Zheng Haitao

Mar. 2006 - Aug. 2009, Ph.D. in Medical Informatics, Seoul National University, Korea;

Sept. 2001 - Dec. 2004, Master in Computer Software & Theory, Sun Yat-sen University, China;

Sept. 1997 - Jul. 2001, Bachelor in Computer Software, Sun Yat-sen University, China;

Sept. 2019 - present, Associate Professor, Tsinghua Shenzhen International Graduate School, China

Jul. 2005 - Feb. 2006, Lecturer, South China Agricultural University

Reviewer for top international journals/conferences, e.g. NIPS, ACL, KDD, TKDE, TOC, TIT

1. Artificial Intelligence Programming

2. Object-oriented Technologies and Applications

3. Game Engine Principles and Practices

4. Knowledge Engineering

5. Information Technology Innovation Laboratory Course

1. Supervised 1 PhD student to graduation

2. Supervised 26 Master students to graduation

Haitao Zheng has been working on the theory and application of artificial intelligence and semantic mining for a long time, and has a deep research foundation in the field of intelligent computing and knowledge engineering. He has published more than 80 papers in top international conferences/journals such as ICLR, ACL, EMNLP, AAAI, IJCAI, TKDE, Information Sciences, etc. Among them, 33 papers have been published in top AI journals/conferences, including 19 papers in CCF Class A/Tsinghua Computer Class A, 11 papers in JCR Region I SCI journals, and 3250 citations in Google scholar. He has served as the deputy team leader of one national 863 project, presided over four national natural science funds, was responsible for one doctoral fund of the Ministry of Education, two natural science fund projects of Guangdong Province, and two key projects of basic research in Shenzhen.

[1] Ma Ningning, Xiangyu Zhang, Zheng Hai-Tao*, Jian Sun. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 116-131. (ECCV2018, CCF B，Best Paper，2141 citations)

[2] Dong Wang, Ning Ding, Piji Li, Hai-Tao Zheng*. CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021: 2332-2342. (ACL2021, CCF A)

[3] Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Hai-Tao Zheng*, Zhiyuan Liu. Few-NERD: A Few-shot Named Entity Recognition Dataset. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021: 3198-3213. (ACL2021, CCF A)

[4] Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng*, Rui Zhang. Prototypical Representation Learning for Relation Extraction. Proceedings of the International Conference on Learning Representations. 2021 (ICLR2021, CCF A)

[5] Wei Wang, Piji Li, Hai-Tao Zheng*. Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 2021, 35(16): 13988-13996 (AAAI 2021, CCF A)

[6] Wei Wang, Piji Li, Hai-Tao Zheng*. Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 2021, 35(8): 7422-7430. (AAAI 2021, CCF A)

[7] Zibo Lin, Ziran Li, Ning Ding, Hai-Tao Zheng*, Ying Shen, Wei Wang, Cong-Zhi Zhao. Integrating Linguistic Knowledge to Sentence Paraphrase Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 2020, 34(05): 8368-8375. (AAAI2020, CCF A)

[8] Zihan Xu, Hai-Tao Zheng*, Shaopeng Zhai, Dong Wang. Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 2020, 34(05): 9370-9377. (AAAI2020, CCF A)

[9] Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Hai-Tao Zheng*. Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020: 6662-6671. (ACL2020, CCF A)

[10] Yang Bai, Ziran Li, Ning Ding, Ying Shen and Hai-Tao Zheng*. Infobox-to-text Generation with Tree-like Planning based Attention Network. Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 2021: 3773-3779. (IJCAI 2021, CCF A)

[11] Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng* and Ying Shen. Triple-to-Text Generation with a Anchor-to-Prototype Framework. Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 2021: 3773-3779. (IJCAI 2021, CCF A)

[12] Xiao Xi, Li Rui, Zheng Hai-Tao*, Ye Runguo, Sangaiah Arun Kumar, Xia Shutao. Novel dynamic multiple classification system for network traffic. Information Sciences. (2019) 479: 526-541. (SCI JCR，IF: 5.524)

[13] Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng*, Ying Shen. Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019: 4377-4386. (ACL2019, CCF A)

[14] Haozhuang Liu, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen. Multi-entity collaborative relation extraction. ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 7678-7682. (ICASSP 2021, CCF B)

[15] Zibo Lin, Deng Cai, Yan Wang, Xiaojiang Liu, Hai-Tao Zheng*, Shuming Shi. The World is not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020: 9220-9229. (EMNLP 2020, CCF B)

Led the research of many National Natural Science Foundation of China and National 863 projects, as well as many projects at the Ministry of Education, provincial and municipal levels

One of the representative works, ShuffleNet V2, won the 2019 VALSE Outstanding Student Paper of the Year Award

Collaborated with Tencent AI Lab on the research project Pre-trained Neural Network Language Model Incorporating Multi-Types and Multi-Knowledge Structures and won the Technical Innovation Award (only 2 in China) in the 2020 Tencent AI Lab Rhinoceros Bird Special Research Program Closing Evaluation and Excellence Exchange