Bin Cao

Biography

Before joining Zhejiang University of Technology (abbr. ZJUT), I was a joint research associate in Huawei Noah's Ark Lab and CS department of HKUST. I got my PhD in Computer Science from Zhejiang University, China, 2013. From Sep. 2012 to Sep. 2013, I was sponsored by China Scholarship Council (CSC) to pursue my research (as a visiting student) in Department of Computer Science, University of Minneasota-Twin Cities. My advisors in UMN and ZJU were Prof. Mohamed F. Mokbel and Prof. Jianwei Yin, respectively.

Research

My research interests span broad areas of data driven techniques and applications, including machine learning, data mining, natural language processing, spatio-temporal data management and process management. I am fascinated by building systems and designing algorithms that address both effectiveness and efficiency issues in data-centric applications.

Selected Publications

1.Bin Cao, Kai Jiang, and Jing Fan*. SLaNT: A Semi-Supervised Label Noise-Tolerant Framework for Text Sentiment Analysis. ICWSM 2024.

2.Bin Cao, Kai Jiang, Fayu Pan, Chenlei Bao, and Jing Fan*. Improving Grammatical Error Correction by Correction Acceptability Discrimination. LREC-COLING 2024.

3.Tianming Zhang, Yunjun Gao, Jie Zhao, Lu Chen, Lu Jin, Zhengyi Yang, Bin Cao*, Jing Fan*. Efficient Exact and Approximate Betweenness Centrality Computation for Temporal Graphs. Proceedings of the ACM Web Conference 2024 (WWW’24).

4.Tianming Zhang, Junkai Fang, Zhengyi Yang, Bin Cao*, Jing Fan*. TATKC: A Temporal Graph Neural Network for Fast Approximate Temporal Katz Centrality Ranking. Proceedings of the ACM Web Conference 2024 (WWW’24). 

5.Shan Zhang, Bin Cao*, Tianming Zhang, Yuqi Liu and Jing Fan. Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition. ACL Findings 2023. 

6.Yuqi Liu, Bin Cao*, Jing Fan. Improving the Accuracy of Learning Example Weights for Imbalance Classification. ICLR, 2022. 

7.Bin Cao, Jiaxing Wang, Jing Fan, Shuiguang Deng, Jian Yang, Weiliang Zhao, Jianwei Yin, Mengchu Zhou. ProDiff: A Process Difference Detection Method based on Hierarchical Decomposition. IEEE Transactions on Service Computing. 2022,15(1), 513-526. 

8.Bin Cao, Yuqi Liu, Chenyu Hou, Jing Fan, Baihua Zheng, Jianwei Yin. Expediting the Accuracy-improving Process of SVMs for Class Imbalance Learning. IEEE Transactions on Knowledge and Data Engineering.2021, 33(11), 3550-3567.

9.Bin Cao, Jiawei Wu, Sichao Wang, Jing Fan, Honghao Gao, Shuigung Deng, Jianwei Yin, Xuan Liu. Unsupervised Derivation of Keyword Summary for Short Texts. ACM Transactions on Internet Technology.2021, 21(2), 1-23. 

10.Bin Cao, Chenyu Hou, Suifei Li, Jing Fan, Jianwei Yin, Baihua Zheng, and Jie Bao. SIMkNN: A Scalable Method for In-Memory kNN Search over Moving Objects in Road Networks. IEEE Transactions on Knowledge and Data Engineering. 2018, 30(10):1957-1970.