Mengnan Du

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 126

Top Venues

Publications

Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen
Neural Operator for Accelerating Coronal Magnetic Field Model. CoRR (2024)
Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR (2024)
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR (2024)
Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
Explainability for Large Language Models: A Survey. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Jingyu Hu, Mengnan Du
Enhancing Fairness in In-Context Learning: Prioritizing Minority Samples in Demonstrations. Tiny Papers @ ICLR (2024)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines
AI Driven Online Advertising: Market Design, Generative AI, and Ethics. WWW (Companion Volume) (2024)
Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? CoRR (2024)
Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du
Mitigating Shortcuts in Language Models with Soft Label Encoding. LREC/COLING (2024)
Jiamin Chen, Xuhong Li, Yanwu Xu, Mengnan Du, Haoyi Xiong
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training. CoRR (2024)
Dong Shu, Tianle Chen, Mingyu Jin, Yiting Zhang, Chong Zhang, Mengnan Du, Yongfeng Zhang
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. CoRR (2024)
Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu
Unveiling Project-Specific Bias in Neural Code Models. LREC/COLING (2024)
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM 67 (1) (2024)
Mingyu Jin, Haochen Xue, Zhenting Wang, Boming Kang, Ruosong Ye, Kaixiong Zhou, Mengnan Du, Yongfeng Zhang
ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction. CoRR (2024)
Mingyu Jin, Beichen Wang, Zhaoqian Xue, Suiyuan Zhu, Wenyue Hua, Hua Tang, Kai Mei, Mengnan Du, Yongfeng Zhang
What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents. CoRR (2024)
Mingyu Jin, Hua Tang, Chong Zhang, Qinkai Yu, Chengzhi Liu, Suiyuan Zhu, Yongfeng Zhang, Mengnan Du
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. CoRR (2024)
Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du
The Impact of Reasoning Step Length on Large Language Models. ACL (Findings) (2024)
Haiyan Zhao, Fan Yang, Himabindu Lakkaraju, Mengnan Du
Opening the Black Box of Large Language Models: Two Views on Holistic Interpretability. CoRR (2024)
Mingyu Jin, Qinkai Yu, Chong Zhang, Dong Shu, Suiyuan Zhu, Mengnan Du, Yongfeng Zhang, Yanda Meng
Health-LLM: Personalized Retrieval-Augmented Disease Prediction Model. CoRR (2024)
Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ninghao Liu, Mengnan Du
Quantifying Multilingual Performance of Large Language Models Across Languages. CoRR (2024)
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
When Search Engine Services meet Large Language Models: Visions and Challenges. CoRR (2024)
Haoyi Xiong, Xuhong Li, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective. CoRR (2024)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu
Large Language Models As Faithful Explainers. CoRR (2024)
Junyi Ye, Mengnan Du, Guiling Wang
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure. CoRR (2024)
Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments. CoRR (2024)
Mingyu Jin, Qinkai Yu, Dong shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du
The Impact of Reasoning Step Length on Large Language Models. CoRR (2024)
Yingji Li, Mengnan Du, Rui Song, Xin Wang, Mingchen Sun, Ying Wang
Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation. Artif. Intell. 332 (2024)
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR (2024)
Hanrong Zhang, Zhenting Wang, Tingxu Han, Mingyu Jin, Chenlu Zhan, Mengnan Du, Hongwei Wang, Shiqing Ma
Towards Imperceptible Backdoor Attack in Self-supervised Learning. CoRR (2024)
Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang
LawLLM: Law Large Language Model for the US Legal System. CoRR (2024)
Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models. ACL (Findings) (2024)
Ruixiang Tang, Mengnan Du, Xia Hu
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. ECML/PKDD (6) (2023)
Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu
Black-box Backdoor Defense via Zero-shot Image Purification. NeurIPS (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Guanchu Wang, Mengnan Du, Zou Na
DISPEL: Domain Generalization via Domain-Specific Liberating. CoRR (2023)
Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu
Black-box Backdoor Defense via Zero-shot Image Purification. CoRR (2023)
Zihan Guan, Mengnan Du, Ninghao Liu
XGBD: Explanation-Guided Graph Backdoor Detection. ECAI (2023)
Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Hu
Efficient XAI Techniques: A Taxonomic Survey. CoRR (2023)
Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding. EACL (2023)
Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. CIKM (2023)
Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu
FAIRER: Fairness as Decision Rationale Alignment. CoRR (2023)
Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
DEGREE: Decomposition Based Explanation For Graph Neural Networks. CoRR (2023)
Thinh On, Subhodeep Ghosh, Mengnan Du, Senjuti Basu Roy
Proportionate Diversification of Top-k LLM Results using Database Queries. VLDB Workshops (2023)
Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu
Error Detection on Knowledge Graphs with Triple Embedding. EUSIPCO (2023)
Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong
: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. NeurIPS (2023)
Yingji Li, Mengnan Du, Xin Wang, Ying Wang
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. CoRR (2023)
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR (2023)
Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu
FAIRER: Fairness as Decision Rationale Alignment. ICML (2023)
Zihan Guan, Mengnan Du, Ninghao Liu
