Study of Mobile Payments System. - Xiaolin Zheng; Deren Chen (CEC, 2003)

Secure strategy for networked manufacturing system. - Xiaolin Zheng; Deren Chen; Zigui Wu (SMC (5), 2004)

Research of architecture for grid manufacturing. - Xiaolin Zheng; Deren Chen; Lin Lu (CSCWD (1), 2005)

B2B Integration: An Ontology-Based Framework. - Yingzi Wang; Deren Chen; Xiaolin Zheng (SKG, 2005)

A Semantic Web Approach to "Request for Quote" in E-Commerce. - Wen-ying Guo; Deren Chen; Xiaolin Zheng (APWeb Workshops, 2006)

Research of Web-based Negotiation Support System in Collaborative Commerce. - Wenyu Zhang 001; Xiaolin Zheng (ICEBE, 2006)

Objective Function Analysis for QoS-AwareWeb Service Composition. - Tao Zhou; Deren Chen; Xiaolin Zheng (ICEBE, 2006)

Towards an Agent-Based Robust Collaborative Virtual Environment for E-Learning in the Service Grid. - Changqin Huang; Fuyin Xu; Xianghua Xu; Xiaolin Zheng (PRIMA, 2006)

Personalized Web Service Composition Model for Non-diploma Distance Learning. - Tao Zhou; Xiaolin Zheng; Deren Chen (CSCWD, 2007)

URL Rule Based Focused Crawler. - Xiaolin Zheng; Tao Zhou; Zukun Yu; Deren Chen (ICEBE, 2008)

Policy-Based Web Service Selection in Context Sensitive Environment. - Tao Zhou; Xiaolin Zheng; William Wei Song; Xiaofeng Du; Deren Chen (SERVICES I, 2008)

Context-sensitive QoS model: a rule-based approach to web service composition. - Tao Zhou; Xiaolin Zheng; William Wei Song; Xiaofeng Du; Deren Chen (WWW, 2008)

A Network-Based Environment of Female Pelvic Region for Anatomical Education Based on Chinese Visible Human Datasets. - Xiaolin Zheng; Nan Hu; Hongyan Luo; Liwen Tan; Shaoxiang Zhang; Jinlu Shan (BMEI, 2009)

Dynamic Social Network Analysis Using Latent Space Model and an Integrated Clustering Algorithm. - Aiwu Xu; Xiaolin Zheng (DASC, 2009)

An Ontology-Driven Discovery Architecture to Support Service Composition. - Yingzi Wang; Xiaolin Zheng; Deren Chen (ICEBE, 2009)

The Fourth Party Service Platform and Service Charging. - Xuhui He; Xiaolin Zheng; Deren Chen; Jianyue Wang (ICWS, 2009)

A Computational Trust Model in C2C E-Commerce Environment. - Jun Li; Xiaolin Zheng; Yafeng Wu; Deren Chen (ICEBE, 2010)

Dynamic Service Selection with Reputation Management. - Surong Yan; Xiaolin Zheng; Deren Chen (ICSS, 2010)

Segmentation of brain tissue based on connected component labeling and mathematic morphology. - Min Li 009; Xiaolin Zheng; Xiaoping Wan; Hongyan Luo; Shaoxiang Zhang; Liwen Tan (BMEI, 2011)

News Information Extraction Based on Adaptive Weighting Using Unsupervised Bayesian Algorithm. - Shilin Huang; Xiaolin Zheng; Xiaowei Wang; Deren Chen (WISM (2), 2011)

A Reputation Evaluation Approach Based on Fuzzy Relation. - Meiyu Fang; Xiaolin Zheng; Deren Chen (Int. J. Comput. Intell. Syst., 2011)

User-centric trust and reputation model for personal and trusted service selection. - Surong Yan; Xiaolin Zheng; Deren Chen; Wen-Yu Zhang (Int. J. Intell. Syst., 2011)

Rule-based service charging method for composite services. - Xiaolin Zheng; Zhen Lin; Jianyue Wang; Yijun Bei (Int. J. Serv. Technol. Manag., 2011)

A Micropower Miniature Piezoelectric Actuator for Implantable Middle Ear Hearing Device. - Zhigang Wang; Robert Mills 003; Hongyan Luo; Xiaolin Zheng; Wensheng Hou; Lijun Wang; Stuart I. Brown; Alfred Cuschieri (IEEE Trans. Biomed. Eng., 2011)

