Supporting Event Based Traceability through High-Level Recognition of Change Events. - Jane Cleland-Huang; Carl K. Chang; Yujia Ge (COMPSAC, 2002)

An Empirical Performance Study for Validating a Performance Analysis Approach: PSIM. - Jinchun Xia; Yujia Ge; Carl K. Chang (COMPSAC (1), 2005)

Capability-based Project Scheduling with Genetic Algorithms. - Yujia Ge; Carl K. Chang (CIMCA/IAWTIC, 2006)

An Empirical Performance Study on PSIM. - Jinchun Xia; Carl K. Chang; Jeffrey C. Wise; Yujia Ge (Comput. J., 2006)

A Stability and Efficiency Oriented Rescheduling Approach for Software Project Management. - Yujia Ge; Lijun Bai (ICSOFT (SE), 2007)

Time-line based model for software project scheduling with genetic algorithms. - Carl K. Chang; Hsinyi Jiang; Yu Di; Dan Zhu; Yujia Ge (Inf. Softw. Technol., 2008)

Quick tendency forecast on Internet public opinions. - Bin Xu; Huanyu Zhou; Yujia Ge (FSKD, 2010)

Fault-tolerant scheduling algorithm for precedence constrained tasks in grid computing systems with communication efficiency. - Yun Ling; Zhenshan Luo; Yujia Ge (ICIS, 2010)

A Dependable Cluster Based Topology in P2P Networks. - Guiyi Wei; Yun Ling; Ye Gu; Yujia Ge (J. Commun., 2010)

Receiving-peer-driven multi-video-source scheduling algorithms in mobile P2P overlay networks. - Mande Xie; Guiyi Wei; Yujia Ge; Yun Ling (Comput. Electr. Eng., 2012)

Detecting Falls Using Accelerometers by Adaptive Thresholds in Mobile Devices. - Yujia Ge; Bin Xu (J. Comput., 2014)

Maximizing Information Transmission for Energy Harvesting Sensor Networks by an Uneven Clustering Protocol and Energy Management. - Yujia Ge; Yurong Nan; Yi Chen (KSII Trans. Internet Inf. Syst., 2020)

Maximizing network throughput by cooperative reinforcement learning in clustered solar-powered wireless sensor networks. - Yujia Ge; Yurong Nan; Xianhai Guo (Int. J. Distributed Sens. Networks, 2021)

Towards Effective Crowd-Assisted Similarity Retrieval of Large Cursive Chinese Calligraphic Character Images. - Haohong Li; Yi Zhuang 001; Yujia Ge; Tao Lou (CNIOT, 2023)

TCM-KLLaMA: Intelligent generation model for Traditional Chinese Medicine Prescriptions based on knowledge graph and large language model. - Yi Zhuang 001; Lingkai Yu; Nan Jiang 002; Yujia Ge (Comput. Biol. Medicine, 2025)