Zhiqiang Tao

Assistant Professor

Golisano College of Computing and Information Sciences

School of Information

2025 Submissions

Journal Paper

Wang, Jiamian, et al. "S2-Transformer for Mask-Aware Hyperspectral Image Reconstruction." IEEE Transactions on Pattern Analysis and Machine Intelligence 47. 6 (2025): 4299-4316. Web. *

Published Conference Proceedings

Sun, Guohao, et al. "Structured Policy Optimization: Enhance Large Vision-Language Model via Self-Referenced Dialogue." Proceedings of the International Conference on Computer Vision (ICCV). Ed. N/A. Honolulu, Hawai'i: n.p., 2025. Web. «

2024 Submissions

Journal Paper

Fang, Yi, Ashudeep Singh, and Zhiqiang Tao. "Fairness in Search Systems." Foundations and Trends in Information Retrieval 18. 3 (2024): 262-416. Print. «

Wang, Yuan, Zhiqiang Tao, and Yi Fang. "A Unified Meta-learning Framework for Fair Ranking with Curriculum Learning." IEEE Transactions on Knowledge and Data Engineering 36. 9 (2024): 4386--4397. Web. *

Published Conference Proceedings

Sun, Guohao, et al. "Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning." Proceedings of the ACM Web Conference (WWW). Ed. N/A. Sentosa, SINGAPORE: n.p., Web. «

Wang, Jiamian, et al. "Diffusion-Inspired Truncated Sampler for Text-Video Retrieval." Proceedings of the Advances in Neural Information Processing Systems (NeurIPS). Ed. n/a. Vancouver, Canada: n.p., 2024. Web. *

Wang, Jiamian, et al. "Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Ed. N/A. Seattle, WA: n.p., Web. «

Wang, Jiamian, et al. "Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging." Proceedings of the Advances in Neural Information Processing Systems (NeurIPS). Ed. n/a. Vancouver, Canada: n.p., 2024. Web. *

Sun, Guohao, et al. "SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant." Proceedings of the European Conference on Computer Vision (ECCV). Ed. n/a. Milano, Italy: n.p., 2024. Web. *

Wang, Yuan, et al. "Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers." Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). Ed. N/A. Mexico City, Mexico: n.p., Web. «

Sun, Guohao, et al. "Self-Training Large Language and Vision Assistant for Medical Question-Answering." Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). Ed. n/a. Miami, FL: n.p., 2024. Web. *

2023 Submissions

Published Conference Proceedings

Wang, Jiamian, et al. "Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution." Proceedings of the International Conference on Computer Vision (ICCV). 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. «

Sapkota, Hitesh, et al. "Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training." Proceedings of the Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Ed. N/A. New Orleans, LA: n.p., Print. «

2022 Submissions

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. *

Published Conference Proceedings

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. «