基本情况

何向南，教授、博导，中国科学技术大学大数据学院副院长

教育背景

博士, 新加坡国立大学, 计算机学院, 导师: Min-Yen Kan 2011 年 7 月 - 2015 年 12 月

本科, 华东师范大学, 软件学院 2007 年 9 月 - 2011 年 6 月 

研究方向

推荐系统、信息检索、数据挖掘、机器学习、因果推理、多媒体

主要学术成绩

Google 学术页面：

https://scholar.google.com.sg/citations?user=X45Go24AAAAJ引用 7900 余次，h-index=39

发表 CCF A 类论文 90 余篇，其中通讯或一作 30 余篇:

- A 类会议：ACM SIGIR 24 篇，WWW 11 篇，KDD 6 篇等

- A 类期刊：IEEE Trans. on Know. Eng. (TKDE) 12 篇，ACM Trans on Info. Sys. (TOIS) 7 篇等

专利申请 20 余项

论文发表

代表性论文：

1. Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang. LightGCN:

Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR 2020.

2. Fajie Yuan, Xiangnan He, Alexandros Karatzoglou and Liguang Zhang. Parameter-Efficient Transfer

from Sequential Behaviors for User Modeling and Recommendation. In SIGIR 2020.

3. Wenqiang Lei, Gangyi Zhang, Xiangnan He*, Yisong Miao, Xiang Wang, Liang Chen and Tat-Seng

Chua. Interactive Path Reasoning on Graph for Conversational Recommendation. In KDD 2020.

4. Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, and Tat-Seng Chua. Fast Matrix

Factorization with Non-Uniform Weights on Missing Data. IEEE Transactions on Neural Networks

and Learning Systems (TNNLS 2019). 期刊影响因子 11.68

5. Xiang Wang, Xiangnan He*, Meng Wang, Fuli Feng & Tat-Seng Chua. Neural Graph Collaborative

Filtering. In SIGIR 2019. Google 学术引用 105 次，SIGIR 2019 最高引论文

6. Xiang Wang, Xiangnan He*, Yixin Cao, Meng Liu & Tat-Seng Chua. KGAT: Knowledge Graph

Attention Network for Recommendation. In KDD 2019.

7. Xiangnan He, Zhankui He, Xiaoyu Du, and Tat-Seng Chua. Adversarial Personalized Ranking for

Recommendation. In SIGIR 2018.

8. Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, and Tat-Seng Chua. NAIS:

Neural Attentive Item Similarity Model for Recommendation. IEEE Transactions on Knowledge and

Data Engineering (TKDE 2018).

9. Xiang Wang, Xiangnan He*, Fuli Feng, Liqiang Nie, and Tat-Seng Chua. TEM: Tree-enhanced

Embedding Model for Explainable Recommendation. In WWW 2018.

10.Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, and Zheng Qin (2018). Aesthetic-based

Clothing Recommendation. In WWW 2018. 最佳论文提名奖

11.Lizi Liao, Yunshan Ma, Xiangnan He, Richang Hong, and Tat-Seng Chua. Knowledge-aware

Multimodal Dialog Systems. In ACM MM 2018. 最佳论文 Final List

12.Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. Neural

Collaborative Filtering. In WWW 2017. Google 学术引用 1405 次，WWW 2017 最高引论文

13.Xiangnan He and Tat-Seng Chua. Neural Factorization Machines for Sparse Predictive Analytics. In

SIGIR 2017. Google 学术引用 374 次，SIGIR 2017 最高引论文

14.Xiangnan He, Hanwang Zhang, Min-Yen Kan, and Tat-Seng Chua. Fast Matrix Factorization for

Online Recommendation with Implicit Feedback. In SIGIR 2016. Google 学术引用 467 次，SIGIR

2016 最高引论文

15.Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, and Tat-Seng Chua. Discrete

Collaborative Filtering. In SIGIR 2016. 最佳论文提名奖