Personalized Recommendation Based on Reviews and Ratings Alleviating the Sparsity Problem of Collaborative Filtering. - Jingnan Xu; Xiaolin Zheng; Weifeng Ding (ICEBE, 2012)

Blind source separation with time series variational Bayes expectation maximization algorithm. - Shijun Sun; Chenglin Peng; Wensheng Hou; Jun Zheng 003; Yingtao Jiang; Xiaolin Zheng (Digit. Signal Process., 2012)

Algorithm for recommending answer providers in community-based question answering. - Xiaolin Zheng; Zhongkai Hu; Aiwu Xu; Deren Chen; Kuang Liu; Bo Li (J. Inf. Sci., 2012)

A Comprehensive Failure Recovery Algorithm for LRTs Based on Paired Net. - Xiaoyong Mei; Yiyan Fan; Changqin Huang; Xiaolin Zheng (J. Softw., 2012)

Trust Based Service Selection in Service Oriented Environment. - Jun Li; Xiaolin Zheng; Deren Chen; William Wei Song (Int. J. Web Serv. Res., 2012)

A Recommender System Model Combining Trust with Topic Maps. - Zukun Yu; William Wei Song; Xiaolin Zheng; Deren Chen (APWeb, 2013)

Recommender System Based on Social Trust Relationships. - Chaochao Chen 001; Jing Zeng; Xiaolin Zheng; Deren Chen (ICEBE, 2013)

Making Recommendations on Microblogs through Topic Modeling. - Chaochao Chen 001; Xiaolin Zheng; Chaofei Zhou; Deren Chen (WISE Workshops, 2013)

Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach. - Xiaolin Zheng; Shuai Zhu; Zhangxi Lin (Decis. Support Syst., 2013)

Exploiting two-faceted web of trust for enhanced-quality recommendations. - Surong Yan; Xiaolin Zheng; Deren Chen; Yan Wang 002 (Expert Syst. Appl., 2013)

Word sense disambiguation based on positional weighted context. - Shilin Huang; Xiaolin Zheng; Haixiao Kang; Deren Chen (J. Inf. Sci., 2013)

Theoretical Analysis of the Optical Propagation Characteristics in a Fiber-Optic Surface Plasmon Resonance Sensor. - Linlin Liu; Jun Yang; Zhong Yang; Xiaoping Wan; Ning Hu; Xiaolin Zheng (Sensors, 2013)

Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems. - Chaochao Chen 001; Xiaolin Zheng; Yan Wang 002; Fuxing Hong; Zhen Lin (AAAI, 2014)

Collaborative Topic Modeling for Text Tensors. - Weifeng Ding; Xiaolin Zheng; Chaochao Chen 001; Zukun Yu; Deren Chen (ICEBE, 2014)

A Hybrid Movie Recommendation Approach via Social Tags. - Shouxian Wei; Litao Xiao; Xiaolin Zheng; Deren Chen (ICEBE, 2014)

Deformable image registration for temporal subtraction of chest radiographs. - Min Li 009; Edward Castillo; Hongyan Luo; Xiaolin Zheng; Richard Castillo; Dmitriy Meshkov; Thomas Guerrero (Int. J. Comput. Assist. Radiol. Surg., 2014)

An efficient and reliable approach for quality-of-service-aware service composition. - Jun Li; Xiaolin Zheng; Song-Tao Chen; William Wei Song; Deren Chen (Inf. Sci., 2014)

Incorporating appraisal expression patterns into topic modeling for aspect and sentiment word identification. - Xiaolin Zheng; Zhen Lin; Xiaowei Wang; Kwei-Jay Lin; Meina Song (Knowl. Based Syst., 2014)

Personalized recommendation based on review topics. - Xiaolin Zheng; Weifeng Ding; Jingnan Xu; Deren Chen (Serv. Oriented Comput. Appl., 2014)

Review Sentiment Analysis Based on Deep Learning. - Zhongkai Hu; Jianqing Hu; Weifeng Ding; Xiaolin Zheng (ICEBE, 2015)

Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood. - Xiaolin Zheng; Zhen Lin; Huan Xu; Chaochao Chen 001; Ting Ye (Expert Syst. Appl., 2015)

A graph-based comprehensive reputation model: Exploiting the social context of opinions to enhance trust in social commerce. - Surong Yan; Xiaolin Zheng; Yan Wang 002; William Wei Song; Wen-Yu Zhang (Inf. Sci., 2015)

A Hybrid Trust-Based Recommender System for Online Communities of Practice. - Xiaolin Zheng; Chaochao Chen 001; Jui-Long Hung; Wu He; Fuxing Hong; Zhen Lin (IEEE Trans. Learn. Technol., 2015)

