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ORCIDWenbin Zhang 0002
张雯斌
Person information
- unicode name: 张雯斌
- affiliation: Florida International University, Miami, FL, USA
- affiliation (former): Carnegie Mellon University, PA, USA
- affiliation (former): University of Maryland, Baltimore County, MD, USA
Other persons with the same name
- Wenbin Zhang (aka: WenBin Zhang, Wen-bin Zhang, Wen-Bin Zhang) — disambiguation page
- Wenbin Zhang 0001
![[0000-0003-2320-4412]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2320-4412")
— Harbin Institute of Technology, Communication Research Center, China - Wenbin Zhang 0003 — IBM, Singapore (and 1 more)
- Wenbin Zhang 0004 — Shandong University, School of Computer Science and Technology, Jinan, China
- Wenbin Zhang 0005 — Epic Systems Corporation, Verona, WI, USA (and 1 more)
- Wenbin Zhang 0006 — Kunming University of Science and Technology, Faculty of Science, China
- Wenbin Zhang 0007 — State University of New York at Stony Brook, Department of Computer Science, NY, USA
- Wen-Bin Zhang 0008 (aka: Wenbin Zhang 0008) — Chinese University of Hong Kong, Institute of Future Cities, Hong Kong (and 2 more)
- Wenbin Zhang 0009 — Honghe University, Engineering College, Mengzi, China
- Wenbin Zhang 0010 — Tianjin University, Information and Network Center, China
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2020 – today
- 2024
[j12]Wenbin Zhang:
AI fairness in practice: Paradigm, challenges, and prospects. AI Mag. 45(3): 386-395 (2024)- [j11]Qingzhao Kong, Wanting Wang, Dongxiao Zhang, Wenbin Zhang:
Two kinds of average approximation accuracy. CAAI Trans. Intell. Technol. 9(2): 481-490 (2024) - [j10]Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang:
SeGDroid: An Android malware detection method based on sensitive function call graph learning. Expert Syst. Appl. 235: 121125 (2024) - [j9]Zichong Wang, Meikang Qiu, Min Chen, Malek Ben Salem, Xin Yao, Wenbin Zhang:
Toward fair graph neural networks via real counterfactual samples. Knowl. Inf. Syst. 66(11): 6617-6641 (2024) - [j8]Zhibo Chu, Zichong Wang, Wenbin Zhang:
Fairness in Large Language Models: A Taxonomic Survey. SIGKDD Explor. 26(1): 34-48 (2024) - [j7]Xiang Chen, Wenbin Zhang, Xi Sun, Hongyan Liu, Jianshan Zhang, Qun Huang, Dong Zhang, Haifeng Zhou, Xuan Liu, Chunming Wu:
Resource-Efficient and Timely Packet Header Vector (PHV) Encoding on Programmable Switches. IEEE/ACM Trans. Netw. 32(5): 4191-4206 (2024) - [j6]Xiang Chen, Hongyan Liu, Wenbin Zhang, Qun Huang, Dong Zhang, Haifeng Zhou, Xuan Liu, Chunming Wu:
Toward Full-Coverage and Low-Overhead Profiling of Network-Stack Latency. IEEE/ACM Trans. Netw. 32(5): 4441-4455 (2024) - [c56]Wenbin Zhang:
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment. AAAI 2024: 22685 - [c55]Thang Viet Doan, Zichong Wang, Nhat Nguyen Minh Hoang, Wenbin Zhang:
Fairness in Large Language Models in Three Hours. CIKM 2024: 5514-5517 - [c54]Eric Xu, Wenbin Zhang, Weifeng Xu:
Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice. CIKM 2024: 5543-5546 - [c53]Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
On the Efficiency of Privacy Attacks in Federated Learning. CVPR Workshops 2024: 4226-4235 - [c52]Zichong Wang, Wenbin Zhang:
Group Fairness with Individual and Censorship Constraints. ECAI 2024: 906-913 - [c51]Zhipeng Yin, Zichong Wang, Wenbin Zhang:
Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. ICSE Companion 2024: 420-421 - [c50]Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan:
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. IJCAI 2024: 349-357 - [c49]Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang:
Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. INFOCOM (Workshops) 2024: 1-6 - [c48]Xiang Chen, Xi Sun, Wenbin Zhang, Xin Yao, Zizheng Wang, Hongyan Liu, Qun Huang, Gaoning Pan, Xuan Liu, Haifeng Zhou, Chunming Wu:
Accelerating Sketch-based End-Host Traffic Measurement with Automatic DPU Offloading. INFOCOM 2024: 171-180 - [c47]Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen, Wenbin Zhang:
Advancing Graph Counterfactual Fairness Through Fair Representation Learning. ECML/PKDD (7) 2024: 40-58 - [c46]Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang:
