A novel self-optimizing approach for knowledge acquisition. - Dan Pan 001; Qi Lun Zheng; An Zeng; Jin-Song Hu (IEEE Trans. Syst. Man Cybern. Part A, 2002)

An approach for generalizing knowledge based on rules with priority orders. - An Zeng; Qilun Zheng; Dan Pan 001; Hong Peng (IJCNN, 2004)

A practical strategy for acquiring rules based on rough sets and principal component analysis. - An Zeng; Qi Lun Zheng; Dan Pan 001; Hong Peng (SMC (4), 2004)

Prediction of MHC class II-binding peptides based on sequential learning. - An Zeng; Qi Lun Zheng; Dan Pan 001; Hong Peng (SMC (4), 2004)

Utilizing modular neural networks to predict MHC class II-binding peptides. - An Zeng; Qi Lun Zheng; Dan Pan 001; Hong Peng (SMC (5), 2004)

A Rule Sets Ensemble for Predicting MHC II-Binding Peptides. - An Zeng; Dan Pan 001; Jian-bin He; Qi Lun Zheng; Yongquan Yu (IEA/AIE, 2006)

Knowledge Acquisition Based on Rough Set Theory and Principal Component Analysis. - An Zeng; Dan Pan 001; Qi Lun Zheng; Hong Peng (IEEE Intell. Syst., 2006)

Rule Induction for Prediction of MHC II-Binding Peptides. - An Zeng; Dan Pan 001; Yongquan Yu; Bi Zeng (RSKT, 2007)

Prediction of MHC II-binding peptides using rough set-based rule sets ensemble. - An Zeng; Dan Pan 001; Jian-bin He (Appl. Intell., 2007)

Features of Hodgkin-Huxley Neuron Response to Periodic Spike-Train Inputs. - An Zeng; Yan Liu 007; Liujun Chen (ISNN (1), 2009)

Efficient Topology-aware Coarse Graining for Synchronization in Directed Networks - An Zeng; Linyuan Lu (CoRR, 2010)

Enhancing synchronization by directionality in complex networks - An Zeng; Seung-Woo Son 003; Chi Ho Yeung; Ying Fan 001; Zengru Di (CoRR, 2010)

A Global Unsupervised Data Discretization Algorithm Based on Collective Correlation Coefficient. - An Zeng; Qi-Gang Gao; Dan Pan 001 (IEA/AIE (1), 2011)

Reconstructing directed networks for better synchronization - An Zeng; Linyuan Lu; Tao Zhou 001 (CoRR, 2011)

Behavior patterns of online users and the effect on information filtering - Cheng-Jun Zhang; An Zeng (CoRR, 2011)

Enhancing synchronization in growing networks - Y. Wang; An Zeng; Zengru Di; Ying Fan 001 (CoRR, 2011)

Removing spurious interactions in complex networks - An Zeng; Giulio Cimini (CoRR, 2011)

Degree heterogeneity in spatial networks with total cost constraint - Weiping Liu; An Zeng; Yanbo Zhou (CoRR, 2011)

Recommendation of Leaders in Online Social Systems. - Hao Liu; Fei Yu; An Zeng; Linyuan Lü (ISMIS, 2012)

Enhancing network robustness for malicious attacks - An Zeng; Weiping Liu (CoRR, 2012)

Ranking spreaders by decomposing complex networks - An Zeng; Cheng-Jun Zhang (CoRR, 2012)

Improving information filtering via network manipulation - Fuguo Zhang; An Zeng (CoRR, 2012)

Adaptive social recommendation in a multiple category landscape - Duanbing Chen; An Zeng; Giulio Cimini; Yi-Cheng Zhang (CoRR, 2012)

The Role of Taste Affinity in Agent-Based Models for Social Recommendation. - Giulio Cimini; An Zeng; Matús Medo; Duanbing Chen (Adv. Complex Syst., 2013)

Trend Prediction in Temporal bipartite Networks: the Case of MovieLens, Netflix, and Digg. - An Zeng; Stanislao Gualdi; Matús Medo; Yi-Cheng Zhang (Adv. Complex Syst., 2013)

Path diversity improves the identification of influential spreaders. - Duanbing Chen; Rui Xiao; An Zeng; Yi-Cheng Zhang (CoRR, 2013)

Inferring network topology via the propagation process. - An Zeng (CoRR, 2013)

Information filtering via hybridization of similarity preferential diffusion processes. - An Zeng; Alexandre Vidmer; Matús Medo; Yi-Cheng Zhang (CoRR, 2013)

