Xiaolin Zheng - RankMe

229 papers A* 60A 8B 4C 4Journal 117Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Zero-Training Data Cleaning System With Large Language Models. IEEE Trans. Knowl. Data Eng. Chen Yang, Kai Huang, Yue Wu, Yangyang Wu, Mengying Zhu, Xiaoye Miao, Meng Xi, Xiaolin Zheng, Jianwei Yin
2026	J	`jnl`	Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation. IEEE Trans. Knowl. Data Eng. Fan Wang, Chaochao Chen, Weiming Liu, Lianyong Qi, Xuyun Zhang, Yanchao Tan, Mengying Zhu, Xiaolin Zheng
2026	A*	`conf`	DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning. AAAI Lifan Jiang, Mengying Zhu, Yangyang Wu, Xuan Liu, Xiaolin Zheng, Shenglin Ben
2026	J	`jnl`	FedDCA : Stable and unified Wasserstein adaptation to federated concept drift. Knowl. Based Syst. Liyu Fang, Wu Wen, Xiaolin Zheng
2026	A*	`conf`	FeedGuard: Online Critic-Guided Reinforcement Learning with Privacy-Preserving Feedback for Recommendation. WWW Mengying Zhu, Feiyue Chen, Lifan Jiang, Mengyuan Yang, Yangyang Wu, Guanjie Cheng, Xiaolin Zheng
2026	J	`jnl`	Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning. CoRR Jiajie Su, Haoyuan Wang, Xiaohua Feng, Yunshan Ma, Xiaobo Xia, Yuyuan Li, Xiaolin Zheng, Jianmao Xiao, Chaochao Chen
2026	A*	`conf`	LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation. WWW Pengyang Zhou, Zhihao Huang, Jiahe Xu, Wu Wen, Xiaolin Zheng, Chaochao Chen, Jianwei Yin
2026	A*	`conf`	Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. AAAI Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen
2026	A*	`conf`	TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains. AAAI Yidan Sun, Mengying Zhu, Feiyue Chen, Yangyang Wu, Xiaolei Dan, Mengyuan Yang, Xiaolin Zheng, Shenglin Ben
2025	J	`jnl`	A Remarkably Efficient Paradigm to Multimodal Large Language Models for Sequential Recommendation. CoRR Qiyong Zhong, Jiajie Su, Ming Yang, Yunshan Ma, Xiaolin Zheng, Chaochao Chen
2025	J	`jnl`	Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation. IEEE Trans. Serv. Comput. Jiajie Su, Xiaolin Zheng, Zibin Lin, Weiming Liu, Chaochao Chen, Jianwei Yin
2025	A*	`conf`	Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. ICLR Xiaohua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng
2025	A*	`conf`	DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. AAAI Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin
2025	J	`jnl`	Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation. CoRR Jiajie Su, Qiyong Zhong, Yunshan Ma, Yuwei Liu, Chao-Chao Chen, Xiaolin Zheng, Jianwei Yin, Tat-Seng Chua
2025	J	`jnl`	DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation. ACM Trans. Inf. Syst. Jiajie Su, Chaochao Chen, Yihao Wang, Weiming Liu, Yuyuan Li, Tao Wang, Zhigang Li, Xiaolin Zheng, Jianwei Yin
2025	A*	`conf`	Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization. ICML Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang, Xiaolin Zheng
2025	A*	`conf`	FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. ICML Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua
2025	J	`jnl`	FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. CoRR Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chao-Chao Chen, Xiaolin Zheng, Tat-Seng Chua
2025	A	`conf`	FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. WSDM Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang
2025	A*	`conf`	FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. AAAI Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
2025	A*	`conf`	Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. SIGIR Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
2025	A*	`conf`	Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. WWW Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025	J	`jnl`	Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. CoRR Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025	A*	`conf`	LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. AAAI Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng
2025	J	`jnl`	LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. CoRR Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng
2025	—	`conf`	Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation. KDD (2) Jiajie Su, Chaochao Chen, Weiming Liu, Yuhang Wang, Yihao Wang, Zheqi Lv, Xiaolin Zheng, Jianwei Yin
2025	J	`jnl`	Numerical Study of Asymmetry in Blast Pressure Propagation and Rock Damage Under Eccentric Decoupled Charges. Symmetry Pin Wang, Anping Huang, Xiaolin Zheng, Shuting Zhou
2025	A*	`conf`	Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems. WWW Xiaohua Feng, Yuyuan Li, Fengyuan Yu, Li Zhang, Chaochao Chen, Xiaolin Zheng
2025	J	`jnl`	Post-Training Attribute Unlearning in Recommender Systems. ACM Trans. Inf. Syst. Chaochao Chen, Yizhao Zhang, Yuyuan Li, Jun Wang, Lianyong Qi, Xiaolong Xu, Xiaolin Zheng, Jianwei Yin
2025	J	`jnl`	Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm. CoRR Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiaolin Zheng, Chaochao Chen
2025	J	`jnl`	Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. CoRR Yuyuan Li, Junjie Fang, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han
2025	J	`jnl`	Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR Yixiu Liu, Zehui He, Yuyuan Li, Zhongxuan Han, Chaochao Chen, Xiaolin Zheng
2025	J	`jnl`	SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets. IEEE Trans. Knowl. Data Eng. Mengying Zhu, Mengyuan Yang, Yan Wang, Fei Wu, Qianqiao Liang, Chaochao Chen, Hua Wei, Xiaolin Zheng
2025	J	`jnl`	Structure-Preserving Counterfactual Regression for Personalized Consumer-Electronics Service Networks. IEEE Trans. Consumer Electron. Fan Wang, Weiming Liu, Chaochao Chen, Renwu Geng, Lianyong Qi, Xiaolin Zheng
2025	—	`conf`	Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training. KDD (2) Huabin Zhu, Chaochao Chen, Xinting Liao, Pengyang Zhou, Xiaolin Zheng