XGBD: Explanation-Guided Graph Backdoor Detection. CoRR (2023)
Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu
Mitigating Algorithmic Bias with Limited Annotations. ECML/PKDD (2) (2023)
Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
Fairness via Group Contribution Matching. IJCAI (2023)
Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. CIKM (2023)
Hua Tang, Lu Cheng, Ninghao Liu, Mengnan Du
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier. CoRR (2023)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. CoRR (2023)
Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang
A Survey on Fairness in Large Language Models. CoRR (2023)
Yingji Li, Mengnan Du, Xin Wang, Ying Wang
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. ACL (1) (2023)
Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. CoRR (2023)
Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
Explainability for Large Language Models: A Survey. CoRR (2023)
Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du
Mitigating Shortcuts in Language Models with Soft Label Encoding. CoRR (2023)
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
Mitigating Relational Bias on Knowledge Graphs. CoRR (2022)
Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu
Towards Debiasing DNN Models from Spurious Feature Influence. AAAI (2022)
Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. CoRR (2022)
Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
Accelerating Shapley Explanation via Contributive Cooperator Selection. CoRR (2022)
Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
Subarchitecture Ensemble Pruning in Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
Accelerating Shapley Explanation via Contributive Cooperator Selection. ICML (2022)
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
Towards Learning Disentangled Representations for Time Series. KDD (2022)
Qizhang Feng, Mengnan Du, Na Zou, Xia Hu
Fair Machine Learning in Healthcare: A Review. CoRR (2022)
Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
DEGREE: Decomposition Based Explanation for Graph Neural Networks. ICLR (2022)
Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Hu
Mitigating Algorithmic Bias with Limited Annotations. CoRR (2022)
Weijie Fu, Meng Wang, Mengnan Du, Ninghao Liu, Shijie Hao, Xia Hu
Differentiated Explanation of Deep Neural Networks With Skewed Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu
Unveiling Project-Specific Bias in Neural Code Models. CoRR (2022)
Fangsheng Wu, Mengnan Du, Chao Fan, Ruixiang Tang, Yang Yang, Ali Mostafavi, Xia Hu
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models. IEEE Trans. Comput. Soc. Syst. 9 (2) (2022)
Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. ICWSM (2021)
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
Learning Disentangled Representations for Time Series. CoRR (2021)
Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu
Adversarial Attacks and Defenses: An Interpretation Perspective. SIGKDD Explor. 23 (1) (2021)
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. NAACL-HLT (2021)
Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
Mitigating Gender Bias in Captioning Systems. WWW (2021)
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. CoRR (2021)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
A Unified Taylor Framework for Revisiting Attribution Methods. AAAI (2021)
Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. CoRR (2021)
Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. SIGKDD Explor. 23 (1) (2021)
Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu
Fairness via Representation Neutralization. NeurIPS (2021)
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. KDD (2021)
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. CoRR (2021)
Xu Duan, Jingzheng Wu, Mengnan Du, Tianyue Luo, Mutian Yang, Yanjun Wu
MultiCode: A Unified Code Analysis Framework based on Multi-type and Multi-granularity Semantic Learning. ISSRE Workshops (2021)
Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu
Fairness via Representation Neutralization. CoRR (2021)
Mengnan Du, Fan Yang, Na Zou, Xia Hu
Fairness in Deep Learning: A Computational Perspective. IEEE Intell. Syst. 36 (4) (2021)
Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
Learning credible DNNs via incorporating prior knowledge and model local explanation. Knowl. Inf. Syst. 63 (2) (2021)
Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression. CoRR (2021)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
A General Taylor Framework for Unifying and Revisiting Attribution Methods. CoRR (2021)
Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu
Deep Neural Networks with Knowledge Instillation. SDM (2020)
Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
Machine Learning Explanations to Prevent Overtrust in Fake News Detection. CoRR (2020)
Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. CoRR (2020)
Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. CIKM (2020)
Ninghao Liu, Mengnan Du, Xia Hu
Adversarial Machine Learning: An Interpretation Perspective. CoRR (2020)
Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu
Mitigating Gender Bias in Captioning Systems. CoRR (2020)
Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. CVPR Workshops (2020)
Ruixiang Tang, Mengnan Du, Xia Hu
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. CoRR (2020)
Mengnan Du, Ninghao Liu, Xia Hu
Techniques for interpretable machine learning. Commun. ACM 63 (1) (2020)
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter. BMC Medical Informatics Decis. Mak. (4) (2020)
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
A Unified Taylor Framework for Revisiting Attribution Methods. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mengnan Du