Capturing Semantic Correlation for Item Recommendation in Tagging Systems. - Chaochao Chen 001; Xiaolin Zheng; Yan Wang 002; Fuxing Hong; Deren Chen (AAAI, 2016)

The impact of sEMG feature weight on the recognition of similar grasping gesture. - Yao Zhang; Wensheng Hou; Hongyan Luo; Xiaoying Wu; Yanjian Liao; Xingyu Fan; Xiaolin Zheng (ICARM, 2016)

P2P Lending Platforms Bankruptcy Prediction Using Fuzzy SVM with Region Information. - Menghan Wang; Xiaolin Zheng; Mengying Zhu; Zhongkai Hu (ICEBE, 2016)

A hybrid approach for movie recommendation via tags and ratings. - Shouxian Wei; Xiaolin Zheng; Deren Chen; Chaochao Chen 001 (Electron. Commer. Res. Appl., 2016)

Topic tensor factorization for recommender system. - Xiaolin Zheng; Weifeng Ding; Zhen Lin; Chaochao Chen 001 (Inf. Sci., 2016)

Incorporating social information to perform diverse replier recommendation in question and answer communities. - Yingchun Liu; Zhen Lin; Xiaolin Zheng; Deren Chen (J. Inf. Sci., 2016)

Recommender System with Composite Social Trust Networks. - Chaochao Chen 001; Xiaolin Zheng; Mengying Zhu; Litao Xiao (Int. J. Web Serv. Res., 2016)

Combining Trust Propagation and Topic-Level User Interest Expansion in Recommender Systems. - Zukun Yu; William Wei Song; Xiaolin Zheng; Deren Chen (Int. J. Web Serv. Res., 2016)

Optimize Recommendation System with Topic Modeling and Clustering. - Qianqiao Liang; Xiaolin Zheng; Menghan Wang; Haodong Chen; Pin Lu (ICEBE, 2017)

Investment Recommendation with Total Capital Value Maximization in Online P2P Lending. - Yanchao Tan; Xiaolin Zheng; Mengying Zhu; Chaohui Wang; Zhifeng Zhu; Lifeng Yu (ICEBE, 2017)

Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model. - Min Li 009; Sarah Joy Castillo; Richard Castillo; Edward Castillo; Thomas Guerrero; Liang Xiao 001; Xiaolin Zheng (Int. J. Comput. Assist. Radiol. Surg., 2017)

Deep Collaborative Autoencoder for Recommender Systems: A Unified Framework for Explicit and Implicit Feedback. - Qibing Li; Xiaolin Zheng (CoRR, 2017)

An Approach for Building Efficient and Accurate Social Recommender Systems Using Individual Relationship Networks. - Surong Yan; Kwei-Jay Lin; Xiaolin Zheng; Wenyu Zhang 001; Xiaoqing Feng (IEEE Trans. Knowl. Data Eng., 2017)

Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation. - Menghan Wang; Xiaolin Zheng; Yang Yang; Kun Zhang 001 (AAAI, 2018)

Sub-Thermionic Steep Switching in Hole-Doped WSe2 Transistors. - Connor J. McClellan; Eilam Yalon; Lili Cai; Saurabh Suryavanshi; Xiaolin Zheng; Eric Pop (DRC, 2018)

Recurrent Collaborative Filtering for Unifying General and Sequential Recommender. - Disheng Dong; Xiaolin Zheng; Ruixun Zhang; Yan Wang 002 (IJCAI, 2018)

Modeling Dynamic Missingness of Implicit Feedback for Recommendation. - Menghan Wang; Mingming Gong; Xiaolin Zheng; Kun Zhang 001 (NeurIPS, 2018)

How Local Information Improves Rendezvous in Cognitive Radio Networks. - Yongqin Fu; Yuexuan Wang; Zhaoquan Gu; Xiaolin Zheng; Tianhao Wei; Zhen Cao; Heming Cui; Francis C. M. Lau 001 (SECON, 2018)

Leveraging Transitive Trust Relations to Improve Cross-Domain Recommendation. - Guofang Ma; Yuexuan Wang; Xiaolin Zheng; Menghan Wang (IEEE Access, 2018)

User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning. - Menghan Wang; Xiaolin Zheng; Kun Zhang 001 (CoRR, 2018)

