Meng-Chieh Lee

According to our database, Meng-Chieh Lee authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Descriptive Kernel Convolution Network with Improved Random Walk Kernel.

Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu

Proceedings of the ACM on Web Conference 2024, 2024

DiffFind: Discovering Differential Equations from Time Series.

Lalithsai Posam, Shubhranshu Shekhar, Meng-Chieh Lee, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

NETEFFECT: Discovery and Exploitation of Generalized Network Effects.

Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

NetInfoF Framework: Measuring and Exploiting Network Usable Information.

Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, February, 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

UltraProp: Principled and Explainable Propagation on Large Graphs.

Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos

CoRR, 2023

Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining.

Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success.

Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos

CoRR, 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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

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

Proceedings of the IEEE International Conference on Big Data, 2022

2021

gen2Out: Detecting and Ranking Generalized Anomalies.

Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis

CoRR, 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

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Gen²Out: Detecting and Ranking Generalized Anomalies.

Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

GAWD: graph anomaly detection in weighted directed graph databases.

Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

AutoAudit: Mining Accounting and Time-Evolving Graphs.

Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks.

Yu Huang, Meng-Chieh Lee, Vincent S. Tseng, Ching-Jui Hsiao, Chi-Chiang Huang

Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition.

Meng-Chieh Lee, Yu Huang, Josh Jia-Ching Ying, Chien Chen, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2016

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