C. Lee Giles

Affiliate Researcher
Titles and Affiliations
David Reese Professor, College of Information Sciences and Technology
Professor, Supply Chain and Information Systems
Professor, Computer Science and Engineering

In the News

Research Keywords

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Projects

Recent Publications

Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration

Chakravorti, T., Singh, V., Rajtmajer, S., McLaughlin, M., Fraleigh, R., Griffin, C., Kwasnica, A., Pennock, D. & Lee Giles, C., 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 2304-2306 3 p.

Research output: Contribution to journalConference articlepeer-review

Automating document classification with distant supervision to increase the efficiency of systematic reviews: A case study on identifying studies with HIV impacts on female sex workers

Li, X., Zhang, A., Al-Zaidy, R., Rao, A., Baral, S., Bao, L. & Giles, C. L., Jun 2022, In: PloS one. 17, 6 June, e0270034.

Research output: Contribution to journalArticlepeer-review

Understanding the onset of hot streaks across artistic, cultural, and scientific careers

Liu, L., Dehmamy, N., Chown, J., Giles, C. L. & Wang, D., Dec 1 2021, In: Nature communications. 12, 1, 5392.

Research output: Contribution to journalArticlepeer-review

Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks

Mali, A., Ororbia, A., Kifer, D. & Giles, L., 2021, In: Proceedings of Machine Learning Research. 153, p. 154-175 22 p.

Research output: Contribution to journalConference articlepeer-review

Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack

Mali, A., Ororbia, A., Kifer, D. & Giles, L., 2021, In: Proceedings of Machine Learning Research. 153, p. 130-153 24 p.

Research output: Contribution to journalConference articlepeer-review

Understanding and predicting retractions of published work

Modukuri, S. A., Rajtmajer, S., Squicciarini, A. C., Wu, J. & Giles, C. L., 2021, In: CEUR Workshop Proceedings. 2831

Research output: Contribution to journalConference articlepeer-review

Design and analysis of a synthetic prediction market using dynamic convex sets

Nakshatri, N., Menon, A., Giles, C. L., Rajtmajer, S. & Griffin, C., Dec 2021, In: Results in Control and Optimization. 5, 100052.

Research output: Contribution to journalArticlepeer-review

Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them

Reeves, B., Ram, N., Robinson, T. N., Cummings, J. J., Giles, C. L., Pan, J., Chiatti, A., Cho, M., Roehrick, K., Yang, X., Gagneja, A., Brinberg, M., Muise, D., Lu, Y., Luo, M., Fitzgerald, A. & Yeykelis, L., 2021, In: Human-Computer Interaction. 36, 2, p. 150-201 52 p.

Research output: Contribution to journalArticlepeer-review

Ranked list fusion and re-ranking with pre-trained transformers for ARQMath lab

Rohatgi, S., Wu, J. & Giles, C. L., 2021, In: CEUR Workshop Proceedings. 2936, p. 125-132 8 p.

Research output: Contribution to journalConference articlepeer-review

Deep Learning Can Predict Laboratory Quakes From Active Source Seismic Data

Shokouhi, P., Girkar, V., Rivière, J., Shreedharan, S., Marone, C., Giles, C. L. & Kifer, D., Jun 28 2021, In: Geophysical Research Letters. 48, 12, e2021GL093187.

Research output: Contribution to journalArticlepeer-review

Physics-informed deep learning for prediction of CO2 storage site response

Shokouhi, P., Kumar, V., Prathipati, S., Hosseini, S. A., Giles, C. L. & Kifer, D., Aug 2021, In: Journal of Contaminant Hydrology. 241, 103835.

Research output: Contribution to journalArticlepeer-review

Guest Editorial: Scholarly Big Data

Xia, F., Giles, C. L., Liu, H. & Wang, K., Jan 1 2021, In: IEEE Transactions on Emerging Topics in Computing. 9, 1, p. 200-203 4 p., 9372350.

Research output: Contribution to journalEditorialpeer-review

An entropy metric for regular grammar classification and learning with recurrent neural networks

Zhang, K., Wang, Q. & Giles, C. L., Feb 2021, In: Entropy. 23, 1, p. 1-19 19 p., 127.

Research output: Contribution to journalArticlepeer-review

CODA-19: Using a non-expert crowd to annotate research aspects on 10,000+ abstracts in the COVID-19 open research dataset

Huang, T. H., Huang, C. Y., Ding, C. K. C., Hsu, Y. C. & Lee Giles, C., 2020, In: Proceedings of the Annual Meeting of the Association for Computational Linguistics.

Research output: Contribution to journalConference articlepeer-review

Large Scale Subject Category Classification of Scholarly Papers With Deep Attentive Neural Networks

Kandimalla, B., Rohatgi, S., Wu, J. & Giles, C. L., 2020, In: Frontiers in Research Metrics and Analytics. 5, 600382.

Research output: Contribution to journalArticlepeer-review