Non-Uniform Sample Assignment in Training Set Improving Recognition of Hand Gestures Dominated with Similar Muscle Activities. - Yao Zhang; Yanjian Liao; Xiaoying Wu; Lin Chen; Qiliang Xiong; Zhixian Gao; Xiaolin Zheng; Guanglin Li 001; Wensheng Hou (Frontiers Neurorobotics, 2018)

Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. - Chaochao Chen 001; Kevin Chen-Chuan Chang; Qibing Li; Xiaolin Zheng (ACM Trans. Knowl. Discov. Data, 2018)

A Request-Based Handover Strategy Using NDN for 5G. - Fan Jia; Xiaolin Zheng (Wirel. Commun. Mob. Comput., 2018)

DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. - Feng Zhu 011; Chaochao Chen 001; Yan Wang 002; Guanfeng Liu 001; Xiaolin Zheng (CIKM, 2019)

Research on Power-Assisted Strategy and Device Based on Muscle Synergy. - Lintao Hu; Xiuying Luo; Shangjie Tang; Xiaoying Wu; Lin Chen; Xiaolin Zheng; Wensheng Hou (CIVEMSA, 2019)

Design of Visual Gaze Target Locating Device Based on Depth Camera. - Yuxin Liu; Lintao Hu; Bowen Xiao; Xiao Y. Wu; Yanhan Chen; Donghai Ye; Wen S. Hou; Xiaolin Zheng (CIVEMSA, 2019)

Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling. - Mengying Zhu; Xiaolin Zheng; Yan Wang 002; Yuyuan Li; Qianqiao Liang (CoRR, 2019)

EXPLORE: EXPLainable item-tag CO-REcommendation. - Xiaolin Zheng; Menghan Wang; Chaochao Chen 001; Yan Wang 002; Zhehao Cheng (Inf. Sci., 2019)

FinBrain: when finance meets AI 2.0. - Xiaolin Zheng; Mengying Zhu; Qibing Li; Chaochao Chen 001; Yanchao Tan (Frontiers Inf. Technol. Electron. Eng., 2019)

A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. - Feng Zhu 011; Yan Wang 002; Chaochao Chen 001; Guanfeng Liu 001; Xiaolin Zheng (IJCAI, 2020)

Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit. - Mengying Zhu; Xiaolin Zheng; Yan Wang 002; Qianqiao Liang; Wenfang Zhang (IJCAI, 2020)

Practical Privacy Preserving POI Recommendation. - Chaochao Chen 001; Bingzhe Wu; Wenjin Fang; Jun Zhou 011; Li Wang 056; Yuan Qi 001; Xiaolin Zheng (CoRR, 2020)

Privacy-Preserving Graph Neural Network for Node Classification. - Jun Zhou 011; Chaochao Chen 001; Longfei Zheng; Xiaolin Zheng; Bingzhe Wu; Ziqi Liu; Li Wang 056 (CoRR, 2020)

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Chaochao Chen 001; Jun Zhou 011; Longfei Zheng; Yan Wang 002; Xiaolin Zheng; Bingzhe Wu; Cen Chen 001; Li Wang 056; Jianwei Yin (CoRR, 2020)

Collaborative topological filtering with multi-hop recurrent pathological aggregation. - Disheng Dong; Xiaolin Zheng; Xiaoye Miao (Knowl. Based Syst., 2020)

Deterministic Lateral Displacement-Based Separation of Magnetic Beads and Its Applications of Antibody Recognition. - Haichao Zhang; Junyi Zeng; Dandan Han; Jinan Deng; Ning Hu; Xiaolin Zheng; Jun Yang (Sensors, 2020)

Practical Privacy Preserving POI Recommendation. - Chaochao Chen 001; Jun Zhou 011; Bingzhe Wu; Wenjing Fang; Li Wang 056; Yuan Qi 001; Xiaolin Zheng (ACM Trans. Intell. Syst. Technol., 2020)

Using Latent Knowledge to Improve Real-Time Activity Recognition for Smart IoT. - Surong Yan; Kwei-Jay Lin; Xiaolin Zheng; Wenyu Zhang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Semantic-Aware Deep Neural Attention Network for Machine Translation Detection. - Yangbin Shi; Jun Lu; Shuqin Gu; Qiang Wang; Xiaolin Zheng (CCMT, 2021)

Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation. - Ke Wang; Yangbin Shi; Jiayi Wang; Yuqi Zhang; Yu Zhao; Xiaolin Zheng (EMNLP (Findings), 2021)

Multi-Facet Recommender Networks with Spherical Optimization. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Yun Ma 009; Xiaolin Zheng (ICDE, 2021)

