Mengnan Du
Orcid: 0000-0002-1614-6069
According to our database1,
Mengnan Du
authored at least 99 papers
between 2016 and 2024.
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Bibliography
2024
ACM Trans. Intell. Syst. Technol., April, 2024
Commun. ACM, January, 2024
IEEE Trans. Pattern Anal. Mach. Intell., 2024
CoRR, 2024
ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction.
CoRR, 2024
CoRR, 2024
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
CoRR, 2024
CoRR, 2024
What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents.
CoRR, 2024
CoRR, 2024
Opening the Black Box of Large Language Models: Two Views on Holistic Interpretability.
CoRR, 2024
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure.
CoRR, 2024
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training.
CoRR, 2024
CoRR, 2024
Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation.
Artif. Intell., 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Enhancing Fairness in In-Context Learning: Prioritizing Minority Samples in Demonstrations.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
M<sup>4</sup>: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models.
IEEE Trans. Comput. Soc. Syst., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey.
CoRR, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
SIGKDD Explor., 2021
SIGKDD Explor., 2021
Learning credible DNNs via incorporating prior knowledge and model local explanation.
Knowl. Inf. Syst., 2021
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
MultiCode: A Unified Code Analysis Framework based on Multi-type and Multi-granularity Semantic Learning.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter.
BMC Medical Informatics Decis. Mak., 2020
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection.
CoRR, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
CoRR, 2019
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media.
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Multivariate Multi-step Deep Learning Time Series Approach in Forecasting Parkinson's Disease Future Severity Progression.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Digit. Signal Process., 2017
2016
Sci. China Inf. Sci., 2016