Membership in social networks and the application in information filtering. - Wei Zeng 013; An Zeng; Ming-Sheng Shang 001; Yi-Cheng Zhang (CoRR, 2013)

Information filtering in sparse online systems: recommendation via semi-local diffusion. - Wei Zeng 013; An Zeng; Ming-Sheng Shang 001; Yi-Cheng Zhang (CoRR, 2013)

Extracting the information backbone in online system - Qian-Ming Zhang; An Zeng; Ming-Sheng Shang 001 (CoRR, 2013)

Applications of Multivariate Time Series Analysis, Kalman Filter and Neural Networks in Estimating Capital Asset Pricing Model. - An Zeng; Dan Pan 001; Haidong Yang; Guangqiang Xie (IEA/AIE (2), 2014)

Reconstructing propagation networks with temporal similarity metrics. - Hao Liao; An Zeng (CoRR, 2014)

Predicting missing links via correlation between nodes. - Hao Liao; An Zeng; Yi-Cheng Zhang (CoRR, 2014)

Towards an objective ranking in online reputation systems: the effect of the rating projection. - Hao Liao; An Zeng; Yi-Cheng Zhang (CoRR, 2014)

Uncovering the information core in recommender systems. - Wei Zeng 013; An Zeng; Hao Liu; Ming-Sheng Shang 001; Tao Zhou 001 (CoRR, 2014)

Temporal effects in trend prediction: identifying the most popular nodes in the future. - Yanbo Zhou; An Zeng; Wei-Hong Wang (CoRR, 2014)

Identification and modeling of discoverers in online social systems. - Matús Medo; Manuel Sebastian Mariani; An Zeng; Yi-Cheng Zhang (CoRR, 2015)

The spreading ability of nodes towards localized targets in complex networks. - Ye Sun; Long Ma; An Zeng; Wen-Xu Wang (CoRR, 2015)

Prediction in complex systems: the case of the international trade network. - Alexandre Vidmer; An Zeng; Matús Medo; Yi-Cheng Zhang (CoRR, 2015)

Network-based recommendation algorithms: A review. - Fei Yu; An Zeng; Sébastien Gillard; Matús Medo (CoRR, 2015)

Modeling mutual feedback between users and recommender systems. - An Zeng; Chi Ho Yeung; Matús Medo; Yi-Cheng Zhang (CoRR, 2015)

Which publication is your representative work? - Qikai Niu; Jianlin Zhou; An Zeng; Ying Fan 001; Zengru Di (J. Informetrics, 2016)

基于MIC的深度置信网络研究 (Deep Belief Networks Research Based on Maximum Information Coefficient). - An Zeng; Qimi Zheng (计算机科学, 2016)

Ranking scientific publications with similarity-preferential mechanism. - Jianlin Zhou; An Zeng; Ying Fan 001; Zengru Di (Scientometrics, 2016)

Information mining in weighted complex networks with nonlinear rating projection. - Hao Liao; An Zeng; Ming-Yang Zhou 001; Rui Mao 001; Bing-Hong Wang (Commun. Nonlinear Sci. Numer. Simul., 2017)

Timeliness in recommender systems. - Fuguo Zhang; Qihua Liu; An Zeng (Expert Syst. Appl., 2017)

融合时间因素和用户评分特性的协同过滤算法 (Collaborative Filtering Algorithm Incorporating Time Factor and User Preference Properties). - An Zeng; Chengsi Gao; Xiaoqiang Xu (计算机科学, 2017)

融合信任关系和有用性评价的矩阵分解推荐方法 (Using Social Trust Relationship and Helpfullness Ratings for Recommendation Based on Matrix Factorization). - An Zeng; Xiaoqiang Xu (计算机科学, 2017)

基于好友关系和标签的混合协同过滤算法 (Hybrid Collaborative Filtering Recommendation Algorithm Based on Friendships and Tag). - An Zeng; Xiaoqiang Xu (计算机科学, 2017)

Standing on the shoulders of giants: the effect of outstanding scientists on young collaborators' careers. - Mengjiao Qi; An Zeng; Menghui Li; Ying Fan 001; Zengru Di (Scientometrics, 2017)

An Optimization Approach Based on Collective Correlation Coefficient for Biomarker Extraction in the Classification of Alzheimer's Disease. - Dan Pan 001; An Zeng; Jian-Zhong Li 002; Xiaowei Song 004; Shu-Xia Wang (IEA/AIE, 2018)

Optimal timescale of community detection in growing networks. - Matús Medo; An Zeng; Yi-Cheng Zhang; Manuel Sebastian Mariani (CoRR, 2018)

