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Mengnan Du

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20152025

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  • 2025

    Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models

    Shu, D. & Du, M., Apr 11 2025, Special Track on AI Alignment. Walsh, T., Shah, J. & Kolter, Z. (eds.). 28 ed. Association for the Advancement of Artificial Intelligence, p. 29490-29492 3 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 28).

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

  • Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concepts at Different Layers?

    Jin, M., Yu, Q., Huang, J., Zeng, Q., Wang, Z., Hua, W., Zhao, H., Mei, K., Meng, Y., Ding, K., Yang, F., Du, M. & Zhang, Y., 2025, Main Conference. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics (ACL), p. 558-573 16 p. (Proceedings - International Conference on Computational Linguistics, COLING; vol. Part F206484-1).

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

    1 Scopus citations

  • Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages

    Li, Z., Shi, Y., Liu, Z., Yang, F., Payani, A., Liu, N. & Du, M., Apr 11 2025, Special Track on AI Alignment. Walsh, T., Shah, J. & Kolter, Z. (eds.). 27 ed. Association for the Advancement of Artificial Intelligence, p. 28186-28194 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 27).

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

  • 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
    2 Scopus citations

  • Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models

    Li, Y., Du, M., Song, R., Wang, X. & Wang, Y., 2024, The 62nd Annual Meeting of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics, ACL 2024. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 3773-3786 14 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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

  • Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper]

    Shen, B., Marena, M., Li, C., Li, Q., Jiang, H., Du, M., Xu, J. & Wang, H., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1860-1864 5 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).

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

  • Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model

    Du, Y., Li, Q., Gnanasambandam, R., Du, M., Wang, H. & Shen, B., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1964-1971 8 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).

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

  • LawLLM: Law Large Language Model for the US Legal System

    Shu, D., Zhao, H., Liu, X., Demeter, D., Du, M. & Zhang, Y., Oct 21 2024, CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4882-4889 8 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    Open Access
    6 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

  • Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning

    Hu, J., Liu, W. & Du, M., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 7460-7475 16 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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

    Open Access

  • The Impact of Reasoning Step Length on Large Language Models

    Jin, M., Yu, Q., Dong, S., Zhao, H., Hua, W., Meng, Y., Zhang, Y. & Du, M., 2024, The 62nd Annual Meeting of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics, ACL 2024. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 1830-1842 13 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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

    Open Access
    7 Scopus citations

  • 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

    5 Scopus citations

  • Black-box Backdoor Defense via Zero-shot Image Purification

    Shi, Y., Du, M., Wu, X., Guan, Z., Sun, J. & Liu, N., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

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

    14 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

    3 Scopus citations

  • 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

    6 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
    2 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

    Open Access
    11 Scopus citations

  • M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models

    Li, X., Du, M., Chen, J., Chai, Y., Lakkaraju, H. & Xiong, H., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

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

    11 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

    2 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

    Open Access
    18 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

    7 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
    2 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

    21 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

    14 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

    53 Scopus citations

  • Mitigating gender bias in captioning systems

    Tang, R., Du, M., Li, Y., Liu, Z., Zou, N. & Hu, X., Jun 3 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

    46 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

    4 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

    Open Access
    62 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
    146 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
    988 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
    72 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
    20 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
    30 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

    11 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
    43 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
    108 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
    90 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
    99 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

    4 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