Salient object detection via region contrast and graph regularization. - Xingming Wu; Mengnan Du; Weihai Chen; Jianhua Wang (Sci. China Inf. Sci., 2016)

Exploiting multiple contexts for saliency detection. - Mengnan Du; Xingming Wu; Weihai Chen; Jianhua Wang (J. Electronic Imaging, 2016)

Supervised training and contextually guided salient object detection. - Mengnan Du; Xingming Wu; Weihai Chen; Zhengguo Li (Digit. Signal Process., 2017)

Towards Explanation of DNN-based Prediction with Guided Feature Inversion. - Mengnan Du; Ninghao Liu; Qingquan Song; Xia Hu 001 (KDD, 2018)

Multivariate Multi-step Deep Learning Time Series Approach in Forecasting Parkinson's Disease Future Severity Progression. - Nur Hafieza Ismail; Mengnan Du; Diego Martinez; Zhe He 001 (BCB, 2019)

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. - Yuening Li; Xiao Huang 001; Jundong Li; Mengnan Du; Na Zou 001 (CIKM, 2019)

Learning Credible Deep Neural Networks with Rationale Regularization. - Mengnan Du; Ninghao Liu; Fan Yang 023; Xia Hu 001 (ICDM, 2019)

Deep Structured Cross-Modal Anomaly Detection. - Yuening Li; Ninghao Liu; Jundong Li; Mengnan Du; Xia Hu 001 (IJCNN, 2019)

Identification of Cancer Survivors Living with PTSD on Social Media. - Nur Hafieza Ismail; Ninghao Liu; Mengnan Du; Zhe He 001; Xia Hu 001 (MedInfo, 2019)

Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media. - Nur Hafieza Ismail; Ninghao Liu; Mengnan Du; Zhe He 001; Xia Hu 001 (SEPDA@ISWC, 2019)

Representation Interpretation with Spatial Encoding and Multimodal Analytics. - Ninghao Liu; Mengnan Du; Xia Hu 001 (WSDM, 2019)

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. - Mengnan Du; Ninghao Liu; Fan Yang 023; Shuiwang Ji; Xia Hu 001 (WWW, 2019)

XFake: Explainable Fake News Detector with Visualizations. - Fan Yang 023; Shiva K. Pentyala; Sina Mohseni; Mengnan Du; Hao Yuan 001; Rhema Linder; Eric D. Ragan; Shuiwang Ji; Xia (Ben) Hu (WWW, 2019)

Evaluating Explanation Without Ground Truth in Interpretable Machine Learning. - Fan Yang 023; Mengnan Du; Xia Hu 001 (CoRR, 2019)

Towards Generalizable Forgery Detection with Locality-aware AutoEncoder. - Mengnan Du; Shiva K. Pentyala; Yuening Li; Xia Hu 001 (CoRR, 2019)

Sub-Architecture Ensemble Pruning in Neural Architecture Search. - Yijun Bian; Qingquan Song; Mengnan Du; Jun Yao; Huanhuan Chen; Xia Hu 001 (CoRR, 2019)

Score-CAM: Improved Visual Explanations Via Score-Weighted Class Activation Mapping. - Haofan Wang; Mengnan Du; Fan Yang 023; Zijian Zhang (CoRR, 2019)

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. - Mengnan Du; Shiva K. Pentyala; Yuening Li; Xia Hu 001 (CIKM, 2020)

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. - Haofan Wang; Zifan Wang 001; Mengnan Du; Fan Yang 023; Zijian Zhang; Sirui Ding; Piotr Mardziel; Xia Hu 001 (CVPR Workshops, 2020)

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. - Ruixiang Tang; Mengnan Du; Ninghao Liu; Fan Yang 023; Xia Hu 001 (KDD, 2020)

Deep Neural Networks with Knowledge Instillation. - Fan Yang 023; Ninghao Liu; Mengnan Du; Kaixiong Zhou; Shuiwang Ji; Xia Hu 001 (SDM, 2020)

Techniques for interpretable machine learning. - Mengnan Du; Ninghao Liu; Xia Hu 001 (Commun. ACM, 2020)

