filtering
Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang & Tat-Seng Chua.
IJCAI 2018 (Full, Accept rate: 20.5%)    Codes   Slides  

pdf
Discrete Factorization Machines for Fast Feature-based Recommendation
Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu & Hanwang Zhang.
IJCAI 2018 (Full, Accept rate: 20.5%)    Codes   Slides  

pdf
Improving Implicit Recommender Systems with View Data
Jingtao Ding, Guanghui Yu, Xiangnan He*, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin & Jiajie Yu.
IJCAI 2018 (Full, Accept rate: 20.5%)    Codes   Slides   *Corresponding author

pdf
A3ˆNCF: An Adaptive Aspect Attention Model for Rating Prediction
Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song & Mohan Kankanhalli.
IJCAI 2018 (Full, Accept rate: 20.5%)    Codes   Slides  

pdf
Cross-Domain Depression Detection via Harvesting Social Media
Tiancheng Shen , Jia Jia , Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Tiropanis Thanassis, Tat-Seng Chua & Wendy Hall.
IJCAI 2018 (Full, Accept rate: 20.5%)    Slides  

pdf
AllVec: Learning Word Representations Without Negative Sampling
Xin Xin, Fajie Yuan, Xiangnan He & Joemon Jose.
ACL 2018 (Full)    Codes   Slides  

pdf
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He & Dawei Yin.
ACL 2018 (Full)    Codes    Slides

pdf
Attributed Social Network Embedding
Lizi Liao, Xiangnan He*, Hanwang Zhang, & Tat-Seng Chua
IEEE Transactions on Knowledge and Data Engineering (TKDE 2018)    Codes    *Corresponding author

pdf
A Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution
Dongxiang Zhang, Long Guo, Xiangnan He, Jie Shao, Sai Wu & Heng Tao Shen
ICDE 2018    Slides  

pdf
NAIS: Neural Attentive Item Similarity Model for Recommendation
Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, & Tat-Seng Chua
IEEE Transactions on Knowledge and Data Engineering (TKDE 2018)    Codes

pdf
Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs
Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie & Tat-Seng Chua
MMM 2018    Poster  

pdf
Group-pair Convolutional Neural Networks for Multi-view based 3D Object Retrieval
Zan Gao, Yu Wang, Xiangnan He & Hua Zhang
AAAI 2018 (Accept rate: 24.6%)    Slides
In the Year of 2017:


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

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%)    Codes    Slides    *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%)    Codes    Slides    *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    Slides   

pdf
How Personality Affects our Likes: Towards a Better Understanding of Actionable Images
Francesco Gelli, Xiangnan He*, Tao Chen & Tat-Seng Chua
MM 2017 (Accept rate: 7.5%; full oral)    Codes    Slides*Corresponding author

pdf
Enhancing Micro-video Understanding by Harnessing External Sounds
Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong & Qi Tian
MM 2017 (Accept rate: 7.5%; full oral)   

pdf
Video Question Answering via Gradually Refined Attention over Appearance and Motion
Dejing Xu, Zhou Zhao, Jun Xiao, Fei Wu, Hanwang Zhang, Xiangnan He & Yueting Zhuang
MM 2017 (Accept rate: 28%; full poster)   

pdf
Multiview and Multimodal Pervasive Indoor Localization
Zhenguang Liu, Li Cheng, Anan Liu, Luming Zhang, Xiangnan He & Roger Zimmermann
MM 2017 (Accept rate: 28%; full poster)   

pdf
Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search
Lei Zhu, Zi Huang, Xiaobai Liu, Xiangnan He, Jingkuan Song & Xiaofang Zhou
IEEE Transactions on Multimedia (TMM 2017)   

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%)    Codes    Slides    *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%)    Slides    *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%)    Slides   

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    Slides  

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


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

pdf
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.

