Using the machine learning approach to predict patient survival from high-dimensional survival data. - Wenbin Zhang 002; Jian Tang; Nuo Wang (BIBM, 2016)

Wearable sensor based human posture recognition. - Jianwu Wang 001; Zhichuan Huang; Wenbin Zhang 002; Ankita Patil; Ketan Patil; Ting Zhu 001; Eric J. Shiroma; Mitchell A. Schepps; Tamara B. Harris (IEEE BigData, 2016)

A Hybrid Learning Framework for Imbalanced Stream Classification. - Wenbin Zhang 002; Jianwu Wang 001 (BigData Congress, 2017)

PhD Forum: Recognizing Human Posture from Time-Changing Wearable Sensor Data Streams. - Wenbin Zhang 002 (SMARTCOMP, 2017)

Content-bootstrapped Collaborative Filtering for Medical Article Recommendations. - Wenbin Zhang 002; Jianwu Wang 001 (BIBM, 2018)

Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams. - Antonio Candelieri; Wenbin Zhang 002; Enza Messina; Francesco Archetti (IEEE BigData, 2018)

A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification. - Wenbin Zhang 002; Jianwu Wang 001; Daeho Jin; Lazaros Oreopoulos; Zhibo Zhang (IEEE BigData, 2018)

The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain. - Xuejiao Tang; Jiong Qiu; Wenbin Zhang 002; Ibrahim Toure; Mingli Zhang; Enza Messina; Xueping Xie; Xuebing Wang; Sheng Yu (IEEE BigData, 2019)

On Fairness-Aware Learning for Non-discriminative Decision-Making. - Wenbin Zhang 002; Xuejiao Tang; Jianwu Wang 001 (ICDM Workshops, 2019)

FAHT: An Adaptive Fairness-aware Decision Tree Classifier. - Wenbin Zhang 002; Eirini Ntoutsi (IJCAI, 2019)

Using Machine Learning to Automate Mammogram Images Analysis. - Xuejiao Tang; Liuhua Zhang; Wenbin Zhang 002; Xin Huang 005; Vasileios Iosifidis; Zhen Liu 017; Mingli Zhang; Enza Messina; Ji Zhang 001 (BIBM, 2020)

Context-aware Adaptive Outlier Detection in Trajectory Data. - Srinivas Danda; Ji Zhang 001; Xiaohui Tao 001; Jerry Chun-Wei Lin; Wenbin Zhang 002 (IEEE BigData, 2020)

A Data-driven Human Responsibility Management System. - Xuejiao Tang; Jiong Qiu; Ruijun Chen; Wenbin Zhang 002; Vasileios Iosifidis; Zhen Liu 017; Wei Meng; Mingli Zhang; Ji Zhang 001 (IEEE BigData, 2020)

Deep Discriminative Learning for Autism Spectrum Disorder Classification. - Mingli Zhang; Xin Zhao; Wenbin Zhang 002; Ahmad Chaddad; Alan C. Evans; Jean-Baptiste Poline (DEXA (1), 2020)

FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. - Wenbin Zhang 002; Albert Bifet (DS, 2020)

Predicting Workplace Injuries Using Machine Learning Algorithms. - Divya Sukumar; Ji Zhang 001; Xiaohui Tao 001; Xin Wang 030; Wenbin Zhang 002 (DSAA, 2020)

Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables. - Liming Zhang; Wenbin Zhang 002; Nathalie Japkowicz (ICPR, 2020)

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. - Wenbin Zhang 002; Mingli Zhang; Ji Zhang 001; Zhen Liu 017; Zhiyuan Chen 003; Jianwu Wang 001; Edward Raff; Enza Messina (ICTAI, 2020)

Online Decision Trees with Fairness. - Wenbin Zhang 002; Liang Zhao 002 (CoRR, 2020)

LSTM Based Sentiment Analysis for Cryptocurrency Prediction. - Xin Huang 005; Wenbin Zhang 002; Xuejiao Tang; Mingli Zhang; Jayachander Surbiryala; Vasileios Iosifidis; Zhen Liu 017; Ji Zhang 001 (DASFAA (3), 2021)

Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. - Xuejiao Tang; Xin Huang 005; Wenbin Zhang 002; Travers B. Child; Qiong Hu; Zhen Liu 017; Ji Zhang 001 (DaWaK, 2021)

An Effective Algorithm for Classification of Text with Weak Sequential Relationships. - Qiqiang Xu; Ji Zhang 001; Ting Yu 004; Wenbin Zhang 002; Mingli Zhang; Yonglong Luo; Fulong Chen 002; Zhen Liu 017 (DEXA (2), 2021)

AutoEncoder for Neuroimage. - Mingli Zhang; Fan Zhang 045; Jianxin Zhang 001; Ahmad Chaddad; Fenghua Guo; Wenbin Zhang 002; Ji Zhang 001; Alan C. Evans (DEXA (2), 2021)

Interpretable Visual Understanding with Cognitive Attention Network. - Xuejiao Tang; Wenbin Zhang 002; Yi Yu 001; Kea Turner; Tyler Derr; Mengyu Wang; Eirini Ntoutsi (ICANN (1), 2021)

Fair Decision-making Under Uncertainty. - Wenbin Zhang 002; Jeremy C. Weiss (ICDM, 2021)

An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis. - Zhen Liu 017; Ruoyu Wang 002; Wenbin Zhang 002; Deyu Tang (ICMLC, 2021)

A Generic Knowledge Based Medical Diagnosis Expert System. - Xin Huang 005; Xuejiao Tang; Wenbin Zhang 002; Ji Zhang 001; Mingli Zhang; Wensheng Gan; Shichao Pei; Zhen Liu 017; Yiyi Huang (iiWAS, 2021)

FARF: A Fair and Adaptive Random Forests Classifier. - Wenbin Zhang 002; Albert Bifet; Xiangliang Zhang 001; Jeremy C. Weiss; Wolfgang Nejdl (PAKDD (2), 2021)

Disentangled Dynamic Graph Deep Generation. - Wenbin Zhang 002; Liming Zhang; Dieter Pfoser; Liang Zhao 002 (SDM, 2021)

Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk. - Xuejian Wang; Wenbin Zhang 002; Aishwarya Jadhav; Jeremy C. Weiss (SPACA, 2021)

LSTM Based Sentiment Analysis for Cryptocurrency Prediction. - Xin Huang 005; Wenbin Zhang 002; Yiyi Huang; Xuejiao Tang; Mingli Zhang; Jayachander Surbiryala; Vasileios Iosifidis; Zhen Liu 017; Ji Zhang 001 (CoRR, 2021)

Online Fairness-Aware Learning with Imbalanced Data Streams. - Vasileios Iosifidis; Wenbin Zhang 002; Eirini Ntoutsi (CoRR, 2021)

A Generic Knowledge Based Medical Diagnosis Expert System. - Xin Huang 005; Xuejiao Tang; Wenbin Zhang 002; Shichao Pei; Ji Zhang 001; Wensheng Gan; Mingli Zhang; Zhen Liu 017; Ruijun Chen; Yiyi Huang (CoRR, 2021)

Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. - Zhen Liu 017; Ruoyu Wang 002; Nathalie Japkowicz; Deyu Tang; Wenbin Zhang 002; Jie Zhao 011 (Future Gener. Comput. Syst., 2021)

Longitudinal Fairness with Censorship. - Wenbin Zhang 002; Jeremy C. Weiss (AAAI, 2022)

Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences. - Thomas Guyet; Wenbin Zhang 002; Albert Bifet (ICCS (1), 2022)

Research on fine-tuning CNN for cancer diagnosis with gene expression data. - Zhen Liu 017; Ruoyu Wang 002; Jin Yang 004; Wenbin Zhang 002 (ICMLC, 2022)

Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence. - Thomas Guyet; Wenbin Zhang 002; Albert Bifet (CoRR, 2022)