An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets. - Qianqiao Liang; Mengying Zhu; Xiaolin Zheng; Yan Wang 002 (IJCAI, 2021)

Towards a Serverless Java Runtime. - Yifei Zhang 001; Tianxiao Gu; Xiaolin Zheng; Lei Yu; Wei Kuai; Sanhong Li (ASE, 2021)

Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. - Weiming Liu 005; Jiajie Su; Chaochao Chen 001; Xiaolin Zheng (NeurIPS, 2021)

Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation. - Fei Zheng; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2021)

Inferring Urban Land Use from Multi-Source Urban Mobility Data Using Latent Multi-View Subspace Clustering. - Qiliang Liu; Weihua Huan; Min Deng; Xiaolin Zheng; Haotao Yuan (ISPRS Int. J. Geo Inf., 2021)

A trust-aware latent space mapping approach for cross-domain recommendation. - Guofang Ma; Yuexuan Wang; Xiaolin Zheng; Xiaoye Miao; Qianqiao Liang (Neurocomputing, 2021)

O3ERS: An explainable recommendation system with online learning, online recommendation, and online explanation. - Qianqiao Liang; Xiaolin Zheng; Yan Wang 002; Mengying Zhu (Inf. Sci., 2021)

Partial Relaxed Optimal Transport for Denoised Recommendation. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Ziyue Wu; Weiming Liu 005; Xiaolin Zheng (DL4SR@CIKM, 2022)

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Longfei Li; Xiaolin Zheng (ICDE, 2022)

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. - Chaochao Chen 001; Jun Zhou 011; Longfei Zheng; Huiwen Wu; Lingjuan Lyu; Jia Wu 001; Bingzhe Wu; Ziqi Liu; Li Wang 056; Xiaolin Zheng (IJCAI, 2022)

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. - Fan Wang 020; Weiming Liu 005; Chaochao Chen 001; Mengying Zhu; Xiaolin Zheng (IJCAI, 2022)

A Smart Trader for Portfolio Management based on Normalizing Flows. - Mengyuan Yang 002; Xiaolin Zheng; Qianqiao Liang; Bing Han; Mengying Zhu (IJCAI, 2022)

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. - Yanchao Tan; Chengjun Kong; Leisheng Yu; Pan Li 005; Chaochao Chen 001; Xiaolin Zheng; Vicki Hertzberg; Carl Yang 001 (KDD, 2022)

DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. - Xiaolin Zheng; Jiajie Su; Weiming Liu 005; Chaochao Chen 001 (ACM Multimedia, 2022)

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Jiajie Su; Mengling Hu; Yanchao Tan; Chaochao Chen 001 (SIGIR, 2022)

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Weiming Liu 005; Longfei Li; Jun Zhou 011; Xiaolin Zheng (SIGIR, 2022)

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. - Chaochao Chen 001; Huiwen Wu; Jiajie Su; Lingjuan Lyu; Xiaolin Zheng; Li Wang 056 (WWW, 2022)

Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Mengling Hu; Chaochao Chen 001 (WWW, 2022)

WISE: Wavelet based Interpretable Stock Embedding for Risk-Averse Portfolio Management. - Mengying Zhu; Yan Wang 002; Fei Wu 001; Mengyuan Yang 002; Cheng Chen 023; Qianqiao Liang; Xiaolin Zheng (WWW (Companion Volume), 2022)

An Online Transfer Learning Framework With Extreme Learning Machine for Automated Credit Scoring. - Rana Alasbahi; Xiaolin Zheng (IEEE Access, 2022)

Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation. - Yuyuan Li; Xiaolin Zheng; Chaochao Chen 001; Junlin Liu (CoRR, 2022)

Partial Relaxed Optimal Transport for Denoised Recommendation. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Ziyue Wu; Xiaolin Zheng (CoRR, 2022)

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Mengling Hu; Chaochao Chen 001 (CoRR, 2022)

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Jintang Li; Junchi Yu; Yatao Bian; Hengtong Zhang; Chaochao Chen 001; Chengbin Hou; Guoji Fu; Liang Chen 001; Tingyang Xu; Yu Rong 001; Xiaolin Zheng; et al. (CoRR, 2022)

Making Split Learning Resilient to Label Leakage by Potential Energy Loss. - Fei Zheng; Chaochao Chen 001; Binhui Yao; Xiaolin Zheng (CoRR, 2022)

Exponential Gradient with Momentum for Online Portfolio Selection. - Yuyuan Li; Xiaolin Zheng; Chaochao Chen 001; Jiawei Wang 011; Shuai Xu (Expert Syst. Appl., 2022)

