Wenbin Zhang

According to our database, Wenbin Zhang authored at least 82 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Toward fair graph neural networks via real counterfactual samples.

Zichong Wang, Meikang Qiu, Min Chen, Malek Ben Salem, Xin Yao, Wenbin Zhang

Knowl. Inf. Syst., November, 2024

Resource-Efficient and Timely Packet Header Vector (PHV) Encoding on Programmable Switches.

Xiang Chen, Wenbin Zhang, Xi Sun, Hongyan Liu, Jianshan Zhang, Qun Huang, Dong Zhang, Haifeng Zhou, Xuan Liu, Chunming Wu

IEEE/ACM Trans. Netw., October, 2024

Toward Full-Coverage and Low-Overhead Profiling of Network-Stack Latency.

Xiang Chen, Hongyan Liu, Wenbin Zhang, Qun Huang, Dong Zhang, Haifeng Zhou, Xuan Liu, Chunming Wu

IEEE/ACM Trans. Netw., October, 2024

Fairness in Large Language Models: A Taxonomic Survey.

Zhibo Chu, Zichong Wang, Wenbin Zhang

SIGKDD Explor., June, 2024

SeGDroid: An Android malware detection method based on sensitive function call graph learning.

Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang

Expert Syst. Appl., January, 2024

Fairness in Large Language Models in Three Hours.

Thang Doan Viet, Zichong Wang, Minh Nhat Nguyen, Wenbin Zhang

CoRR, 2024

AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias.

Sribala Vidyadhari Chinta, Zichong Wang, Xingyu Zhang, Thang Doan Viet, Ayesha Kashif, Monique Antoinette Smith, Wenbin Zhang

CoRR, 2024

FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications.

Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang

CoRR, 2024

Fairness Definitions in Language Models Explained.

Thang Viet Doan, Zhibo Chu, Zichong Wang, Wenbin Zhang

CoRR, 2024

Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI.

Jocelyn Dzuong, Zichong Wang, Wenbin Zhang

CoRR, 2024

Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research.

Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi

CoRR, 2024

History, Development, and Principles of Large Language Models-An Introductory Survey.

Zhibo Chu, Shiwen Ni, Zichong Wang, Xi Feng, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang, Wenbin Zhang

CoRR, 2024

Two kinds of average approximation accuracy.

Qingzhao Kong, Wanting Wang, Dongxiao Zhang, Wenbin Zhang

CAAI Trans. Intell. Technol., 2024

AI fairness in practice: Paradigm, challenges, and prospects.

Wenbin Zhang

AI Mag., 2024

Individual Fairness with Group Awareness Under Uncertainty.

Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Advancing Graph Counterfactual Fairness Through Fair Representation Learning.

Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen, Wenbin Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting.

Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang

Proceedings of the IEEE INFOCOM 2024, 2024

Accelerating Sketch-based End-Host Traffic Measurement with Automatic DPU Offloading.

Xiang Chen, Xi Sun, Wenbin Zhang, Xin Yao, Zizheng Wang, Hongyan Liu, Qun Huang, Gaoning Pan, Xuan Liu, Haifeng Zhou, Chunming Wu

Proceedings of the IEEE INFOCOM 2024, 2024

Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking.

Zhipeng Yin, Zichong Wang, Wenbin Zhang

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Group Fairness with Individual and Censorship Constraints.

Zichong Wang, Wenbin Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

On the Efficiency of Privacy Attacks in Federated Learning.

Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice.

Eric Xu, Wenbin Zhang, Weifeng Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Fairness in Large Language Models in Three Hours.

Thang Viet Doan, Zichong Wang, Nhat Nguyen Minh Hoang, Wenbin Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Deep Neural Network-Based Communication Failure Prediction Scheme in 5G RAN.

Mohammad Ariful Islam, Hisham Siddique, Wenbin Zhang, Israat Haque

IEEE Trans. Netw. Serv. Manag., June, 2023

Fairness with censorship and group constraints.

Wenbin Zhang, Jeremy C. Weiss

Knowl. Inf. Syst., June, 2023

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking.

Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang

CoRR, 2023

Preventing Discriminatory Decision-making in Evolving Data Streams.

Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Albert Bifet, Wenbin Zhang

CoRR, 2023

Individual Fairness Guarantee in Learning with Censorship.

Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss

CoRR, 2023

Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making.

Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi

CoRR, 2023

Missed Opportunities in Fair AI.

Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

FG²AN: Fairness-Aware Graph Generative Adversarial Networks.

Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples.

Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit.

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

Proceedings of the IEEE International Conference on Data Mining, 2023

Preventing Discriminatory Decision-making in Evolving Data Streams.

Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet, Wenbin Zhang

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Individual Fairness Under Uncertainty.

Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record.

Xin Huang, Xiangyang Meng, Ni Zhao, Wenbin Zhang, Jianwu Wang

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Rethinking Learning Rate Tuning in the Era of Large Language Models.

Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data.

Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang

Proceedings of the IEEE International Conference on Big Data, 2023

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving.

Jun Liu, Chao Wu, Geng Yuan, Wei Niu, Wenbin Zhang, Houbing Herbert Song

Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023

Censored Fairness through Awareness.

Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

WIREs Data Mining Knowl. Discov., 2022

Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis.

