Zhi-Hong Deng received his B.Sc.in Applied Mathematics from Zhejiang University, China, in 1994, and the M.S. and the Ph.D. degrees, both in Computer Science, from Peking University, in 2000 and 2003 respectively.
He is a Professor in Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University.
Representative Achievement:
1. Zhi-Hong Deng. Beyond the Inverted Index. arXiv 2019.
2. Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In ICLR 2019.
3. Zhi-Hong Deng, Kun-Hu Luo, Hong-Liang Yu. A Study of Supervised Term Weighting Scheme for Sentiment Analysis. Expert Systems with Applications, 41(7): 3506–3513, 2014.
4. Deng ZhiHong, Wang ZhongHui，and Jiang JiaJian. A New Algorithm for Fast Mining Frequent Itemsets Using N-Lists. SCIENCE CHINA Information Sciences, 55 (9): 2008-2030, 2012.
5. Deng Zhihong, Tang Shiwei, Zhang Ming, Yang Dongqing, and Chen Jie. Overview of Ontology. Acta Scicentiarum Naturalum Universitis Pekinesis, 38(5)：730-738, 2002.
Recent Papers
1. Ting Huang, Zhi-Hong Deng, Gehui Shen, Xi Chen. A Window-Based Self-Attention Approach for Sentence Encoding. Accepted by Neurocomputing.
2. Gehui Shen, Zhi-Hong Deng, Ting Huang, Xi Chen. Learning to Compose over Tree Structures via POS Tags for Sentence Representation. Accepted by Expert Systems with Applications.
3. Zhi-Hong Deng. Mining high occupancy itemsets. Future Generation Computer Systems, 2020, 102(1):222-229.
4. Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng. Structured Decoding for Non-Autoregressive Machine Translation. Accepted by Thirty-third Conference on Neural Information Processing Systems (NeuIPS), 2019.
5. Ting Huang, Gehui Shen, Zhi-Hong Deng. Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization.IJCAI 2019, pages: 5017-5023
6. Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie.DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases.SIGIR 2019, pages: 755-764.
7. Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang.RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In ICLR 2019.
8. Zhiqing Sun, Zhi-Hong Deng. Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling. EMNLP 2018, pages: 4915–4920.
9. Zhi-Hong Deng. An efficient structure for fast mining high utility itemsets. Applied Intelligence, 2018, 48(9): 3161–3177.
10. Meng Zou, Junyang Li, Gehui Shen, Zhi-Hong Deng. TIER: A Novel Model Based on POS Information to Generate Dialogue. CCIS 2018, pages: 436-440.
11. Meng Zou, Xihan Li, Haokun Liu and Zhihong Deng. MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation. In COLING 2018, pages: 1281–1291.
12. Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le. Mining top-k co-occurrence items with sequential pattern. Expert Systems with Applications, 2017, 85: 123-133.
13. Bay Vo, Sang Pham, Tuong Le, Zhi-Hong Deng. A novel approach for mining maximal frequent patterns. Expert Systems with Applications, 2017, 73: 178-186.
14. Gehui Shen, Yunlun Yang and Zhi-Hong Deng. Inter-Weighted Alignment Network for Sentence Pair Modeling. In EMNLP 2017, pages: 1190-1200.
15. Liangchen Wei, Zhi-Hong Deng. A Variational Autoencoding Approach for Inducing Cross-lingual Word Embeddings. In IJCAI 2017, pages: 4165-4171.
