Lifetime Optimized Methods of Correlated Data Gathering on Sensor Networks. - Xun Zhou 001; Shengfei Shi; Jizhou Luo; Wei Zhang 017 (SNPD (2), 2007)

Evacuation Planning: A Spatial Network Database Approach. - Xun Zhou 001; Betsy George; Sangho Kim 001; Jeffrey M. R. Wolff; Qingsong Lu; Shashi Shekhar 001 (IEEE Data Eng. Bull., 2010)

Discovering interesting sub-paths in spatiotemporal datasets: a summary of results. - Xun Zhou 001; Shashi Shekhar 001; Pradeep Mohan; Stefan Liess; Peter K. Snyder (GIS, 2011)

FAST: A Generic Framework for Flash-Aware Spatial Trees. - Mohamed Sarwat; Mohamed F. Mokbel; Xun Zhou 001; Suman Nath (SSTD, 2011)

Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach. - Pradeep Mohan; Xun Zhou 001; Shashi Shekhar 001 (GIScience, 2012)

Experiences with evacuation route planning algorithms. - Shashi Shekhar 001; KwangSoo Yang; Venkata M. V. Gunturi; Lydia Manikonda; Dev Oliver; Xun Zhou 001; Betsy George; Sangho Kim 001; Jeffrey M. R. Wolff; Qingsong Lu (Int. J. Geogr. Inf. Sci., 2012)

GPGPU-accelerated interesting interval discovery and other computations on GeoSpatial datasets: a summary of results. - Sushil K. Prasad; Shashi Shekhar 001; Michael McDermott; Xun Zhou 001; Michael R. Evans; Satish Puri (BigSpatial@SIGSPATIAL, 2013)

Discovering persistent change windows in spatiotemporal datasets: a summary of results. - Xun Zhou 001; Shashi Shekhar 001; Dev Oliver (BigSpatial@SIGSPATIAL, 2013)

Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. - Zhe Jiang 001; Shashi Shekhar 001; Xun Zhou 001; Joseph F. Knight; Jennifer Corcoran (ICDM, 2013)

Generic and efficient framework for search trees on flash memory storage systems. - Mohamed Sarwat; Mohamed F. Mokbel; Xun Zhou 001; Suman Nath (GeoInformatica, 2013)

Significant Route Discovery: A Summary of Results. - Dev Oliver; Shashi Shekhar 001; Xun Zhou 001; Emre Eftelioglu; Michael R. Evans; Qiaodi Zhuang; James M. Kang; Renee Laubscher; Christopher Farah (GIScience, 2014)

Ring-Shaped Hotspot Detection: A Summary of Results. - Emre Eftelioglu; Shashi Shekhar 001; Dev Oliver; Xun Zhou 001; Michael R. Evans; Yiqun Xie; James M. Kang; Renee Laubscher; Christopher Farah (ICDM, 2014)

A vision for GPU-accelerated parallel computation on geo-spatial datasets. - Sushil K. Prasad; Michael McDermott; Satish Puri; Dhara Shah; Danial Aghajarian; Shashi Shekhar 001; Xun Zhou 001 (ACM SIGSPATIAL Special, 2014)

Spatiotemporal change footprint pattern discovery: an inter-disciplinary survey. - Xun Zhou 001; Shashi Shekhar 001; Reem Y. Ali (WIREs Data Mining Knowl. Discov., 2014)

Spatiotemporal Data Mining: A Computational Perspective. - Shashi Shekhar 001; Zhe Jiang 001; Reem Y. Ali; Emre Eftelioglu; Xun Tang; Venkata M. V. Gunturi; Xun Zhou 001 (ISPRS Int. J. Geo Inf., 2015)

Focal-Test-Based Spatial Decision Tree Learning. - Zhe Jiang 001; Shashi Shekhar 001; Xun Zhou 001; Joseph F. Knight; Jennifer Corcoran (IEEE Trans. Knowl. Data Eng., 2015)

The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency. - Huigui Rong; Xun Zhou 001; Chang Yang; M. Zubair Shafiq; Alex X. Liu (CIKM, 2016)

A traffic flow approach to early detection of gathering events. - Xun Zhou 001; Amin Vahedian Khezerlou; Alex X. Liu; M. Zubair Shafiq; Fan Zhang 019 (SIGSPATIAL/GIS, 2016)

Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa. - Michael T. Lash; Yuqi Sun; Xun Zhou 001; Charles F. Lynch; W. Nick Street (BIBM, 2017)

Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. - Amin Vahedian; Xun Zhou 001; Ling Tong; Yanhua Li; Jun Luo 007 (SIGSPATIAL/GIS, 2017)