FinBrain 2.0: when finance meets trustworthy AI. - Jun Zhou 011; Chaochao Chen 001; Longfei Li; Zhiqiang Zhang 012; Xiaolin Zheng (Frontiers Inf. Technol. Electron. Eng., 2022)

Towards secure and practical machine learning via secret sharing and random permutation. - Fei Zheng; Chaochao Chen 001; Xiaolin Zheng; Mingjie Zhu (Knowl. Based Syst., 2022)

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Jun Zhou 011; Longfei Zheng; Chaochao Chen 001; Yan Wang 002; Xiaolin Zheng; Bingzhe Wu; Cen Chen 001; Li Wang 056; Jianwei Yin (ACM Trans. Intell. Syst. Technol., 2022)

Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation. - Xiaolin Zheng; Menghan Wang; Renjun Xu; Jianmeng Li; Yan Wang 002 (IEEE Trans. Knowl. Data Eng., 2022)

LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation. - Surong Yan; Kwei-Jay Lin; Xiaolin Zheng; Haosen Wang (ACM Trans. Inf. Syst., 2022)

Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective. - Qianqiao Liang; Mengying Zhu; Yan Wang 002; Xiuyuan Wang 002; Wanjia Zhao; Mengyuan Yang 002; Hua Wei; Bing Han; Xiaolin Zheng (AAAI, 2023)

PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. - Xinting Liao; Weiming Liu 005; Xiaolin Zheng; Binhui Yao; Chaochao Chen 001 (AAAI, 2023)

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. - Xiaolin Zheng; Mengling Hu; Weiming Liu 005; Chaochao Chen 001; Xinting Liao (ACL (1), 2023)

Decentralized Graph Neural Network for Privacy-Preserving Recommendation. - Xiaolin Zheng; Zhongyu Wang; Chaochao Chen 001; Jiashu Qian; Yao Yang (CIKM, 2023)

PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical Logistic Regression. - Sihan Mao; Xiaolin Zheng; Jianguang Zhang; Xiaodong Hu (ICONIP (4), 2023)

Incentive-Driven Pricing Game for Multi-Edge Service Providers towards Optimal Profits. - Shengye Pang; Xinkui Zhao; Jiayin Luo; Bangpeng Zheng; Jianwei Yin; Xiaolin Zheng (ICWS, 2023)

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. - Xiaolin Zheng; Zhongyu Wang; Chaochao Chen 001; Feng Zhu 011; Jiashu Qian (ICWS, 2023)

Federated Learning on Non-iid Data via Local and Global Distillation. - Xiaolin Zheng; Senci Ying; Fei Zheng; Jianwei Yin; Longfei Zheng; Chaochao Chen 001; Fengqin Dong (ICWS, 2023)

Spotlight News Driven Quantitative Trading Based on Trajectory Optimization. - Mengyuan Yang 002; Mengying Zhu; Qianqiao Liang; Xiaolin Zheng; Menghan Wang (IJCAI, 2023)

Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow. - Xiaolin Zheng; Mengpu Liu; Mengying Zhu (IJCAI, 2023)

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Weiming Liu 005; Jun Wang 020; Wenjie Cheng; Yuyuan Li (ACM Multimedia, 2023)

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang 002; Mengling Hu; Yanchao Tan; Xiaolin Zheng (ACM Multimedia, 2023)

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Mengling Hu; Xinting Liao; Fan Wang 020; Yanchao Tan; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. - Jiajie Su; Chaochao Chen 001; Zibin Lin; Xi Li 001; Weiming Liu 005; Xiaolin Zheng (ACM Multimedia, 2023)

UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. - Yuyuan Li; Chaochao Chen 001; Yizhao Zhang; Weiming Liu 005; Lingjuan Lyu; Xiaolin Zheng; Dan Meng 001; Jun Wang 020 (NeurIPS, 2023)

Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. - Zhongxuan Han; Xiaolin Zheng; Chaochao Chen 001; Wenjie Cheng; Yang Yao (WWW, 2023)

Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Jiajie Su; Xinting Liao; Mengling Hu; Yanchao Tan (WWW, 2023)

Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. - Jiajie Su; Chaochao Chen 001; Weiming Liu 005; Fei Wu 001; Xiaolin Zheng; Haoming Lyu (WWW, 2023)

Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020 (CoRR, 2023)

Federated Unlearning via Active Forgetting. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Jiaming Zhang 009 (CoRR, 2023)