Zhen Liu, Ruoyu Wang, Wenbin Zhang

Medical Biol. Eng. Comput., 2022

Attention Mechanism based Cognition-level Scene Understanding.

Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang

CoRR, 2022

Fairness Amidst Non-IID Graph Data: A Literature Review.

Wenbin Zhang, Jeremy C. Weiss, Shuigeng Zhou, Toby Walsh

CoRR, 2022

Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence.

Thomas Guyet, Wenbin Zhang, Albert Bifet

CoRR, 2022

Research on fine-tuning CNN for cancer diagnosis with gene expression data.

Zhen Liu, Ruoyu Wang, Jin Yang, Wenbin Zhang

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences.

Thomas Guyet, Wenbin Zhang, Albert Bifet

Proceedings of the Computational Science - ICCS 2022, 2022

Longitudinal Fairness with Censorship.

Wenbin Zhang, Jeremy C. Weiss

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines.

Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Deyu Tang, Wenbin Zhang, Jie Zhao

Future Gener. Comput. Syst., 2021

A Generic Knowledge Based Medical Diagnosis Expert System.

Xin Huang, Xuejiao Tang, Wenbin Zhang, Shichao Pei, Ji Zhang, Wensheng Gan, Mingli Zhang, Zhen Liu, Ruijun Chen, Yiyi Huang

CoRR, 2021

Online Fairness-Aware Learning with Imbalanced Data Streams.

Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

CoRR, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.

Xin Huang, Wenbin Zhang, Yiyi Huang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang

CoRR, 2021

Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk.

Xuejian Wang, Wenbin Zhang, Aishwarya Jadhav, Jeremy C. Weiss

Proceedings of AAAI Symposium on Survival Prediction, 2021

Disentangled Dynamic Graph Deep Generation.

Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

FARF: A Fair and Adaptive Random Forests Classifier.

Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Generic Knowledge Based Medical Diagnosis Expert System.

Xin Huang, Xuejiao Tang, Wenbin Zhang, Ji Zhang, Mingli Zhang, Wensheng Gan, Shichao Pei, Zhen Liu, Yiyi Huang

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis.

Zhen Liu, Ruoyu Wang, Wenbin Zhang, Deyu Tang

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Fair Decision-making Under Uncertainty.

Wenbin Zhang, Jeremy C. Weiss

Proceedings of the IEEE International Conference on Data Mining, 2021

Interpretable Visual Understanding with Cognitive Attention Network.

Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

AutoEncoder for Neuroimage.

Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans

Proceedings of the Database and Expert Systems Applications, 2021

An Effective Algorithm for Classification of Text with Weak Sequential Relationships.

Qiqiang Xu, Ji Zhang, Ting Yu, Wenbin Zhang, Mingli Zhang, Yonglong Luo, Fulong Chen, Zhen Liu

Proceedings of the Database and Expert Systems Applications, 2021

Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory.

Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.

Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Online Decision Trees with Fairness.

Wenbin Zhang, Liang Zhao

CoRR, 2020

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams.

Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables.

Liming Zhang, Wenbin Zhang, Nathalie Japkowicz

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Predicting Workplace Injuries Using Machine Learning Algorithms.

Divya Sukumar, Ji Zhang, Xiaohui Tao, Xin Wang, Wenbin Zhang

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier.

Wenbin Zhang, Albert Bifet

Proceedings of the Discovery Science - 23rd International Conference, 2020

Deep Discriminative Learning for Autism Spectrum Disorder Classification.

Mingli Zhang, Xin Zhao, Wenbin Zhang, Ahmad Chaddad, Alan C. Evans, Jean-Baptiste Poline

Proceedings of the Database and Expert Systems Applications, 2020

A Data-driven Human Responsibility Management System.

Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Context-aware Adaptive Outlier Detection in Trajectory Data.

Srinivas Danda, Ji Zhang, Xiaohui Tao, Jerry Chun-Wei Lin, Wenbin Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Using Machine Learning to Automate Mammogram Images Analysis.

Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

FAHT: An Adaptive Fairness-aware Decision Tree Classifier.

Wenbin Zhang, Eirini Ntoutsi

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On Fairness-Aware Learning for Non-discriminative Decision-Making.

Wenbin Zhang, Xuejiao Tang, Jianwu Wang

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain.

Xuejiao Tang, Jiong Qiu, Wenbin Zhang, Ibrahim Toure, Mingli Zhang, Enza Messina, Xueping Xie, Xuebing Wang, Sheng Yu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification.

Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, Zhibo Zhang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams.

Antonio Candelieri, Wenbin Zhang, Enza Messina, Francesco Archetti

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Content-bootstrapped Collaborative Filtering for Medical Article Recommendations.

Wenbin Zhang, Jianwu Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

PhD Forum: Recognizing Human Posture from Time-Changing Wearable Sensor Data Streams.

Wenbin Zhang

Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017

A Hybrid Learning Framework for Imbalanced Stream Classification.

Wenbin Zhang, Jianwu Wang

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

Wearable sensor based human posture recognition.

Jianwu Wang, Zhichuan Huang, Wenbin Zhang, Ankita Patil, Ketan Patil, Ting Zhu, Eric J. Shiroma, Mitchell A. Schepps, Tamara B. Harris

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Using the machine learning approach to predict patient survival from high-dimensional survival data.

Wenbin Zhang, Jian Tang, Nuo Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016