The RTOC Open System for Controlling Fictitious Roaming Platform. - Hua Xu; Yiming Cao; Zehong Yang; Peifa Jia; Xuegong Zhang (ROBIO, 2004)

Regression Testing Process Improvement for Specification Evolution of Real-World Protocol Software. - Bo Jiang 001; T. H. Tse; Wolfgang Grieskamp; Nicolas Kicillof; Yiming Cao; Xiang Li (QSIC, 2010)

Assuring the model evolution of protocol software specifications by regression testing process improvement. - Bo Jiang 001; T. H. Tse; Wolfgang Grieskamp; Nicolas Kicillof; Yiming Cao; Xiang Li; W. K. Chan 001 (Softw. Pract. Exp., 2011)

A mode filtering algorithm for accelerating HEVC FME. - Yiming Cao; Satoshi Goto (MMSP, 2013)

Scalable news recommendation using multi-dimensional similarity and Jaccard-Kmeans clustering. - Meilian Lu; Zhen Qin; Yiming Cao; Zhichao Liu; Mengxing Wang (J. Syst. Softw., 2014)

Performance analysis and simulation verification of S-MAC for wireless sensor networks. - Yuan Rao 003; Yiming Cao; Cheng Deng; Zhao-Hui Jiang; Jun Zhu; Lei-yang Fu; Ruchuan Wang 001 (Comput. Electr. Eng., 2016)

Empirical Study on Assessment Algorithms with Confidence in Crowdsourcing. - Yiming Cao; Lei Liu 003; Lizhen Cui; Qingzhong Li (ICCSE, 2017)

Spatial Crowdsourcing Task Assignment Based on the Quality of Workers. - Yun Jiang; Lizhen Cui; Yiming Cao; Lei Liu 003; Wei He 020; Li Pan 001; Yongqing Zheng; Qingzhong Li (ICCSE, 2018)

Received Signal Strength Based Indoor Localization using ISODATA and MK-ELM Technique. - Yiming Cao; Jun Yan (UPINLBS, 2018)

Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph. - Yiming Cao; Lizhen Cui; Wei He 020 (DASFAA (3), 2019)

A method of multimedia teaching evaluation based on fuzzy linguistic concept lattice. - Pengsen Liu; Hui Cui; Yiming Cao; Xuehui Hou; Li Zou (Multim. Tools Appl., 2019)

Interactive Mixed Reality Cooking Assistant for Unskilled Operating Scenario. - Keyu Zhai; Yiming Cao; Wenjun Hou; Xueming Li (HCI (11), 2020)

Approach for group decision making based on linguistic truth-valued intuitionistic fuzzy lattice. - Hongyue Diao; Yiming Cao; Yingying Xu; Li Zou; Ansheng Deng (J. Intell. Fuzzy Syst., 2020)

KGWE: A Knowledge-guided Word Embedding Fine-tuning Model. - Kong Wei Kun; Teeradaj Racharak; Yiming Cao; Peng Cheng; Minh Le Nguyen 001 (ICTAI, 2021)

KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Zhen Li 049; Yonghui Xu; Chunyan Miao (BIBM, 2022)

Feature-Guided Logical Perception Network for Health Risk Prediction. - Fuqiang Yu; Lizhen Cui; Yiming Cao; Fanglin Zhu; Yonghui Xu; Ning Liu 014 (BIBM, 2022)

KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. - Yiming Cao; Lizhen Cui; Fuqiang Yu; Lei Zhang 199; Zhen Li 049; Ning Liu 014; Yonghui Xu (DASFAA (3), 2022)

Similarity-Aware Collaborative Learning for Patient Outcome Prediction. - Fuqiang Yu; Lizhen Cui; Yiming Cao; Ning Liu 014; Weiming Huang 001; Yonghui Xu (DASFAA (2), 2022)

Learning Cross-modal Representations with Multi-relations for Image Captioning. - Peng Cheng; Tung Le; Teeradaj Racharak; Yiming Cao; Weikun Kong; Minh Le Nguyen 001 (ICPRAM, 2022)

A Creeping Snake-like Robot with Partial Actuation. - Yiming Cao; Longchuan Li; Shugen Ma (IROS, 2022)

Embodying Rather Than Encoding: Undulation with Binary Input. - Longchuan Li; Shugen Ma; Isao T. Tokuda; Yang Tian; Yiming Cao; Makoto Nokata; Zhiqing Li (IROS, 2022)

A Study of the Influencing Factors of Higher Vocational College Students' Entrepreneurial Intention. - Yiming Cao (ITQM, 2022)

MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Zhen Li 049; Yonghui Xu (AAAI, 2023)

CMT: Cross-modal Memory Transformer for Medical Image Report Generation. - Yiming Cao; Lizhen Cui; Lei Zhang 199; Fuqiang Yu; Ziheng Cheng; Zhen Li 049; Yonghui Xu; Chunyan Miao (DASFAA (3), 2023)

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. - Lei Zhang 199; Mingliang Wang; Xin Zhou 008; Xingyu Wu; Yiming Cao; Yonghui Xu; Lizhen Cui; Zhiqi Shen 001 (DASFAA (4), 2023)

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. - Lei Zhang 199; Xin Zhou 008; Zhiwei Zeng; Yiming Cao; Yonghui Xu; Mingliang Wang; Xingyu Wu; Yong Liu 020; Lizhen Cui; Zhiqi Shen 001 (ICDE, 2023)

Automatic Feature Fairness in Recommendation via Adversaries. - Hengchang Hu; Yiming Cao; Zhankui He; Samson Tan; Min-Yen Kan (SIGIR-AP, 2023)

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. - Fuqiang Yu; Lizhen Cui; Huanhuan Chen; Yiming Cao; Ning Liu 014; Weiming Huang 001; Yonghui Xu; Hua Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Locomotion Analysis of a Modular Underactuated Snake-like Robot. - Zhenxuan Ma; Jun Zhang; Yiming Cao; Zaiyang Liu; Yang Tian; Longchuan Li; Shugen Ma; Zhongkui Wang (RCAR, 2024)

Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing. - Tao Bai; Yiming Cao; Yonghao Xu; Bihan Wen (IEEE Trans. Geosci. Remote. Sens., 2024)

Estimating package arrival time via heterogeneous hypergraph neural network. - Lei Zhang 199; Xingyu Wu; Yong Liu 020; Xin Zhou 008; Yiming Cao; Yonghui Xu; Lizhen Cui; Chunyan Miao (Expert Syst. Appl., 2024)

Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network. - Lei Zhang 199; Yong Liu 020; Zhiwei Zeng; Yiming Cao; Xingyu Wu; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (ACM Trans. Knowl. Discov. Data, 2024)

Review of Hyperspectral Image Classification Based on Deep Learning. - Yujuan Liu; Aoxing Hao; Yanda Liu; Chunyu Liu; Zhiyong Zhang; Yiming Cao (Int. J. Pattern Recognit. Artif. Intell., 2024)

Adaptive Human-LLMs Interaction Collaboration: Reinforcement Learning driven Vision-Language Models for Medical Report Generation. - Yiming Cao; Zhen Li 049; Lizhen Cui; Chunyan Miao (CHI Extended Abstracts, 2025)

Knowledge-Guided Cross-Modal Alignment and Progressive Fusion for Chest X-Ray Report Generation. - Lili Huang; Yiming Cao; Pengcheng Jia; Chenglong Li 002; Jin Tang 001; Chuanfu Li (IEEE Trans. Multim., 2025)

Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models. - Prasanta Bhattacharya; Hong Zhang; Yiming Cao; Wei Gao 001; Brandon Siyuan Loh; Joseph J. P. Simons; Liang Ze Wong (CoRR, 2025)

Examining Chinese preservice mathematics teachers' adoption of AI chatbots for learning: Unpacking perspectives through the UTAUT2 model. - Tommy Tanu Wijaya; Mingyu Su; Yiming Cao; Robert Weinhandl; Tony Houghton (Educ. Inf. Technol., 2025)

PortLaneNet: Enhancing Port RTG Lane Detection With Explicit Feature Learning Network. - Jinwei Zhang; Jinya Su; Jun Yang 011; Junming Hong; Yiming Cao (IEEE Trans. Ind. Informatics, 2025)

Underwater object detection in sonar imagery with detection transformer and Zero-shot neural architecture search. - XiaoTong Gu; Shengyu Tang; Yiming Cao; Changdong Yu (CoRR, 2025)

Enhancing Targeted Adversarial Attacks on Large Vision-Language Models through Intermediate Projector Guidance. - Yiming Cao; Yanjie Li; Kaisheng Liang; Yuni Lai; Bin Xiao (CoRR, 2025)

The Impact of Digital Mathematics Textbooks on Teacher-Student Interaction: Evidence from Behavioral Sequence Analysis. - Tommy Tanu Wijaya; Yiming Cao; Xinxin Li (Int. J. Hum. Comput. Interact., 2025)