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Collaborations and top research areas from the last five years
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Accelerating Realization of Effective Capacity in Lightweight Vision Models via Self-Competitive Distillation
Zhang, W., Li, B., Liu, H., Ding, P. L. K. & Dalyanci, A. A., Apr 2026, In: Algorithms. 19, 4, 262.Research output: Contribution to journal › Article › peer-review
Open Access -
Can Typos Cause Harm? The Impact of Imperfect Input on LLM Safety
Zinjad, S., Bhattacharjee, A., Beigi, A. & Liu, H., 2026, Social, Cultural, and Behavioral Modeling - 18th International Conference, SBP-BRiMS 2025, Proceedings. Thomson, R., Pyke, A. A., Renshaw, S., Park, P., Al-khateeb, S. & Burger, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 233-243 11 p. (Lecture Notes in Computer Science; vol. 16127 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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CausalBench+: Causal-Informed Machine Learning Benchmarking
Kapkic, A., Mandal, P., Gorantla, A., Wan, S., Coban, E., Liu, H. & Candan, K. S., May 5 2026, Proceedings of the 19th ACM International Conference on Web Search and Data Mining, WSDM 2026 Companion. Association for Computing Machinery, Inc, p. 120-122 3 p. (Proceedings of the 19th ACM International Conference on Web Search and Data Mining, WSDM 2026 Companion).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Causality Guided Representation Learning for Cross-Style Hate Speech Detection
Zhao, C., Wan, S., Sheth, P., Patwa, K., Candan, K. S. & Liu, H., Apr 12 2026, WWW 2026 - Proceedings of the ACM Web Conference 2026. Association for Computing Machinery, Inc, p. 1819-1829 11 p. (WWW 2026 - Proceedings of the ACM Web Conference 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Domain Knowledge-Enhanced LLMs for Fraud and Concept Drift Detection
Şenol, A., Agrawal, G. & Liu, H., Feb 2026, In: Electronics (Switzerland). 15, 3, 534.Research output: Contribution to journal › Article › peer-review
Open Access
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SaTC: EDU: AISecKG: AI for Cybersecurity Education via an LLM-enabled Security Knowledge Graph
Liu, H. (PI) & Chen, Y.-C. (CoI)
National Science Foundation (NSF)
4/1/24 → 3/31/27
Project: Research project
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Elements: CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration
Liu, H. (CoI) & Candan, K. (PI)
National Science Foundation (NSF)
7/1/23 → 6/30/26
Project: Research project
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III: SMALL: Graph Contrastive Learning for Few-shot Node Classification
Liu, H. (PI)
National Science Foundation (NSF)
1/1/23 → 12/31/25
Project: Research project
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PIPP Phase I: Predicting Emergence in Multidisciplinary Pandemic Tipping-points (PREEMPT)
Liu, H. (CoI) & Candan, K. (PI)
National Science Foundation (NSF)
8/1/22 → 1/31/25
Project: Research project
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High Performance Computing Cluster for NLP and Deep Learning Approaches to Understanding Social, Psychological, and Rhetorical Dimensions of Influence in Cross-Cultural Contexts
Liu, H. (CoI), Corman, S. (CoI) & Ruston, S. (PI)
DOD-NAVY: Office of Naval Research (ONR)
4/1/22 → 3/31/23
Project: Research project