Adversarial Machine Learning: An Interpretation Perspective. - Ninghao Liu; Mengnan Du; Xia Hu 001 (CoRR, 2020)

Mitigating Gender Bias in Captioning Systems. - Ruixiang Tang; Mengnan Du; Yuening Li; Zirui Liu 001; Xia Hu 001 (CoRR, 2020)

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. - Ruixiang Tang; Mengnan Du; Xia Hu 001 (CoRR, 2020)

A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter. - Nur Hafieza Ismail; Ninghao Liu; Mengnan Du; Zhe He 001; Xia Hu 001 (BMC Medical Informatics Decis. Mak., 2020)

A Unified Taylor Framework for Revisiting Attribution Methods. - Huiqi Deng; Na Zou 001; Mengnan Du; Weifu Chen; Guocan Feng; Xia Hu 001 (AAAI, 2021)

Machine Learning Explanations to Prevent Overtrust in Fake News Detection. - Sina Mohseni; Fan Yang 023; Shiva K. Pentyala; Mengnan Du; Yi Liu 059; Nic Lupfer; Xia Hu 001; Shuiwang Ji; Eric D. Ragan (ICWSM, 2021)

MultiCode: A Unified Code Analysis Framework based on Multi-type and Multi-granularity Semantic Learning. - Xu Duan; Jingzheng Wu; Mengnan Du; Tianyue Luo; Mutian Yang; Yanjun Wu (ISSRE Workshops, 2021)

Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. - Huiqi Deng; Na Zou 001; Weifu Chen; Guocan Feng; Mengnan Du; Xia Hu 001 (KDD, 2021)

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. - Mengnan Du; Varun Manjunatha; Rajiv Jain; Ruchi Deshpande; Franck Dernoncourt; Jiuxiang Gu; Tong Sun 005; Xia Hu 001 (NAACL-HLT, 2021)

Fairness via Representation Neutralization. - Mengnan Du; Subhabrata Mukherjee; Guanchu Wang; Ruixiang Tang; Ahmed Hassan Awadallah; Xia Ben Hu (NeurIPS, 2021)

Mitigating Gender Bias in Captioning Systems. - Ruixiang Tang; Mengnan Du; Yuening Li; Zirui Liu 001; Na Zou 001; Xia Hu 001 (WWW, 2021)

Learning Disentangled Representations for Time Series. - Yuening Li; Zhengzhang Chen; Daochen Zha; Mengnan Du; Denghui Zhang; Haifeng Chen; Xia Hu 001 (CoRR, 2021)

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression. - Mengnan Du; Subhabrata Mukherjee; Yu Cheng 001; Milad Shokouhi; Xia Hu 001; Ahmed Hassan Awadallah (CoRR, 2021)

Fairness in Deep Learning: A Computational Perspective. - Mengnan Du; Fan Yang 023; Na Zou 001; Xia Hu 001 (IEEE Intell. Syst., 2021)

Learning credible DNNs via incorporating prior knowledge and model local explanation. - Mengnan Du; Ninghao Liu; Fan Yang 023; Xia Hu 001 (Knowl. Inf. Syst., 2021)

Adversarial Attacks and Defenses: An Interpretation Perspective. - Ninghao Liu; Mengnan Du; Ruocheng Guo; Huan Liu 001; Xia Hu 001 (SIGKDD Explor., 2021)

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. - Fan Yang 023; Ninghao Liu; Mengnan Du; Xia Hu 001 (SIGKDD Explor., 2021)

Towards Debiasing DNN Models from Spurious Feature Influence. - Mengnan Du; Ruixiang Tang; Weijie Fu; Xia Hu 001 (AAAI, 2022)

DEGREE: Decomposition Based Explanation for Graph Neural Networks. - Qizhang Feng; Ninghao Liu; Fan Yang 023; Ruixiang Tang; Mengnan Du; Xia Hu 001 (ICLR, 2022)

Accelerating Shapley Explanation via Contributive Cooperator Selection. - Guanchu Wang; Yu-Neng Chuang; Mengnan Du; Fan Yang 023; Quan Zhou; Pushkar Tripathi; Xuanting Cai; Xia Ben Hu (ICML, 2022)

