Xiaolin Zheng

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 125

Top Venues

Publications

Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Junlin Liu, Jun Wang
Making recommender systems forget: Learning and unlearning for erasable recommendation. Knowl. Based Syst. 283 (2024)
Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. CoRR (2023)
Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. AAAI (2023)
Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang
Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CoRR (2023)
Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao
Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. WWW (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang
Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. CoRR (2023)
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. ACM Multimedia (2023)
Qianqiao Liang, Hua Wei, Yaxi Wu, Feng Wei, Deng Zhao, Jianshan He, Xiaolin Zheng, Guofang Ma, Bing Han
Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network. Frontiers Inf. Technol. Electron. Eng. 24 (3) (2023)
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. ICWS (2023)
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR (2023)
Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng
Federated Learning for Short Text Clustering. CoRR (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. CoRR (2023)
Sihan Mao, Xiaolin Zheng, Jianguang Zhang, Xiaodong Hu
PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical Logistic Regression. ICONIP (4) (2023)
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia (2023)
Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng
Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. CoRR (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yan Wang, Biao Gong
REFER: Randomized Online Factor Selection Framework for portfolio Management. Expert Syst. Appl. 223 (2023)
Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang
Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. ACM Multimedia (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. ACM Multimedia (2023)
Mengyuan Yang, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, Menghan Wang
Spotlight News Driven Quantitative Trading Based on Trajectory Optimization. IJCAI (2023)
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CIKM (2023)
Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
Federated Learning on Non-iid Data via Local and Global Distillation. CoRR (2023)
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. WWW (2023)
Haoze Qiu, Fei Zheng, Chaochao Chen, Xiaolin Zheng
Defending Label Inference Attacks in Split Learning under Regression Setting. CoRR (2023)
Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. NeurIPS (2023)
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR (2023)
Xiaolin Zheng, Mengpu Liu, Mengying Zhu
Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow. IJCAI (2023)
Chaochao Chen, Xiaohua Feng, Jun Zhou, Jianwei Yin, Xiaolin Zheng
Federated Large Language Model: A Position Paper. CoRR (2023)
Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. ACL (1) (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang
Federated Unlearning via Active Forgetting. CoRR (2023)
Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW (2023)
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. CoRR (2023)
Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. CoRR (2023)
Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. ACM Multimedia (2023)
Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
Federated Learning on Non-iid Data via Local and Global Distillation. ICWS (2023)
Shengye Pang, Xinkui Zhao, Jiayin Luo, Bangpeng Zheng, Jianwei Yin, Xiaolin Zheng
Incentive-Driven Pricing Game for Multi-Edge Service Providers towards Optimal Profits. ICWS (2023)
Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective. AAAI (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen
Selective and collaborative influence function for efficient recommendation unlearning. Expert Syst. Appl. 234 (2023)
Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Jiawei Wang, Shuai Xu
Exponential Gradient with Momentum for Online Portfolio Selection. Expert Syst. Appl. 187 (2022)
Surong Yan, Kwei-Jay Lin, Xiaolin Zheng, Haosen Wang
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation. ACM Trans. Inf. Syst. 40 (3) (2022)
Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Junlin Liu
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation. CoRR (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng
Partial Relaxed Optimal Transport for Denoised Recommendation. CoRR (2022)
Mengying Zhu, Yan Wang, Fei Wu, Mengyuan Yang, Cheng Chen, Qianqiao Liang, Xiaolin Zheng
WISE: Wavelet based Interpretable Stock Embedding for Risk-Averse Portfolio Management. WWW (Companion Volume) (2022)
Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI (2022)
Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang
4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR (2022)
Xiaolin Zheng, Menghan Wang, Renjun Xu, Jianmeng Li, Yan Wang
Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. CoRR (2022)
Fei Zheng, Chaochao Chen, Xiaolin Zheng, Mingjie Zhu
Towards secure and practical machine learning via secret sharing and random permutation. Knowl. Based Syst. 245 (2022)
Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. CoRR (2022)
Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR (2022)
Rana Alasbahi, Xiaolin Zheng
An Online Transfer Learning Framework With Extreme Learning Machine for Automated Credit Scoring. IEEE Access 10 (2022)
Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. CoRR (2022)
Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. WWW (2022)
Yanchao Tan, Carl Yang, Yanchao Tan, Ziyue Wu, Weiming Liu, Xiaolin Zheng
Partial Relaxed Optimal Transport for Denoised Recommendation. DL4SR@CIKM (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE (2022)
Jun Zhou, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng
FinBrain 2.0: when finance meets trustworthy AI. Frontiers Inf. Technol. Electron. Eng. 23 (12) (2022)
Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. SIGIR (2022)
Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. ACM Multimedia (2022)
Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW (2022)
Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. CoRR (2022)
Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu
A Smart Trader for Portfolio Management based on Normalizing Flows. IJCAI (2022)
Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems. CoRR (2022)
Fei Zheng, Chaochao Chen, Binhui Yao, Xiaolin Zheng
Making Split Learning Resilient to Label Leakage by Potential Energy Loss. CoRR (2022)
Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR (2022)
Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. IJCAI (2022)
Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao, Xiaolin Zheng
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation. CoRR (2021)
Qianqiao Liang, Mengying Zhu, Xiaolin Zheng, Yan Wang
An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets. IJCAI (2021)
Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. NeurIPS (2021)
Yifei Zhang, Tianxiao Gu, Xiaolin Zheng, Lei Yu, Wei Kuai, Sanhong Li
Towards a Serverless Java Runtime. ASE (2021)
Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
Multi-Facet Recommender Networks with Spherical Optimization. CoRR (2021)
Qianqiao Liang, Xiaolin Zheng, Yan Wang, Mengying Zhu
ERS: An explainable recommendation system with online learning, online recommendation, and online explanation. Inf. Sci. 562 (2021)
Qiliang Liu, Weihua Huan, Min Deng, Xiaolin Zheng, Haotao Yuan
Inferring Urban Land Use from Multi-Source Urban Mobility Data Using Latent Multi-View Subspace Clustering. ISPRS Int. J. Geo Inf. 10 (5) (2021)
Guofang Ma, Yuexuan Wang, Xiaolin Zheng, Xiaoye Miao, Qianqiao Liang
A trust-aware latent space mapping approach for cross-domain recommendation. Neurocomputing 431 (2021)
Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
Multi-Facet Recommender Networks with Spherical Optimization. ICDE (2021)
Fei Zheng, Chaochao Chen, Xiaolin Zheng
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation. CoRR (2021)
Yangbin Shi, Jun Lu, Shuqin Gu, Qiang Wang, Xiaolin Zheng
Semantic-Aware Deep Neural Attention Network for Machine Translation Detection. CCMT (2021)
Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao, Xiaolin Zheng
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation. EMNLP (Findings) (2021)
Haichao Zhang, Junyi Zeng, Dandan Han, Jinan Deng, Ning Hu, Xiaolin Zheng, Jun Yang
Deterministic Lateral Displacement-Based Separation of Magnetic Beads and Its Applications of Antibody Recognition. Sensors 20 (10) (2020)
Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. 11 (5) (2020)
Disheng Dong, Xiaolin Zheng, Xiaoye Miao
Collaborative topological filtering with multi-hop recurrent pathological aggregation. Knowl. Based Syst. 199 (2020)
Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR (2020)
Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang
Privacy-Preserving Graph Neural Network for Node Classification. CoRR (2020)
Surong Yan, Kwei-Jay Lin, Xiaolin Zheng, Wenyu Zhang
Using Latent Knowledge to Improve Real-Time Activity Recognition for Smart IoT. IEEE Trans. Knowl. Data Eng. 32 (3) (2020)
Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. CoRR (2020)
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. IJCAI (2020)
Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang
Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit. IJCAI (2020)
Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng
Practical Privacy Preserving POI Recommendation. CoRR (2020)
Lintao Hu, Xiuying Luo, Shangjie Tang, Xiaoying Wu, Lin Chen, Xiaolin Zheng, Wensheng Hou
Research on Power-Assisted Strategy and Device Based on Muscle Synergy. CIVEMSA (2019)
Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan
FinBrain: when finance meets AI 2.0. Frontiers Inf. Technol. Electron. Eng. 20 (7) (2019)
Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. CIKM (2019)
Xiaolin Zheng, Menghan Wang, Chaochao Chen, Yan Wang, Zhehao Cheng
EXPLORE: EXPLainable item-tag CO-REcommendation. Inf. Sci. 474 (2019)
Mengying Zhu, Xiaolin Zheng, Yan Wang, Yuyuan Li, Qianqiao Liang
Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling. CoRR (2019)
Yuxin Liu, Lintao Hu, Bowen Xiao, Xiao Y. Wu, Yanhan Chen, Donghai Ye, Wen S. Hou, Xiaolin Zheng
Design of Visual Gaze Target Locating Device Based on Depth Camera. CIVEMSA (2019)
Fan Jia, Xiaolin Zheng
A Request-Based Handover Strategy Using NDN for 5G. Wirel. Commun. Mob. Comput. 2018 (2018)
Menghan Wang, Mingming Gong, Xiaolin Zheng, Kun Zhang
Modeling Dynamic Missingness of Implicit Feedback for Recommendation. NeurIPS (2018)
Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. ACM Trans. Knowl. Discov. Data 12 (6) (2018)
Guofang Ma, Yuexuan Wang, Xiaolin Zheng, Menghan Wang
Leveraging Transitive Trust Relations to Improve Cross-Domain Recommendation. IEEE Access 6 (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaolin Zheng