Mengdi Huai

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 56

Top Topics

Diffusion Models

Top Venues

Publications

Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. CoRR (2024)
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD (2024)
Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM (2024)
Wei Qian, Aobo Chen, Chenxu Zhao, Yangyi Li, Mengdi Huai
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten. CoRR (2024)
Mengdi Huai
Fostering Trustworthiness in Machine Learning Algorithms. AAAI (2024)
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. CoRR (2024)
Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. AAAI (2024)
Guangtao Zheng, Mengdi Huai, Aidong Zhang
AdvST: Revisiting Data Augmentations for Single Domain Generalization. AAAI (2024)
Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract). AAAI (2024)
Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao
Backdoor Attacks via Machine Unlearning. AAAI (2024)
Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. CoRR (2024)
Cheng-Long Wang, Mengdi Huai, Di Wang
Inductive Graph Unlearning. CoRR (2023)
Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai
Static and Sequential Malicious Attacks in the Context of Selective Forgetting. NeurIPS (2023)
Cheng-Long Wang, Mengdi Huai, Di Wang
Inductive Graph Unlearning. USENIX Security Symposium (2023)
Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR (2023)
Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Wei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai
Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks. KDD (2023)
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
SEAT: Stable and Explainable Attention. AAAI (2023)
Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
White-box Membership Inference Attacks against Diffusion Models. CoRR (2023)
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
Improving Faithfulness for Vision Transformers. CoRR (2023)
Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW (2023)
Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
Understanding and Enhancing Robustness of Concept-Based Models. AAAI (2023)
Guangtao Zheng, Mengdi Huai, Aidong Zhang
AdvST: Revisiting Data Augmentations for Single Domain Generalization. CoRR (2023)
Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
Automated Natural Language Explanation of Deep Visual Neurons with Large Models. CoRR (2023)
Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang
Learning to Learn Task Transformations for Improved Few-Shot Classification. SDM (2023)
Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. KDD (2022)
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
SEAT: Stable and Explainable Attention. CoRR (2022)
Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai
Brain Effective Connectivity Learning with Deep Reinforcement Learning. BIBM (2022)
Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
Understanding and Enhancing Robustness of Concept-based Models. CoRR (2022)
Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang
Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI (2022)
Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang
On the Robustness of Metric Learning: An Adversarial Perspective. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai
Patient Similarity Learning with Selective Forgetting. BIBM (2022)
Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM (2021)
Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang
Differentially Private Pairwise Learning Revisited. IJCAI (2021)
Yi Zhu, Chenglin Miao, Foad Hajiaghajani, Mengdi Huai, Lu Su, Chunming Qiao
Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving. SenSys (2021)
Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
Learning Distance Metrics from Probabilistic Information. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang
Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. BIBM (2020)
Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang
Global Interpretation for Patient Similarity Learning. BIBM (2020)
Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang
Towards Interpretation of Pairwise Learning. AAAI (2020)
Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
Pairwise Learning with Differential Privacy Guarantees. AAAI (2020)
Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI (2020)
Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang
Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD (2020)
Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang
DTEC: Distance Transformation Based Early Time Series Classification. SDM (2019)
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM (2019)
Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. IJCAI (2019)
Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang
Privacy-aware Synthesizing for Crowdsourced Data. IJCAI (2019)
Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao
Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing. WWW (2018)
Di Wang, Mengdi Huai, Jinhui Xu
Differentially Private Sparse Inverse Covariance Estimation. GlobalSIP (2018)
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM (2018)
Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, Lu Su
Towards Data Poisoning Attacks in Crowd Sensing Systems. MobiHoc (2018)
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS (2018)
Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
Metric Learning from Probabilistic Labels. KDD (2018)
Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang
Uncorrelated Patient Similarity Learning. SDM (2018)
Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao
Personalized disease prediction using a CNN-based similarity learning method. BIBM (2017)
Mengdi Huai, Liusheng Huang, Yu-e Sun, Wei Yang
Efficient Privacy-Preserving Aggregation for Mobile Crowdsensing. BDCloud (2015)
Mengdi Huai, Liusheng Huang, Wei Yang, Lu Li, Mingyu Qi
Privacy-Preserving Naive Bayes Classification. KSEM (2015)
Jun Wang, Shangfei Wang, Mengdi Huai, Chongliang Wu, Zhen Gao, Yue Liu, Qiang Ji
Capture expression-dependent AU relations for expression recognition. ICME Workshops (2014)