| 2026 | AAAI | Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text. | Zijian Zheng, Tao Ai, Yonghe Lu |
| 2026 | ACL | MAST: A Multi-View Alignment Strategy for Optimal Transport-Based Contrastive Clustering of Short Text. | Zijian Zheng, Yonghe Lu |
| 2025 | EMNLP | FNSCC: Fuzzy Neighborhood-Aware Self-Supervised Contrastive Clustering for Short Text. | Zijian Zheng, Yonghe Lu, Jian Yin |
| 2023 | GLOBECOM | Asynchronous Federated Learning via Over-the-Air Computation. | Zijian Zheng, Yansha Deng, Xiaonan Liu, Arumugam Nallanathan |
| 2010 | WWW | Large-scale bot detection for search engines. | Hongwen Kang, Kuansan Wang, David Soukal, Fritz Behr, Zijian Zheng |
| 2009 | KDD | PSkip: estimating relevance ranking quality from web search clickthrough data. | Kuansan Wang, Toby Walker, Zijian Zheng |
| 2008 | WSDM | Personal name classification in web queries. | Dou Shen, Toby Walker, Zijian Zheng, Qiang Yang, Ying Li |
| 2006 | KDD | Identifying "best bet" web search results by mining past user behavior. | Eugene Agichtein, Zijian Zheng |
| 2001 | ICDM | Integrating E-Commerce and Data Mining: Architecture and Challenges. | Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng |
| 2001 | KDD | Real world performance of association rule algorithms. | Zijian Zheng, Ron Kohavi, Llew Mason |
| 1999 | ICML | Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. | Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting |
| 1999 | PAKDD | Improving the Performance of Boosting for Naive Bayesian Classification. | Kai Ming Ting, Zijian Zheng |
| 1999 | PAKDD | Classifying Unseen Cases with Many Missing Values. | Zijian Zheng, Boon Toh Low |
| 1999 | PAKDD | Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. | Zijian Zheng, Geoffrey I. Webb |
| 1998 | DIS | Boosting Cost-Sensitive Trees. | Kai Ming Ting, Zijian Zheng |
| 1998 | ICTAI | Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning. | Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting |
| 1998 | PAKDD | Scaling Up the Rule Generation of C4.5. | Zijian Zheng |
| 1998 | PRICAI | Generating Classifier Commitees by Stochastically Selecting both Attributes and Training Examples. | Zijian Zheng |
| 1996 | ICTAI | Effects of Different Types of New Attribute on Constructive Induction. | Zijian Zheng |
| 1995 | IJCAI | Constructing Nominal X-of-N Attributes. | Zijian Zheng |
| 1990 | ICTAI | An introduction to KEDE-A hybrid knowledge engineering development environment. | Zijian Zheng, Wei Li |