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Mengnan Du

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20152024

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  • 2024

    AI Driven Online Advertising: Market Design, Generative AI, and Ethics

    He, F., Du, M., Filos-Ratsikas, A., Cheng, L., Song, Q., Lin, M. & Vines, J., May 13 2024, WWW 2024 Companion - Companion Proceedings of the ACM Web Conference. Association for Computing Machinery, Inc, p. 1407-1409 3 p. (WWW 2024 Companion - Companion Proceedings of the ACM Web Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    1 Scopus citations

  • Mitigating Shortcuts in Language Models with Soft Label Encoding

    He, Z., Deng, H., Zhao, H., Liu, N. & Du, M., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 11341-11348 8 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models

    Tang, R., Chuang, Y. N., Cai, X., Du, M. & Hu, X., 2024, Findings of the Association for Computational Linguistics: NAACL 2024 - Findings. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 4061-4073 13 p. (Findings of the Association for Computational Linguistics: NAACL 2024 - Findings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Unveiling Project-Specific Bias in Neural Code Models

    Li, Z., Li, Y., Li, T., Du, M., Wu, B., Cao, Y., Jiang, J. & Liu, Y., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 17205-17216 12 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2023

    Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks

    Guan, Z., Sun, L., Du, M. & Liu, N., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 608-618 11 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Scopus citations

  • Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection

    Tang, R., Du, M. & Hu, X., 2023, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Proceedings. De Francisci Morales, G., Bonchi, F., Perlich, C., Ruchansky, N., Kourtellis, N. & Baralis, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 157-173 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14174 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Error Detection on Knowledge Graphs with Triple Embedding

    Liu, Y., Zhang, Q., Du, M., Huang, X. & Hu, X., 2023, 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 1604-1608 5 p. (European Signal Processing Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Scopus citations

  • Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks

    Tang, R., Wigington, C., Jin, H., Jain, R., Du, M. & Hu, X., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4315-4319 5 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    1 Scopus citations

  • Fairness via Group Contribution Matching

    Li, T., Li, Z., Li, A., Du, M., Liu, A., Guo, Q., Meng, G. & Liu, Y., 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 436-445 10 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    5 Scopus citations

  • Mitigating Algorithmic Bias with Limited Annotations

    Wang, G., Du, M., Liu, N., Zou, N. & Hu, X., 2023, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 241-258 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14170 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations

  • Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases

    Li, Y., Du, M., Wang, X. & Wang, Y., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 14254-14267 14 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    13 Scopus citations

  • Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding

    Du, M., Mukherjee, S., Cheng, Y., Shokouhi, M., Hu, X. & Awadallah, A. H., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1758-1770 13 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    5 Scopus citations

  • XGBD: Explanation-Guided Graph Backdoor Detection

    Guan, Z., Du, M. & Liu, N., Sep 28 2023, ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Gal, K., Gal, K., Nowe, A., Nalepa, G. J., Fairstein, R. & Radulescu, R. (eds.). IOS Press BV, p. 932-939 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 372).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    1 Scopus citations
  • 2022

    Generating Consistent Multimodal Dialogue Responses with Emoji Context Model

    Zuo, X., Yu, X., Du, M. & Song, Q., 2022, 2022 IEEE 5th International Conference on Artificial Intelligence and Big Data, ICAIBD 2022. Institute of Electrical and Electronics Engineers Inc., p. 617-624 8 p. (2022 IEEE 5th International Conference on Artificial Intelligence and Big Data, ICAIBD 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Scopus citations

  • Towards Debiasing DNN Models from Spurious Feature Influence

    Du, M., Tang, R., Fu, W. & Hu, X., Jun 30 2022, AAAI-22 Technical Tracks 9. Association for the Advancement of Artificial Intelligence, p. 9521-9528 8 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Scopus citations

  • Towards Learning Disentangled Representations for Time Series

    Li, Y., Chen, Z., Zha, D., Du, M., Ni, J., Zhang, D., Chen, H. & Hu, X., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3270-3278 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    14 Scopus citations
  • 2021

    A Unified Taylor Framework for Revisiting Attribution Methods

    Deng, H., Zou, N., Du, M., Chen, W., Feng, G. & Hu, X., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 11462-11469 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 13A).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    11 Scopus citations