Identifying important scholars via directed scientific collaboration networks. - Jianlin Zhou; An Zeng; Ying Fan 001; Zengru Di (Scientometrics, 2018)

The representative works of scientists. - Jianlin Zhou; An Zeng; Ying Fan 001; Zengru Di (Scientometrics, 2018)

Learning Discriminative Finger-knuckle-print Descriptor. - Lunke Fei; Bob Zhang 001; Shaohua Teng; An Zeng; Chunwei Tian; Wei Zhang 005 (ICASSP, 2019)

Early Diagnosis of Alzheimer's Disease Based on Deep Learning and GWAS. - Dan Pan 001; Yin Huang; An Zeng; Longfei Jia; Xiaowei Song 004 (HBAI@IJCAI, 2019)

Enhancing the long-term performance of recommender system. - Leyang Xue; Peng Zhang; An Zeng (CoRR, 2019)

Discoverers in scientific citation data. - Gui-Yuan Shi; Yi-Xiu Kong; Guang-Hui Yuan; Rui-Jie Wu; An Zeng; Matús Medo (J. Informetrics, 2019)

基于深度双向LSTM的股票推荐系统 (Stock Recommendation System Based on Deep Bidirectional LSTM). - An Zeng; Wenjun Nie (计算机科学, 2019)

Predictability of diffusion-based recommender systems. - Peng Zhang; Leyang Xue; An Zeng (Knowl. Based Syst., 2019)

Can we predict ESI highly cited publications? - Fenghua Wang; Ying Fan 001; An Zeng; Zengru Di (Scientometrics, 2019)

A nonlinear collective credit allocation in scientific publications. - Fenghua Wang; Ying Fan 001; An Zeng; Zengru Di (Scientometrics, 2019)

Ranking scientific publications considering the aging characteristics of citations. - Yanan Wang; An Zeng; Ying Fan 001; Zengru Di (Scientometrics, 2019)

The strong nonlinear effect in academic dropout. - Yanmeng Xing; An Zeng; Ying Fan 001; Zengru Di (Scientometrics, 2019)

Prediction Model Based on Integrated Political Economy System: The Case of US Presidential Election. - Lingbo Li; Ying Fan 001; An Zeng; Zengru Di (CoRR, 2020)

The critical role of fresh teams in creating original and multi-disciplinary research. - An Zeng; Ying Fan 001; Zengru Di; Yougui Wang; Shlomo Havlin (CoRR, 2020)

Limits of PageRank-based ranking methods in sports data. - Yuhao Zhou; Ruijie Wang; Yi-Cheng Zhang; An Zeng; Matús Medo (CoRR, 2020)

Alleviating the data sparsity problem of recommender systems by clustering nodes in bipartite networks. - Fuguo Zhang; Shumei Qi; Qihua Liu; Mingsong Mao; An Zeng (Expert Syst. Appl., 2020)

Identifying prize-winning scientists by a competition-aware ranking. - Yuhao Zhou; Ruijie Wang; An Zeng; Yi-Cheng Zhang (J. Informetrics, 2020)

Understanding the Anticontagion Process and Reopening of China during COVID-19 via Coevolution Network of Epidemic and Awareness. - Lingbo Li; Ying Fan 001; An Zeng; Zengru Di (Complex., 2021)

Characteristics of human mobility patterns revealed by high-frequency cell-phone position data. - Chen Zhao; An Zeng; Chi Ho Yeung (EPJ Data Sci., 2021)

Quantifying the impact of a teamwork publication. - Haochuan Cui; An Zeng; Ying Fan 001; Zengru Di (J. Informetrics, 2021)

Solving the cold-start problem in scientific credit allocation. - Yanmeng Xing; Fenghua Wang; An Zeng; Ying Fan 001 (J. Informetrics, 2021)

Link prediction in growing networks with aging. - Li Zou; Chao Wang; An Zeng; Ying Fan 001; Zengru Di (Soc. Networks, 2021)

ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery. - An Zeng; Chenxi Mi; Dan Pan 001; Qing Lu 001; Xiaowei Xu 004 (BIBM, 2022)

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts. - Lang Zhao; Yiqun Zhang 006; Yuzhu Ji; An Zeng; Fangqing Gu; Xiaopeng Luo (DSAA, 2022)

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. - Yiqun Zhang 006; Yiu-ming Cheung; An Zeng (IJCAI, 2022)

A variable-length encoding genetic algorithm for incremental service composition in uncertain environments for cloud manufacturing. - Yanrong Jiang; Long Tang; Hailin Liu; An Zeng (Appl. Soft Comput., 2022)

