A Bidirectional Hierarchical Skip-Gram model for text topic embedding. - Suncong Zheng; Hongyun Bao; Jiaming Xu 001; Yuexing Hao; Zhenyu Qi 003; Hongwei Hao (IJCNN, 2016)

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme. - Suncong Zheng; Feng Wang 023; Hongyun Bao; Yuexing Hao; Peng Zhou 009; Bo Xu 002 (ACL (1), 2017)

Joint entity and relation extraction based on a hybrid neural network. - Suncong Zheng; Yuexing Hao; Dongyuan Lu; Hongyun Bao; Jiaming Xu 001; Hongwei Hao; Bo Xu 002 (Neurocomputing, 2017)

TAG : Type Auxiliary Guiding for Code Comment Generation. - Ruichu Cai; Zhihao Liang; Boyan Xu; Zijian Li 001; Yuexing Hao; Yao Chen 008 (ACL, 2020)

Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. - Ruichu Cai; Xuexin Chen; Yuan Fang 001; Min Wu 008; Yuexing Hao; Jonathan D. Wren (Bioinform., 2020)

Single image rain removal with reusing original input squeeze-and-excitation network. - Meihua Wang; Lunbao Chen; Yun Liang 003; Yuexing Hao; Haijun He; Chao Li (IET Image Process., 2020)

Dynamic Strategies and Opponent Hands Estimation for Reinforcement Learning in Gin Rummy Game. - Yuexing Hao; Mark Vaysiberg (IntelliSys (1), 2021)

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. - Zijian Li 001; Ruichu Cai; Fengzhu Wu; Sili Zhang; Hao Gu; Yuexing Hao; Yuguang (CoRR, 2021)

Implementation of Lightweight Convolutional Neural Networks via Layer-Wise Differentiable Compression. - Huabin Diao; Yuexing Hao; Shaoyun Xu; Gongyan Li (Sensors, 2021)

Association rule analysis for fetal heart rate pattern of late FGR. - Liyan Zhong; Shiyao Huang; Xia Li 008; Guiqing Liu; Qinqun Chen; Xiaomu Luo; Yuexing Hao; Jiaming Hong; Hang Wei 001 (BIBM, 2022)

PA-NAS: Partial operation activation for memory-efficient architecture search. - Huabin Diao; Gongyan Li; Shaoyun Xu; Yuexing Hao (Appl. Intell., 2022)

Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units. - Yue Fei; Fan Chen; Lifang He 001; Jiamin Chen; Yuexing Hao; Xia Li 008; Guiqing Liu; Qinqun Chen; Li Li; Hang Wei 001 (Biomed. Signal Process. Control., 2022)

REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. - Ruichu Cai; Fengzhu Wu; Zijian Li 001; Jie Qiao; Wei Chen 103; Yuexing Hao; Hao Gu (CoRR, 2022)

Attention Round for Post-Training Quantization. - Huabin Diao; Gongyan Li; Shaoyun Xu; Yuexing Hao (CoRR, 2022)

Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems. - Qian Yang 004; Yuexing Hao; Kexin Quan; Stephen Yang; Yiran Zhao 002; Volodymyr Kuleshov; Fei Wang 001 (CHI, 2023)

An Exploratory Study of Shared Decision-Making (SDM) for Older Adult Patients with Chronic Diseases. - Yuexing Hao; Zeyu Liu; Monika Safford; Rulla Tamimi; Saleh Kalantari (CSCW Companion, 2023)

EBNAS: Efficient binary network design for image classification via neural architecture search. - Chaokun Shi; Yuexing Hao; Gongyan Li; Shaoyun Xu (Eng. Appl. Artif. Intell., 2023)

VNGEP: Filter pruning based on von Neumann graph entropy. - Chaokun Shi; Yuexing Hao; Gongyan Li; Shaoyun Xu (Neurocomputing, 2023)

CoG-Trans: coupled graph convolutional transformer for multi-label classification of cherry defects. - Meiling Lin; Gongyan Li; Yuexing Hao; Shaoyun Xu (Neural Comput. Appl., 2023)

Intelligent antepartum fetal monitoring via deep learning and fusion of cardiotocographic signals and clinical data. - Zhen Cao; Guoqiang Wang; Ling Xu; Chaowei Li; Yuexing Hao; Qinqun Chen; Xia Li 008; Guiqing Liu; Hang Wei 001 (Health Inf. Sci. Syst., 2023)

A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability. - Junyuan Feng; Jincheng Liang; Zihan Qiang; Yuexing Hao; Xia Li 008; Li Li; Qinqun Chen; Guiqing Liu; Hang Wei 001 (BMC Medical Informatics Decis. Mak., 2023)

Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract). - Aarushi Gupta; Yuexing Hao; Yuting Yang; Tiancheng Yuan; Matthias Wieland 004; Parminder S. Basran; Ken Birman (AAAI, 2024)

Advancing Patient-Centered Shared Decision-Making with AI Systems for Older Adult Cancer Patients. - Yuexing Hao; Zeyu Liu; Robert N. Riter; Saleh Kalantari (CHI, 2024)

Optimization Strategy for MAPF Problem with Traffic Rule-based CBS Algorithm in Warehouses. - Yang Wang 138; Shaoyun Xu; Yingxue Ma; Yuexing Hao; Yanbo Qu; Yuhui Sun; Shu Zhang (CIIS, 2024)

Outcome First or Overview First? Optimizing Patient-Oriented Framework for Evidence-Based Healthcare Treatment Selections with XAI Tools. - Yuexing Hao (CSCW Companion, 2024)

The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals. - Yuexing Hao; Corinna E. Löckenhoff; Harry Lee; Jessica Zwerling; Saleh Kalantari (CSCW Companion, 2024)

DANNMCTG: Domain-Adversarial Training of Neural Network for multicenter antenatal cardiotocography signal classification. - Li Chen; Yue Fei; Bin Quan; Yuexing Hao; Qinqun Chen; Guiqing Liu; Xiaomu Luo; Li Li; Hang Wei 001 (Biomed. Signal Process. Control., 2024)

Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams. - Yuexing Hao; Jason M. Holmes; Jared Hobson; Alexandra Bennett; Daniel K. Ebner; David M. Routman; Satomi Shiraishi; Samir H. Patel; Nathan Y. Yu; Chris L. Hallemeier; Brooke E. Ball; Mark R. Waddle; et al. (CoRR, 2024)

Outlining the Borders for LLM Applications in Patient Education: Developing an Expert-in-the-Loop LLM-Powered Chatbot for Prostate Cancer Patient Education. - Yuexing Hao; Jason Holmes; Mark R. Waddle; Nathan Yu; Kirstin Vickers; Heather Preston; Drew Margolin; Corinna E. Löckenhoff; Aditya Vashistha; Marzyeh Ghassemi; Saleh Kalantari; Wei Liu (CoRR, 2024)

AI-Based Teat Shape and Skin Condition Prediction for Dairy Management. - Yuexing Hao; Tiancheng Yuan; Yuting Yang; Aarushi Gupta; Matthias Wieland 004; Ken Birman; Parminder S. Basran (CoRR, 2024)

Bridging local and global representations for self-supervised monocular depth estimation. - Meiling Lin; Gongyan Li; Yuexing Hao (Eng. Appl. Artif. Intell., 2024)

Knowledge distillation via Noisy Feature Reconstruction. - Chaokun Shi; Yuexing Hao; Gongyan Li; Shaoyun Xu (Expert Syst. Appl., 2024)

Decoupling foreground and background with Siamese ViT networks for weakly-supervised semantic segmentation. - Meiling Lin; Gongyan Li; Shaoyun Xu; Yuexing Hao; Shu Zhang (Neurocomputing, 2024)

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. - Zijian Li 001; Ruichu Cai; Fengzhu Wu; Sili Zhang; Hao Gu; Yuexing Hao; Yuguang Yan (IEEE Trans. Neural Networks Learn. Syst., 2024)

HUG Smart Sticker: Enhancing Personalized Intelligent Medication Management for Community-Dwelling Older Adults with an AIoT Intervention. - Yuexing Hao (CHI Extended Abstracts, 2025)

Large language model integrations in cancer decision-making: a systematic review and meta-analysis. - Yuexing Hao; Zhiwen Qiu; Jason Holmes; Corinna E. Löckenhoff; Wei Liu; Marzyeh Ghassemi; Saleh Kalantari (npj Digit. Medicine, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models. - Xiaomin Li; Mingye Gao; Yuexing Hao; Taoran Li; Guangya Wan; Zihan Wang; Yijun Wang (CoRR, 2025)

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering. - Yuexing Hao; Kumail Alhamoud; Hyewon Jeong; Haoran Zhang 003; Isha Puri; Philip Torr 001; Mike Schaekermann; Ariel D. Stern; Marzyeh Ghassemi (CoRR, 2025)

The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making. - Abinitha Gourabathina; Yuexing Hao; Walter Gerych; Marzyeh Ghassemi (CoRR, 2025)