Towards Learning Disentangled Representations for Time Series. - Yuening Li; Zhengzhang Chen; Daochen Zha; Mengnan Du; Jingchao Ni; Denghui Zhang; Haifeng Chen; Xia Hu 001 (KDD, 2022)

Unveiling Project-Specific Bias in Neural Code Models. - Zhiming Li; Yanzhou Li; Tianlin Li; Mengnan Du; Bozhi Wu; Yushi Cao; Xiaofei Xie; Yi Li 008; Yang Liu 003 (CoRR, 2022)

Fair Machine Learning in Healthcare: A Review. - Qizhang Feng; Mengnan Du; Na Zou 001; Xia Hu 001 (CoRR, 2022)

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. - Mengnan Du; Fengxiang He; Na Zou 001; Dacheng Tao; Xia Hu 001 (CoRR, 2022)

Mitigating Relational Bias on Knowledge Graphs. - Yu-Neng Chuang; Kwei-Herng Lai; Ruixiang Tang; Mengnan Du; Chia-Yuan Chang 002; Na Zou 001; Xia Hu 001 (CoRR, 2022)

Differentiated Explanation of Deep Neural Networks With Skewed Distributions. - Weijie Fu; Meng Wang 001; Mengnan Du; Ninghao Liu; Shijie Hao; Xia Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Understanding Social Biases Behind Location Names in Contextual Word Embedding Models. - Fangsheng Wu; Mengnan Du; Chao Fan; Ruixiang Tang; Yang Yang 002; Ali Mostafavi; Xia Hu 001 (IEEE Trans. Comput. Soc. Syst., 2022)

Subarchitecture Ensemble Pruning in Neural Architecture Search. - Yijun Bian; Qingquan Song; Mengnan Du; Jun Yao; Huanhuan Chen; Xia Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. - Yingji Li; Mengnan Du; Xin Wang 035; Ying Wang 009 (ACL (1), 2023)

Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. - Zihan Guan 001; Lichao Sun 001; Mengnan Du; Ninghao Liu (CIKM, 2023)

Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. - Ruixiang Tang; Hongye Jin; Mengnan Du; Curtis Wigington; Rajiv Jain; Xia Hu 001 (CIKM, 2023)

Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding. - Mengnan Du; Subhabrata Mukherjee; Yu Cheng 001; Milad Shokouhi; Xia Hu 001; Ahmed Hassan Awadallah (EACL, 2023)

XGBD: Explanation-Guided Graph Backdoor Detection. - Zihan Guan 001; Mengnan Du; Ninghao Liu (ECAI, 2023)

Error Detection on Knowledge Graphs with Triple Embedding. - Yezi Liu; Qinggang Zhang; Mengnan Du; Xiao Huang 001; Xia Hu 001 (EUSIPCO, 2023)

FAIRER: Fairness as Decision Rationale Alignment. - Tianlin Li; Qing Guo 005; Aishan Liu; Mengnan Du; Zhiming Li; Yang Liu 003 (ICML, 2023)

Fairness via Group Contribution Matching. - Tianlin Li; Zhiming Li; Anran Li 001; Mengnan Du; Aishan Liu; Qing Guo 005; Guozhu Meng; Yang Liu 003 (IJCAI, 2023)

M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. - Xuhong Li 002; Mengnan Du; Jiamin Chen; Yekun Chai; Himabindu Lakkaraju; Haoyi Xiong (NeurIPS, 2023)

Black-box Backdoor Defense via Zero-shot Image Purification. - Yucheng Shi; Mengnan Du; Xuansheng Wu; Zihan Guan 001; Jin Sun 011; Ninghao Liu (NeurIPS, 2023)

Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. - Ruixiang Tang; Mengnan Du; Xia Hu 001 (ECML/PKDD (6), 2023)

Mitigating Algorithmic Bias with Limited Annotations. - Guanchu Wang; Mengnan Du; Ninghao Liu; Na Zou 001; Xia Ben Hu (ECML/PKDD (2), 2023)

