| 2026 | AAAI | Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data. | Rui Huang, Dian Meng, Xun Zhou, Sikun Yang |
| 2026 | AAAI | IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech. | Siyi Zhou, Yiquan Zhou, Yi He, Xun Zhou, Jinchao Wang, Wei Deng, Jingchen Shu |
| 2026 | AIED | EduArt-Bench: A Benchmark and Lightweight Scoring Calibration for K-12 Art Education. | Zekun Huang, Shuyan Chen, Yiwen Chen, Xun Zhou, Wei Xu |
| 2026 | ICDE | Listing Minimal Cores in Large Real-World Graphs. | Yukai Sun, Kaiqiang Yu, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong, Xun Zhou, Min Zhang |
| 2026 | INFOCOM | MPulse: A Programmable and Autonomic Fault Detection System via Hierarchical Liveness Exchange. | Di Wang, Haifeng Zhou, Zhengyan Zhou, Jiayu Luo, Xinyue Jiang, Xun Zhou, Yufei Ye |
| 2026 | IWQoS | PSM: Timely and Resource-Efficient Sketch Migration in Network Measurement. | Xun Zhou, Hongyan Liu, Xiang Chen, Zhengyan Zhou, Zihao Cheng, Di Wang, Chunming Wu |
| 2026 | IWQoS | DP-MPC: Offloading Secure Multi-Party Computation to Programmable Data Planes. | Xun Zhou, Yu Zhou, Ming Chen, Jianhao Li, Di Wang, Xiang Chen, Chunming Wu, Hongyan Liu |
| 2026 | KDD | Malicious Domain Detection on Out-of-Distribution Gray Data through Graph Contrastive Learning with Structure Aggregation. | Hongjie Gu, Daojing He, Xun Zhou |
| 2026 | PPSN | Population-Aware Contrastive Surrogates for Expensive Multiobjective Optimization. | Songbai Liu, Xun Zhou, Hao Sun, Lijia Ma, Qiuzhen Lin, Jianyong Chen |
| 2025 | AAAI | GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. | Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo |
| 2025 | AAAI | Design Principle Transfer in Neural Architecture Search via Large Language Models. | Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan |
| 2025 | ACL | 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, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu |
| 2025 | ACL | Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. | Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2025 | CIKM | RankMixer: Scaling Up Ranking Models in Industrial Recommenders. | Jie Zhu, Zhifang Fan, Xiaoxie Zhu, Yuchen Jiang, Hangyu Wang, Xintian Han, Haoran Ding, Xinmin Wang, Wenlin Zhao, Zhen Gong, Huizhi Yang, Zheng Chai, Zhe Chen, Yuchao Zheng, Qiwei Chen, Feng Zhang, Xun Zhou, Peng Xu, Xiao Yang, Di Wu, Zuotao Liu |
| 2025 | ICLR | Ultra-Sparse Memory Network. | Zihao Huang, Qiyang Min, Hongzhi Huang, Yutao Zeng, Defa Zhu, Ran Guo, Xun Zhou |
| 2025 | ICLR | FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference. | Xunhao Lai, Jianqiao Lu, Yao Luo, Yiyuan Ma, Xun Zhou |
| 2025 | ICLR | Hyper-Connections. | Defa Zhu, Hongzhi Huang, Zihao Huang, Yutao Zeng, Yunyao Mao, Banggu Wu, Qiyang Min, Xun Zhou |
| 2025 | ICLR | Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models. | Zhijian Zhuo, Ya Wang, Yutao Zeng, Xiaoqing Li, Xun Zhou, Jinwen Ma |
| 2025 | ICML | Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling. | Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Ya Wang, Qiyang Min, Xun Zhou |
| 2025 | ICML | MARS: Unleashing the Power of Variance Reduction for Training Large Models. | Huizhuo Yuan, Yifeng Liu, Shuang Wu, Xun Zhou, Quanquan Gu |
| 2025 | ICML | Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts. | Yike Yuan, Ziyu Wang, Zihao Huang, Defa Zhu, Xun Zhou, Jingyi Yu, Qiyang Min |
| 2025 | IJCNN | Effective Intermediate Knowledge Distillation for Image Classification. | Xun Zhou, Dan Liu |
| 2025 | IECON | P4-IDet: A Programmable Switch-Based Framework for Real-Time and High-Accuracy Traffic Anomaly Detection in ICPSs. | Jiayu Luo, Zhengyan Zhou, Qiaoxiong Tang, Ruohan Chen, Xiang Chen, Di Wang, Xun Zhou, Chao Pei, Yinan Zhang, Wenwen Zhang, Qiang Yang, Wenhai Wang, Haifeng Zhou |
| 2025 | KDD | Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever. | Xingyan Bin, Jianfei Cui, Wujie Yan, Zhichen Zhao, Xintian Han, Chongyang Yan, Feng Zhang, Xun Zhou, Xiao Yang, Zuotao Liu |
| 2025 | KDD | Maximum Degree-Based Quasi-Clique Search via an Iterative Framework. | Hongbo Xia, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou |
| 2025 | WWW | Large Memory Network for Recommendation. | Hui Lu, Zheng Chai, Yuchao Zheng, Zhe Chen, Deping Xie, Peng Xu, Xun Zhou, Di Wu |
| 2025 | SIGIR | Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders. | Zheng Chai, Hui Lu, Di Chen, Qin Ren, Yuchao Zheng, Xun Zhou |
| 2025 | WACV | PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction. | Nan Peng, Xun Zhou, Mingming Wang, Xiaojun Yang, Songming Chen, Guisong Chen |
| 2024 | AAAI | Referee-Meta-Learning for Fast Adaptation of Locational Fairness. | Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou |
| 2024 | AAAI | FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis. | Meizhen Zheng, Peng Bai, Xiaodong Shi, Xun Zhou, Yiting Yan |
| 2024 | EMNLP | World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering. | Jiacong Wang, Bohong Wu, Haiyong Jiang, Xun Zhou, Xin Xiao, Haoyuan Guo, Jun Xiao |
| 2024 | ICDM | LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. | Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo |
| 2024 | IROS | SNF-Feat: Semantic-Guided Negative-Sample-Free Representation Learning for Local Feature Extraction. | Xun Zhou, Qingqing Yan, Minghao Zhu, Mengxian Hu, Chengju Liu, Qijun Chen |
| 2024 | KDD | The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). | Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye |
| 2024 | SDM | Only Attending What Matter within Trajectories - | Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo |
| 2023 | AAAI | Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. | Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun |
| 2023 | ICDM | CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. | Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2023 | ICDM | Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. | Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo |
| 2023 | KDD | ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. | Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2023 | SMC | PUW-Feat: A Progressive and Unified Method for Weakly Supervised Local Feature Learning. | Xun Zhou, Qingqing Yan, Chengju Liu, Qijun Chen |
| 2023 | WACV | Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. | Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu |
| 2023 | SDM | STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. | Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo |
| 2022 | CIKM | Spherical Graph Embedding for Item Retrieval in Recommendation System. | Wenqiao Zhu, Yesheng Xu, Xin Huang, Qiyang Min, Xun Zhou |
| 2022 | GECCO | A chaotic parallel antlion optimization algorithm for feature selection. | Xun Zhou, Hongwei Chen, Dewei Shi |
| 2022 | ICDM | Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. | Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2022 | ICDM | STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. | Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo |
| 2022 | ICDM | STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. | Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2022 | IJCAI | Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). | Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2022 | IJCNN | FCH-TTS: Fast, Controllable and High-quality Non-Autoregressive Text-to-Speech Synthesis. | Xun Zhou, Zhiyang Zhou, Xiaodong Shi |
| 2022 | KDD | DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. | Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye |
| 2022 | SDM | HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. | Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li |
| 2021 | CEC | A Survey of Advances in Evolutionary Neural Architecture Search. | Xun Zhou, A. K. Qin, Yanan Sun, Kay Chen Tan |
| 2021 | CISIS | Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction. | Hongwei Chen, Honglin Zhou, Meiying Li, Hui Xu, Xun Zhou |
| 2021 | ICDM | Precise Bayes Classifier: Summary of Results. | Amin Vahedian, Xun Zhou |
| 2021 | ICDM | A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. | Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2021 | ICDM | C | Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo |
| 2021 | ICDM | DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. | Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo |
| 2021 | ICDM | Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. | Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou |
| 2021 | KDD | DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. | Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye |
| 2020 | ICDM | cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. | Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2020 | ICDM | TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. | Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo |
| 2020 | KDD | xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. | Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo |
| 2020 | KDD | ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. | Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo |
| 2020 | KDD | Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. | Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo |
| 2020 | WWW | Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. | Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo |
| 2019 | AAAI | Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. | Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li |
| 2019 | CIKM | Multi-task based Sales Predictions for Online Promotions. | Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang |
| 2019 | ICDM | TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. | Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo |
| 2019 | ICDM | Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. | Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2019 | SDM | Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. | Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo |
| 2018 | GLOBECOM | Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data. | Anqi Liu, Changle Li, Wenwei Yue, Xun Zhou |
| 2018 | KDD | Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. | Zhuoning Yuan, Xun Zhou, Tianbao Yang |
| 2016 | CIKM | The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency. | Huigui Rong, Xun Zhou, Chang Yang, M. Zubair Shafiq, Alex X. Liu |
| 2016 | VTC | A Novel Method for Smoothing Raw GPS Data with Low Cost and High Reliability. | Xun Zhou, Changle Li, Xiaoming Yuan, Bing Xia, Guoqiang Mao, Lei Xiong |
| 2014 | ICDM | Ring-Shaped Hotspot Detection: A Summary of Results. | Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah |
| 2013 | GLOBECOM | Wireless information and power transfer in multiuser OFDM systems. | Xun Zhou, Rui Zhang, Chin Keong Ho |
| 2013 | ICDM | Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. | Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran |
| 2012 | GLOBECOM | Wireless information and power transfer: Architecture design and rate-energy tradeoff. | Xun Zhou, Rui Zhang, Chin Keong Ho |
| 2011 | GLOBECOM | An Efficient Power Allocation Algorithm for OFDM Based Underlay Cognitive Radio Networks. | Xun Zhou, Bin Wu, Pin-Han Ho, Xiang Ling |
| 2007 | SNPD | Lifetime Optimized Methods of Correlated Data Gathering on Sensor Networks. | Xun Zhou, Shengfei Shi, Jizhou Luo, Wei Zhang |