| 2024 | WWW | Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. | Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu |
| 2022 | SMC | An Improved Q-Learning Algorithm for Solving Disassembly Line Balancing Problem Considering Carbon Emission. | Huajie Zhang, Peisheng Liu, XiWang Guo, Jiacun Wang, Shujin Qin, Liang Qi, Jian Zhao |
| 2016 | ICMLA | An Empirical Study on Machine Learning Models for Wind Power Predictions. | Yiqian Liu, Huajie Zhang |
| 2014 | PDP | A Finite Volume Model for Dam-Break Floods with Wet-Dry Fronts on Non-uniform Grids. | Sheng Bi, Jianzhong Zhou, Na Zhao, Huajie Zhang, Yue Zhao |
| 2007 | NLDB | Enhancing Relation Extraction by Eliciting Selectional Constraint Features from Wikipedia. | Gang Wang, Huajie Zhang, Haofen Wang, Yong Yu |
| 2006 | AIMSA | Deep into Color Names: Matching Color Descriptions by Their Fuzzy Semantics. | Haiping Zhu, Huajie Zhang, Yong Yu |
| 2006 | WISE | Deeper Semantics Goes a Long Way: Fuzzified Representation and Matching of Color Descriptions for Online Clothing Search. | Haiping Zhu, Huajie Zhang, Yong Yu |
| 2002 | ICML | Representational Upper Bounds of Bayesian Networks. | Huajie Zhang, Charles X. Ling |
| 2002 | PAKDD | Toward Bayesian Classifiers with Accurate Probabilities. | Charles X. Ling, Huajie Zhang |
| 2001 | ICML | Learnability of Augmented Naive Bayes in Nonimal Domains. | Huajie Zhang, Charles X. Ling |
| 2001 | PAKDD | An Improved Learning Algorithm for Augmented Naive Bayes. | Huajie Zhang, Charles X. Ling |
| 2000 | AI | The Learnability of Naive Bayes. | Huajie Zhang, Charles X. Ling, Zhiduo Zhao |