Proportionate Diversification of Top-k LLM Results using Database Queries. - Thinh On; Subhodeep Ghosh; Mengnan Du; Senjuti Basu Roy (VLDB Workshops, 2023)

Efficient XAI Techniques: A Taxonomic Survey. - Yu-Neng Chuang; Guanchu Wang; Fan Yang 023; Zirui Liu 001; Xuanting Cai; Mengnan Du; Xia Ben Hu (CoRR, 2023)

Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. - Huiqi Deng; Na Zou 001; Mengnan Du; Weifu Chen; Guocan Feng; Ziwei Yang; Zheyang Li; Quanshi Zhang (CoRR, 2023)

Black-box Backdoor Defense via Zero-shot Image Purification. - Yucheng Shi; Mengnan Du; Xuansheng Wu; Zihan Guan 001; Ninghao Liu (CoRR, 2023)

DISPEL: Domain Generalization via Domain-Specific Liberating. - Chia-Yuan Chang 002; Yu-Neng Chuang; Guanchu Wang; Mengnan Du; Zou Na (CoRR, 2023)

A Survey on Fairness in Large Language Models. - Yingji Li; Mengnan Du; Rui Song 008; Xin Wang 035; Ying Wang 009 (CoRR, 2023)

A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier. - Hua Tang; Lu Cheng 001; Ninghao Liu; Mengnan Du (CoRR, 2023)

LETA: Learning Transferable Attribution for Generic Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (CoRR, 2023)

The Impact of Reasoning Step Length on Large Language Models. - Mingyu Jin; Qinkai Yu; Dong Shu; Haiyan Zhao 003; Wenyue Hua; Yanda Meng; Yongfeng Zhang; Mengnan Du (ACL (Findings), 2024)

Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models. - Yingji Li; Mengnan Du; Rui Song 008; Xin Wang 035; Ying Wang 009 (ACL (Findings), 2024)

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. - Dong Shu; Tianle Chen; Mingyu Jin; Chong Zhang 006; Mengnan Du; Yongfeng Zhang (ACML, 2024)

DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure. - Junyi Ye; Mengnan Du; Guiling Wang 001 (ACML, 2024)

ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. - Jingyu Hu 002; Jun Hong 001; Mengnan Du; Weiru Liu (AEQUITAS@ECAI, 2024)

Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model. - Yutao Du; Qin Li 020; Raghav Gnanasambandam; Mengnan Du; Haimin Wang; Bo Shen (IEEE Big Data, 2024)

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper]. - Bo Shen; Marco Marena; Chenyang Li; Qin Li 020; Haodi Jiang; Mengnan Du; Jiajun Xu; Haimin Wang (IEEE Big Data, 2024)

LawLLM: Law Large Language Model for the US Legal System. - Dong Shu; Haoran Zhao; Xukun Liu; David Demeter; Mengnan Du; Yongfeng Zhang (CIKM, 2024)

Mitigating Shortcuts in Language Models with Soft Label Encoding. - Zirui He; Huiqi Deng; Haiyan Zhao 003; Ninghao Liu; Mengnan Du (LREC/COLING, 2024)

Unveiling Project-Specific Bias in Neural Code Models. - Zhiming Li; Yanzhou Li; Tianlin Li; Mengnan Du; Bozhi Wu; Yushi Cao; Junzhe Jiang 002; Yang Liu 003 (LREC/COLING, 2024)

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning. - Jingyu Hu 002; Weiru Liu; Mengnan Du (EMNLP, 2024)

Enhancing Fairness in In-Context Learning: Prioritizing Minority Samples in Demonstrations. - Jingyu Hu; Mengnan Du (Tiny Papers @ ICLR, 2024)

Explaining Time Series via Contrastive and Locally Sparse Perturbations. - Zichuan Liu; Yingying Zhang; Tianchun Wang; Zefan Wang; Dongsheng Luo; Mengnan Du; Min Wu 008; Yi Wang 022; Chunlin Chen; Lunting Fan; Qingsong Wen (ICLR, 2024)

TVE: Learning Meta-attribution for Transferable Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (ICML, 2024)

Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models. - Ruixiang Tang; Yu-Neng Chuang; Xuanting Cai; Mengnan Du; Xia Hu 001 (NAACL-HLT (Findings), 2024)

AI Driven Online Advertising: Market Design, Generative AI, and Ethics. - Fengxiang He; Mengnan Du; Aris Filos-Ratsikas; Lu Cheng 001; Qingquan Song; Min Lin; John Vines (WWW (Companion Volume), 2024)

Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation. - Yingji Li; Mengnan Du; Rui Song 008; Xin Wang 035; Mingchen Sun; Ying Wang 009 (Artif. Intell., 2024)

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective. - Haoyi Xiong; Xuhong Li 002; Xiaofei Zhang; Jiamin Chen; Xinhao Sun; Yuchen Li 006; Zeyi Sun 001; Mengnan Du (CoRR, 2024)

Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training. - Jiamin Chen; Xuhong Li 002; Yanwu Xu 001; Mengnan Du; Haoyi Xiong (CoRR, 2024)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. - Mingyu Jin; Qinkai Yu; Dong Shu; Chong Zhang 006; Lizhou Fan; Wenyue Hua; Suiyuan Zhu; Yanda Meng; Zhenting Wang; Mengnan Du; Yongfeng Zhang; Yanda Meng (CoRR, 2024)

Large Language Models As Faithful Explainers. - Yu-Neng Chuang; Guanchu Wang; Chia-Yuan Chang 002; Ruixiang Tang; Fan Yang 023; Mengnan Du; Xuanting Cai; Xia Hu 001 (CoRR, 2024)

Opening the Black Box of Large Language Models: Two Views on Holistic Interpretability. - Haiyan Zhao 003; Fan Yang 023; Himabindu Lakkaraju; Mengnan Du (CoRR, 2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. - Mingyu Jin; Hua Tang; Chong Zhang 006; Qinkai Yu; Chengzhi Liu; Suiyuan Zhu; Yongfeng Zhang; Mengnan Du (CoRR, 2024)

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents. - Mingyu Jin; Beichen Wang; Zhaoqian Xue; Suiyuan Zhu; Wenyue Hua; Hua Tang; Kai Mei; Mengnan Du; Yongfeng Zhang (CoRR, 2024)

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. - Dong Shu; Tianle Chen; Mingyu Jin; Yiting Zhang; Chong Zhang 006; Mengnan Du; Yongfeng Zhang (CoRR, 2024)

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. - Xuansheng Wu; Haiyan Zhao 003; Yaochen Zhu; Yucheng Shi; Fan Yang 023; Tianming Liu 001; Xiaoming Zhai; Wenlin Yao; Jundong Li; Mengnan Du; Ninghao Liu (CoRR, 2024)

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? - Mingyu Jin; Qinkai Yu; Jingyuan Huang; Qingcheng Zeng; Zhenting Wang; Wenyue Hua; Haiyan Zhao 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (CoRR, 2024)

Quantifying Multilingual Performance of Large Language Models Across Languages. - Zihao Li; Yucheng Shi; Zirui Liu 001; Fan Yang 023; Ninghao Liu; Mengnan Du (CoRR, 2024)

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction. - Mingyu Jin; Haochen Xue; Zhenting Wang; Boming Kang; Ruosong Ye; Kaixiong Zhou; Mengnan Du; Yongfeng Zhang (CoRR, 2024)

Neural Operator for Accelerating Coronal Magnetic Field Model. - Yutao Du; Qin Li; Raghav Gnanasambandam; Mengnan Du; Haimin Wang; Bo Shen 001 (CoRR, 2024)

Towards Imperceptible Backdoor Attack in Self-supervised Learning. - Hanrong Zhang; Zhenting Wang; Tingxu Han; Mingyu Jin; Chenlu Zhan; Mengnan Du; Hongwei Wang 001; Shiqing Ma (CoRR, 2024)

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments. - Chong Zhang 006; Xinyi Liu; Mingyu Jin; Zhongmou Zhang; Lingyao Li; Zhenting Wang; Wenyue Hua; Dong Shu; Suiyuan Zhu; Xiaobo Jin; Sujian Li; Mengnan Du; et al. (CoRR, 2024)

Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges. - Bo Shen; Marco Marena; Chenyang Li; Qin Li 020; Haodi Jiang; Mengnan Du; Jiajun Xu; Haimin Wang (CoRR, 2024)

Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis. - Daoyang Li; Mingyu Jin; Qingcheng Zeng; Haiyan Zhao 003; Mengnan Du (CoRR, 2024)

DemoShapley: Valuation of Demonstrations for In-Context Learning. - Shan Xie; Man Luo; Chadly Daniel Stern; Mengnan Du; Lu Cheng 001 (CoRR, 2024)

Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context Learning. - Dong Shu; Mengnan Du (CoRR, 2024)

Exploring the Alignment Landscape: LLMs and Geometric Deep Models in Protein Representation. - Dong Shu; Bingbing Duan; Kai Guo 003; Kaixiong Zhou; Jiliang Tang; Mengnan Du (CoRR, 2024)

Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. - Huiqi Deng; Na Zou 001; Mengnan Du; Weifu Chen; Guocan Feng; Ziwei Yang; Zheyang Li; Quanshi Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

When Search Engine Services Meet Large Language Models: Visions and Challenges. - Haoyi Xiong; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Mengnan Du; Shuaiqiang Wang; Dawei Yin; Sumi Helal (IEEE Trans. Serv. Comput., 2024)

Shortcut Learning of Large Language Models in Natural Language Understanding. - Mengnan Du; Fengxiang He; Na Zou 001; Dacheng Tao; Xia Hu 001 (Commun. ACM, 2024)

Explainability for Large Language Models: A Survey. - Haiyan Zhao 003; Hanjie Chen; Fan Yang 023; Ninghao Liu; Huiqi Deng; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Mengnan Du (ACM Trans. Intell. Syst. Technol., 2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. - Hua Tang; Chong Zhang 006; Mingyu Jin; Qinkai Yu; Zhenting Wang; Xiaobo Jin; Yongfeng Zhang; Mengnan Du (SIGKDD Explor., 2024)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. - Zihao Li; Yucheng Shi; Zirui Liu 001; Fan Yang 023; Ali Payani; Ninghao Liu; Mengnan Du (AAAI, 2025)

Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract). - Dong Shu; Mengnan Du (AAAI, 2025)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? - Mingyu Jin; Qinkai Yu; Jingyuan Huang; Qingcheng Zeng; Zhenting Wang; Wenyue Hua; Haiyan Zhao 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (COLING, 2025)

Invisible Backdoor Attack against Self-supervised Learning. - Hanrong Zhang; Zhenting Wang; Boheng Li; Fulin Lin; Tingxu Han; Mingyu Jin; Chenlu Zhan; Mengnan Du; Hongwei Wang; Shiqing Ma (CVPR, 2025)

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution. - Haiyan Zhao 003; Heng Zhao; Bo Shen; Ali Payani; Fan Yang 023; Mengnan Du (ICLR, 2025)

From Commands to Prompts: LLM-based Semantic File System for AIOS. - Zeru Shi; Kai Mei; Mingyu Jin; Yongye Su; Chaoji Zuo; Wenyue Hua; Wujiang Xu; Yujie Ren; Zirui Liu 001; Mengnan Du; Dong Deng 001; Yongfeng Zhang (ICLR, 2025)

Data-centric NLP Backdoor Defense from the Lens of Memorization. - Zhenting Wang; Zhizhi Wang; Mingyu Jin; Mengnan Du; Juan Zhai; Shiqing Ma (NAACL (Findings), 2025)

BATED: Learning fair representation for Pre-trained Language Models via biased teacher-guided disentanglement. - Yingji Li; Mengnan Du; Rui Song 008; Mu Liu; Ying Wang 009 (Artif. Intell., 2025)

Aligning large language models and geometric deep models for protein representation. - Dong Shu; Bingbing Duan; Kai Guo 003; Kaixiong Zhou; Jiliang Tang; Mengnan Du (Patterns, 2025)

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability. - Dong Shu; Haiyan Zhao 003; Jingyu Hu 002; Weiru Liu; Lu Cheng; Mengnan Du (CoRR, 2025)

