Collaboration as Scaffolding: Learning Together with Dynamic, Interactive Scientific Visualizations and Computer Models. - Marcia C. Linn; Ji Shen; Hsin-Yi Chang; Fang-Pei Hsieh; Beat Schwendimann; Camillia Matuk; Jennifer King Chen; Jennifer L. Chiu; Charles Xie; Baohui Zhang; Daner Sun; Karel Mous; et al. (CSCL, 2011)

Detecting Iterative Cycles of Engineering Design from Student Digital Footprints in Computer-Aided Design Software. - Helen Zhihui Zhang; Charles Xie; Saeid Nourian (ICLS, 2014)

Using Machine Learning Techniques to Capture Engineering Design Behaviors. - James P. Bywater; Mark Floryan; Jennifer L. Chiu; Jie Chao; Corey Schimpf; Charles Xie; Camilo Vieira 001; Alejandra J. Magana; Chandan Dasgupta (ICLS, 2018)

Learning and teaching engineering design through modeling and simulation on a CAD platform. - Charles Xie; Corey Schimpf; Jie Chao; Saeid Nourian; Joyce Massicotte (Comput. Appl. Eng. Educ., 2018)

Augmented scientific investigation: support the exploration of invisible "fine details" in science via augmented reality. - Shiyan Jiang; Xudong Huang; Charles Xie; Shannon Sung; Rabia Yalcinkaya (IDC, 2020)

Understanding Science Learning Through Writings on Engineering Design. - Xudong Huang; Wanli Xing; Henglv Zhao; Jie Chao; Corey Schimpf; Guanhua Chen 009; Charles Xie (ICLS, 2020)

Longitudinal clustering of students' self-regulated learning behaviors in engineering design. - Shan Li; Guanhua Chen 009; Wanli Xing; Juan Zheng; Charles Xie (Comput. Educ., 2020)

Examining temporal dynamics of self-regulated learning behaviors in STEM learning: A network approach. - Shan Li; Hanxiang Du; Wanli Xing; Juan Zheng; Guanhua Chen 009; Charles Xie (Comput. Educ., 2020)

Profiling self-regulation behaviors in STEM learning of engineering design. - Juan Zheng; Wanli Xing; Gaoxia Zhu; Guanhua Chen 009; Henglv Zhao; Charles Xie (Comput. Educ., 2020)

Part-Aware Product Design Agent Using Deep Generative Network and Local Linear Embedding. - Xingang Li; Charles Xie; Zhenghui Sha (HICSS, 2021)

Adopting No-Code Methods to Visualize Computational Thinking. - Shannon Sung; Derrick Hylton; Charles Xie (ICCE, 2021)

Milvus: A Purpose-Built Vector Data Management System. - Jianguo Wang 001; Xiaomeng Yi; Rentong Guo; Hai Jin 001; Peng Xu 003; Shengjun Li; Xiangyu Wang; Xiangzhou Guo; Chengming Li; Xiaohai Xu; Kun Yu; Yuxing Yuan; et al. (SIGMOD Conference, 2021)

Enhancing distance learning of science - Impacts of remote labs 2.0 on students' behavioural and cognitive engagement. - Shannon Hsianghan-Huang Sung; Chenglu Li; Xudong Huang; Charles Xie (J. Comput. Assist. Learn., 2021)

Using machine learning to predict engineering technology students' success with computer-aided design. - Jasmine Singh; Viranga Perera; Alejandra J. Magana; Brittany Newell; Jin Wei-Kocsis; Ying Ying Seah; Greg J. Strimel; Charles Xie (Comput. Appl. Eng. Educ., 2022)

Manu: A Cloud Native Vector Database Management System. - Rentong Guo; Xiaofan Luan; Long Xiang; Xiao Yan 002; Xiaomeng Yi; Jigao Luo; Qianya Cheng; Weizhi Xu 003; Jiarui Luo; Frank Liu 007; Zhenshan Cao; Yanliang Qiao; et al. (Proc. VLDB Endow., 2022)

Engaging Students in Distance Learning of Science With Remote Labs 2.0. - Charles Xie; Chenglu Li; Shannon Sung; Rundong Jiang (IEEE Trans. Learn. Technol., 2022)

Learned Probing Cardinality Estimation for High-Dimensional Approximate NN Search. - Bolong Zheng; Ziyang Yue; Qi Hu; Xiaomeng Yi; Xiaofan Luan; Charles Xie; Xiaofang Zhou 001; Christian S. Jensen (ICDE, 2023)

Using Computer Graphics to Make Science Visible in Engineering Education. - Charles Xie; Xiaotong Ding; Rundong Jiang (IEEE Computer Graphics and Applications, 2023)

Integrating infrared technologies in science learning: An evidence-based reasoning perspective. - Bo Pei; Wanli Xing; Gaoxia Zhu; Kristine Antonyan; Charles Xie (Educ. Inf. Technol., 2023)

FARGO: Fast Maximum Inner Product Search via Global Multi-Probing. - Xi Zhao 006; Bolong Zheng; Xiaomeng Yi; Xiaofan Luan; Charles Xie; Xiaofang Zhou 001; Christian S. Jensen (Proc. VLDB Endow., 2023)

The role of self-regulated learning on science and design knowledge gains in engineering projects. - Juan Zheng; Wanli Xing; Xudong Huang; Shan Li; Guanhua Chen 009; Charles Xie (Interact. Learn. Environ., 2023)

Teaching thermodynamics with augmented interaction and learning analytics. - Wanli Xing; Xudong Huang; Chenglu Li; Charles Xie (Comput. Educ., 2023)

Using learning analytics to support students' engineering design: the angle of prediction. - Wanli Xing; Bo Pei; Shan Li; Guanhua Chen 009; Charles Xie (Interact. Learn. Environ., 2023)

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment. - Mengzhao Wang; Weizhi Xu 003; Xiaomeng Yi; Songlin Wu; Zhangyang Peng; Xiangyu Ke; Yunjun Gao; Xiaoliang Xu; Rentong Guo; Charles Xie (Proc. ACM Manag. Data, 2024)

Vector Databases: What's Really New and What's Next? - Jianguo Wang 001; Eric Hanson; Guoliang Li 001; Yannis Papakonstantinou; Harsha Simhadri; Charles Xie (Proc. VLDB Endow., 2024)