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ORCIDHuimin Zeng 0001
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- affiliation: University of Illinois Urbana-Champaign, USA
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- Huimin Zeng — disambiguation page
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2020 – today
- 2024
[j3]Huimin Zeng
, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang:
Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19. IEEE Trans. Emerg. Top. Comput. 12(4): 1105-1116 (2024)- [c33]Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang:
Fair Federated Learning with Biased Vision-Language Models. ACL (Findings) 2024: 10002-10017 - [c32]Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang:
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments. ACL (1) 2024: 10331-10343 - [c31]Yang Zhang, Ruohan Zong, Lanyu Shang, Zhenrui Yue, Huimin Zeng, Yifan Liu, Dong Wang:
Tripartite Intelligence: Synergizing Deep Neural Network, Large Language Model, and Human Intelligence for Public Health Misinformation Detection (Archival Full Paper). CI 2024 - [c30]Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley:
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. EMNLP (Findings) 2024: 13461-13472 - [c29]Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang:
Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach. ICDCS 2024: 785-796 - [c28]Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang:
A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media. ICWSM 2024: 1408-1421 - [c27]Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang:
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation. NAACL-HLT 2024: 5628-5643 - [c26]Huimin Zeng, Zhenrui Yue, Dong Wang:
Open-Vocabulary Federated Learning with Multimodal Prototyping. NAACL-HLT 2024: 5644-5656 - [c25]Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang:
Fair Sequential Recommendation without User Demographics. SIGIR 2024: 395-404 - [c24]Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang:
Linear Recurrent Units for Sequential Recommendation. WSDM 2024: 930-938 - [c23]Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang:
SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. WWW 2024: 2497-2508 - [c22]Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang:
MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. WWW 2024: 4653-4663 - [i19]Huimin Zeng, Zhenrui Yue, Qian Jiang, Dong Wang:
Federated Recommendation via Hybrid Retrieval Augmented Generation. CoRR abs/2403.04256 (2024) - [i18]Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang:
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation. CoRR abs/2403.14952 (2024) - [i17]Huimin Zeng, Zhenrui Yue, Dong Wang:
Open-Vocabulary Federated Learning with Multimodal Prototyping. CoRR abs/2404.01232 (2024) - [i16]Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang:
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments. CoRR abs/2406.09815 (2024) - [i15]Yueqi Wang, Zhenrui Yue, Huimin Zeng, Dong Wang, Julian J. McAuley:
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation. CoRR abs/2409.16627 (2024) - [i14]Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang:
Transferable Sequential Recommendation via Vector Quantized Meta Learning. CoRR abs/2411.01785 (2024) - 2023
- [j2]Huimin Zeng, Zhenrui Yue, Ziyi Kou, Yang Zhang, Lanyu Shang, Dong Wang:
Fairness-aware training of face attribute classifiers via adversarial robustness. Knowl. Based Syst. 264: 110356 (2023) - [c21]Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang:
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification. AAAI 2023: 14637-14645 - [c20]Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang:
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. ACL (1) 2023: 5223-5239 - [c19]Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang:
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning. ACL (1) 2023: 7928-7943 - [c18]Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang:
Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning. CIKM 2023: 3114-3123 - [c17]Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang:
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition. IJCAI 2023: 527-535 - [c16]Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang:
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. IJCAI 2023: 6317-6325 - [c15]Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang:
A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing. SECON 2023: 429-437 - [c14]Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang:
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. WWW 2023: 4050-4059 - [i13]Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, Dong Wang:
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning. CoRR abs/2305.12692 (2023) - [i12]Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang:
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning. CoRR abs/2305.17373 (2023) - [i11]Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang:
Linear Recurrent Units for Sequential Recommendation. CoRR abs/2310.02367 (2023) - 2022
- [j1]Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Huimin Zeng, Dong Wang:
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [c13]Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang:
A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media. ASONAM 2022: 34-41 - [c12]Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang:
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. ASONAM 2022: 159-162 - [c11]Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang:
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations. IEEE Big Data 2022: 1588-1593 - [c10]Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. CIKM 2022: 2423-2433 - [c9]Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Domain Adaptation for Question Answering via Question Classification. COLING 2022: 1776-1790 - [c8]Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation. DCOSS 2022: 141-148 - [c7]Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang:
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. EMNLP 2022: 2308-2321 - [c6]Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang:
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. IJCAI 2022: 4893-4899 - [c5]Ziyi Kou, Lanyu Shang, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang:
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection. IJCAI 2022: 5087-5093 - [c4]Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders. RecSys 2022: 59-70 - [i10]Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation. CoRR abs/2203.16537 (2022) - [i9]Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders. CoRR abs/2207.11237 (2022) - [i8]Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. CoRR abs/2208.09578 (2022) - [i7]Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Domain Adaptation for Question Answering via Question Classification. CoRR abs/2209.04998 (2022) - [i6]Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang:
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. CoRR abs/2210.02191 (2022) - [i5]Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang:
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. CoRR abs/2210.03250 (2022) - [i4]Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang:
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. CoRR abs/2210.10861 (2022) - 2021
- [c3]Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang:
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks. AAAI 2021: 10815-10823 - [c2]Ziyi Kou, Lanyu Shang, Huimin Zeng, Yang Zhang, Dong Wang:
ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation. IEEE BigData 2021: 1285-1290 - [c1]Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. RecSys 2021: 44-54 - [i3]Huimin Zeng, Jiahao Su, Furong Huang:
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders. CoRR abs/2108.00491 (2021) - [i2]Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. CoRR abs/2109.01165 (2021) - 2020
- [i1]Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang:
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks. CoRR abs/2010.12989 (2020)
Coauthor Index
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