Fairness Amidst Non-IID Graph Data: A Literature Review. - Wenbin Zhang 002; Jeremy C. Weiss; Shuigeng Zhou; Toby Walsh (CoRR, 2022)

Attention Mechanism based Cognition-level Scene Understanding. - Xuejiao Tang; Tai Le Quy; Eirini Ntoutsi; Kea Turner; Vasile Palade; Israat Haque 001; Peng Xu; Chris Brown; Wenbin Zhang 002 (CoRR, 2022)

Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis. - Zhen Liu 017; Ruoyu Wang 002; Wenbin Zhang 002 (Medical Biol. Eng. Comput., 2022)

A survey on datasets for fairness-aware machine learning. - Tai Le Quy; Arjun Roy 001; Vasileios Iosifidis; Wenbin Zhang 002; Eirini Ntoutsi (WIREs Data Mining Knowl. Discov., 2022)

Censored Fairness through Awareness. - Wenbin Zhang 002; Tina Hernandez-Boussard; Jeremy C. Weiss (AAAI, 2023)

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving. - Jun Liu 075; Chao Wu 006; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Houbing Herbert Song (AMC-SME, 2023)

DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. - Xin Huang 005; Chenxi Wang; Wenbin Zhang 002; Sanjay Purushotham; Jianwu Wang 001 (IEEE Big Data, 2023)

Rethinking Learning Rate Tuning in the Era of Large Language Models. - Hongpeng Jin; Wenqi Wei 001; Xuyu Wang; Wenbin Zhang 002; Yanzhao Wu 001 (CogMI, 2023)

Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record. - Xin Huang 005; Xiangyang Meng; Ni Zhao; Wenbin Zhang 002; Jianwu Wang 001 (DaWaK, 2023)

Individual Fairness Under Uncertainty. - Wenbin Zhang 002; Zichong Wang; Juyong Kim 002; Cheng Cheng 001; Thomas Oommen; Pradeep Ravikumar; Jeremy C. Weiss (ECAI, 2023)

Preventing Discriminatory Decision-making in Evolving Data Streams. - Zichong Wang; Nripsuta Saxena; Tongjia Yu; Sneha Karki; Tyler Zetty; Israat Haque 001; Shan Zhou; Dukka Kc; Ian Stockwell; Xuyu Wang; Albert Bifet; Wenbin Zhang 002 (FAccT, 2023)

Exploring Approaches for Teaching Cybersecurity and AI for K-12. - Yu Cai 002; Drew Youngstrom; Wenbin Zhang 002 (ICDM (Workshops), 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 075; Chong Siang Yew; Puqing Jiang; et al. (ICDM (Workshops), 2023)

Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. - Zichong Wang; Giri Narasimhan; Xin Yao; Wenbin Zhang 002 (ICDM, 2023)

FG2AN: Fairness-Aware Graph Generative Adversarial Networks. - Zichong Wang; Charles Wallace 001; Albert Bifet; Xin Yao; Wenbin Zhang 002 (ECML/PKDD (2), 2023)

Missed Opportunities in Fair AI. - Nripsuta Ani Saxena; Wenbin Zhang 002; Cyrus Shahabi (SDM, 2023)

Individual Fairness Guarantee in Learning with Censorship. - Wenbin Zhang 002; Juyong Kim 002; Zichong Wang; Pradeep Ravikumar; Jeremy C. Weiss (CoRR, 2023)

Preventing Discriminatory Decision-making in Evolving Data Streams. - Zichong Wang; Nripsuta Saxena; Tongjia Yu; Sneha Karki; Tyler Zetty; Israat Haque 001; Shan Zhou; Dukka Kc; Ian Stockwell; Albert Bifet; Wenbin Zhang 002 (CoRR, 2023)

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. - Zichong Wang; Yang Zhou 001; Meikang Qiu; Israat Haque 001; Laura Brown; Yi He 001; Jianwu Wang 001; David Lo 001; Wenbin Zhang 002 (CoRR, 2023)