Federated Large Language Model: A Position Paper. - Chaochao Chen 001; Xiaohua Feng; Jun Zhou 011; Jianwei Yin; Xiaolin Zheng (CoRR, 2023)

Defending Label Inference Attacks in Split Learning under Regression Setting. - Haoze Qiu; Fei Zheng; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang; Mengling Hu; Yanchao Tan; Xiaolin Zheng (CoRR, 2023)

Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. - Mengling Hu; Chaochao Chen 001; Weiming Liu 005; Xinyi Zhang; Xinting Liao; Xiaolin Zheng (CoRR, 2023)

Federated Learning for Short Text Clustering. - Mengling Hu; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Xiaolin Zheng (CoRR, 2023)

Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network. - Qianqiao Liang; Hua Wei; Yaxi Wu; Feng Wei; Deng Zhao; Jianshan He; Xiaolin Zheng; Guofang Ma; Bing Han (Frontiers Inf. Technol. Electron. Eng., 2023)

REFER: Randomized Online Factor Selection Framework for portfolio Management. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yan Wang 002; Biao Gong (Expert Syst. Appl., 2023)

Finding High-Quality Item Attributes for Recommendation. - Xiaolin Zheng; Yanchao Tan; Yan Wang 002; Xiangyu Wei; Shengjia Zhang; Chaochao Chen 001; Longfei Li; Carl Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. - Weiming Liu 005; Xiaolin Zheng; Jiajie Su; Longfei Zheng; Chaochao Chen 001; Mengling Hu (IEEE Trans. Knowl. Data Eng., 2023)

Selective and collaborative influence function for efficient recommendation unlearning. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020; Linxun Chen (Expert Syst. Appl., 2023)

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward. - Mengyuan Yang 002; Mengying Zhu; Yan Wang 002; Linxun Chen; Yilei Zhao 001; Xiuyuan Wang 002; Bing Han; Xiaolin Zheng; Jianwei Yin (AAAI, 2024)

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Yanchao Tan; Fan Wang 020; Xiaolin Zheng; Yew Soon Ong (AAAI, 2024)

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Meng Li; Weiming Liu 005; Binhui Yao; Yuyuan Li; Jianwei Yin (AAAI, 2024)

ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction. - Mengpu Liu; Mengying Zhu; Xiuyuan Wang 002; Guofang Ma; Jianwei Yin; Xiaolin Zheng (AAAI, 2024)

Byzantine-Robust Compressed and Momentum-based Variance Reduction in Federated Learning. - Sihan Mao; Jianguang Zhang; Xiaodong Hu; Xiaolin Zheng (CSCWD, 2024)

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. - Xinting Liao; Weiming Liu 005; Chaochao Chen 001; Pengyang Zhou; Fengyuan Yu; Huabin Zhu; Binhui Yao; Tao Wang; Xiaolin Zheng; Yanchao Tan (CVPR, 2024)

Modeling and Analysis of Over-the-Air Attack with QoS-Aware Scheduling: Queuing-based Approach. - Chen Zhang; Huici Wu; Xiaolin Zheng; Guoshun Nan; Xiaofeng Tao (GLOBECOM, 2024)

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Jiahe Xu 003; Xinting Liao; Fan Wang 020; Yanchao Tan; Yew-Soon Ong (ICML, 2024)

A Novel Glass Defect Detection Method for Mobile Phone Cover Combining Vision Transformer and Faster R-CNN. - Youhang Zhou; Xueli Shen; Zhuxi Ma; Keliang Huang; Xiaolin Zheng; Yongjian Min (ICVISP, 2024)

HEDGE: Heterogeneous Semantic Dynamic Graph Framework for Log Anomaly Detection in Digital Service Network. - Bohao Qian; Mengying Zhu; Mengyuan Yang 002; Enze Wu; Guojie Xie; Yuebing Liang; Xiaolin Zheng (ICWS, 2024)

Protecting Split Learning by Potential Energy Loss. - Fei Zheng; Chaochao Chen 001; Lingjuan Lyu; Xinyi Fu; Xing Fu; Weiqiang Wang; Xiaolin Zheng; Jianwei Yin (IJCAI, 2024)

CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. - Fan Wang 020; Chaochao Chen 001; Weiming Liu 005; Tianhao Fan; Xinting Liao; Yanchao Tan; Lianyong Qi; Xiaolin Zheng (KDD, 2024)

