Mengdi Huai

According to our database, Mengdi Huai authored at least 54 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten.

Wei Qian, Aobo Chen, Chenxu Zhao, Yangyi Li, Mengdi Huai

CoRR, 2024

MedDiffusion: 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

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Modeling and Understanding Uncertainty in Medical Image Classification.

Aobo Chen, Yangyi Li, Wei Qian, Kathy Morse, Chenglin Miao, Mengdi Huai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.

Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking Adversarial Robustness in the Context of the Right to be Forgotten.

Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data Poisoning Attacks against Conformal Prediction.

Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Interpretation Faithfulness for Vision Transformers.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning.

Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AdvST: Revisiting Data Augmentations for Single Domain Generalization.

Guangtao Zheng, Mengdi Huai, Aidong Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract).

Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction.

Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Backdoor Attacks via Machine Unlearning.

Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Fostering Trustworthiness in Machine Learning Algorithms.

Mengdi Huai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Concept-Level Model Interpretation From the Causal Aspect.

Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao

IEEE Trans. Knowl. Data Eng., September, 2023

Improving Faithfulness for Vision Transformers.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

CoRR, 2023

Automated Natural Language Explanation of Deep Visual Neurons with Large Models.

Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

CoRR, 2023

White-box Membership Inference Attacks against Diffusion Models.

Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang

CoRR, 2023

Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.

Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao

Proceedings of the ACM Web Conference 2023, 2023

Inductive Graph Unlearning.

Cheng-Long Wang, Mengdi Huai, Di Wang

Proceedings of the 32nd USENIX Security Symposium, 2023

Learning to Learn Task Transformations for Improved Few-Shot Classification.

Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Static and Sequential Malicious Attacks in the Context of Selective Forgetting.

Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks.

Wei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Understanding and Enhancing Robustness of Concept-Based Models.

Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SEAT: Stable and Explainable Attention.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the Robustness of Metric Learning: An Adversarial Perspective.

Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2022

Demystify Hyperparameters for Stochastic Optimization with Transferable Representations.

Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Patient Similarity Learning with Selective Forgetting.

Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Brain Effective Connectivity Learning with Deep Reinforcement Learning.

Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Towards Automating Model Explanations with Certified Robustness Guarantees.

Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving.

Yi Zhu, Chenglin Miao, Foad Hajiaghajani, Mengdi Huai, Lu Su, Chunming Qiao

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Differentially Private Pairwise Learning Revisited.

Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.

Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Learning Distance Metrics from Probabilistic Information.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2020

Malicious Attacks against Deep Reinforcement Learning Interpretations.

Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Global Interpretation for Patient Similarity Learning.

Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets.

Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks.

Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards Interpretation of Pairwise Learning.

Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Pairwise Learning with Differential Privacy Guarantees.

Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DTEC: Distance Transformation Based Early Time Series Classification.

Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm.

Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Privacy-aware Synthesizing for Crowdsourced Data.

Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing.

Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Uncorrelated Patient Similarity Learning.

Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Representation Learning for Treatment Effect Estimation from Observational Data.

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Data Poisoning Attacks in Crowd Sensing Systems.

Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, Lu Su

Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

Metric Learning from Probabilistic Labels.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression.

Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

Differentially Private Sparse Inverse Covariance Estimation.

Di Wang, Mengdi Huai, Jinhui Xu

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Personalized disease prediction using a CNN-based similarity learning method.

Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2015

Privacy-Preserving Naive Bayes Classification.

Mengdi Huai, Liusheng Huang, Wei Yang, Lu Li, Mingyu Qi

Proceedings of the Knowledge Science, Engineering and Management, 2015

Efficient Privacy-Preserving Aggregation for Mobile Crowdsensing.

Mengdi Huai, Liusheng Huang, Yu-e Sun, Wei Yang

Proceedings of the Fifth IEEE International Conference on Big Data and Cloud Computing, 2015

2014

Capture expression-dependent AU relations for expression recognition.

Jun Wang, Shangfei Wang, Mengdi Huai, Chongliang Wu, Zhen Gao, Yue Liu, Qiang Ji

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014