Mengdi Huai

发表

Learning Distance Metrics from Probabilistic Information

Chenglin Miao, Mengdi Huai, Yaliang Li, 2020, ACM Trans. Knowl. Discov. Data.

Privacy-Preserving Naive Bayes Classification

Lu Li, Mengdi Huai, Liusheng Huang, 2015, KSEM.

Personalized disease prediction using a CNN-based similarity learning method

Fenglong Ma, Jing Gao, Aidong Zhang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Towards Data Poisoning Attacks in Crowd Sensing Systems

Chenglin Miao, Qi Li, Mengdi Huai, 2018, MobiHoc.

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

Aidong Zhang, Mengdi Huai, Yaliang Li, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

DIFFERENTIALLY PRIVATE SPARSE INVERSE COVARIANCE ESTIMATION

Mengdi Huai, Di Wang, Jinhui Xu, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Global Interpretation for Patient Similarity Learning

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Fenglong Ma, Aidong Zhang, Mengdi Huai, 2018, IEEE Transactions on NanoBioscience.

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

Mengdi Huai, Aidong Zhang, Chongzhi Zang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm

Chenglin Miao, Lu Su, Mengdi Huai, 2019, IJCAI.

Towards Interpretation of Pairwise Learning

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2020, AAAI.

Chenglin Miao, Jing Gao, Aidong Zhang, 2018, SDM.

Privacy-aware Synthesizing for Crowdsourced Data

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2019, IJCAI.

Metric Learning from Probabilistic Labels

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2018, KDD.

Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression

Fenglong Ma, Aidong Zhang, Mengdi Huai, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

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

Chenglin Miao, Qi Li, Mengdi Huai, 2018, WWW.

Representation Learning for Treatment Effect Estimation from Observational Data

Aidong Zhang, Mengdi Huai, Yaliang Li, 2018, NeurIPS.

Efficient Privacy-Preserving Aggregation for Mobile Crowdsensing

Mengdi Huai, Liusheng Huang, Wei Yang, 2015, 2015 IEEE Fifth International Conference on Big Data and Cloud Computing.

Malicious Attacks against Deep Reinforcement Learning Interpretations

Mengdi Huai, Aidong Zhang, Jianhui Sun, 2020, KDD.

Pairwise Learning with Differential Privacy Guarantees

Chenglin Miao, Aidong Zhang, Mengdi Huai, 2020, AAAI.

Capture expression-dependent AU relations for expression recognition

Jun Wang, Qiang Ji, Yue Liu, 2014, 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

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

Aidong Zhang, Mengdi Huai, Guangxu Xun, 2020, AAAI.

DTEC: Distance Transformation Based Early Time Series Classification

Aidong Zhang, Mengdi Huai, Yaliang Li, 2019, SDM.

Differentially Private Pairwise Learning Revisited

Mengdi Huai, Zhiyu Xue, Shaoyang Yang, 2021, IJCAI.

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

Mengdi Huai, Aidong Zhang, Sheng Li, 2021, CIKM.

Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving

Chenglin Miao, Mengdi Huai, Chunming Qiao, 2021, SenSys.