2025	J	`jnl`	TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domain. CoRR Yidan Sun, Mengying Zhu, Feiyue Chen, Yangyang Wu, Xiaolei Dan, Mengyuan Yang, Xiaolin Zheng, Shenglin Ben
2025	J	`jnl`	Towards Fairness Exploration and Optimization for Digital Service Networks. IEEE Trans. Serv. Comput. Zhongxuan Han, Li Zhang, Chaochao Chen, Xiaolin Zheng, Yuyuan Li, Shuiguang Deng, Guanjie Cheng, Schahram Dustdar
2024	—	`conf`	A Novel Glass Defect Detection Method for Mobile Phone Cover Combining Vision Transformer and Faster R-CNN. ICVISP Youhang Zhou, Xueli Shen, Zhuxi Ma, Keliang Huang, Xiaolin Zheng, Yongjian Min
2024	C	`conf`	Byzantine-Robust Compressed and Momentum-based Variance Reduction in Federated Learning. CSCWD Sihan Mao, Jianguang Zhang, Xiaodong Hu, Xiaolin Zheng
2024	A*	`conf`	CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. KDD Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng
2024	A*	`conf`	ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction. AAAI Mengpu Liu, Mengying Zhu, Xiuyuan Wang, Guofang Ma, Jianwei Yin, Xiaolin Zheng
2024	A*	`conf`	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. NeurIPS Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
2024	J	`jnl`	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. CoRR Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
2024	A*	`conf`	Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward. AAAI Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin
2024	A	`conf`	HEDGE: Heterogeneous Semantic Dynamic Graph Framework for Log Anomaly Detection in Digital Service Network. ICWS Bohao Qian, Mengying Zhu, Mengyuan Yang, Enze Wu, Guojie Xie, Yuebing Liang, Xiaolin Zheng
2024	J	`jnl`	Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. ACM Trans. Web Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
2024	A*	`conf`	Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. SIGIR Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li
2024	J	`jnl`	Integration of large language models and federated learning. Patterns Chaochao Chen, Xiaohua Feng, Yuyuan Li, Lingjuan Lyu, Jun Zhou, Xiaolin Zheng, Jianwei Yin
2024	A*	`conf`	Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. AAAI Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin
2024	A*	`conf`	Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong
2024	J	`jnl`	Making recommender systems forget: Learning and unlearning for erasable recommendation. Knowl. Based Syst. Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Junlin Liu, Jun Wang
2024	J	`jnl`	Microfluidic-Based Electrical Operation and Measurement Methods in Single-Cell Analysis. Sensors Xing Liu, Xiaolin Zheng
2024	J	`jnl`	Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. IEEE Trans. Knowl. Data Eng. Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
2024	B	`conf`	Modeling and Analysis of Over-the-Air Attack with QoS-Aware Scheduling: Queuing-based Approach. GLOBECOM Chen Zhang, Huici Wu, Xiaolin Zheng, Guoshun Nan, Xiaofeng Tao
2024	J	`jnl`	PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN. CoRR Fei Zheng, Chaochao Chen, Zhongxuan Han, Xiaolin Zheng
2024	J	`jnl`	Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. CoRR Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
2024	A*	`conf`	Protecting Split Learning by Potential Energy Loss. IJCAI Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin
2024	A*	`conf`	Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong
2024	A*	`conf`	Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
2024	J	`jnl`	Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CoRR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
2024	A*	`conf`	Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng
2024	J	`jnl`	WassFFed: Wasserstein Fair Federated Learning. CoRR Zhongxuan Han, Li Zhang, Chaochao Chen, Xiaolin Zheng, Fei Zheng, Yuyuan Li, Jianwei Yin
2023	J	`jnl`	Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu
2023	A	`conf`	Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CIKM Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
2023	J	`jnl`	Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CoRR Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
2023	A*	`conf`	Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow. IJCAI Xiaolin Zheng, Mengpu Liu, Mengying Zhu
2023	J	`jnl`	Defending Label Inference Attacks in Split Learning under Regression Setting. CoRR Haoze Qiu, Fei Zheng, Chaochao Chen, Xiaolin Zheng
2023	A*	`conf`	Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. ACM Multimedia Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang
2023	A*	`conf`	Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu
2023	J	`jnl`	Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network. Frontiers Inf. Technol. Electron. Eng. Qianqiao Liang, Hua Wei, Yaxi Wu, Feng Wei, Deng Zhao, Jianshan He, Xiaolin Zheng, Guofang Ma, Bing Han
2023	J	`jnl`	Federated Large Language Model: A Position Paper. CoRR Chaochao Chen, Xiaohua Feng, Jun Zhou, Jianwei Yin, Xiaolin Zheng
2023	J	`jnl`	Federated Learning for Short Text Clustering. CoRR Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng
2023	A	`conf`	Federated Learning on Non-iid Data via Local and Global Distillation. ICWS Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
2023	J	`jnl`	Federated Learning on Non-iid Data via Local and Global Distillation. CoRR Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
2023	J	`jnl`	Federated Unlearning via Active Forgetting. CoRR Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang
2023	J	`jnl`	Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang
2023	A	`conf`	Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. ICWS Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
2023	J	`jnl`	Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. CoRR Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