  • Fairness via Representation Neutralization

    Du, M., Mukherjee, S., Wang, G., Tang, R., Awadallah, A. H. & Hu, X., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 12091-12103 13 p. (Advances in Neural Information Processing Systems; vol. 15).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    43 Scopus citations

  • Mitigating gender bias in captioning systems

    Tang, R., Du, M., Li, Y., Liu, Z., Zou, N. & Hu, X., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 633-645 13 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    33 Scopus citations

  • Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution

    Deng, H., Zou, N., Chen, W., Feng, G., Du, M. & Hu, X., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 258-268 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Scopus citations

  • Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models

    Du, M., Manjunatha, V., Jain, R., Deshpande, R., Dernoncourt, F., Gu, J., Sun, T. & Hu, X., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 915-929 15 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    51 Scopus citations
  • 2020

    An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

    Tang, R., Du, M., Liu, N., Yang, F. & Hu, X., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 218-228 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    115 Scopus citations

  • Deep neural networks with knowledge instillation

    Yang, F., Liu, N., Du, M., Zhou, K., Ji, S. & Hu, X., 2020, Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020. Demeniconi, C. & Chawla, N. (eds.). Society for Industrial and Applied Mathematics Publications, p. 370-378 9 p. (Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    2 Scopus citations

  • Score-CAM: Score-weighted visual explanations for convolutional neural networks

    Wang, H., Wang, Z., Du, M., Yang, F., Zhang, Z., Ding, S., Mardziel, P. & Hu, X., Jun 2020, Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020. IEEE Computer Society, p. 111-119 9 p. 9150840. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2020-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    781 Scopus citations

  • Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder

    Du, M., Pentyala, S., Li, Y. & Hu, X., Oct 19 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 325-334 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    65 Scopus citations
  • 2019

    Deep Structured Cross-Modal Anomaly Detection

    Li, Y., Liu, N., Li, J., Du, M. & Hu, X., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852136. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    15 Scopus citations

  • Identification of cancer survivors living with PTSD on social media

    Ismail, N. H., Liu, N., Du, M., He, Z. & Hu, X., Aug 21 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Seroussi, B., Ohno-Machado, L., Ohno-Machado, L. & Seroussi, B. (eds.). IOS Press, p. 1468-1469 2 p. (Studies in Health Technology and Informatics; vol. 264).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning credible deep neural networks with rationale regularization

    Du, M., Liu, N., Yang, F. & Hu, X., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 150-159 10 p. 8970999. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    28 Scopus citations

  • Multivariate multi-step deep learning time series approach in forecasting Parkinson’s disease future severity progression

    Ismail, N. H., Du, M., Martinez, D. & He, Z., Sep 4 2019, ACM-BCB 2019 - Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. Association for Computing Machinery, Inc, p. 383-389 7 p. (ACM-BCB 2019 - Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    9 Scopus citations

  • On attribution of recurrent neural network predictions via additive decomposition

    Du, M., Liu, N., Yang, F., Ji, S. & Hu, X., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 383-393 11 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    40 Scopus citations

  • Representation interpretation with spatial encoding and multimodal analytics

    Liu, N., Du, M. & Hu, X., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 60-68 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    14 Scopus citations

  • SpeCAE: Spectral autoencoder for anomaly detection in attributed networks

    Li, Y., Huang, X., Li, J., Du, M. & Zou, N., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2233-2236 4 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    80 Scopus citations

  • XFake: Explainable fake news detector with visualizations

    Yang, F., Du, M., Ragan, E. D., Pentyala, S. K., Yuan, H., Ji, S., Mohseni, S., Linder, R. & Hu, X., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 3600-3604 5 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    77 Scopus citations
  • 2018

    Towards explanation of DNN-based prediction with guided feature inversion

    Du, M., Liu, N., Song, Q. & Hu, X., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1358-1367 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    90 Scopus citations
  • 2016

    Exploiting deep convolutional network and patch-level CRFs for indoor semantic segmentation

    Wu, X., Du, M., Chen, W. & Li, Z., Oct 19 2016, Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc., p. 150-155 6 p. 7603568. (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Scopus citations
  • 2015

    Fusing region contrast and graph regularization for saliency detection

    Du, M., Wu, X., Chen, W. & Wang, J., Jul 17 2015, Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015. Institute of Electrical and Electronics Engineers Inc., p. 5789-5794 6 p. 7161839. (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations