Ph.D. Student

Data Mining Lab,
School of Computer Science and Engineering,
University of Electronic Science and Technology of China

Email: zhongzhang[at]std[dot]uestc[dot]edu[dot]cn
Secondary Email: zhongzhang[dot]me[at]gmail[dot]com

Address: Qingshuihe Campus:No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731 | Chengdu, Sichuan, P.R. China



About Me

I am currently a Ph.D. student in Computer Science and Technology at Data Mining Lab, School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC). I graduated from UESTC in 2016 with B.Eng. degree in Computer Science. Then I continued to have my Master’s study the same year. In 2018, I started my Ph.D. study under the supervision of Prof. Junming Shao. I will graduate in June 2022.

Feel free to contact and discuss with me!


Research Interests

My research interests include Natural Language Processing, Data Mining, and Machine Learning. Specifically, I am now working on natural language generation tasks like language modeling and machine translation.


Publications

  1. Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao. Revisiting Representation Degeneration Problem in Language Modeling. Findings of EMNLP, 2020.
  2. Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao. Semantic Trajectory Representation and Retrieval via Hierarchical Embedding. Information Sciences, 2020.
  3. Zhongjing Yu, Zhong Zhang, Haoran Chen, Junming Shao. Structured Subspace Embedding on Attributed Networks. Information Sciences, 2020.
  4. Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang. Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion. IJCAI, 2019.
  5. Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao. Towards Robust Arbitrarily Oriented Subspace Clustering. DASFAA, 2019. [Best Paper Award]
  6. Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao. SemiSync: Semi-supervised Clustering by Synchronization. DASFAA, 2019.
  7. Chongming Gao, shuai yuan, Zhong Zhang, Hongzhi Yin, Junming Shao. BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. DASFAA, 2019.
  8. Liang, Sugai, Qiang Wang, Xiangzhen Kong, Wei Deng, Xiao Yang, Xiaojing Li, Zhong Zhang, et al. White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging. Neuroscience Bulletin, 2019.
  9. Zhong Zhang, Zhili Qin, Peiyan Li, Qinli Yang, Junming Shao. Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization. DASFAA, 2018.
  10. Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu, Stefan Kramer. Graph Clustering with Local Density-Cut. DASFAA, 2018.
  11. Sugai Liang, Yinfei Li, Zhong Zhang, et al. Classification of First-Episode Schizophrenia Using Multimodal Brain Features: A Combined Structural and Diffusion Imaging Study[J]. Schizophrenia Bulletin, 2018.
  12. Xiuli Song, Zhong Zhang, Rui Zhang, Miye Wang, Tao Li, Junming Shao, Xiaohong Ma. Predictive Markers of Depression in Hypertension. Medicine, 2018, 97(32): e11768.

Teaching Assistant

2020.03 - 2020.07 Big Data Analysis and Mining (For Postgraduate Students)

2019.03 - 2019.07 Data Mining and Big Data Analysis (For Undergraduate Students)

2017.03 - 2017.07 Big Data Analysis and Mining (For Postgraduate Students)

2016.09 - 2017.01 Probability and Statistics (For Undergraduate Students, EN)


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