A fuzzy clustering algorithm based on evolutionary programming. - Hongbin Dong; Yuxin Dong; Cheng Zhou; Guisheng Yin; Wei Hou (Expert Syst. Appl., 2009)

Web Services Evaluation Predication Model based on Time Utility. - Guisheng Yin; Xiaohui Cui; Yuxin Dong; Jianguo Zhang (J. Softw., 2012)

Web Service Evaluation Method Based on Time-aware Collaborative Filtering. - Guisheng Yin; Xiaohui Cui; Hongbin Dong; Yuxin Dong (IDEAL, 2013)

Wright-Fisher multi-strategy trust evolution model with white noise for Internetware. - Guisheng Yin; Yingjie Wang 002; Yuxin Dong; Hongbin Dong (Expert Syst. Appl., 2013)

A co-evolutionary algorithm based on mixed mutation strategy for WDP in combinatorial auction. - Wei Hou; Hongbin Dong; Guisheng Yin; Yuxin Dong (CEC, 2015)

A trust-based probabilistic recommendation model for social networks. - Yingjie Wang 002; Guisheng Yin; Zhipeng Cai 001; Yuxin Dong; Hongbin Dong (J. Netw. Comput. Appl., 2015)

An improved partheno-genetic algorithm for the multi-constrained problem of curling match arrangement. - Rui Ding 008; Hongbin Dong; Jun He 004; Yuxin Dong (CEC, 2016)

A Personalized Recommendation Algorithm with User Trust in Social Network. - Yuxin Dong; Chunhui Zhao; Weijie Cheng; Liang Li; Lin Liu (ICYCSEE (1), 2016)

OpenHI2 - Open source histopathological image platform. - Pargorn Puttapirat; Chen Li 011; Haichuan Zhang 001; Jingyi Deng; Yuxin Dong; Jiangbo Shi; Hongyu He; Zeyu Gao 001; Chunbao Wang 002; Xiangrong Zhang (BIBM, 2019)

Integrity Evolutionary Model with Stochastic Disturbance based on Evolutionary Game. - Yuxin Dong; Shuyun Fang; Fukun Chen (ICMSS, 2019)

OpenHI: open platform for histopathological image annotation. - Pargorn Puttapirat; Haichuan Zhang 001; Jingyi Deng; Yuxin Dong; Jiangbo Shi; Peiliang Lou; Chunbao Wang 002; Lixia Yao; Xiangrong Zhang; Chen Li 011 (Int. J. Data Min. Bioinform., 2019)

Link prediction in dynamic networks based on the attraction force between nodes. - Kuo Chi; Guisheng Yin; Yuxin Dong; Hongbin Dong (Knowl. Based Syst., 2019)

Corrigendum to "Link prediction in dynamic networks based on the attraction force between nodes" [Knowl.-Based Syst. 181 (2019) 104792]. - Kuo Chi; Guisheng Yin; Yuxin Dong; Hongbin Dong (Knowl. Based Syst., 2019)

A representation model for biological entities by fusing structured axioms with unstructured texts. - Peiliang Lou; Yuxin Dong; Antonio Jimeno-Yepes; Chen Li 011 (Bioinform., 2021)

Computationally Efficient Approximations for Matrix-based Renyi's Entropy. - Tieliang Gong; Yuxin Dong; Shujian Yu; Hong Chen 004; Bo Dong 001; Chen Li 011; Qinghua Zheng (CoRR, 2021)

Ship Object Detection of Remote Sensing Image Based on Visual Attention. - Yuxin Dong; Fukun Chen; Shuang Han; Hao Liu (Remote. Sens., 2021)

Early Labeled and Small Loss Selection Semi-Supervised Learning Method for Remote Sensing Image Scene Classification. - Ye Tian 027; Yuxin Dong; Guisheng Yin (Remote. Sens., 2021)

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. - Tieliang Gong; Yuxin Dong; Hong Chen 004; Wei Feng 010; Bo Dong 001; Chen Li 011 (AAAI, 2022)

Knowledge-aware recommendation model with dynamic co-attention and attribute regularize. - Guisheng Yin; Fukun Chen; Yuxin Dong; Gesu Li (Appl. Intell., 2022)

Attentive convolutional neural network with the representation of document and sentence for rating prediction. - Guisheng Yin; Fukun Chen; Yuxin Dong; Gesu Li (Appl. Intell., 2022)

Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. - Tieliang Gong; Yuxin Dong; Shujian Yu; Bo Dong 001 (IEEE Trans. Signal Process., 2022)

Consistency regularization teacher-student semi-supervised learning method for target recognition in SAR images. - Ye Tian 027; Liguo Zhang; Jianguo Sun; Guisheng Yin; Yuxin Dong (Vis. Comput., 2022)

Multi-view Subspace Clustering via Two Dimensional Structures Preservation on Heterogeneous Features. - Jinyong Chen; Yuxin Dong; Kang Sun (Mob. Networks Appl., 2022)

Multi-view Robust Discriminative Feature Learning for Remote Sensing Image with Noisy Labels. - Jinyong Chen; Guisheng Yin; Kang Sun; Yuxin Dong (Mob. Networks Appl., 2022)

Robust and Fast Measure of Information via Low-Rank Representation. - Yuxin Dong; Tieliang Gong; Shujian Yu; Hong Chen 004; Chen Li 011 (AAAI, 2023)

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Chen Li 011 (IJCAI, 2023)