Tutorials


pdf
Deep Learning for Matching in Search and Recommendation
Jun Xu, Xiangnan He, & Hang Li
SIGIR 2018    Slides (2018/7/8 @ Ann Arbor Michigan, US)   

pdf
Information Discovery in E-commerce
Zhaochun Ren, Xiangnan He, Dawei Yin, & Maarten de Rijke
SIGIR 2018    Slides (2018/7/8 @ Ann Arbor Michigan, US)   

pdf
Deep Learning for Matching in Search and Recommendation
Jun Xu, Xiangnan He, & Hang Li
WWW 2018    Slides (2018/04/23 @ Paris, France)   

pdf
Recommendation Technologies for Multimedia Content
Xiangnan He, Hanwang Zhang & Tat-Seng Chua
ICMR 2018    Slides (2018/6/11 @ Yokohama, Japan)   

Invited Talks

Neural Recommender Models: Moving from Shallow Learning to Deep Learning   
- Tianjin University, China, Dec 29, 2017 (invited by Prof. Liu An-An)
- University of Science and Technology of China, Feb 28, 2018 (invited by Prof. Zhang Yongdong)
- Nanyang Technological University, Singapore, March 28, 2018
- Alibaba Incorporation, China, July 1, 2018 (invited by Dr. Zhou Jun)
- DSO National Defense Laboratories, Singapore, Aug 16, 2018 (invited by Huang Yipeng)
Neural Factorization Machines for Sparse Predictive Analytics   
- LinkSure Company, Singapore, June 22, 2017 (invited by Dr. Chang Kuiyu)
- SIGIR 2017, Tokyo, Japan, August 5, 2017
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)
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)

Professional Services

Guest Editor of MMSJ Special Issue on Multimedia Recommendation and Multi-modal Data Analysis
Co-chair of CIKM 2017 Workshop on Social Media Analytics for Smart Cities
Program Committee Member of WSDM (2019,2018)
Program Committee Member of ACM SIGIR (2018, 2017, 2016)
Program Committee Member of KDD (2018)
Program Committee Member of WWW (2019, 2018, 2016)
Program Committee Member of ACM MM (2018, 2017)
Program Committee Member of ACM CIKM (2018, 2017)
Program Committee Member of ACL (2018)
Program Committee Member of AAAI (2019, 2018)
Program Committee Member of IJCAI (2018)
Program Committee Member of PAKDD (2018)
Program Committee Member of AIRS (2018)
Program Committee Member of EMNLP (2018,2016)
Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
Invited Reviewer for ACM Transactions on Information Systems (TOIS)
Invited Reviewer for IEEE Transactions on Multimedia (TMM)
Invited Reviewer for ACM Transactions on Knowledge Discovery from Data (TKDD)
Invited Reviewer for ACM Transactions on Intelligent Systems and Technology (TIST)
Invited Reviewer for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Invited Reviewer for IEEE Transactions on Systems, Man and Cybernetics (TSMC)
Invited Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Invited Reviewer for KSII Transactions on Internet and Information Systems (TIIS)
Invited Reviewer for Information Sciences
Invited Reviewer for Journal of the Association for Information Science and Technology (JASIST)
Invited Reviewer for Journal of Computational Science (JOCS)
Invited Reviewer for Neurocomputing
Invited Reviewer for Frontiers of Computer Science
Invited Reviewer for World Wide Web Journal (WWWJ)
Invited Reviewer for Multimedia Systems Journal (MMSJ)
Invited Reviewer for Information Processing and Management (IPM)
Invited Reviewer for IEEE Access
Invited Reviewer for Multimedia Tools and Applications (MTA)
Invited Reviewer for Data Science and Engineering
Invited Reviewer for Journal of Information Science
External Reviewer of WSDM 2017, SIGIR 2015, NAACL 2015
External Reviewer of Information Retrieval Journal (IRJ).

Useful Links

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

Last update: Nov 11, 2018. Webpage template borrows from Weinan Zhang.