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. - Mingyu Jin; Kai Mei; Wujiang Xu; Mingjie Sun; Ruixiang Tang; Mengnan Du; Zirui Liu 001; Yongfeng Zhang (CoRR, 2025)

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models. - Zirui He; Haiyan Zhao 003; Yiran Qiao 001; Fan Yang 023; Ali Payani; Jing Ma 002; Mengnan Du (CoRR, 2025)

Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs. - Yu-Neng Chuang; Kwei-Herng Lai; Ruixiang Tang; Mengnan Du; Chia-Yuan Chang 002; Na Zou 001; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. - Zhihao Hu; Yiran Xu; Mengnan Du; Jindong Gu; Xinmei Tian 001; Fengxiang He (ACM Trans. Knowl. Discov. Data, 2025)

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models. - Dong Shu; Xuansheng Wu; Haiyan Zhao 003; Daking Rai; Ziyu Yao 002; Ninghao Liu; Mengnan Du (CoRR, 2025)

Fair Machine Learning in Healthcare: A Survey. - Qizhang Feng; Mengnan Du; Na Zou 001; Xia Ben Hu (IEEE Trans. Artif. Intell., 2025)

A Comprehensive Survey of Synthetic Tabular Data Generation. - Ruxue Shi; Yili Wang; Mengnan Du; Xu Shen; Xin Wang (CoRR, 2025)

Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders. - Dong Shu; Xuansheng Wu; Haiyan Zhao 003; Mengnan Du; Ninghao Liu (CoRR, 2025)

SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature Selection. - Huopu Zhang; Yanguang Liu; Mengnan Du (CoRR, 2025)

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering. - Haiyan Zhao 003; Xuansheng Wu; Fan Yang 023; Bo Shen; Ninghao Liu; Mengnan Du (CoRR, 2025)

Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models. - Zihao Li; Xu Wang; Yuzhe Yang; Ziyu Yao 002; Haoyi Xiong; Mengnan Du (CoRR, 2025)

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models. - Zirui He; Mingyu Jin; Bo Shen; Ali Payani; Yongfeng Zhang; Mengnan Du (CoRR, 2025)

Concept-Centric Token Interpretation for Vector-Quantized Generative Models. - Tianze Yang; Yucheng Shi; Mengnan Du; Xuansheng Wu; Qiaoyu Tan; Jin Sun 011; Ninghao Liu (CoRR, 2025)

Fine-Grained Interpretation of Political Opinions in Large Language Models. - Jingyu Hu 002; Mengyue Yang; Mengnan Du; Weiru Liu (CoRR, 2025)

Improving LLM Reasoning through Interpretable Role-Playing Steering. - Anyi Wang; Dong Shu; Yifan Wang; Yunpu Ma; Mengnan Du (CoRR, 2025)

DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. - Zihao Li; Ruixiang Tang; Lu Cheng 001; Shuaiqiang Wang; Dawei Yin; Mengnan Du (SIGKDD Explor., 2025)

Counterfactual Visual Explanation via Causally-Guided Adversarial Steering. - Yiran Qiao 001; Disheng Liu; Yiren Lu 002; Yu Yin 001; Mengnan Du; Jing Ma 002 (CoRR, 2025)

FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models. - Dong Shu; Haoyang Yuan; Yuchen Wang; Yanguang Liu; Huopu Zhang; Haiyan Zhao; Mengnan Du (CoRR, 2025)

DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. - Minghao Guo; Qingcheng Zeng; Xujiang Zhao; Yanchi Liu; Wenchao Yu; Mengnan Du; Haifeng Chen; Wei Cheng 002 (CoRR, 2025)

ContractEval: Benchmarking LLMs for Clause-Level Legal Risk Identification in Commercial Contracts. - Shuang Liu; Zelong Li; Ruoyun Ma; Haiyan Zhao; Mengnan Du (CoRR, 2025)

Attribution Explanations for Deep Neural Networks: A Theoretical Perspective. - Huiqi Deng; Hongbin Pei; Quanshi Zhang; Mengnan Du (CoRR, 2025)