Individual Fairness with Group Awareness Under Uncertainty. ECML/PKDD (5) 2024: 89-106 - [c45]Daniel Addai, Sarfraz Shaikh, Eric Xu, Wenbin Zhang, Weifeng Xu:
A Graph-Based Approach for Discovering Evidence Relationships Across Multiple Devices in Group Crimes. QRS Companion 2024: 1312-1313 - [i35]Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Muhammad Asaduzzaman, Wenbin Zhang:
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT. CoRR abs/2401.14279 (2024) - [i34]Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang:
History, Development, and Principles of Large Language Models-An Introductory Survey. CoRR abs/2402.06853 (2024) - [i33]Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi:
Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research. CoRR abs/2403.14040 (2024) - [i32]Zhibo Chu, Zichong Wang, Wenbin Zhang:
Fairness in Large Language Models: A Taxonomic Survey. CoRR abs/2404.01349 (2024) - [i31]Jocelyn Dzuong, Zichong Wang, Wenbin Zhang:
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. CoRR abs/2404.08221 (2024) - [i30]Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
On the Efficiency of Privacy Attacks in Federated Learning. CoRR abs/2404.09430 (2024) - [i29]Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan:
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. CoRR abs/2405.03884 (2024) - [i28]Thang Viet Doan, Zhibo Chu, Zichong Wang, Wenbin Zhang:
Fairness Definitions in Language Models Explained. CoRR abs/2407.18454 (2024) - [i27]Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang:
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications. CoRR abs/2407.18745 (2024) - [i26]Sribala Vidyadhari Chinta, Zichong Wang, Xingyu Zhang, Thang Doan Viet, Ayesha Kashif, Monique Antoinette Smith, Wenbin Zhang:
AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias. CoRR abs/2407.19655 (2024) - [i25]Thang Doan Viet, Zichong Wang, Minh Nhat Nguyen, Wenbin Zhang:
Fairness in Large Language Models in Three Hours. CoRR abs/2408.00992 (2024) - [i24]Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang:
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. CoRR abs/2410.13083 (2024) - 2023
- [j5]Wenbin Zhang, Jeremy C. Weiss:
Fairness with censorship and group constraints. Knowl. Inf. Syst. 65(6): 2571-2594 (2023) - [j4]Mohammad Ariful Islam, Hisham Siddique, Wenbin Zhang, Israat Haque:
A Deep Neural Network-Based Communication Failure Prediction Scheme in 5G RAN. IEEE Trans. Netw. Serv. Manag. 20(2): 1140-1152 (2023) - [c44]Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss:
Censored Fairness through Awareness. AAAI 2023: 14611-14619 - [c43]Jun Liu, Chao Wu, Geng Yuan, Wei Niu, Wenbin Zhang, Houbing Herbert Song:
A Scalable Real-time Semantic Segmentation Network for Autonomous Driving. AMC-SME 2023: 3-12 - [c42]Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang:
DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. IEEE Big Data 2023: 1410-1418 - [c41]Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI 2023: 112-121 - [c40]Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang:
Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. DaWaK 2023: 149-157 - [c39]Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss:
Individual Fairness Under Uncertainty. ECAI 2023: 3042-3049 - [c38]Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet, Wenbin Zhang:
Preventing Discriminatory Decision-making in Evolving Data Streams. FAccT 2023: 149-159 - [c37]Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang:
Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. ICDM 2023: 638-647 - [c36]Yu Cai, Drew Youngstrom, Wenbin Zhang:
Exploring Approaches for Teaching Cybersecurity and AI for K-12. ICDM (Workshops) 2023: 1559-1564 - [c35]Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang:
Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. ICDM (Workshops) 2023: 1565-1574 - [c34]Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang:
FG2AN: Fairness-Aware Graph Generative Adversarial Networks. ECML/PKDD (2) 2023: 259-275 - [c33]Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi:
Missed Opportunities in Fair AI. SDM 2023: 961-964 - [i23]Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi:
Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making. CoRR abs/2301.03489 (2023) - [i22]Wenbin Zhang, Jeremy C. Weiss:
Fair Decision-making Under Uncertainty. CoRR abs/2301.12364 (2023) - [i21]Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss:
Individual Fairness Guarantee in Learning with Censorship. CoRR abs/2302.08015 (2023) - [i20]Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Albert Bifet, Wenbin Zhang:
Preventing Discriminatory Decision-making in Evolving Data Streams. CoRR abs/2302.08017 (2023) - [i19]Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang:
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR abs/2302.08018 (2023) - [i18]Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR abs/2309.08859 (2023) - [i17]Xuejiao Tang, Jiong Qiu, Wenbin Zhang, Ibrahim Toure, Mingli Zhang, Enza Messina, Xueping Xie, Xuebing Wang, Sheng Yu:
The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain. CoRR abs/2312.04729 (2023) - 2022
- [j3]Zhen Liu, Ruoyu Wang, Wenbin Zhang:
Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis. Medical Biol. Eng. Comput. 60(4): 1055-1073 (2022) - [j2]Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi:
A survey on datasets for fairness-aware machine learning. WIREs Data Mining Knowl. Discov. 12(3) (2022) - [c32]Wenbin Zhang, Jeremy C. Weiss:
Longitudinal Fairness with Censorship. AAAI 2022: 12235-12243 - [c31]Thomas Guyet, Wenbin Zhang, Albert Bifet:
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences. ICCS (1) 2022: 460-472 - [c30]Zhen Liu, Ruoyu Wang, Jin Yang, Wenbin Zhang:
Research on fine-tuning CNN for cancer diagnosis with gene expression data. ICMLC 2022: 140-145 - [i16]Thomas Guyet, Wenbin Zhang, Albert Bifet:
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence. CoRR abs/2201.11650 (2022) - [i15]Wenbin Zhang, Jeremy C. Weiss, Shuigeng Zhou, Toby Walsh:
Fairness Amidst Non-IID Graph Data: A Literature Review. CoRR abs/2202.07170 (2022) - [i14]Wenbin Zhang, Jeremy C. Weiss:
Longitudinal Fairness with Censorship. CoRR abs/2203.16024 (2022) - [i13]Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang:
Attention Mechanism based Cognition-level Scene Understanding. CoRR abs/2204.08027 (2022) - 2021
- [j1]Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Deyu Tang, Wenbin Zhang, Jie Zhao:
Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. Future Gener. Comput. Syst. 120: 91-108 (2021) - [c29]Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang:
LSTM Based Sentiment Analysis for Cryptocurrency Prediction. DASFAA (3) 2021: 617-621 - [c28]Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. DaWaK 2021: 81-93 - [c27]Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans:
AutoEncoder for Neuroimage. DEXA (2) 2021: 84-90 - [c26]Qiqiang Xu, Ji Zhang, Ting Yu, Wenbin Zhang, Mingli Zhang, Yonglong Luo, Fulong Chen, Zhen Liu:
An Effective Algorithm for Classification of Text with Weak Sequential Relationships. DEXA (2) 2021: 283-294 - [c25]Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi:
Interpretable Visual Understanding with Cognitive Attention Network. ICANN (1) 2021: 555-568 - [c24]Wenbin Zhang, Jeremy C. Weiss:
Fair Decision-making Under Uncertainty. ICDM 2021: 886-895 - [c23]Zhen Liu, Ruoyu Wang, Wenbin Zhang, Deyu Tang:
An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis. ICMLC 2021: 252-257 - [c22]Xin Huang, Xuejiao Tang, Wenbin Zhang, Ji Zhang, Mingli Zhang, Wensheng Gan, Shichao Pei, Zhen Liu, Yiyi Huang:
A Generic Knowledge Based Medical Diagnosis Expert System. iiWAS 2021: 462-466 - [c21]Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl:
FARF: A Fair and Adaptive Random Forests Classifier. PAKDD (2) 2021: 245-256 - [c20]Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao:
Disentangled Dynamic Graph Deep Generation. SDM 2021: 738-746 - [c19]Xuejian Wang, Wenbin Zhang, Aishwarya Jadhav, Jeremy C. Weiss:
Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk. SPACA 2021: 171-183 - [i12]Xin Huang, Wenbin Zhang, Yiyi Huang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang:
LSTM Based Sentiment Analysis for Cryptocurrency Prediction. CoRR abs/2103.14804 (2021) - [i11]Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. CoRR abs/2107.01671 (2021) - [i10]Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi:
