| Consensus, polarization and clustering of opinions in social networks L Li, A Scaglione, A Swami, Q Zhao IEEE Journal on Selected Areas in Communications 31 (6), 1072-1083, 2013 | 153 | 2013 |
| A Review of Distributed Algorithms for Principal Component Analysis SX Wu, HT Wai, L Li, A Scaglione Proceedings of the IEEE 106 (8), 1321-1340, 2018 | 124 | 2018 |
| Distributed principal subspace estimation in wireless sensor networks L Li, A Scaglione, JH Manton IEEE Journal of Selected Topics in Signal Processing 5 (4), 725-738, 2011 | 99 | 2011 |
| Models for the diffusion of beliefs in social networks: An overview C Chamley, A Scaglione, L Li IEEE Signal Processing Magazine 30 (3), 16-29, 2013 | 96 | 2013 |
| Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries L Li, E Gupta, J Spaeth, L Shing, R Jaimes, E Engelhart, R Lopez, ... Nature Communications 14 (1), 3454, 2023 | 48 | 2023 |
| Detection and Characterization of Human Trafficking Networks Using Unsupervised Scalable Text Template Matching L Li, O Simek, A Lai, M Daggett, CK Dagli, C Jones 2018 IEEE International Conference on Big Data (Big Data), 3111-3120, 2018 | 38 | 2018 |
| Identification and Detection of Human Trafficking Using Language Models J Zhu, L Li, C Jones 2019 European Intelligence and Security Informatics Conference (EISIC), 24-31, 2019 | 32 | 2019 |
| Phase transition in opinion diffusion in social networks L Li, A Scaglione, A Swami, Q Zhao 2012 IEEE international conference on Acoustics, speech and signal …, 2012 | 23 | 2012 |
| Cross-Domain Entity Resolution in Social Media WM Campbell, L Li, C Dagli, J Acevedo-Aviles, K Geyer, JP Campbell, ... arXiv preprint arXiv:1608.01386, 2016 | 17 | 2016 |
| Trust, opinion diffusion and radicalization in social networks L Li, A Scaglione, A Swami, Q Zhao 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals …, 2011 | 16 | 2011 |
| Machine-learning-accelerated simulations to enable automatic surface reconstruction X Du, JK Damewood, JR Lunger, R Millan, B Yildiz, L Li, ... Nature Computational Science, 1-11, 2023 | 14 | 2023 |
| Matching Community Structure Across Online Social Networks L Li, WM Campbell | 13 | 2016 |
| Decentralized subspace tracking via gossiping L Li, X Li, A Scaglione, JH Manton International Conference on Distributed Computing in Sensor Systems, 130-143, 2010 | 12 | 2010 |
| Antibody Representation Learning for Drug Discovery L Li, E Gupta, J Spaeth, L Shing, T Bepler, RS Caceres arXiv preprint arXiv:2210.02881, 2022 | 7 | 2022 |
| Predicting and Analyzing Factors in Patent Litigation W Campbell, L Li, C Dagli, K Greenfield, E Wolf, J Campbell NIPS2016, ML and the Law Workshop, 2016 | 7 | 2016 |
| Learning hidden Markov sparse models L Li, A Scaglione 2013 Information Theory and Applications Workshop (ITA), 1-10, 2013 | 7 | 2013 |
| Graph Contrastive Learning for Materials T Koker, K Quigley, W Spaeth, NC Frey, L Li arXiv preprint arXiv:2211.13408, 2022 | 6 | 2022 |
| Scalable Geometric Deep Learning on Molecular Graphs NC Frey, S Samsi, J McDonald, L Li, CW Coley, V Gadepally NeurIPS 2021 AI for Science Workshop, 2021 | 5 | 2021 |
| Higher-order equivariant neural networks for charge density prediction in materials T Koker, K Quigley, E Taw, K Tibbetts, L Li npj Computational Materials 10 (1), 161, 2024 | 4* | 2024 |
| Graph Model Selection via Random Walks L Li, WM Campbell, RS Caceres arXiv preprint arXiv:1704.05516, 2017 | 3 | 2017 |
Anna ScaglioneProfessor of Electrical and Computer Engineering, Cornell UniversityVerified email at cornell.edu
