Zhiqiang Tao
Assistant Professor
School of Information
Golisano College of Computing and Information Sciences
Office Location
Zhiqiang Tao
Assistant Professor
School of Information
Golisano College of Computing and Information Sciences
Education
BE, Tianjin University (China); MS, Tianjin University (China); Ph.D., Northeastern University
Areas of Expertise
Machine Learning
Computer Vision
Computational Imaging
Data Science
Select Scholarship
Published Conference Proceedings
Wang, Jiamian, et al. "Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution." Proceedings of the International Conference on Computer Vision. Ed. N/A. Paris, French: n.p., 2023. Print.
Wang, Yuan, et al. "An Empirical Study of Selection Bias in Pinterest Ads Retrieval." Proceedings of the Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. Ed. Ambuj Singh, et al. Long Beach, CA: n.p., 2023. Web.
Zhang, Zihao, et al. "Dropping Pathways Towards Deep Multi-View Graph Subspace Clustering Networks." Proceedings of the Proceedings of the 31st ACM International Conference on Multimedia. Ed. N/A. Ottawa, Canada: n.p., 2023. Print.
Shi, Weili, et al. "Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning." Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM). Ed. N/A. Birmingham, UK: n.p., 2023. Print.
Bai, Yue, et al. "Parameter-Efficient Masking Networks." Proceedings of the Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Nov 2022, New Orleans. Ed. Alice H. Oh, et al. New Orleans, LA: Curran Associates, Inc., Print.
Yang, Xueying, et al. "Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty." Proceedings of the Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Oct, 2022, Atlanta, GA, USA. Ed. Mohammad Al Hasan and Li Xiong. Atlanta, GA, USA: Association for Computing Machinery, Print.
Journal Paper
Wang, Qianqian, et al. "Multi-View Subspace Clustering via Structured Multi-Pathway Network." IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. (2022): 1-7. Print.
Currently Teaching
ISTE-612
Information Retrieval and Text Mining
3 Credits
This course provides students with exposure to foundational data analytics technologies, focusing on unstructured data. Topics include unstructured data modeling, indexing, retrieval, text classification, text clustering, and information visualization.
ISTE-780
Data Driven Knowledge Discovery
3 Credits
Rapidly expanding collections of data from all areas of society are becoming available in digital form. Computer-based methods are available to facilitate discovering new information and knowledge that is embedded in these collections of data. This course provides students with an introduction to the use of these data analytic methods, with a focus on statistical learning models, within the context of the data-driven knowledge discovery process. Topics include motivations for data-driven discovery, sources of discoverable knowledge (e.g., data, text, the web, maps), data selection and retrieval, data transformation, computer-based methods for data-driven discovery, and interpretation of results. Emphasis is placed on the application of knowledge discovery methods to specific domains.