default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMengdi Huai
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c47]Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao:
Backdoor Attacks via Machine Unlearning. AAAI 2024: 14115-14123- [c46]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: 14651-14659 - [c45]Guangtao Zheng, Mengdi Huai, Aidong Zhang:
AdvST: Revisiting Data Augmentations for Single Domain Generalization. AAAI 2024: 21832-21840 - [c44]Mengdi Huai:
Fostering Trustworthiness in Machine Learning Algorithms. AAAI 2024: 22670 - [c43]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: 23712-23713 - [c42]Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma:
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. ICML 2024 - [c41]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
Improving Interpretation Faithfulness for Vision Transformers. ICML 2024 - [c40]Yangyi Li, Aobo Chen, Wei Qian, Chenxu Zhao, Divya Lidder, Mengdi Huai:
Data Poisoning Attacks against Conformal Prediction. ICML 2024 - [c39]Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai:
Rethinking Adversarial Robustness in the Context of the Right to be Forgotten. ICML 2024 - [c38]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: 4607-4618 - [c37]Aobo Chen, Yangyi Li, Wei Qian, Kathy Morse, Chenglin Miao, Mengdi Huai:
Modeling and Understanding Uncertainty in Medical Image Classification. MICCAI (10) 2024: 557-567 - [c36]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: 499-507 - [i12]Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai:
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. CoRR abs/2401.01549 (2024) - [i11]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 abs/2405.16798 (2024) - [i10]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 abs/2406.13942 (2024) - [i9]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 abs/2407.03247 (2024) - 2023
- [j3]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): 8799-8810 (2023) - [c35]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
SEAT: Stable and Explainable Attention. AAAI 2023: 12907-12915 - [c34]Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-Based Models. AAAI 2023: 15127-15135 - [c33]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: 1932-1942 - [c32]Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai:
Static and Sequential Malicious Attacks in the Context of Selective Forgetting. NeurIPS 2023 - [c31]Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang:
Learning to Learn Task Transformations for Improved Few-Shot Classification. SDM 2023: 784-792 - [c30]Cheng-Long Wang, Mengdi Huai, Di Wang:
Inductive Graph Unlearning. USENIX Security Symposium 2023: 3205-3222 - [c29]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: 3680-3688 - [i8]Cheng-Long Wang, Mengdi Huai, Di Wang:
Inductive Graph Unlearning. CoRR abs/2304.03093 (2023) - [i7]Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang:
White-box Membership Inference Attacks against Diffusion Models. CoRR abs/2308.06405 (2023) - [i6]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 abs/2310.02520 (2023) - [i5]Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu:
Automated Natural Language Explanation of Deep Visual Neurons with Large Models. CoRR abs/2310.10708 (2023) - [i4]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
Improving Faithfulness for Vision Transformers. CoRR abs/2311.17983 (2023) - [i3]Guangtao Zheng, Mengdi Huai, Aidong Zhang:
AdvST: Revisiting Data Augmentations for Single Domain Generalization. CoRR abs/2312.12720 (2023) - 2022
- [j2]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): 95:1-95:25 (2022) - [c28]Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang:
Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI 2022: 6935-6943 - [c27]Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai:
Patient Similarity Learning with Selective Forgetting. BIBM 2022: 529-534 - [c26]Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai:
Brain Effective Connectivity Learning with Deep Reinforcement Learning. BIBM 2022: 1664-1667 - [c25]Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang:
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. KDD 2022: 1706-1716 - [i2]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
SEAT: Stable and Explainable Attention. CoRR abs/2211.13290 (2022) - [i1]Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-based Models. CoRR abs/2211.16080 (2022) - 2021
- [c24]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: 3583-3587 - [c23]Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang:
Differentially Private Pairwise Learning Revisited. IJCAI 2021: 3242-3248 - [c22]Yi Zhu, Chenglin Miao, Foad Hajiaghajani, Mengdi Huai, Lu Su, Chunming Qiao:
Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving. SenSys 2021: 329-342 - 2020
- [j1]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): 53:1-53:33 (2020) - [c21]Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Pairwise Learning with Differential Privacy Guarantees. AAAI 2020: 694-701 - [c20]Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang:
Towards Interpretation of Pairwise Learning. AAAI 2020: 4166-4173 - [c19]Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang:
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI 2020: 4852-4859 - [c18]Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang:
Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. BIBM 2020: 257-262 - [c17]Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang:
Global Interpretation for Patient Similarity Learning. BIBM 2020: 589-594 - [c16]Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang:
Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD 2020: 472-482
2010 – 2019
- 2019
- [c15]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: 1432-1437 - [c14]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: 2535-2541 - [c13]Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Privacy-aware Synthesizing for Crowdsourced Data. IJCAI 2019: 2542-2548 - [c12]Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang:
DTEC: Distance Transformation Based Early Time Series Classification. SDM 2019: 486-494 - 2018
- [c11]Di Wang, Mengdi Huai, Jinhui Xu:
Differentially Private Sparse Inverse Covariance Estimation. GlobalSIP 2018: 1139-1143 - [c10]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang:
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM 2018: 477-486 - [c9]Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Metric Learning from Probabilistic Labels. KDD 2018: 1541-1550 - [c8]Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, Lu Su:
Towards Data Poisoning Attacks in Crowd Sensing Systems. MobiHoc 2018: 111-120 - [c7]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS 2018: 2638-2648 - [c6]Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang:
Uncorrelated Patient Similarity Learning. SDM 2018: 270-278 - [c5]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: 13-22 - 2017
- [c4]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: 811-816 - 2015
- [c3]Mengdi Huai, Liusheng Huang, Yu-e Sun, Wei Yang:
Efficient Privacy-Preserving Aggregation for Mobile Crowdsensing. BDCloud 2015: 275-280 - [c2]Mengdi Huai, Liusheng Huang, Wei Yang, Lu Li, Mingyu Qi:
Privacy-Preserving Naive Bayes Classification. KSEM 2015: 627-638 - 2014
- [c1]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: 1-6
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-11 18:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
