Dynamic and innovative professional with a proven track record at Portland State University, specializing in machine learning and SQL database management. Excelled in research, contributing to peer-reviewed publications, and enhancing student learning through effective teaching. Skilled in Python and academic research, demonstrating exceptional problem-solving abilities and teamwork.
[1] [IJCAI] Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu. TFWT: Tabular Feature Weighting with Transformer [C]. In Proceedings of IJCAI 2024, the 33rd International Joint Conference on Artificial Intelligence, Jeju, South Korea, 2024.
[2] [ACL] Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu. Prototypical Reward Network for Data-Efficient RLHF [C]. In Proceedings of ACL 2024, the 62nd Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand, 2024.
[3] [ICKG] Xinhao Zhang, Jinghan Zhang, Wujun Si, Kunpeng Liu. Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation [C]. In Proceedings of ICKG 2024, the 15th IEEE International Conference on Knowledge Graphs, Abu Dhabi, UAE, 2024.
[4] [ICKG] Jinghan Zhang, Henry Xie, Xinhao Zhang, Kunpeng Liu. Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions [C]. In Proceedings of ICKG 2024, the 15th IEEE International Conference on Knowledge Graphs, Abu Dhabi, UAE, 2024.
[5] [AI] Limin Wang, Xinhao Zhang (Corresponding Author), Kuo Li, Shuai Zhang. Semi-supervised Learning for k-Dependence Bayesian Classifiers [J]. Applied Intelligence, Volume 52, pp. 3604–3622, 2021.
[6] [AI] Limin Wang, Shuai Zhang, Musa Mammadov, Kuo Li, Xinhao Zhang, Siyuan Wu. Semi-supervised Weighting for Averaged One-Dependence Estimators [J]. Applied Intelligence, Volume 52, pp. 4057–4073, 2021.