A study on information disclosure, trust, reducing search cost, and online group-buying intention. - Shu-Mei Tseng; Meng-Chieh Lee (J. Enterp. Inf. Manag., 2016)

DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition. - Meng-Chieh Lee; Yu Huang 018; Josh Jia-Ching Ying; Chien Chen; Vincent S. Tseng (ADMA, 2019)

Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks. - Yu Huang 018; Meng-Chieh Lee; Vincent S. Tseng; Ching-Jui Hsiao; Chi-Chiang Huang (BSN, 2019)

AutoAudit: Mining Accounting and Time-Evolving Graphs. - Meng-Chieh Lee; Yue Zhao 016; Aluna Wang; Pierre Jinghong Liang; Leman Akoglu; Vincent S. Tseng; Christos Faloutsos (IEEE BigData, 2020)

GAWD: graph anomaly detection in weighted directed graph databases. - Meng-Chieh Lee; Hung T. Nguyen 003; Dimitris Berberidis; Vincent S. Tseng; Leman Akoglu (ASONAM, 2021)

Gen2Out: Detecting and Ranking Generalized Anomalies. - Meng-Chieh Lee; Shubhranshu Shekhar; Christos Faloutsos; Timothy Noah Hutson; Leon D. Iasemidis (IEEE BigData, 2021)

INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection. - Meng-Chieh Lee; Catalina Vajiac; Aayushi Kulshrestha; Sacha Levy; Namyong Park; Cara Jones; Reihaneh Rabbany; Christos Faloutsos (ICDE, 2021)

gen2Out: Detecting and Ranking Generalized Anomalies. - Meng-Chieh Lee; Shubhranshu Shekhar; Christos Faloutsos; Timothy Noah Hutson; Leon D. Iasemidis (CoRR, 2021)

TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. - Mirela T. Cazzolato; Saranya Vijayakumar; Xinyi Zheng; Namyong Park; Meng-Chieh Lee; Pedro Fidalgo; Bruno Lages; Agma J. M. Traina; Christos Faloutsos (IEEE Big Data, 2022)

VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. - Pratheeksha Nair; Yifei Li; Catalina Vajiac; Andreas M. Olligschlaeger; Meng-Chieh Lee; Namyong Park; Duen Horng Chau; Christos Faloutsos; Reihaneh Rabbany (WWW (Companion Volume), 2022)

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success. - Jaemin Yoo; Meng-Chieh Lee; Shubhranshu Shekhar; Christos Faloutsos (CoRR, 2022)

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. - Mirela T. Cazzolato; Saranya Vijayakumar; Xinyi Zheng; Namyong Park; Meng-Chieh Lee; Duen Horng Chau; Pedro Fidalgo; Bruno Lages; Agma J. M. Traina; Christos Faloutsos (AAAI, 2023)

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. - Mirela Teixeira Cazzolato; Saranya Vijayakumar; Meng-Chieh Lee; Catalina Vajiac; Namyong Park; Pedro Fidalgo; Agma J. M. Traina; Christos Faloutsos (CIKM, 2023)

Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining. - Jaemin Yoo; Meng-Chieh Lee; Shubhranshu Shekhar; Christos Faloutsos (KDD, 2023)

UltraProp: Principled and Explainable Propagation on Large Graphs. - Meng-Chieh Lee; Shubhranshu Shekhar; Jaemin Yoo; Christos Faloutsos (CoRR, 2023)

TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. - Catalina Vajiac; Duen Horng Chau; Andreas M. Olligschlaeger; Rebecca Mackenzie; Pratheeksha Nair; Meng-Chieh Lee; Yifei Li; Namyong Park; Reihaneh Rabbany; Christos Faloutsos (IEEE Trans. Vis. Comput. Graph., 2023)

DeltaShield: Information Theory for Human- Trafficking Detection. - Catalina Vajiac; Meng-Chieh Lee; Aayushi Kulshrestha; Sacha Levy; Namyong Park; Andreas M. Olligschlaeger; Cara Jones; Reihaneh Rabbany; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2023)

NetInfoF Framework: Measuring and Exploiting Network Usable Information. - Meng-Chieh Lee; Haiyang Yu; Jian Zhang; Vassilis N. Ioannidis; Xiang Song 003; Soji Adeshina; Da Zheng; Christos Faloutsos (ICLR, 2024)

NETEFFECT: Discovery and Exploitation of Generalized Network Effects. - Meng-Chieh Lee; Shubhranshu Shekhar; Jaemin Yoo; Christos Faloutsos (PAKDD (1), 2024)

DiffFind: Discovering Differential Equations from Time Series. - Lalithsai Posam; Shubhranshu Shekhar; Meng-Chieh Lee; Christos Faloutsos (PAKDD (6), 2024)

Descriptive Kernel Convolution Network with Improved Random Walk Kernel. - Meng-Chieh Lee; Lingxiao Zhao; Leman Akoglu (WWW, 2024)

End-To-End Self-tuning Self-supervised Time Series Anomaly Detection. - Boje Deforce; Meng-Chieh Lee; Bart Baesens; Estefanía Serral Asensio; Jaemin Yoo; Leman Akoglu (CoRR, 2024)

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. - Meng-Chieh Lee; Qi Zhu 008; Costas Mavromatis; Zhen Han; Soji Adeshina; Vassilis N. Ioannidis; Huzefa Rangwala; Christos Faloutsos (ACL (1), 2025)

End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection. - Boje Deforce; Meng-Chieh Lee; Bart Baesens; Estefanía Serrai Asensio; Jaemin Yoo; Leman Akoglu (SDM, 2025)