Impactful scientists have higher tendency to involve collaborators in new topics. - An Zeng; Ying Fan 001; Zengru Di; Yougui Wang; Shlomo Havlin (CoRR, 2022)

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images. - An Zeng; Chunbiao Wu; Meiping Huang; Jian Zhuang; Shanshan Bi; Dan Pan 001; Najeeb Ullah; Kaleem Nawaz Khan; Tianchen Wang; Yiyu Shi 001; Xiaomeng Li 001; Guisen Lin; et al. (CoRR, 2022)

Quantifying the structural and temporal characteristics of negative links in signed citation networks. - Duoqi Song; Wenpei Wang; Ying Fan 001; Yanmeng Xing; An Zeng (Inf. Process. Manag., 2022)

Maximizing spreading in complex networks with risk in node activation. - Leyang Xue; Peng Zhang; An Zeng (Inf. Sci., 2022)

Bibliographic coupling networks reveal the advantage of diversification in scientific projects. - Heyang Li; Meijun Wu; Yougui Wang; An Zeng (J. Informetrics, 2022)

Improving PageRank using sports results modeling. - Yuhao Zhou; Ruijie Wang; Yi-Cheng Zhang; An Zeng; Matús Medo (Knowl. Based Syst., 2022)

Predicting the impact and publication date of individual scientists' future papers. - Yuhao Zhou; Ruijie Wang; An Zeng (Scientometrics, 2022)

DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion. - Jun Wang 035; Long Zhang; An Zeng; Dawen Xia; Jiantao Yu; Guoxian Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU. - Zhipeng Zhang; Yiqun Zhang 006; An Zeng; Dan Pan 001; Yuzhu Ji; Zhipeng Zhang; Jing Lin (ECAI, 2023)

Early Diagnosis of Alzheimer's Disease Based on Multimodal Hypergraph Attention Network. - Yi Li; Baoyao Yang; Dan Pan 001; An Zeng; Long Wu; Yang Yang (ICME, 2023)

CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation. - Shiting He; Yuzhu Ji; Yiqun Zhang 006; An Zeng; Dan Pan 001; Jing Lin; Xiaobo Zhang (PRCV (5), 2023)

Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting. - Zhipeng Zhang; Yiqun Zhang 006; An Zeng; Dan Pan 001; Xiaobo Zhang (PRCV (9), 2023)

Disruptive papers in science are losing impact. - An Zeng; Ying Fan 001; Zengru Di; Yougui Wang; Shlomo Havlin (CoRR, 2023)

A high-frequency mobility big-data reveals how COVID-19 spread across professions, locations and age groups. - Chen Zhao; Jialu Zhang; Xiaoyue Hou; Chi Ho Yeung; An Zeng (PLoS Comput. Biol., 2023)

Evaluating scientists by citation and disruption of their representative works. - Ruijie Wang; Yuhao Zhou; An Zeng (Scientometrics, 2023)

Enhancing the robustness of the disruption metric against noise. - Nan Deng; An Zeng (Scientometrics, 2023)

Feature-correlation-aware history-preserving-sparse-coding framework for automatic vertebra recognition. - Chenyi Zeng; Shen Zhao; Bin Chen; An Zeng; Shuo Li 001 (Comput. Biol. Medicine, 2023)

ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images. - An Zeng; Chunbiao Wu; Guisen Lin; Wen Xie; Jin Hong; Meiping Huang; Jian Zhuang; Shanshan Bi; Dan Pan 001; Najeeb Ullah; Kaleem Nawaz Khan; Tianchen Wang; et al. (Comput. Medical Imaging Graph., 2023)

Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios. - Shen Zhao; Jinhong Wang; Xinxin Wang; Yikang Wang; Hanying Zheng 004; Bin Chen; An Zeng; Fuxin Wei; Sadeer Al-Kindi; Shuo Li 001 (Medical Image Anal., 2023)

Target area distillation and section attention segmentation network for accurate 3D medical image segmentation. - Ruiwei Xie; Dan Pan 001; An Zeng; Xiaowei Xu 004; Tianchen Wang; Najeeb Ullah; Yuzhu Ji (Health Inf. Sci. Syst., 2023)

FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. - Dan Wang; Chu Han; Zhen Zhang 058; Tiantian Zhai; Huan Lin; Baoyao Yang; Yanfen Cui; Yinbing Lin; Zhihe Zhao; Lujun Zhao; Changhong Liang; An Zeng; et al. (Comput. Methods Programs Biomed., 2024)

Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing. - Huanbai Liu; Fanlong Zhang; Yin Tan; Lian Huang; Yan Li; Guoheng Huang; Shenghong Luo; An Zeng (CoRR, 2024)

