Mengdi Huai - RankMe

75 papers A* 32A 6B 1C 1Misc 1Journal 24Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models. AAAI Wei Qian, Chenxu Zhao, Yangyi Li, Mengdi Huai
2026	J	`jnl`	Uncertainty-aware Language Guidance for Concept Bottleneck Models. CoRR Yangyi Li, Mengdi Huai
2025	J	`jnl`	A review on knowledge graphs for healthcare: Resources, applications, and promises. J. Biomed. Informatics Hejie Cui, Jiaying Lu, Ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, Zhaohui S. Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang
2025	J	`jnl`	A survey of security and privacy issues of machine unlearning. AI Mag. Aobo Chen, Yangyi Li, Chenxu Zhao, Mengdi Huai
2025	J	`jnl`	Membership Inference Attacks with False Discovery Rate Control. CoRR Chenxu Zhao, Wei Qian, Aobo Chen, Mengdi Huai
2025	A*	`conf`	Neuron Explanations for Conformal Prediction (Student Abstract). AAAI Divya Lidder, Kathryn Morse, Bridget Sullivan, Wei Qian, Chenglin Miao, Mengdi Huai
2025	—	`conf`	Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering. EMNLP (Findings) Yangyi Li, Mengdi Huai
2025	J	`jnl`	Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering. CoRR Yangyi Li, Mengdi Huai
2025	J	`jnl`	Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models. CoRR Wei Qian, Chenxu Zhao, Yangyi Li, Mengdi Huai
2025	J	`jnl`	Towards Stable and Explainable Attention Mechanisms. IEEE Trans. Knowl. Data Eng. Lijie Hu, Xinhai Wang, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2025	A	`conf`	Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten. CIKM Wei Qian, Chenxu Zhao, Yangyi Li, Wenqian Ye, Mengdi Huai
2025	J	`jnl`	Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten. CoRR Wei Qian, Chenxu Zhao, Yangyi Li, Wenqian Ye, Mengdi Huai
2025	J	`jnl`	White-box Membership Inference Attacks against Diffusion Models. Proc. Priv. Enhancing Technol. Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
2024	A*	`conf`	AdvST: Revisiting Data Augmentations for Single Domain Generalization. AAAI Guangtao Zheng, Mengdi Huai, Aidong Zhang
2024	A*	`conf`	Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract). AAAI Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
2024	A*	`conf`	Backdoor Attacks via Machine Unlearning. AAAI Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao
2024	A*	`conf`	Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. ICML Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024	J	`jnl`	Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. CoRR Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024	A*	`conf`	Data Poisoning Attacks against Conformal Prediction. ICML Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai
2024	J	`jnl`	Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten. CoRR Wei Qian, Aobo Chen, Chenxu Zhao, Yangyi Li, Mengdi Huai
2024	A*	`conf`	Fostering Trustworthiness in Machine Learning Algorithms. AAAI Mengdi Huai
2024	A*	`conf`	Improving Interpretation Faithfulness for Vision Transformers. ICML Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2024	A	`conf`	MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2024	—	`conf`	Modeling and Understanding Uncertainty in Medical Image Classification. MICCAI (10) Aobo Chen, Yangyi Li, Wei Qian, Kathy Morse, Chenglin Miao, Mengdi Huai
2024	A*	`conf`	Rethinking Adversarial Robustness in the Context of the Right to be Forgotten. ICML Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai
2024	A*	`conf`	Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024	J	`jnl`	Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. CoRR Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024	A*	`conf`	Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. AAAI Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
2024	J	`jnl`	Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. CoRR Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
2023	J	`jnl`	AdvST: Revisiting Data Augmentations for Single Domain Generalization. CoRR Guangtao Zheng, Mengdi Huai, Aidong Zhang
2023	J	`jnl`	Automated Natural Language Explanation of Deep Visual Neurons with Large Models. CoRR Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
2023	J	`jnl`	Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
2023	J	`jnl`	Improving Faithfulness for Vision Transformers. CoRR Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023	A*	`conf`	Inductive Graph Unlearning. USENIX Security Symposium Cheng-Long Wang, Mengdi Huai, Di Wang
2023	J	`jnl`	Inductive Graph Unlearning. CoRR Cheng-Long Wang, Mengdi Huai, Di Wang
2023	A	`conf`	Learning to Learn Task Transformations for Improved Few-Shot Classification. SDM Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang
2023	J	`jnl`	MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2023	A*	`conf`	Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
2023	A*	`conf`	SEAT: Stable and Explainable Attention. AAAI Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023	A*	`conf`	Static and Sequential Malicious Attacks in the Context of Selective Forgetting. NeurIPS Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai
2023	A*	`conf`	Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks. KDD Wei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai
2023	A*	`conf`	Understanding and Enhancing Robustness of Concept-Based Models. AAAI Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
2023	J	`jnl`	White-box Membership Inference Attacks against Diffusion Models. CoRR Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
2022	—	`conf`	Brain Effective Connectivity Learning with Deep Reinforcement Learning. BIBM Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai
2022	A*	`conf`	Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. KDD Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang
2022	J	`jnl`	On the Robustness of Metric Learning: An Adversarial Perspective. ACM Trans. Knowl. Discov. Data Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang
2022	—	`conf`	Patient Similarity Learning with Selective Forgetting. BIBM Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai
2022	J	`jnl`	SEAT: Stable and Explainable Attention. CoRR Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2022	A*	`conf`	Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang
2022	J	`jnl`	Understanding and Enhancing Robustness of Concept-based Models. CoRR Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
2021	Misc	`conf`	Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving. SenSys Yi Zhu, Chenglin Miao, Foad Hajiaghajani, Mengdi Huai, Lu Su, Chunming Qiao
2021	A*	`conf`	Differentially Private Pairwise Learning Revisited. IJCAI Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang
2021	A	`conf`	SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang
2020	—	`conf`	Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. BIBM Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang
2020	A*	`conf`	EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang
2020	—	`conf`	Global Interpretation for Patient Similarity Learning. BIBM Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang
2020	J	`jnl`	Learning Distance Metrics from Probabilistic Information. ACM Trans. Knowl. Discov. Data Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
2020	A*	`conf`	Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang
2020	A*	`conf`	Pairwise Learning with Differential Privacy Guarantees. AAAI Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
2020	A*	`conf`	Towards Interpretation of Pairwise Learning. AAAI Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang
2019	A*	`conf`	ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2019	A	`conf`	DTEC: Distance Transformation Based Early Time Series Classification. SDM Liuyi Yao, Yaliang Li, YeZheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang
2019	A*	`conf`	Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. IJCAI Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang
2019	A*	`conf`	Privacy-aware Synthesizing for Crowdsourced Data. IJCAI Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
2018	A*	`conf`	Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing. WWW Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao
2018	—	`conf`	Differentially Private Sparse Inverse Covariance Estimation. GlobalSIP Di Wang, Mengdi Huai, Jinhui Xu
2018	A*	`conf`	Metric Learning from Probabilistic Labels. KDD Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
2018	A*	`conf`	Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang
2018	A*	`conf`	Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2018	B	`conf`	Towards Data Poisoning Attacks in Crowd Sensing Systems. MobiHoc Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, Lu Su
2018	A	`conf`	Uncorrelated Patient Similarity Learning. SDM Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang
2017	—	`conf`	Personalized disease prediction using a CNN-based similarity learning method. BIBM Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao
2015	—	`conf`	Efficient Privacy-Preserving Aggregation for Mobile Crowdsensing. BDCloud Mengdi Huai, Liusheng Huang, Yu-e Sun, Wei Yang
2015	C	`conf`	Privacy-Preserving Naive Bayes Classification. KSEM Mengdi Huai, Liusheng Huang, Wei Yang, Lu Li, Mingyu Qi
2014	—	`conf`	Capture expression-dependent AU relations for expression recognition. ICME Workshops Jun Wang, Shangfei Wang, Mengdi Huai, Chongliang Wu, Zhen Gao, Yue Liu, Qiang Ji