Zihao FU (付子豪)
I am currently a 4th Ph.D. candidate at the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, under the supervision of Prof. Wai Lam. My recent research topics include text generation, knowledge base, and explainable AI. I got my master’s degree in Beihang University supervised by Prof. Guanghong Gong where I research on computational fluid dynamics solvers.
Natural Language Processing, Machine Learning, Explainable AI
2017-Now PhD in Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong
2012-2015 M. Eng in Automation Science and Engineering, School of Automation Science and Electrical Engineering, Beihang University
2008–2012 B. Eng in Automation Science and Engineering, School of Automation Science and Electrical Engineering, Beihang University
2015-2017 Machine Learning Algorithm Engineer, IDST, Alibaba Cloud
2021 Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi. A Theoretical Analysis of the Repetition Problem in Text Generation. The 35th AAAI Conference on Artificial Intelligence (AAAI 2021). [Code]
2020 Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu. Partially-Aligned Data-to-Text Generation with Distant Supervision. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). [Code]
2020 Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel. Dynamic Topic Tracker for KB-to-Text Generation. The 28th International Conference on Computational Linguistics (COLING 2020).
2020 Zihao Fu, Bei Shi, Lidong Bing, Wai Lam. Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2020) .
2020 Zihao Fu, Lidong Bing, Wai Lam. Open Domain Event Text Generation. The 34rd AAAI Conference on Artificial Intelligence (AAAI 2020). [Data]
Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam. Fact Discovery from Knowledge Base via Facet Decomposition. The 2019 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2019). [Code]
Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert. Word Embedding as Maximum A Posteriori Estimation. The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019).
Bei Shi, Zihao Fu, Lidong Bing, Wai Lam. Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018).
Guo, Tszhang, Bowen Li, Zihao Fu, Tao Wan and Zengchang Qin. Learning Sentimental Weights of Mixed-gram Terms for Classification and Visualization. Pacific Rim International Conferences on Artificial Intelligence (PRICAI 2016).
Selected Honors and Awards
Excellent postgraduate students (2015); Excellent graduate students (2012); Second Prize of National Undergraduate Electronic Design Contest (2012); Second Prize of National Mathematical Contest in Modeling (2011); Beihang Scholarship (four times); Individual Scholarship (two times)
Reviewer: AAAI, TKDE
Secondary Reviewer: TACL, CIKM, ICDM, EMNLP, COLING, AAAI
- ENGG 5501: Foundations of Optimization by Prof. Anthony Man-Cho So [My Notes]
- IERG 5130: Probabilistic Models and Inference Algorithms for Machine Learning by Prof. Dahua Lin [My Notes]
- ENGG 5781: Matrix Analysis and Computations by Prof. Wing-Kin (Ken) Ma [My Notes]
- SEEM 5380: Optimization Methods for High-Dimensional Statistics by Prof. Anthony Man-Cho So [My Notes]