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Mengnan Du

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

71

Venues

22

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

71 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIFine-Grained Interpretation of Political Opinions in Large Language Models.Jingyu Hu, Mengyue Yang, Mengnan Du, Weiru Liu
2026AAAIKnowThyself: An Agentic Assistant for LLM Interpretability.Suraj Prasai, Mengnan Du, Ying Zhang, Fan Yang
2026ACLLLM Agents in Law: Taxonomy, Applications, and Challenges.Shuang Liu, Ruijia Zhang, Ruoyun Ma, Yujia Deng, Lanyi Zhu, Jiayu Li, Zelong Li, Zhibin Shen, Mengnan Du
2026ACLAdaJudge: Adaptive Multi-Perspective Judging for Reward Modeling.Yongliang Miao, Yangyang Liang, Mengnan Du
2026ACLFinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise Prediction.Dong Shu, Yanguang Liu, Huopu Zhang, Mengnan Du
2026ACLFinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models.Dong Shu, Haoyang Yuan, Yuchen Wang, Yanguang Liu, Huopu Zhang, Mengnan Du
2026ACLAdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations.Yifei Yao, Hanrong Zhang, Mengnan Du
2026ACLSAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature Selection.Huopu Zhang, Yanguang Liu, Miao Zhang, Zirui He, Mengnan Du
2026EACLFaithLM: Towards Faithful Explanations for Large Language Models.Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu
2026EACLDeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2026EACLSAGE: An Agentic Explainer Framework for Interpreting SAE Features in Language Models.Jiaojiao Han, Wujiang Xu, Mingyu Jin, Mengnan Du
2026EACLDenoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering.Haiyan Zhao, Xuansheng Wu, Fan Yang, Bo Shen, Ninghao Liu, Mengnan Du
2025AAAILanguage Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages.Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du
2025AAAIComparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract).Dong Shu, Mengnan Du
2025COLINGExploring 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, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
2025CVPRInvisible 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
2025EMNLPSAE-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
2025EMNLPFeature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models.Zihao Li, Xu Wang, Yuzhe Yang, Ziyu Yao, Haoyi Xiong, Mengnan Du
2025EMNLPBeyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders.Dong Shu, Xuansheng Wu, Haiyan Zhao, Mengnan Du, Ninghao Liu
2025EMNLPA Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models.Dong Shu, Xuansheng Wu, Haiyan Zhao, Daking Rai, Ziyu Yao, Ninghao Liu, Mengnan Du
2025EMNLPLarge Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Ali Payani, Lu Cheng, Mengnan Du
2025EMNLPImproving LLM Reasoning through Interpretable Role-Playing Steering.Anyi Wang, Dong Shu, Yifan Wang, Yunpu Ma, Mengnan Du
2025ICDMPhysics-Informed Attention-Enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations.Jinghao Cao, Qi Li, Mengnan Du, Haimin Wang, Bo Shen
2025ICDMNPC-TAG: Node Prompts for Classification on Text Attributed Graphs with LLMs.Uras Varolgunes, Mengnan Du, Dantong Yu
2025ICLRBeyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution.Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du
2025ICLRFrom 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, Mengnan Du, Dong Deng, Yongfeng Zhang
2025ICMLMassive 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, Yongfeng Zhang
2025ICMLConcept-Centric Token Interpretation for Vector-Quantized Generative Models.Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu
2025NAACLData-centric NLP Backdoor Defense from the Lens of Memorization.Zhenting Wang, Zhizhi Wang, Mingyu Jin, Mengnan Du, Juan Zhai, Shiqing Ma
2024ACLThe Impact of Reasoning Step Length on Large Language Models.Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du
2024ACLData-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models.Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang
2024ACMLKnowledge Graph Large Language Model (KG-LLM) for Link Prediction.Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang
2024ACMLDataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure.Junyi Ye, Mengnan Du, Guiling Wang
2024CIKMLawLLM: Law Large Language Model for the US Legal System.Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang
2024COLINGMitigating Shortcuts in Language Models with Soft Label Encoding.Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du
2024COLINGUnveiling Project-Specific Bias in Neural Code Models.Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu
2024EMNLPStrategic Demonstration Selection for Improved Fairness in LLM In-Context Learning.Jingyu Hu, Weiru Liu, Mengnan Du
2024ICLREnhancing Fairness in In-Context Learning: Prioritizing Minority Samples in Demonstrations.Jingyu Hu, Mengnan Du
2024ICLRExplaining Time Series via Contrastive and Locally Sparse Perturbations.Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024ICMLTVE: Learning Meta-attribution for Transferable Vision Explainer.Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2024NAACLSecure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models.Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, Xia Hu
2024WWWAI Driven Online Advertising: Market Design, Generative AI, and Ethics.Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines
2023ACLPrompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases.Yingji Li, Mengnan Du, Xin Wang, Ying Wang
2023CIKMAttacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu
2023CIKMExposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks.Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu
2023EACLRobustness Challenges in Model Distillation and Pruning for Natural Language Understanding.Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah
2023ECAIXGBD: Explanation-Guided Graph Backdoor Detection.Zihan Guan, Mengnan Du, Ninghao Liu
2023ICMLFAIRER: Fairness as Decision Rationale Alignment.Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu
2023IJCAIFairness via Group Contribution Matching.Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
2023VLDBProportionate Diversification of Top-k LLM Results using Database Queries.Thinh On, Subhodeep Ghosh, Mengnan Du, Senjuti Basu Roy
2022AAAITowards Debiasing DNN Models from Spurious Feature Influence.Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu
2022ICLRDEGREE: Decomposition Based Explanation for Graph Neural Networks.Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2022ICMLAccelerating Shapley Explanation via Contributive Cooperator Selection.Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Ben Hu
2022KDDTowards Learning Disentangled Representations for Time Series.Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2021AAAIA Unified Taylor Framework for Revisiting Attribution Methods.Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
2021ICWSMMachine Learning Explanations to Prevent Overtrust in Fake News Detection.Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2021ISSREMultiCode: 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
2021KDDMutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution.Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
2021NAACLTowards Interpreting and Mitigating Shortcut Learning Behavior of NLU models.Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu
2021WWWMitigating Gender Bias in Captioning Systems.Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
2020CIKMTowards Generalizable Deepfake Detection with Locality-aware AutoEncoder.Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu
2020CVPRScore-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks.Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu
2020KDDAn Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020SDMDeep Neural Networks with Knowledge Instillation.Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu
2019CIKMSpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2019ICDMLearning Credible Deep Neural Networks with Rationale Regularization.Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2019IJCNNDeep Structured Cross-Modal Anomaly Detection.Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019WWWOn Attribution of Recurrent Neural Network Predictions via Additive Decomposition.Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu
2019WWWXFake: Explainable Fake News Detector with Visualizations.Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu
2019WSDMRepresentation Interpretation with Spatial Encoding and Multimodal Analytics.Ninghao Liu, Mengnan Du, Xia Hu
2018KDDTowards Explanation of DNN-based Prediction with Guided Feature Inversion.Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu