| 2025 | AAAI | Personalized Clustering via Targeted Representation Learning. | Xiwen Geng, Suyun Zhao, Yixin Yu, Borui Peng, Pan Du, Hong Chen, Cuiping Li, Mengdie Wang |
| 2025 | EMNLP | Batched Self-Consistency Improves LLM Relevance Assessment and Ranking. | Anton Korikov, Pan Du, Scott Sanner, Navid Rekabsaz |
| 2025 | ICML | Unsupervised Learning for Class Distribution Mismatch. | Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You |
| 2023 | ICCV | Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch. | Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen |
| 2021 | ACL | Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders. | Qianqian Xie, Jimin Huang, Pan Du, Min Peng |
| 2021 | CIKM | Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking. | Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, Hao Jiang |
| 2021 | ECIR | Content Selection Network for Document-Grounded Retrieval-Based Chatbots. | Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Zhicheng Dou |
| 2021 | ICCV | Contrastive Coding for Active Learning under Class Distribution Mismatch. | Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li |
| 2021 | NAACL | Inductive Topic Variational Graph Auto-Encoder for Text Classification. | Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie |
| 2021 | WWW | Graph Topic Neural Network for Document Representation. | Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie |
| 2021 | SIGIR | Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. | Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou |
| 2020 | CIKM | Meta-Learning for Neural Relation Classification with Distant Supervision. | Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li |
| 2020 | ECIR | VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification. | Zhibin Lu, Pan Du, Jian-Yun Nie |
| 2020 | WSDM | Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. | Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin |
| 2019 | SIGIR | CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. | Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen |
| 2019 | SIGIR | DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases. | Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie |
| 2018 | SIGIR | An Attribute-aware Neural Attentive Model for Next Basket Recommendation. | Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, Ji-Rong Wen |
| 2014 | PAKDD | Ranking Tweets with Local and Global Consistency Using Rich Features. | Zhankun Huang, Shenghua Liu, Pan Du, Xueqi Cheng |
| 2014 | PSB | Integrative Analysis of Two Cell Lines Derived from a Non-Small-Lung Cancer Patient - A Panomics Approach. | Oleg Mayba, Florian Gnad, Michael Peyton, Fan Zhang, Kimberly Walter, Pan Du, Melanie A. Huntley, Zhaoshi Jiang, Jinfeng Liu, Peter M. Haverty, Robert Gentleman, Ruiqiang Li, John D. Minna, Yingrui Li, David S. Shames, Zemin Zhang |
| 2013 | ICDM | A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization. | Yadong Zhu, Yanyan Lan, Jiafeng Guo, Pan Du, Xueqi Cheng |
| 2011 | ICDM | Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization. | Pan Du, Jiafeng Guo, Xueqi Cheng |
| 2011 | WWW | A unified framework for recommending diverse and relevant queries. | Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen |
| 2011 | SIGIR | Decayed DivRank: capturing relevance, diversity and prestige in information networks. | Pan Du, Jiafeng Guo, Xueqi Cheng |
| 2010 | CIKM | Manifold ranking with sink points for update summarization. | Pan Du, Jiafeng Guo, Jin Zhang, Xueqi Cheng |
| 2007 | BIBE | Application of Wavelet Transform to the MS-based Proteomics Data Preprocessing. | Pan Du, Simon M. Lin, Warren A. Kibbe, Haihui Wang |