Iterative structural coarse-graining for contagion dynamics in complex networks. - Leyang Xue; Zengru Di; An Zeng (CoRR, 2024)

A reviewer-reputation ranking algorithm to identify high-quality papers during the review process. - Fujuan Gao; Enrico Maria Fenoaltea; Pan Zhang; An Zeng (Expert Syst. Appl., 2024)

Progressive deep snake for instance boundary extraction in medical images. - Zixuan Tang; Bin Chen; An Zeng; Mengyuan Liu; Shen Zhao (Expert Syst. Appl., 2024)

Overcoming recognition delays in disruptive research: The impact of team size, familiarity, and reputation. - Huihuang Jiang; Jianlin Zhou; Yiming Ding; An Zeng (J. Informetrics, 2024)

Interdisciplinary Dynamics in COVID-19 Research: Examining the Role of Computer Science and Collaboration Patterns. - Yunfan Li; Shiyong Liu; An Zeng; Jun Wu 004; Jiayu Zhang; Weiwei Zhang; Sheng Li (Syst., 2024)

Emergence of Loops in Spatial Networks With Self-Organized Growth. - Wen-tao Chen; An Zeng; Xiao-hua Cui (IEEE Trans. Netw. Sci. Eng., 2024)

Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer's Disease. - Dan Pan 001; Genqiang Luo; An Zeng; Chao Zou; Haolin Liang; Jianbin Wang; Tong Zhang 015; Baoyao Yang (IEEE Trans. Comput. Soc. Syst., 2024)

MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention. - Jiayu Ye; An Zeng; Dan Pan 001; Yiqun Zhang 006; Jingliang Zhao; Qiuping Chen; Yang Liu 007 (IEEE J. Biomed. Health Informatics, 2024)

SmartNet: One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation. - Wei Hu; Yuzhu Ji; An Zeng; Dan Pan 001; Yiqun Zhang 006; Haijun Zhang 002 (ICASSP, 2025)

EEG-TFNet: Spatiotemporal and Spectral Feature Integration for EEG-Based AD Detection. - An Zeng; Zhao Guo; Dan Pan; Yiqun Zhang; Jun Liu; Huisi Hong (ISBRA (1), 2025)

Fuse-Former: An interpretability analysis model for rs-fMRI based on multi-scale information fusion interaction. - Jiayu Ye; Yanting Li; An Zeng; Dan Pan 001 (Biomed. Signal Process. Control., 2025)

Recommendation of TV programs via information filtering in RCA tripartite networks. - Kean Li; An Zeng; Jianlin Zhou; Yijun Chen; Xiao-hua Cui (Expert Syst. Appl., 2025)

Higher-order structure based node importance evaluation in directed networks. - Meng Li 032; Zhigang Wang; An Zeng; Zengru Di (Inf. Process. Manag., 2025)

CmdVIT: A Voluntary Facial Expression Recognition Model for Complex Mental Disorders. - Jiayu Ye; Yanhong Yu; Qingxiang Wang; Guolong Liu; Wentao Li; An Zeng; Yiqun Zhang 006; Yang Liu 007; Yunshao Zheng (IEEE Trans. Image Process., 2025)

Societal citations undermine the function of the science reward system. - Xiaokai Li; An Zeng; Ying Fan 001 (CoRR, 2025)

QEAN: quaternion-enhanced attention network for visual dance generation. - Zhizhen Zhou; Yejing Huo; Guoheng Huang; An Zeng; Xuhang Chen 002; Lian Huang; Zinuo Li (Vis. Comput., 2025)

Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning. - Baoyao Yang; Pong C. Yuen; Yiqun Zhang 006; An Zeng (IEEE Trans. Neural Networks Learn. Syst., 2025)

MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease. - Jiayu Ye; Dan Pan 001; An Zeng; Yiqun Zhang 006; Qiuping Chen; Yang Liu 007 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

The critical role of persistent disruption in advancing science. - Nan Deng; Xifeng Gu; Ying Fan 001; Shlomo Havlin; An Zeng (Nat. Comput. Sci., 2025)

Dynamic Local Conformal Reinforcement Network (DLCR) for Aortic Dissection Centerline Tracking. - Jingliang Zhao; An Zeng; Jiayu Ye; Dan Pan 001 (IEEE J. Biomed. Health Informatics, 2025)

The innovator's balance between academic social capital and disruptive innovation. - Xingpeng Liu; Jianlin Zhou; An Zeng; Xiao-hua Cui (Inf. Process. Manag., 2026)