| 2026 | CAV | QAV-FT: Quadratic Approximation-Based Neural Network Verification via Fourier Series and Taylor Truncation. | Han Wang, Xuyang Ding, Ying Xie, Yakun Sheng |
| 2026 | DATA | AgentSearch: Learning Efficient Agentic Workflows via Deliver Tree Search. | Dinesh Chowdary Attota, Ying Xie |
| 2025 | DASFAA | Facial Features Enhanced Multi-branch Graph Network for Driver Drowsiness Detection. | Songwen Pei, Ying Xie, Huichen Zhang, Sen Zhang |
| 2025 | ECAI | Adaptive Feature Modulation and Implicit Prompt Network for Retinal Vessel Segmentation. | Ying Xie, Jingkai Shang, Ruixiang Deng, Bohao Cao, Xianlun Tang |
| 2025 | ICMLA | Privacy-Preserving Model Compression: Adaptive Pruning for Federated Split Learning of LLMs. | Dinesh Chowdary Attota, Linh Le, Ying Xie |
| 2025 | IJCNN | Dynamic Knowledge Elicitation: Leveraging Student Feedback for Improved Language Model Distillation. | Reuven Muller, Ying Xie, Linh Le, Shaoen Wu |
| 2025 | IROS | Multi-View Normal and Distance Guidance Gaussian Splatting for Surface Reconstruction. | Bo Jia, Yanan Guo, Ying Chang, Benkui Zhang, Ying Xie, Kangning Du, Lin Cao |
| 2025 | VTC | Secrecy Improvement Using Active Reconfigurable Intelligent Surfaces and Leveraging Guard Zones. | Sumit Chakravarty, Ying Xie |
| 2024 | APSEC | A Novel Approach to Automated Test Script Generation using Large Language Models for Domain-Specific Languages. | Jianing Sun, Jiahui Wang, Yuyan Zhu, Xingyu Li, Ying Xie, Jiaxin Chen |
| 2024 | IJCNN | Chrono Clustering: A Novel Methodology for Dynamic Topic Trend Analysis. | Qiaomu Li, Ying Xie, Shaoen Wu |
| 2023 | CHASE | Poster: AsyncFedKD: Asynchronous Federated Learning with Knowledge Distillation. | Malik Naik Mohammed, Xinyue Zhang, Maria Valero, Ying Xie |
| 2023 | ICPADS | Realistic Sketch Face Generation via Sketch-Guided Incomplete Restoration. | Zijie Liu, Chunhua Gu, Ying Xie, Huichen Zhang, Songwen Pei |
| 2023 | NSDI | Empowering Azure Storage with RDMA. | Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, Brian Zill |
| 2023 | SIGITE | AI meets AI: Artificial Intelligence and Academic Integrity - A Survey on Mitigating AI-Assisted Cheating in Computing Education. | Ying Xie, Shaoen Wu, Sumit Chakravarty |
| 2021 | FlAIRS | CovidBERT-Biomedical Relation Extraction for Covid-19. | Shashank Hebbar, Ying Xie |
| 2020 | CCGRID | Real-time Situation Awareness of Industrial Process based on Deep Learning at the Edge Server. | Rongbin Xu, Wangxing Lin, Zhiqiang Liu, Menglong Wang, Yuanmo Lin, Ying Xie |
| 2020 | SIGITE | A Novel Framework for Collaborated IT Project with the Consideration of Data Security and Privacy. | Meng Han, Lei Li, Ying Xie |
| 2019 | NCA | Link Prediction Based Minimum Cost and Balanced Partition of Large Online Social Networks. | Romas James Hada, Miao Jin, Ying Xie, Linh Le |
| 2018 | BPM | Improved Particle Swarm Optimization Based Workflow Scheduling in Cloud-Fog Environment. | Rongbin Xu, Yeguo Wang, Yongliang Cheng, Yuanwei Zhu, Ying Xie, Abubakar Sadiq Sani, Dong Yuan |
| 2018 | CSCWD | Multi-label Green's Function Criterion inspired Transfer Annotation System. | Ying Xie, Xinmei Wang, Dan Jiang, Xin Xu, Guanghua Bao, Rongbin Xu |
| 2018 | CSCWD | Distinct Collective Inference Learning in Social Networks. | Rongbin Xu, Menglong Wang, Ying Xie, Yun Yang |
| 2018 | FIE | Designing Visually Interactive Learning Modules to Promote Students' Critical Thinking in Mathematics. | Vu Linda, Ying Xie, Meng Han |