Contrastive Learning with Frequency-Domain Interest Trends for Sequential Recommendation. - Yichi Zhang; Guisheng Yin; Yuxin Dong (RecSys, 2023)

Dual Attention and Patient Similarity Network for drug recommendation. - Jialun Wu; Yuxin Dong; Zeyu Gao 001; Tieliang Gong; Chen Li 011 (Bioinform., 2023)

Multi-Year Crop Type Mapping Using Sentinel-2 Imagery and Deep Semantic Segmentation Algorithm in the Hetao Irrigation District in China. - Guang Li 005; Wenting Han; Yuxin Dong; Xuedong Zhai; Shenjin Huang; Weitong Ma; Xin Cui; Yi Wang (Remote. Sens., 2023)

KHGCN: Knowledge-Enhanced Recommendation with Hierarchical Graph Capsule Network. - Fukun Chen; Guisheng Yin; Yuxin Dong; Gesu Li; Weiqi Zhang (Entropy, 2023)

Teaching Quality Monitoring and Evaluation in Higher Education through a Big Data Analysis. - Yuxin Dong (Int. J. Emerg. Technol. Learn., 2023)

Applying correlation analysis to electrode optimization in source domain. - Yuxin Dong; Linlin Wang; Mingai Li (Medical Biol. Eng. Comput., 2023)

Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. - Yuxin Dong; Tieliang Gong; Shujian Yu; Chen Li 011 (IEEE Trans. Inf. Theory, 2023)

Contrastive Learning with Frequency Domain for Sequential Recommendation. - Yichi Zhang; Guisheng Yin; Yuxin Dong; Liguo Zhang (Appl. Soft Comput., 2023)

Estimating and Mapping Soil Salinity in Multiple Vegetation Cover Periods by Using Unmanned Aerial Vehicle Remote Sensing. - Xin Cui; Wenting Han; Yuxin Dong; Xuedong Zhai; Weitong Ma; Liyuan Zhang; Shenjin Huang (Remote. Sens., 2023)

Polyp Segmentation Achieved Through Multi-Scale Feature Fusion Based on Attention Mechanism. - Mingze Xia; Liguo Zhang; Guisheng Yin; Yuxin Dong (BESC, 2024)

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Shujian Yu; Chen Li 011 (ICLR, 2024)

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Zhongjiang He; Mengxiang Li; Shuangyong Song; Chen Li 011 (ICML, 2024)

DP-Font: Chinese Calligraphy Font Generation Using Diffusion Model and Physical Information Neural Network. - Liguo Zhang; Yalong Zhu; Achref Benarab; Yusen Ma; Yuxin Dong; Jianguo Sun (IJCAI, 2024)

Parallel Correlation Attention Modules are Used for Feature Extraction and Fusion to Achieve Accurate Target Segmentation. - Mingze Xia; Liguo Zhang; Guisheng Yin; Yuxin Dong (MSN, 2024)

Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks. - Yuxin Dong; Jianhua Yao 008; Jiajing Wang; Yingbin Liang; Shuhan Liao; Minheng Xiao (CoRR, 2024)

Automated Genre-Aware Article Scoring and Feedback Using Large Language Models. - Chihang Wang; Yuxin Dong; Zhenhong Zhang; Ruotong Wang 009; Shuo Wang; Jiajing Chen (CoRR, 2024)

Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation. - Yuxin Dong; Shuo Wang; Hongye Zheng; Jiajing Chen; Zhenhong Zhang; Chihang Wang (CoRR, 2024)

Stock Type Prediction Model Based on Hierarchical Graph Neural Network. - Jianhua Yao 008; Yuxin Dong; Jiajing Wang; Bingxing Wang; Hongye Zheng; Honglin Qin (CoRR, 2024)

Markov Subsampling Based on Huber Criterion. - Tieliang Gong; Yuxin Dong; Hong Chen 004; Bo Dong 001; Chen Li 011 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Soil salinity estimation incorporating environmental covariables using UAV remote sensing for precision field management. - Weitong Ma; Wenting Han; Xin Cui; Huihui Zhang 001; Liyuan Zhang; Yuxin Dong; Xuedong Zhai (Comput. Electron. Agric., 2025)

Towards Sharper Information-theoretic Generalization Bounds for Meta-Learning. - Wen Wen; Tieliang Gong; Yuxin Dong; Yong-Jin Liu; Weizhan Zhang (CoRR, 2025)

Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis. - Wen Wen; Tieliang Gong; Yuxin Dong; Shujian Yu; Weizhan Zhang (CoRR, 2025)

Phantom Events: Demystifying the Issues of Log Forgery in Blockchain. - Yixuan Liu; Yuxin Dong; Ye Liu; Xiapu Luo; Yi Li (CoRR, 2025)

Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Chen Li 011 (IEEE Trans. Neural Networks Learn. Syst., 2025)

How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis. - Yuxin Dong; Tieliang Gong; Hong Chen 004; Shuangyong Song; Weizhan Zhang; Chen Li 011 (IEEE Trans. Inf. Theory, 2025)

Dynamic fusion of multi-source heterogeneous data using MOE mechanism for stock prediction. - Yuxin Dong; Zirui Wu; Yongtao Hao (Appl. Intell., 2025)

From Compression to Expansion: A Layerwise Analysis of In-Context Learning. - Jiachen Jiang; Yuxin Dong; Jinxin Zhou; Zhihui Zhu (CoRR, 2025)

Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations. - Yuxin Dong; Jiachen Jiang; Zhihui Zhu; Xia Ning (CoRR, 2025)