Fairness with censorship and group constraints. - Wenbin Zhang 002; Jeremy C. Weiss (Knowl. Inf. Syst., 2023)

A Deep Neural Network-Based Communication Failure Prediction Scheme in 5G RAN. - Mohammad Ariful Islam; Hisham Siddique; Wenbin Zhang 002; Israat Haque 001 (IEEE Trans. Netw. Serv. Manag., 2023)

Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment. - Wenbin Zhang 002 (AAAI, 2024)

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. - Youpeng Li; Xinda Wang 001; Fuxun Yu; Lichao Sun 001; Wenbin Zhang 002; Xuyu Wang (ACSAC, 2024)

ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features. - Zhong Chen 003; Yi He 007; Di Wu 056; Liudong Zuo; Keren Li; Wenbin Zhang 002; Zhiqiang Deng (IEEE Big Data, 2024)

Fairness in Large Language Models in Three Hours. - Thang Viet Doan; Zichong Wang; Nhat Nguyen Minh Hoang; Wenbin Zhang 002 (CIKM, 2024)

Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice. - Eric Xu; Wenbin Zhang 002; Weifeng Xu (CIKM, 2024)

Effective Diversity Optimizations for High Accuracy Deep Ensembles. - Hongpeng Jin; Maryam Akhavan Aghdam; Sai Nath Chowdary Medikonduru; Wenqi Wei 001; Xuyu Wang; Wenbin Zhang 002; Yanzhao Wu 001 (CogMI, 2024)

On the Efficiency of Privacy Attacks in Federated Learning. - Nawrin Tabassum; Ka-Ho Chow; Xuyu Wang; Wenbin Zhang 002; Yanzhao Wu 001 (CVPR Workshops, 2024)

Group Fairness with Individual and Censorship Constraints. - Zichong Wang; Wenbin Zhang 002 (ECAI, 2024)

Individual Fairness with Group Constraints in Graph Neural Networks. - Zichong Wang; David Ulloa; Tongjia Yu; Raju Rangaswami; Roland Yap; Wenbin Zhang 002 (ECAI, 2024)

Accessible Health Screening Using Body Fat Estimation by Image Segmentation. - Zhipeng Yin; Sameeksha Agarwal; Ayesha Kashif; Matthew Gonzalez; Zichong Wang; Suqing Liu; Zhen Liu 017; Yanzhao Wu 001; Ian Stockwell; Weifeng Xu; Puqing Jiang; Xingyu Zhang; et al. (ICDM (Workshops), 2024)

Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking. - Zhipeng Yin; Zichong Wang; Wenbin Zhang 002 (ICSE Companion, 2024)

BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. - Saket S. Chaturvedi; Lan Zhang 005; Wenbin Zhang 002; Pan He; Xiaoyong Yuan (IJCAI, 2024)

Accelerating Sketch-based End-Host Traffic Measurement with Automatic DPU Offloading. - Xiang Chen 017; Xi Sun; Wenbin Zhang 002; Xin Yao; Zizheng Wang; Hongyan Liu 001; Qun Huang 001; Gaoning Pan; Xuan Liu 006; Haifeng Zhou; Chunming Wu 001 (INFOCOM, 2024)

Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. - Tianya Zhao; Ningning Wang; Yanzhao Wu 001; Wenbin Zhang 002; Xuyu Wang (INFOCOM (Workshops), 2024)

Advancing Graph Counterfactual Fairness Through Fair Representation Learning. - Zichong Wang; Zhibo Chu; Ronald Blanco; Zhong Chen 003; Shu-Ching Chen; Wenbin Zhang 002 (ECML/PKDD (7), 2024)

Individual Fairness with Group Awareness Under Uncertainty. - Zichong Wang; Jocelyn Dzuong; Xiaoyong Yuan; Zhong Chen 003; Yanzhao Wu 001; Xin Yao; Wenbin Zhang 002 (ECML/PKDD (5), 2024)

