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Mengdi Huai

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

46

Venues

16

Active years

2015–2026

Best venue rank

A*

Where they publish

Papers

46 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAITowards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models.Wei Qian, Chenxu Zhao, Yangyi Li, Mengdi Huai
2026ACLQuantifying and Understanding Uncertainty in Large Reasoning Models.Yangyi Li, Chenxu Zhao, Mengdi Huai
2026PAKDDTowards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning.Aobo Chen, Chenxu Zhao, Chenglin Miao, Mengdi Huai
2026PAKDDSelective Forgetting for Large Reasoning Models.Tuan Le, Wei Qian, Mengdi Huai
2026PAKDDUncertainty-Aware Language Guidance for Concept Bottleneck Models.Yangyi Li, Mengdi Huai
2026PAKDDRethinking Unlearnable Examples in Machine Unlearning.Chenxu Zhao, Wei Qian, Chenglin Miao, Mengdi Huai
2025AAAINeuron Explanations for Conformal Prediction (Student Abstract).Divya Lidder, Kathryn Morse, Bridget Sullivan, Wei Qian, Chenglin Miao, Mengdi Huai
2025CIKMTowards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten.Wei Qian, Chenxu Zhao, Yangyi Li, Wenqian Ye, Mengdi Huai
2025EMNLPQuantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering.Yangyi Li, Mengdi Huai
2025ICCVMembership Inference Attacks With False Discovery Rate Control.Chenxu Zhao, Wei Qian, Aobo Chen, Mengdi Huai
2024AAAIFostering Trustworthiness in Machine Learning Algorithms.Mengdi Huai
2024AAAIBackdoor Attacks via Machine Unlearning.Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao
2024AAAITowards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction.Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
2024AAAIAutomated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract).Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
2024AAAIAdvST: Revisiting Data Augmentations for Single Domain Generalization.Guangtao Zheng, Mengdi Huai, Aidong Zhang
2024ICMLBridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning.Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024ICMLImproving Interpretation Faithfulness for Vision Transformers.Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2024ICMLData Poisoning Attacks against Conformal Prediction.Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai
2024ICMLRethinking Adversarial Robustness in the Context of the Right to be Forgotten.Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai
2024KDDSynthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024MICCAIModeling and Understanding Uncertainty in Medical Image Classification.Aobo Chen, Yangyi Li, Wei Qian, Kathy Morse, Chenglin Miao, Mengdi Huai
2024SDMMedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2023AAAISEAT: Stable and Explainable Attention.Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023AAAIUnderstanding and Enhancing Robustness of Concept-Based Models.Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
2023KDDTowards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks.Wei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai
2023WWWPath-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
2023SDMLearning to Learn Task Transformations for Improved Few-Shot Classification.Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang
2022AAAITowards Automating Model Explanations with Certified Robustness Guarantees.Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang
2022KDDDemystify Hyperparameters for Stochastic Optimization with Transferable Representations.Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang
2021CIKMSCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang
2021IJCAIDifferentially Private Pairwise Learning Revisited.Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang
2021SENSYSAdversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving.Yi Zhu, Chenglin Miao, Foad Hajiaghajani, Mengdi Huai, Lu Su, Chunming Qiao
2020AAAIPairwise Learning with Differential Privacy Guarantees.Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
2020AAAITowards Interpretation of Pairwise Learning.Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang
2020AAAIEC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks.Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang
2020KDDMalicious Attacks against Deep Reinforcement Learning Interpretations.Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang
2019ICDMACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2019IJCAIPrivacy-aware Synthesizing for Crowdsourced Data.Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
2019IJCAIDeep Metric Learning: The Generalization Analysis and an Adaptive Algorithm.Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang
2019SDMDTEC: Distance Transformation Based Early Time Series Classification.Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang
2018ICDMMulti-task Sparse Metric Learning for Monitoring Patient Similarity Progression.Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang
2018KDDMetric Learning from Probabilistic Labels.Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
2018MOBIHOCTowards Data Poisoning Attacks in Crowd Sensing Systems.Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, Lu Su
2018WWWAttack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing.Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao
2018SDMUncorrelated Patient Similarity Learning.Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang
2015KSEMPrivacy-Preserving Naive Bayes Classification.Mengdi Huai, Liusheng Huang, Wei Yang, Lu Li, Mingyu Qi