1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2017): Redondo Beach, California, USA - November 7, 2017. - Amr Magdy 001; Xun Zhou 001; Yan Huang 002 (ACM SIGSPATIAL Special, 2017)

A Traffic Flow Approach to Early Detection of Gathering Events: Comprehensive Results. - Amin Vahedian Khezerlou; Xun Zhou 001; Lufan Li; Zubair Shafiq; Alex X. Liu; Fan Zhang 019 (ACM Trans. Intell. Syst. Technol., 2017)

Spatiotemporal Change Footprint Pattern Discovery. - Xun Zhou 001; Shashi Shekhar 001; Reem Y. Ali (Encyclopedia of GIS, 2017)

Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach. - Haoyi Xiong; Amin Vahedian; Xun Zhou 001; Yanhua Li; Jun Luo 007 (IWCTS@SIGSPATIAL, 2018)

Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. - Zhuoning Yuan; Xun Zhou 001; Tianbao Yang (KDD, 2018)

Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization. - Xiaoxuan Zhang; Mingrui Liu; Xun Zhou 001; Tianbao Yang (NeurIPS, 2018)

A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization. - Dixian Zhu; Changjie Cai; Tianbao Yang; Xun Zhou 001 (Big Data Cogn. Comput., 2018)

Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa. - Michael T. Lash; Min Zhang 005; Xun Zhou 001; W. Nick Street; Charles F. Lynch (Int. J. Data Min. Bioinform., 2018)

2nd ACM SIGSPATIAL workshop on analytics for local events and news (LENS 2018) seattle, washington, USA - November 6, 2018. - Amr Magdy 001; Xun Zhou 001; Liang Zhao 002; Yan Huang 002 (ACM SIGSPATIAL Special, 2018)

Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. - Amin Vahedian; Xun Zhou 001; Ling Tong; W. Nick Street; Yanhua Li (AAAI, 2019)

A Deep Learning based Illegal Parking Detection Platform. - Zhengcong Yin; Haoyi Xiong; Xun Zhou 001; Daniel W. Goldberg; David A. Bennett; Chong Zhang (GeoAI@SIGSPATIAL, 2019)

TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Xiangnan Kong; Jun Luo 007 (ICDM, 2019)

Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. - Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (ICDM, 2019)

Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. - Menghai Pan; Yanhua Li; Xun Zhou 001; Zhenming Liu; Rui Song 006; Hui Lu 005; Jun Luo 007 (SDM, 2019)

Task Scheduling in Deadline-Aware Mobile Edge Computing Systems. - Tongxin Zhu; Tuo Shi; Jianzhong Li 001; Zhipeng Cai 001; Xun Zhou 001 (IEEE Internet Things J., 2019)

GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. - Song Gao 001; Shawn D. Newsam; Liang Zhao 002; Dalton D. Lunga; Yingjie Hu; Bruno Martins 001; Xun Zhou 001; Feng Chen 001 (ACM SIGSPATIAL Special, 2019)

Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query. - Yichen Ding; Yanhua Li; Xun Zhou 001; Zhuojie Huang; Simin You; Jun Luo 007 (IEEE Trans. Big Data, 2019)

COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. - Han Bao 003; Xun Zhou 001; Yingxue Zhang 002; Yanhua Li; Yiqun Xie (SIGSPATIAL/GIS, 2020)

Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. - Yichen Ding; Xun Zhou 001; Han Bao 003; Yanhua Li; Cara Hamann; Steven Spears; Zhuoning Yuan (SIGSPATIAL/GIS, 2020)

Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. - Menghai Pan; Weixiao Huang; Yanhua Li; Xun Zhou 001; Zhenming Liu; Jie Bao 003; Yu Zheng 004; Jun Luo 007 (SIGSPATIAL/GIS, 2020)

cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Jun Luo 007 (ICDM, 2020)

TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. - Xin Zhang 098; Yanhua Li; Xun Zhou 001; Ziming Zhang; Jun Luo 007 (ICDM, 2020)

xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. - Menghai Pan; Weixiao Huang; Yanhua Li; Xun Zhou 001; Jun Luo 007 (KDD, 2020)

ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. - Huimin Ren; Menghai Pan; Yanhua Li; Xun Zhou 001; Jun Luo 007 (KDD, 2020)

Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Xiangnan Kong; Jun Luo 007 (KDD, 2020)

Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. - Mingzhou Yang 001; Yanhua Li; Xun Zhou 001; Hui Lu 005; Zhihong Tian; Jun Luo 007 (WWW, 2020)

A New Approach for Measuring the Resilience of Transport Infrastructure Networks. - Liang Wang 040; Xiaolong Xue; Xun Zhou 001 (Complex., 2020)

Guest Editorial: Special Issue on Analytics for Local Events and News. - Amr Magdy 001; Xun Zhou 001; Daniel B. Neill (GeoInformatica, 2020)

Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process Approach. - Xun Zhou 001; Huigui Rong; Chang Yang; Qun Zhang 003; Amin Vahedian Khezerlou; Hui Zheng; Zubair Shafiq; Alex X. Liu (IEEE Trans. Big Data, 2020)

DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. - Menghai Pan; Weixiao Huang; Yanhua Li; Xun Zhou 001; Zhenming Liu; Rui Song 006; Hui Lu 005; Zhihong Tian; Jun Luo 007 (ACM Trans. Intell. Syst. Technol., 2020)

Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. - Yiqun Xie; Xun Zhou 001; Shashi Shekhar 001 (ACM Trans. Intell. Syst. Technol., 2020)

Predicting User Posting Activities in Online Health Communities with Deep Learning. - Xiangyu Wang 009; Kang Zhao 001; Xun Zhou 001; W. Nick Street (ACM Trans. Manag. Inf. Syst., 2020)

Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. - Menghai Pan; Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (SIGSPATIAL/GIS, 2021)

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. - Yiqun Xie; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Jia Yu 020; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2021)

Precise Bayes Classifier: Summary of Results. - Amin Vahedian; Xun Zhou 001 (ICDM, 2021)

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (ICDM, 2021)

C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Zhenming Liu; Jun Luo 007 (ICDM, 2021)

DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. - Xin Zhang 098; Yanhua Li; Xun Zhou 001; Oren Mangoubi; Ziming Zhang; Vincent Filardi; Jun Luo 007 (ICDM, 2021)

Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. - Ziming Zhang; Guojun Wu; Yanhua Li; Yun Yue; Xun Zhou 001 (ICDM, 2021)

DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. - Xun Zhou 001; Liang Zhao 002; Zhe Jiang 001; Robert N. Stewart; Shashi Shekhar 001; Jieping Ye (KDD, 2021)

DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features. - Amin Vahedian Khezerlou; Xun Zhou 001; Xinyi Li; W. Nick Street; Yanhua Li (ACM Trans. Intell. Syst. Technol., 2021)

Significant DBSCAN+: Statistically Robust Density-based Clustering. - Yiqun Xie; Xiaowei Jia; Shashi Shekhar 001; Han Bao 003; Xun Zhou 001 (ACM Trans. Intell. Syst. Technol., 2021)

Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. - Yichen Ding; Xun Zhou 001; Guojun Wu; Yanhua Li; Jie Bao 003; Yu Zheng 004; Jun Luo 007 (IEEE Trans. Knowl. Data Eng., 2021)

Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model. - Amin Vahedian Khezerlou; Xun Zhou 001; Ling Tong; Yanhua Li; Jun Luo 007 (IEEE Trans. Knowl. Data Eng., 2021)

EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. - Yichen Ding; Ziming Zhang; Yanhua Li; Xun Zhou 001 (SIGSPATIAL/GIS, 2022)

Sailing in the location-based fairness-bias sphere. - Erhu He; Weiye Chen; Yiqun Xie; Han Bao 003; Xun Zhou 001; Xiaowei Jia; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2022)

Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Jun Luo 007 (ICDM, 2022)

STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Xiangnan Kong; Jun Luo 007 (ICDM, 2022)

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yanhua Li; Xiaowei Jia (ICDM, 2022)

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (IJCAI, 2022)

DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. - Zhe Jiang 001; Liang Zhao 002; Xun Zhou 001; Robert N. Stewart; Junbo Zhang; Shashi Shekhar 001; Jieping Ye (KDD, 2022)

ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. - Ronilo J. Ragodos; Tong Wang 011; Qihang Lin; Xun Zhou 001 (NeurIPS, 2022)

HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. - Bang An 002; Amin Vahedian; Xun Zhou 001; W. Nick Street; Yanhua Li (SDM, 2022)

Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Xiangnan Kong; Jun Luo 007 (IEEE Trans. Big Data, 2022)

cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning. - Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (IEEE Trans. Big Data, 2022)

COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yingxue Zhang 002; Yanhua Li (ACM Trans. Intell. Syst. Technol., 2022)

Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Jun Luo 007; Zhi-Li Zhang (ACM Trans. Intell. Syst. Technol., 2022)

Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. - Yiqun Xie; Zhili Li; Han Bao 003; Xiaowei Jia; Dongkuan Xu; Xun Zhou 001; Sergii Skakun (AAAI, 2023)

CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. - Palawat Busaranuvong; Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (ICDM, 2023)

Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. - Mingzhi Hu; Zhuoyun Zhong; Xin Zhang 098; Yanhua Li; Yiqun Xie; Xiaowei Jia; Xun Zhou 001; Jun Luo 007 (ICDM, 2023)

ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. - Mingzhi Hu; Xin Zhang 098; Yanhua Li; Xun Zhou 001; Jun Luo 007 (KDD, 2023)

SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. - Bang An 002; Xun Zhou 001; Yongjian Zhong; Tianbao Yang (NeurIPS, 2023)

STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Ziming Zhang; Jun Luo 007 (SDM, 2023)

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. - Guojun Wu; Xin Zhang 098; Ziming Zhang; Yanhua Li; Xun Zhou 001; Christopher G. Brinton; Zhenming Liu (WACV, 2023)

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy. - Zheng Zhang 047; Chen Zheng; Da Tang; Ke Sun; Yukun Ma; Yingtong Bu; Xun Zhou 001; Liang Zhao 002 (CoRR, 2023)

Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data. - Haoyi Xiong; Xun Zhou 001; David A. Bennett (Int. J. Geogr. Inf. Sci., 2023)

Harnessing heterogeneity in space with statistically guided meta-learning. - Yiqun Xie; Weiye Chen; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (Knowl. Inf. Syst., 2023)

STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. - Han Bao 003; Xun Zhou 001; Yiqun Xie; Yanhua Li; Xiaowei Jia (Knowl. Inf. Syst., 2023)

Referee-Meta-Learning for Fast Adaptation of Locational Fairness. - Weiye Chen; Yiqun Xie; Xiaowei Jia; Erhu He; Han Bao 003; Bang An 002; Xun Zhou 001 (AAAI, 2024)

LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. - Bang An 002; Xun Zhou 001; Amin Vahedian; W. Nick Street; Jinping Guan; Jun Luo 007 (ICDM, 2024)

The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). - Zhe Jiang 001; Liang Zhao 002; Xun Zhou 001; Junbo Zhang; Shashi Shekhar 001; Jieping Ye (KDD, 2024)

Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. - Mingzhi Hu; Xin Zhang 098; Yanhua Li; Yiqun Xie; Xiaowei Jia; Xun Zhou 001; Jun Luo 007 (SDM, 2024)

TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting. - Ao Hu; Dongkai Wang; Yong Dai 001; Shiyi Qi; Liangjian Wen; Jun Wang; Zhi Chen; Xun Zhou 001; Zenglin Xu; Jiang Duan (CoRR, 2024)

GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. - Bang An 002; Xun Zhou 001; Zirui Zhou; Ronilo J. Ragodos; Zenglin Xu; Jun Luo 007 (AAAI, 2025)

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. - Jinglong Luo; Guanzhong Chen; Yehong Zhang; Shiyu Liu; Hui Wang 013; Yue Yu 001; Xun Zhou 001; Yuan Qi 001; Zenglin Xu (ACL (1), 2025)

Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. - Mufan Xu; Gewen Liang; Kehai Chen; Wei Wang 164; Xun Zhou 001; Muyun Yang; Tiejun Zhao; Min Zhang 005 (ACL (Findings), 2025)

From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. - Zhuo Zhang 007; Yukun Zhang; Guanzhong Chen; Lizhen Qu; Xun Zhou 001; Hui Wang 013; Zenglin Xu (Neurocomputing, 2025)

C3-GAN+: Complex-Condition-Controlled Generative Adversarial Networks with Enhanced Embedding. - Yingxue Zhang 002; Yanhua Li; Xun Zhou 001; Zhenming Liu; Jun Luo 007 (ACM Trans. Knowl. Discov. Data, 2025)

Maximum Degree-Based Quasi-Clique Search via an Iterative Framework. - Hongbo Xia; Kaiqiang Yu; Shengxin Liu; Cheng Long 001; Xun Zhou 001 (CoRR, 2025)

SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. - Jinglong Luo; Zhuo Zhang 007; Yehong Zhang; Shiyu Liu; Ye Dong; Xun Zhou 001; Hui Wang 013; Yue Yu 001; Zenglin Xu (CoRR, 2025)

On Searching and Querying Maximum Directed $(k, ell )$(k,ℓ)-Plex. - Shuohao Gao; Kaiqiang Yu; Shengxin Liu; Cheng Long 001; Xun Zhou 001 (IEEE Trans. Knowl. Data Eng., 2025)