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