Interpretable Visual Understanding with Cognitive Attention Network. CoRR abs/2108.02924 (2021) - [i9]Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi:
Online Fairness-Aware Learning with Imbalanced Data Streams. CoRR abs/2108.06231 (2021) - [i8]Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl:
FARF: A Fair and Adaptive Random Forests Classifier. CoRR abs/2108.07403 (2021) - [i7]Xin Huang, Xuejiao Tang, Wenbin Zhang, Shichao Pei, Ji Zhang, Wensheng Gan, Mingli Zhang, Zhen Liu, Ruijun Chen, Yiyi Huang:
A Generic Knowledge Based Medical Diagnosis Expert System. CoRR abs/2110.04439 (2021) - 2020
- [c18]Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang:
Using Machine Learning to Automate Mammogram Images Analysis. BIBM 2020: 757-764 - [c17]Srinivas Danda, Ji Zhang, Xiaohui Tao, Jerry Chun-Wei Lin, Wenbin Zhang:
Context-aware Adaptive Outlier Detection in Trajectory Data. IEEE BigData 2020: 5655-5657 - [c16]Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. IEEE BigData 2020: 5834-5838 - [c15]Mingli Zhang, Xin Zhao, Wenbin Zhang, Ahmad Chaddad, Alan C. Evans, Jean-Baptiste Poline:
Deep Discriminative Learning for Autism Spectrum Disorder Classification. DEXA (1) 2020: 435-443 - [c14]Wenbin Zhang, Albert Bifet:
FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. DS 2020: 175-189 - [c13]Divya Sukumar, Ji Zhang, Xiaohui Tao, Xin Wang, Wenbin Zhang:
Predicting Workplace Injuries Using Machine Learning Algorithms. DSAA 2020: 763-764 - [c12]Liming Zhang, Wenbin Zhang, Nathalie Japkowicz:
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. ICPR 2020: 5889-5896 - [c11]Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina:
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. ICTAI 2020: 399-406 - [i6]Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao:
Disentangled Dynamic Graph Deep Generation. CoRR abs/2010.07276 (2020) - [i5]Wenbin Zhang, Liang Zhao:
Online Decision Trees with Fairness. CoRR abs/2010.08146 (2020) - [i4]Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang:
Using Machine Learning to Automate Mammogram Images Analysis. CoRR abs/2012.03151 (2020) - [i3]Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. CoRR abs/2012.03190 (2020)
2010 – 2019
- 2019
- [c10]Xuejiao Tang, Jiong Qiu, Wenbin Zhang, Ibrahim Toure, Mingli Zhang, Enza Messina, Xueping Xie, Xuebing Wang, Sheng Yu:
The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain. IEEE BigData 2019: 6226-6228 - [c9]Wenbin Zhang, Xuejiao Tang, Jianwu Wang:
On Fairness-Aware Learning for Non-discriminative Decision-Making. ICDM Workshops 2019: 1072-1079 - [c8]Wenbin Zhang, Eirini Ntoutsi:
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. IJCAI 2019: 1480-1486 - [i2]Wenbin Zhang, Eirini Ntoutsi:
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. CoRR abs/1907.07237 (2019) - 2018
- [c7]Wenbin Zhang, Jianwu Wang:
Content-bootstrapped Collaborative Filtering for Medical Article Recommendations. BIBM 2018: 1184-1188 - [c6]Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang:
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. IEEE BigData 2018: 2027-2034 - [c5]Antonio Candelieri, Wenbin Zhang, Enza Messina, Francesco Archetti:
Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams. IEEE BigData 2018: 5302-5304 - [i1]Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang:
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. CoRR abs/1808.08315 (2018) - 2017
- [c4]Wenbin Zhang, Jianwu Wang:
A Hybrid Learning Framework for Imbalanced Stream Classification. BigData Congress 2017: 480-487 - [c3]Wenbin Zhang:
PhD Forum: Recognizing Human Posture from Time-Changing Wearable Sensor Data Streams. SMARTCOMP 2017: 1-2 - 2016
- [c2]Wenbin Zhang, Jian Tang, Nuo Wang:
Using the machine learning approach to predict patient survival from high-dimensional survival data. BIBM 2016: 1234-1238 - [c1]Jianwu Wang, Zhichuan Huang, Wenbin Zhang, Ankita Patil, Ketan Patil, Ting Zhu, Eric J. Shiroma, Mitchell A. Schepps, Tamara B. Harris:
Wearable sensor based human posture recognition. IEEE BigData 2016: 3432-3438
Coauthor Index
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