| 2026 | AAAI | AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing. | Qingyu Zhang, Chunlei Xin, Xuanang Chen, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Qing Ye, Qianlong Xie, Xingxing Wang |
| 2026 | ACISP | Backdoor Risks in Personalized Federated Learning Under Practical Constraints. | Yiming He, Qing Ye, Xinhong Hei, Yichuan Wang |
| 2025 | AAAI | A Spatio-temporal Cluster-aware Supervised Learning Framework for Predicting County-level Drug Overdose Deaths. | Zixuan Feng, Qing Ye, Weijun Xie, Qiushi Chen |
| 2025 | CVPR | Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints. | Yuhao Zhou, Yuxin Tian, Jindi Lv, Mingjia Shi, Yuanxi Li, Qing Ye, Shuhao Zhang, Jiancheng Lv |
| 2025 | IJCNN | FedSH: Tackling Staleness By Scheduling High-order Approximation in Asynchronous Federated Learning. | Haixin Gao, Mingjia Shi, Yuhao Zhou, Deng Xiong, Qing Ye, Jiancheng Lv |
| 2024 | ICANN | Layer-Wised Sparsification Based on Hypernetwork for Distributed NN Training. | Yusen Wu, Jiaxun Li, Qing Ye |
| 2024 | ICASSP | Federated CINN Clustering for Accurate Clustered Federated Learning. | Yuhao Zhou, Minjia Shi, Yuxin Tian, Yuanxi Li, Qing Ye, Jiancheng Lv |
| 2024 | ICSE | CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. | Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu |
| 2024 | ISPA | AMQGaussian: Efficient 3D Gaussian Representation with Asymmetric Mixed-precision Quantization. | Yong Kou, Qing Ye, Yanci Zhang, Xia Yuan, Jinlong He |
| 2023 | ICCV | Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. | Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv |
| 2023 | ICONIP | Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. | Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv |
| 2023 | ICONIP | Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search. | Dan Si, Qing Ye, Jindi Lv, Yuhao Zhou, Jiancheng Lv |
| 2022 | HPCC | A Layer-Based Sparsification Method For Distributed DNN Training. | Yanqing Hu, Qing Ye, Zhongyu Zhang, Jiancheng Lv |
| 2021 | AMIA | Developing Framework for Healthy Coping Feedback Messages Evaluation from Diabetes Mobile Apps. | Ploypun Narindrarangkura, Qing Ye, Suzanne A. Boren, Uzma Z. Khan, Eduardo C. Simes, Min Soon Kim |
| 2021 | EDM | LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences. | Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv |
| 2021 | IJCNN | MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price. | Qiutong Guo, Shun Lei, Qing Ye, Zhiyang Fang |
| 2021 | IJCNN | Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search. | Jindi Lv, Qing Ye, Yanan Sun, Juan Zhao, Jiancheng Lv |
| 2021 | VTC | Label Design-based ELM Network for Timing Synchronization in OFDM Systems with Nonlinear Distortion. | Chaojin Qing, Shuhai Tang, Chuangui Rao, Qing Ye, Jiafan Wang, Chuan Huang |
| 2020 | AMIA | A Comparison of DSME/S Documentation in Clinic Notes between Primary Care and Diabetes Care Specialist. | Min Soon Kim, Uzma Z. Khan, Suzanne A. Boren, Qing Ye, Eduardo C. Simes |
| 2020 | AMIA | An Analysis of Diabetes Mobile Apps Feedback Messages Focused on the Healthy Coping Principle. | Qing Ye, Suzanne A. Boren, Uzma Z. Khan, Eduardo C. Simes, Min Soon Kim |
| 2020 | ICONIP | SuperConv: Strengthening the Convolution Kernel via Weight Sharing. | Chuan Liu, Qing Ye, Xiaoming Huang, Jiancheng Lv |
| 2020 | ICONIP | HPSGD: Hierarchical Parallel SGD with Stale Gradients Featuring. | Yuhao Zhou, Qing Ye, Hailun Zhang, Jiancheng Lv |
| 2020 | IJCNN | PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. | Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv |
| 2020 | SGAI | Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs. | Yu An, Qing Ye, Jiulin Guo, Ruihai Dong |
| 2019 | AMIA | Do People with Diabetes Receive Balanced Diabetes Self-Management Education? An Analysis of Clinic Notes against AADE7TM Principles. | Qing Ye, Richa Patel, Uzma Z. Khan, Suzanne Austin Boren, Min Soon Kim |
| 2019 | IGARSS | Changes in Chlorophyll Concentrations Associated With the 5.1 La Habra Earthquake, California Of 29 March 2014. | Ramesh P. Singh, Feng Jing, Qing Ye |
| 2019 | MICCAI | Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors. | Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang |
| 2018 | AMIA | Developing Healthy Coping Features Tailored for Seniors Older Than 70 Years with Diabetes: An Exercise List, an Activity List, and a Mood Scale. | Qing Ye, Uzma Z. Khan, Suzanne Austin Boren, Eduardo C. Simes, Min Soon Kim |
| 2018 | BMVC | InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. | Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger |
| 2018 | CSCWD | The Study on the Botnet and its Prevention Policies in the Internet of Things. | Yi-mu Ji, Lu Yao, Shangdong Liu, Haichang Yao, Qing Ye, Ruchuan Wang |
| 2018 | RECOMB | Deciphering Signaling Specificity with Deep Neural Networks. | Yunan Luo, Jianzhu Ma, Yang Liu, Qing Ye, Trey Ideker, Jian Peng |
| 2017 | HCI | Evaluation of Functionality and Usability on Diabetes Mobile Applications: A Systematic Literature Review. | Qing Ye, Suzanne Austin Boren, Uzma Z. Khan, Min Soon Kim |
| 2016 | AMIA | Developing A Mobile Application to Improve Diabetic Patients' Self-Care Behaviors: A Functionality Analysis. | Min Soon Kim, Qing Ye, Uzma Z. Khan, Suzanne Austin Boren |
| 2016 | AMIA | Diabetes Self-Management Applications: Focus Group Findings from Elderly Diabetic Patients. | Qing Ye, Suzanne Austin Boren, Uzma Z. Khan, Min Soon Kim |
| 2016 | HCI | Research on the Comfortable and Maximum Pedaling Forces of Chinese Population. | Huiyu Luo, Chang Liu, Jing Zhang, Qing Ye, Li Ding |
| 2015 | ICNC | Vehicle models identification based on the double updating support vector machine online learning algorithm. | Xiang Liu, Qing Ye, Sunfu Liu |
| 2012 | PDCAT | Pedestrian Detection Directing at the Region of Interest in Videos. | Hongmei Li, Rentao Gu, Qing Ye, Yuefeng Ji |
| 2012 | PDCAT | Monocular Human Action Recognition Utilizing Silhouette Feature Extraction and Skin Color Detection. | Junjie Zhang, Rentao Gu, Qing Ye, Yuefeng Ji |
| 2011 | ICNC | An effective adaptive updating algorithm of background based on statistical and non-linear control. | Qing Ye, YaoDong Sun |
| 2008 | ICDCS | DTP: Double-Pairwise Time Protocol for Disruption Tolerant Networks. | Qing Ye, Liang Cheng |
| 2008 | ISKE | An improved algorithm for Dempster-Shafer theory of evidence. | Qing Ye, Xiaoping Wu, Dingjun Zhai |
| 2007 | IWCMC | SHIM: a scalable hierarchical inter-domain multicast approach for disruption tolerant networks. | Qing Ye, Liang Cheng, Mooi Choo Chuah, Brian D. Davison |
| 2006 | VTC | OS-multicast: On-demand Situation-aware Multicasting in Disruption Tolerant Networks. | Qing Ye, Liang Cheng, Mooi Choo Chuah, Brian D. Davison |
| 2005 | ISCC | An Inter-Application and Inter-Client Priority-Based QoS Proxy Architecture for Heterogeneous Networks. | Qiang Wang, Qing Ye, Liang Cheng |
| 2005 | VLSID | Worst-Case Crosstalk Noise Analysis Based on Dual-Exponential Noise Metrics. | Jiaxing Sun, Yun Zheng, Qing Ye, Tianchun Ye |