Zhiqiang Tao
Zhiqiang Tao
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. «