I am a third-year Ph.D. candidate at Emory University advised by Dr. Kai Shu. I obtained my M.S. degree in computer science from University of Oregon in 2021 (advised by Dr. Thien Nguyen), and my B.S. degree in computer science from Purdue University in 2019 (working with Dr. Yung-Hsiang Lu).

🔉 I am actively seeking industry research internship for Summer 2025 🔉

💡 Research Interests

My research involves building trustworthy AI systems, with a specific emphasis on enhancing both robustness and interpretability. I am broadly interested in fundamental research and interdisciplinary collaborations motivated by important applications, including detecting misinformation and analyzing social network.

🔥 News

  • 2025.01:  🎉🎉 Fin-Fact has been accepted by WWW 2025. Congratulations Aman!
  • 2024.11:  🎉🎉 MMCV has been accepted by COLING 2025.
  • 2024.08:  🎉🎉 Our Fin-Fact dataset has been used for shared task for FinNLP@COLING2025.
  • 2024.07:  🎉🎉 TA2 has been accepted by CIKM 2024.
  • 2024.05:  🎉🎉 TrustLLM has been accepted by ICML 2024. Congratulations Yue!
  • 2024.02:  🎉🎉 Passed Ph.D. Qualifying Exam.

📜 Selected Publications

COLING 2025
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Piecing It All Together: Verifying Multi-Hop Multimodal Claims

Haoran Wang, Aman Rangapur, Xiongxiao Xu, Yueqing Liang, Haroon Gharwi, Carl Yang, Kai Shu

Proceedings of the 31st International Conference on Computational Linguistics

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CIKM 2024
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Trojan Activation Attack: Red-Teaming Large Language Models using Steering Vectors for Safety-Alignment

Haoran Wang, Kai Shu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

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ICML 2024
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TrustLLM: Trustworthiness in Large Language Models

Yue Huang*, Lichao Sun*, Haoran Wang*, Siyuan Wu*, Qihui Zhang*, Chujie Gao*, Yixin Huang*, Wenhan Lyu*, Yixuan Zhang*, Xiner Li*, Zhengliang Liu*, Yixin Liu*, Yijue Wang*, Zhikun Zhang*, Bhavya Kailkhura, Caiming Xiong, et al. (*: major contribution).

Proceedings of the Forty-first International Conference on Machine Learning

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EMNLP 2023
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Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models

Haoran Wang, Kai Shu

Findings of the Association for Computational Linguistics: EMNLP 2023

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WWW 2023
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Attacking Fake News Detectors via Manipulating News Social Engagement

Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu

Proceedings of the ACM Web Conference 2023

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🔬 Research Experience

Illinois Institute of Technology, 8/2022-Present
Research Assistant, supervised by Kai Shu

Purdue University, 8/2018-5/2019
Research Assistant, supervised by Yung-Hsiang Lu

Education

  • 2022 - Now, Ph.D., Computer Science. Emory University.
  • 2021, M.S., Computer Science. University of Oregon.
  • 2019, B.S., Computer Science. Purdue University.

Academic Service

  • Session Chair: CIKM 2024
  • Reviewer/Program Committee: KDD{2024, 2025}, AAAI{2024, 2025}, PAKDD{2025}
  • Volunteer: ACM FAccT 2023

Last updated on Jan 23, 2025.