| 2018 | SIGITE | A Novel Blockchain-based Education Records Verification Solution. | Meng Han, Zhigang Li, Jing (Selena) He, Dalei Wu, Ying Xie, Asif Iqbal Baba |
| 2017 | AAAI | Rank Ordering Constraints Elimination with Application for Kernel Learning. | Ying Xie, Chris H. Q. Ding, Yihong Gong, Zongze Wu |
| 2017 | COCOON | Influence Spread in Social Networks with both Positive and Negative Influences. | Jing (Selena) He, Ying Xie, Tianyu Du, Shouling Ji, Zhao Li |
| 2017 | CSCWD | A novel dynamic checkpoint selection strategy for time-constrained massive cloud business workflows. | Rongbin Xu, Yeguo Wang, Ying Xie, Li Li, Dong Yuan |
| 2017 | CSCWD | An optimized data storage strategy by computational performance and monetary cost with data importance in the cloud. | Kangkang Zhao, Dong Yuan, Ying Xie, Li Yan, Rongbin Xu |
| 2017 | IJCNN | Unsupervised deep kernel for high dimensional data. | Ying Xie, Linh Le, Jie Hao |
| 2017 | ICWS | A Novel Data Set Importance Based Cost-Effective and Computation-Efficient Storage Strategy in the Cloud. | Rongbin Xu, Kangkang Zhao, Pengfei Zhang, Dong Yuan, Ying Xie, Yun Yang |
| 2016 | FIE | Integrating Internet of Things (IoT) into STEM undergraduate education: Case study of a modern technology infused courseware for embedded system course. | Jing He, Dan Chia-Tien Lo, Ying Xie, Jonathan W. Lartigue |
| 2016 | FIE | Multi-dimensional and customizable open-source labware for promoting big data analytical skills in STEM education. | Ying Xie, Kai Qian, Jing He |
| 2016 | IECON | Fault detection applied on industrial process based on knowledge from a Bayesian perspective. | Ying Xie, Yingwei Zhang, Lirong Zhai |
| 2016 | IECON | Fault detection for multiphase batch process. | Yingwei Zhang, Lirong Zhai, Ying Xie |
| 2015 | HIS | KNN++: An Enhanced K-Nearest Neighbor Approach for Classifying Data with Heterogeneous Views. | Ying Xie |
| 2014 | CSCWD | Logistics scheduling based on cloud business workflows. | Rongbin Xu, Xiao Liu, Ying Xie, Futian Wang, Cheng Zhang, Yun Yang |
| 2013 | AAAI | Uncorrelated Lasso. | Sibao Chen, Chris H. Q. Ding, Bin Luo, Ying Xie |
| 2012 | GRC | A random walk model based approach for quantifying technology emergence and impact for research articles. | Ying Xie, Vijay V. Raghavan |
| 2011 | FIE | Teaching computational thinking to non-computing majors using spreadsheet functions. | Kuo-Chuan (Martin) Yeh, Ying Xie, Fengfeng Ke |
| 2010 | GRC | Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets. | Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie |
| 2010 | ICNC | Approximation Dynamic Programming for multi-intersections traffic signal intelligent control. | Chungui Li, Xianglei Yan, Shu-an Xu, Ying Xie |
| 2009 | GRC | An efficient algorithm for discovering positive and negative patterns. | Raj Singh, Tom Johnsten, Vijay V. Raghavan, Ying Xie |
| 2008 | GRC | Hyper-Textual Language Model for Web Information Retrieval. | Ying Xie, Vijay V. Raghavan, Andrew Young |
| 2008 | WSC | Learning and practising supply chain management strategies from a business simulation game: A comprehensive supply chain simulation. | Li Zhou, Ying Xie, Nigel Wild, Charles Hunt |
| 2006 | GRC | On discovering "potentially useful" patterns from databases. | Ying Xie, Tom Johnsten, Vijay V. Raghavan, Karthik Ramachandran |
| 2003 | ISMIS | Probability Logic Modeling of Knowledge Discovery in Databases. | Jitender S. Deogun, Liying Jiang, Ying Xie, Vijay V. Raghavan |