A Graph-Based Approach for Discovering Evidence Relationships Across Multiple Devices in Group Crimes. - Daniel Addai; Sarfraz Shaikh; Eric Xu; Wenbin Zhang 002; Weifeng Xu (QRS Companion, 2024)

AI fairness in practice: Paradigm, challenges, and prospects. - Wenbin Zhang 002 (AI Mag., 2024)

Two kinds of average approximation accuracy. - Qingzhao Kong; Wanting Wang; Dongxiao Zhang; Wenbin Zhang 002 (CAAI Trans. Intell. Technol., 2024)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT. - Azmain Kabir; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun Chen; Muhammad Asaduzzaman; Wenbin Zhang 002 (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 001; Min Yang 007; Wenbin Zhang 002 (CoRR, 2024)

Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research. - Nripsuta Ani Saxena; Wenbin Zhang 002; Cyrus Shahabi (CoRR, 2024)

Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI. - Jocelyn Dzuong; Zichong Wang; Wenbin Zhang 002 (CoRR, 2024)

Fairness Definitions in Language Models Explained. - Thang Viet Doan; Zhibo Chu; Zichong Wang; Wenbin Zhang 002 (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 002 (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 002 (CoRR, 2024)

Fairness in Large Language Models in Three Hours. - Thang Doan Viet; Zichong Wang; Minh Nhat Nguyen; Wenbin Zhang 002 (CoRR, 2024)

Brain Tumor Classification on MRI in Light of Molecular Markers. - Jun Liu 075; Geng Yuan; Weihao Zeng; Hao Tang 005; Wenbin Zhang 002; Xue Lin 001; Xiaolin Xu 001; Dong Huang; Yanzhi Wang (CoRR, 2024)

SeGDroid: An Android malware detection method based on sensitive function call graph learning. - Zhen Liu 017; Ruoyu Wang 002; Nathalie Japkowicz; Heitor Murilo Gomes; Bitao Peng; Wenbin Zhang 002 (Expert Syst. Appl., 2024)

Fairness in Large Language Models: A Taxonomic Survey. - Zhibo Chu; Zichong Wang; Wenbin Zhang 002 (SIGKDD Explor., 2024)

Toward Full-Coverage and Low-Overhead Profiling of Network-Stack Latency. - Xiang Chen 017; Hongyan Liu 001; Wenbin Zhang 002; Qun Huang 001; Dong Zhang 010; Haifeng Zhou; Xuan Liu 006; Chunming Wu 001 (IEEE/ACM Trans. Netw., 2024)

Resource-Efficient and Timely Packet Header Vector (PHV) Encoding on Programmable Switches. - Xiang Chen 017; Wenbin Zhang 002; Xi Sun; Hongyan Liu 001; Jianshan Zhang; Qun Huang 001; Dong Zhang 010; Haifeng Zhou; Xuan Liu 006; Chunming Wu 001 (IEEE/ACM Trans. Netw., 2024)

Toward fair graph neural networks via real counterfactual samples. - Zichong Wang; Meikang Qiu; Min Chen 003; Malek Ben Salem; Xin Yao; Wenbin Zhang 002 (Knowl. Inf. Syst., 2024)

Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models. - Xingyu Zhang; Yanshan Wang; Yun Jiang; Charissa B. Pacella; Wenbin Zhang 002 (BMC Medical Informatics Decis. Mak., 2024)

Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges. - Zichong Wang; Zhipeng Yin; Yuying Zhang; Liping Yang 002; Tingting Zhang; Niki Pissinou; Yu Cai 002; Shu Hu 001; Yun Li 005; Liang Zhao 002; Wenbin Zhang 002 (SIGKDD Explor., 2024)

FG-SMOTE: Towards Fair Node Classification with Graph Neural Network. - Zichong Wang; Zhipeng Yin; Yuying Zhang; Liping Yang 002; Tingting Zhang; Niki Pissinou; Yu Cai 002; Shu Hu 001; Yun Li 005; Liang Zhao 002; Wenbin Zhang 002 (SIGKDD Explor., 2024)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Changdi Yang; Xuan Shen; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang (AAAI, 2025)

Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness. - Zichong Wang; Zhibo Chu; Thang Viet Doan; Shaowei Wang 002; Yongkai Wu; Vasile Palade; Wenbin Zhang 002 (AAAI, 2025)

Towards Fair Graph Learning without Demographic Information. - Zichong Wang; Nhat Hoang; Xingyu Zhang; Kevin Bello; Xiangliang Zhang 001; Sundararaja Sitharama Iyengar; Wenbin Zhang 002 (AISTATS, 2025)

Phantom: Virtualizing Switch Register Resources for Accurate Sketch-based Network Measurement. - Xiang Chen 017; Hongyan Liu 001; Zhengyan Zhou; Xi Sun; Wenbin Zhang 002; Hongyang Du; Dong Zhang 010; Xuan Liu 006; Haifeng Zhou; Dusit Niyato; Qun Huang 001; Chunming Wu 001; et al. (EuroSys, 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang (ICASSP, 2025)

ℓ1, ∞ Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature Spaces. - Zhong Chen 003; Yi He 007; Di Wu 056; Wenbin Zhang 002; Zhiqiang Deng (SDM, 2025)

The neighborhood rough set based on division-mining-fusion strategy. - Conghao Yan; Qingzhao Kong; Wenbin Zhang 002 (Appl. Soft Comput., 2025)

LDCDroid: Learning data drift characteristics for handling the model aging problem in Android malware detection. - Zhen Liu 017; Ruoyu Wang 002; Bitao Peng; Lingyu Qiu; Qingqing Gan; Changji Wang; Wenbin Zhang 002 (Comput. Secur., 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

Unveiling and mitigating bias in ride-hailing pricing for equitable policy making. - Nripsuta Ani Saxena; Wenbin Zhang 002; Cyrus Shahabi (AI Ethics, 2025)

Digital Forensics in the Age of Large Language Models. - Zhipeng Yin; Zichong Wang; Weifeng Xu; Jun Zhuang; Pallab Mozumder; Antoinette Smith; Wenbin Zhang 002 (CoRR, 2025)

Forecasting leading economic indicators in the US from financial news using multi-task learning. - Josh Jia-Ching Ying; Chia-Chen Liu; Vincent S. Tseng; Wenbin Zhang 002; Ji Zhang 001 (Soft Comput., 2025)

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Weihao Zeng; Hao Tang 005; Xuan Shen; Changdi Yang; Wenbin Zhang 002; Geng Yuan; Wei Niu 002; Xue Lin 001; Yanzhi Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Structured Agent Distillation for Large Language Model. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Tianqi Li; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

Preserving AUC Fairness in Learning with Noisy Protected Groups. - Mingyang Wu; Li Lin; Wenbin Zhang 002; Xin Wang 030; Zhenhuan Yang; Shu Hu 001 (CoRR, 2025)

Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation. - Jun Zhuang; Hai Jin 001; Ye Zhang; Zhengjian Kang; Wenbin Zhang 002; Gaby G. Dagher; Haohan Wang (CoRR, 2025)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs. - Azmain Kabir; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun (Peter) Chen; Muhammad Asaduzzaman; Wenbin Zhang 002 (ACM Trans. Softw. Eng. Methodol., 2025)

History, development, and principles of large language models: an introductory survey. - Zichong Wang; Zhibo Chu; Thang Viet Doan; Shiwen Ni; Min Yang 007; Wenbin Zhang 002 (AI Ethics, 2025)

Towards Transparent AI: A Survey on Explainable Large Language Models. - Avash Palikhe; Zhenyu Yu; Zichong Wang; Wenbin Zhang 002 (CoRR, 2025)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory. - Jun Liu 075; Zhenglun Kong; Changdi Yang; Fan Yang; Tianqi Li; Peiyan Dong; Joannah Nanjekye; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; et al. (CoRR, 2025)