Wenbin Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 72

Top Topics

Gene Expression

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
Jocelyn Dzuong, Zichong Wang, Wenbin Zhang
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. CoRR (2024)
Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang
Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. INFOCOM (Workshops) (2024)
Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi
Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research. CoRR (2024)
Zhipeng Yin, Zichong Wang, Wenbin Zhang
Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. ICSE Companion (2024)
Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
On the Efficiency of Privacy Attacks in Federated Learning. CoRR (2024)
Qingzhao Kong, Wanting Wang, Dongxiao Zhang, Wenbin Zhang
Two kinds of average approximation accuracy. CAAI Trans. Intell. Technol. 9 (2) (2024)
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)
Zhibo Chu, Zichong Wang, Wenbin Zhang
Fairness in Large Language Models: A Taxonomic Survey. CoRR (2024)
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 (2023)
Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR (2023)
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) (2023)
Wenbin Zhang, Jeremy C. Weiss
Fairness with censorship and group constraints. Knowl. Inf. Syst. 65 (6) (2023)
Wenbin Zhang, Jeremy C. Weiss
Fair Decision-making Under Uncertainty. CoRR (2023)
Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI (2023)
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)
Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang
AN: Fairness-Aware Graph Generative Adversarial Networks. ECML/PKDD (2) (2023)
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 (2023)
Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi
Missed Opportunities in Fair AI. SDM (2023)
Wenbin Zhang, Jeremy C. Weiss
Longitudinal Fairness with Censorship. CoRR (2022)
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) (2022)
Thomas Guyet, Wenbin Zhang, Albert Bifet
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence. CoRR (2022)
Wenbin Zhang, Jeremy C. Weiss, Shuigeng Zhou, Toby Walsh
Fairness Amidst Non-IID Graph Data: A Literature Review. CoRR (2022)
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)
Thomas Guyet, Wenbin Zhang, Albert Bifet
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences. ICCS (1) (2022)
Wenbin Zhang, Jeremy C. Weiss
Longitudinal Fairness with Censorship. AAAI (2022)
Zhen Liu, Ruoyu Wang, Jin Yang, Wenbin Zhang
Research on fine-tuning CNN for cancer diagnosis with gene expression data. ICMLC (2022)
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 (2022)
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)
Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. CoRR (2021)
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 (2021)
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)
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
Interpretable Visual Understanding with Cognitive Attention Network. ICANN (1) (2021)
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)
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
FARF: A Fair and Adaptive Random Forests Classifier. PAKDD (2) (2021)
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
Interpretable Visual Understanding with Cognitive Attention Network. CoRR (2021)
Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans
AutoEncoder for Neuroimage. DEXA (2) (2021)
Wenbin Zhang, Jeremy C. Weiss
Fair Decision-making Under Uncertainty. ICDM (2021)
Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao
Disentangled Dynamic Graph Deep Generation. SDM (2021)
Xuejian Wang, Wenbin Zhang, Aishwarya Jadhav, Jeremy C. Weiss
Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk. SPACA (2021)
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 (2021)
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
FARF: A Fair and Adaptive Random Forests Classifier. CoRR (2021)
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)
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 (2021)
Zhen Liu, Ruoyu Wang, Wenbin Zhang, Deyu Tang
An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis. ICMLC (2021)
Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
Online Fairness-Aware Learning with Imbalanced Data Streams. CoRR (2021)
Wenbin Zhang, Liang Zhao
Online Decision Trees with Fairness. CoRR (2020)
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 (2020)
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)
Divya Sukumar, Ji Zhang, Xiaohui Tao, Xin Wang, Wenbin Zhang
Predicting Workplace Injuries Using Machine Learning Algorithms. DSAA (2020)
Wenbin Zhang, Albert Bifet
FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. DS (2020)
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)
Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao
Disentangled Dynamic Graph Deep Generation. CoRR (2020)
Srinivas Danda, Ji Zhang, Xiaohui Tao, Jerry Chun-Wei Lin, Wenbin Zhang
Context-aware Adaptive Outlier Detection in Trajectory Data. IEEE BigData (2020)
Liming Zhang, Wenbin Zhang, Nathalie Japkowicz
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. ICPR (2020)
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)
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 (2020)
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)
Wenbin Zhang, Xuejiao Tang, Jianwu Wang
On Fairness-Aware Learning for Non-discriminative Decision-Making. ICDM Workshops (2019)
Wenbin Zhang, Eirini Ntoutsi
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. IJCAI (2019)
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)
Wenbin Zhang, Eirini Ntoutsi
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. CoRR (2019)
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 (2018)
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)
Wenbin Zhang, Jianwu Wang
Content-bootstrapped Collaborative Filtering for Medical Article Recommendations. BIBM (2018)
Antonio Candelieri, Wenbin Zhang, Enza Messina, Francesco Archetti
Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams. IEEE BigData (2018)
Wenbin Zhang, Jianwu Wang
A Hybrid Learning Framework for Imbalanced Stream Classification. BigData Congress (2017)
Wenbin Zhang
PhD Forum: Recognizing Human Posture from Time-Changing Wearable Sensor Data Streams. SMARTCOMP (2017)
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)
Wenbin Zhang, Jian Tang, Nuo Wang
Using the machine learning approach to predict patient survival from high-dimensional survival data. BIBM (2016)