A Self-organized Semantic Clustering Approach for Super-Peer Networks. - Baiyou Qiao; Guoren Wang; Kexin Xie (WISE, 2006)

A Taxonomy-Based Approach for Constructing Semantics-Based Super-Peer Networks. - Baiyou Qiao; Guoren Wang; Kexin Xie (APWeb/WAIM Workshops, 2007)

From trajectories to activities: a spatio-temporal join approach. - Kexin Xie; Ke Deng; Xiaofang Zhou 001 (GIS-LBSN, 2009)

Best point detour query in road networks. - Shuo Shang; Ke Deng; Kexin Xie (GIS, 2010)

Trajectory Indexing and Retrieval. - Ke Deng; Kexin Xie; Kevin Zheng; Xiaofang Zhou 001 (Computing with Spatial Trajectories, 2011)

Finding the most accessible locations: reverse path nearest neighbor query in road networks. - Shuo Shang; Bo Yuan 003; Ke Deng; Kexin Xie; Xiaofang Zhou 001 (GIS, 2011)

User oriented trajectory search for trip recommendation. - Shuo Shang; Ruogu Ding; Bo Yuan 003; Kexin Xie; Kai Zheng 001; Panos Kalnis (EDBT, 2012)

PNN query processing on compressed trajectories. - Shuo Shang; Bo Yuan 003; Ke Deng; Kexin Xie; Kai Zheng 001; Xiaofang Zhou 001 (GeoInformatica, 2012)

Finding Alternative Shortest Paths in Spatial Networks. - Kexin Xie; Ke Deng; Shuo Shang; Xiaofang Zhou 001; Kai Zheng 001 (ACM Trans. Database Syst., 2012)

Spatial query processing for fuzzy objects. - Kai Zheng 001; Xiaofang Zhou 001; Gabriel Pui Cheong Fung; Kexin Xie (VLDB J., 2012)

Supporting real-time query processing for advanced spatial database applications - Kexin Xie (2012)

Busy tone-based channel access control for cooperative communication. - Kun Xie 001; Kexin Xie; Shiming He; Daqiang Zhang 001; Jigang Wen; Jaime Lloret 001 (Trans. Emerg. Telecommun. Technol., 2015)

VID Join: Mapping Trajectories to Points of Interest to Support Location-Based Services. - Shuo Shang; Kexin Xie; Kai Zheng 001; Jiajun Liu; Ji-Rong Wen (J. Comput. Sci. Technol., 2015)

Interference-Aware Multi-source Transmission. - Shiming He; Kun Xie 001; Kexin Xie; Zhetao Li; Chuan Xu 001 (Trustcom/BigDataSE/ISPA, 2016)

Incorporating intent propensities in personalized next best action recommendation. - Yuxi Zhang; Kexin Xie (RecSys, 2019)

Interference-Aware Multisource Transmission in Multiradio and Multichannel Wireless Network. - Shiming He; Kun Xie 001; Kexin Xie; Chuan Xu 001; Jin Wang 001 (IEEE Syst. J., 2019)

Boosting Local Recommendations With Partially Trained Global Model. - Yuxi Zhang; Kexin Xie (RecSys, 2021)

Deep Learning for Search and Recommendation. - Wei Liu 007; Kexin Xie; Linsey Pang; James Bailey 001; Longbing Cao; Yuxi Zhang (CIKM, 2022)

Applied Machine Learning Methods for Time Series Forecasting. - Linsey Pang; Wei Liu 007; Lingfei Wu 001; Kexin Xie; Stephen D. Guo; Raghav Chalapathy; Musen Wen (CIKM, 2022)

Deep Discriminant Non-negative Matrix Factorization Method for Image Clustering. - Kexin Xie; Wen-Sheng Chen; Binbin Pan (ICIC (1), 2022)

AdKDD 2022. - Abraham Bagherjeiran; Nemanja Djuric; Mihajlo Grbovic; Kuang-Chih Lee; Kun Liu; Wei Liu 007; Linsey Pang; Vladan Radosavljevic; Suju Rajan; Kexin Xie (KDD, 2022)

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. - Derek Zhiyuan Cheng; Dhaval Patel 002; Linsey Pang; Sameep Mehta; Kexin Xie; Ed H. Chi; Wei Liu 007; Nitesh V. Chawla; James Bailey 001 (KDD, 2023)

Adversarial Active Learning with Guided BERT Feature Encoding. - Xiaolin Pang 001; Kexin Xie; Yuxi Zhang; Max Fleming; Damian Chen Xu; Wei Liu 007 (PAKDD (2), 2023)

A shift-based model to solve the integrated staff rostering and task assignment problem with real-world requirements. - Wenshu Wang; Kexin Xie; Siqi Guo; Weixing Li; Fan Xiao; Zhe Liang (Eur. J. Oper. Res., 2023)

Symmetric nonnegative matrix factorization: A systematic review. - Wen-Sheng Chen; Kexin Xie; Rui Liu; Binbin Pan (Neurocomputing, 2023)

An 102dB DR Current Mode Readout Frontend with Level-Crossing Based Ambient Light Monitoring and DC Cancellation. - Fengge Liu; Mengyu Li; Siyao Cao; Xingze Xue; Kexin Xie; Feijun Zheng; Shiwei Wang 001; Shuang Song 003 (ISCAS, 2025)

Performance Evaluation of Large Language Models in Statistical Programming. - Xinyi Song; Kexin Xie; Lina Lee; Ruizhe Chen; Jared M. Clark; Hao He; Haoran He; Jie Min; Xinlei Zhang; Simin Zheng; Zhiyang Zhang; Xinwei Deng; et al. (CoRR, 2025)

StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis. - Xinyi Song; Lina Lee; Kexin Xie; Xueying Liu; Xinwei Deng; Yili Hong 001 (CoRR, 2025)