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. - Xinting Liao; Weiming Liu 005; Pengyang Zhou; Fengyuan Yu; Jiahe Xu 003; Jun Wang 020; Wenjie Wang; Chaochao Chen 001; Xiaolin Zheng (NeurIPS, 2024)

Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Li Zhang; Yuyuan Li (SIGIR, 2024)

Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. - Jiajie Su; Chaochao Chen 001; Weiming Liu 005; Zibin Lin; Shuheng Shen; Weiqiang Wang 002; Xiaolin Zheng (SIGIR, 2024)

PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN. - Fei Zheng; Chaochao Chen 001; Zhongxuan Han; Xiaolin Zheng (CoRR, 2024)

WassFFed: Wasserstein Fair Federated Learning. - Zhongxuan Han; Li Zhang; Chaochao Chen 001; Xiaolin Zheng; Fei Zheng; Yuyuan Li; Jianwei Yin (CoRR, 2024)

Integration of large language models and federated learning. - Chaochao Chen 001; Xiaohua Feng; Yuyuan Li; Lingjuan Lyu; Jun Zhou 011; Xiaolin Zheng; Jianwei Yin (Patterns, 2024)

Making recommender systems forget: Learning and unlearning for erasable recommendation. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Junlin Liu; Jun Wang 020 (Knowl. Based Syst., 2024)

Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. - Xiaolin Zheng; Rui Wu; Zhongxuan Han; Chaochao Chen 001; Linxun Chen; Bing Han 017 (ACM Trans. Web, 2024)

Microfluidic-Based Electrical Operation and Measurement Methods in Single-Cell Analysis. - Xing Liu; Xiaolin Zheng (Sensors, 2024)

Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. - Xiaolin Zheng; Weiming Liu 005; Chaochao Chen 001; Jiajie Su; Xinting Liao; Mengling Hu; Yanchao Tan (IEEE Trans. Knowl. Data Eng., 2024)

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. - Fan Wang 020; Chaochao Chen 001; Weiming Liu 005; Minye Lei; Jintao Chen; Yuwen Liu; Xiaolin Zheng; Jianwei Yin (AAAI, 2025)

LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. - Li Zhang; Chaochao Chen; Zhongxuan Han; Qiyong Zhong; Xiaolin Zheng (AAAI, 2025)

FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Wenkai Shen; Jiahe Xu 003; Zhihui Fu; Jun Wang 020; Wu Wen; Xiaolin Zheng (AAAI, 2025)

Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. - Xiaohua Feng; Yuyuan Li; Chaochao Chen 001; Li Zhang; Longfei Li; Jun Zhou 011; Xiaolin Zheng (ICLR, 2025)

Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Wenkai Shen; Xinting Liao; Huarong Deng; Zhihui Fu; Jun Wang 020; Wu Wen; Xiaolin Zheng (SIGIR, 2025)

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Fengyuan Yu; Zhihui Fu; Xingyu Lou; Wu Wen; Xiaolin Zheng; Jun Wang 020 (WSDM, 2025)

Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Jiahe Xu 003; Xinting Liao; Fan Wang 020; Xiaolin Zheng; Zhihui Fu; Ruiguang Pei; Jun Wang 020 (WWW, 2025)

Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems. - Xiaohua Feng; Yuyuan Li; Fengyuan Yu; Li Zhang; Chaochao Chen 001; Xiaolin Zheng (WWW, 2025)

Post-Training Attribute Unlearning in Recommender Systems. - Chaochao Chen 001; Yizhao Zhang; Yuyuan Li; Jun Wang 020; Lianyong Qi; Xiaolong Xu 001; Xiaolin Zheng; Jianwei Yin (ACM Trans. Inf. Syst., 2025)

Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li; Junjie Fang; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han (CoRR, 2025)

Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Yixiu Liu; Zehui He; Yuyuan Li; Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2025)

Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation. - Jiajie Su; Qiyong Zhong; Yunshan Ma; Yuwei Liu; Chao-Chao Chen 001; Xiaolin Zheng; Jianwei Yin; Tat-Seng Chua (CoRR, 2025)

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. - Xinting Liao; Weiming Liu 005; Jiaming Qian; Pengyang Zhou; Jiahe Xu 003; Wenjie Wang; Chao-Chao Chen 001; Xiaolin Zheng; Tat-Seng Chua (CoRR, 2025)

SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets. - Mengying Zhu; Mengyuan Yang 002; Yan Wang 002; Fei Wu 001; Qianqiao Liang; Chaochao Chen 001; Hua Wei; Xiaolin Zheng (IEEE Trans. Knowl. Data Eng., 2025)