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Dive into the research topics where Mengnan Du is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Deng, H., Pei, H., Zhang, Q. & Du, M., 2026, (Accepted/In press) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Contribution to journal › Article › peer-review
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Aligning large language models and geometric deep models for protein representation
Shu, D., Duan, B., Guo, K., Zhou, K., Tang, J. & Du, M., May 9 2025, In: Patterns. 6, 5, 101227.Research output: Contribution to journal › Article › peer-review
Open Access6 Link opens in a new tab Scopus citations -
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
Shu, D., Wu, X., Zhao, H., Rai, D., Yao, Z., Liu, N. & Du, M., 2025, EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). Association for Computational Linguistics (ACL), p. 1690-1712 23 p. (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Scopus citations -
BATED: Learning fair representation for Pre-trained Language Models via biased teacher-guided disentanglement
Li, Y., Du, M., Song, R., Liu, M. & Wang, Y., Nov 2025, In: Artificial Intelligence. 348, 104401.Research output: Contribution to journal › Article › peer-review
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BEYOND SINGLE CONCEPT VECTOR: MODELING CONCEPT SUBSPACE IN LLMS WITH GAUSSIAN DISTRIBUTION
Zhao, H., Zhao, H., Shen, B., Payani, A., Yang, F. & Du, M., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 27066-27094 29 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Link opens in a new tab Scopus citations
Press/Media
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HOT TOPICS OF GENERATIVE AI ARE THE FOCUS OF 2023 DATA SCIENCE SUMMIT
Roshan, U., Du, M., Bader, D., Xu, M. & Koutis, I.
11/9/23
1 item of Media coverage
Press/Media: Press / Media