2023	A*	`conf`	In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. ACM Multimedia Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
2023	J	`jnl`	In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
2023	A	`conf`	Incentive-Driven Pricing Game for Multi-Edge Service Providers towards Optimal Profits. ICWS Shengye Pang, Xinkui Zhao, Jiayin Luo, Bangpeng Zheng, Jianwei Yin, Xiaolin Zheng
2023	A*	`conf`	Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. WWW Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao
2023	A*	`conf`	Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. WWW Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
2023	A*	`conf`	Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023	J	`jnl`	Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023	J	`jnl`	Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. CoRR Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng
2023	A*	`conf`	Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. ACM Multimedia Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
2023	J	`jnl`	Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. CoRR Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
2023	—	`conf`	PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical Logistic Regression. ICONIP (4) Sihan Mao, Xiaolin Zheng, Jianguang Zhang, Xiaodong Hu
2023	A*	`conf`	PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. AAAI Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
2023	J	`jnl`	PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. CoRR Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
2023	A*	`conf`	Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. ACM Multimedia Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
2023	A*	`conf`	Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective. AAAI Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng
2023	J	`jnl`	REFER: Randomized Online Factor Selection Framework for portfolio Management. Expert Syst. Appl. Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yan Wang, Biao Gong
2023	—	`conf`	Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. ACL (1) Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
2023	J	`jnl`	Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. CoRR Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
2023	J	`jnl`	Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. CoRR Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang
2023	J	`jnl`	Selective and collaborative influence function for efficient recommendation unlearning. Expert Syst. Appl. Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen
2023	A*	`conf`	Spotlight News Driven Quantitative Trading Based on Trajectory Optimization. IJCAI Mengyuan Yang, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, Menghan Wang
2023	A*	`conf`	UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. NeurIPS Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
2022	A*	`conf`	4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang
2022	A*	`conf`	A Smart Trader for Portfolio Management based on Normalizing Flows. IJCAI Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR 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
2022	J	`jnl`	An Online Transfer Learning Framework With Extreme Learning Machine for Automated Credit Scoring. IEEE Access Rana Alasbahi, Xiaolin Zheng
2022	A*	`conf`	Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. WWW Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	J	`jnl`	Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. CoRR Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	A*	`conf`	DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. ACM Multimedia Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
2022	J	`jnl`	DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. CoRR Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
2022	A*	`conf`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	J	`jnl`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	A*	`conf`	Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng
2022	A*	`conf`	Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. SIGIR Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen
2022	J	`jnl`	Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. CoRR Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	J	`jnl`	Exponential Gradient with Momentum for Online Portfolio Selection. Expert Syst. Appl. Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Jiawei Wang, Shuai Xu
2022	J	`jnl`	FinBrain 2.0: when finance meets trustworthy AI. Frontiers Inf. Technol. Electron. Eng. Jun Zhou, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng
2022	A*	`conf`	HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. IJCAI Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
2022	J	`jnl`	HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. CoRR Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
2022	J	`jnl`	Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems. CoRR Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
2022	J	`jnl`	LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation. ACM Trans. Inf. Syst. Surong Yan, Kwei-Jay Lin, Xiaolin Zheng, Haosen Wang
2022	J	`jnl`	Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation. CoRR Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Junlin Liu
2022	J	`jnl`	Making Split Learning Resilient to Label Leakage by Potential Energy Loss. CoRR Fei Zheng, Chaochao Chen, Binhui Yao, Xiaolin Zheng
2022	A*	`conf`	MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng
2022	J	`jnl`	Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Xiaolin Zheng, Menghan Wang, Renjun Xu, Jianmeng Li, Yan Wang
2022	—	`conf`	Partial Relaxed Optimal Transport for Denoised Recommendation. DL4SR@CIKM Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng
2022	J	`jnl`	Partial Relaxed Optimal Transport for Denoised Recommendation. CoRR Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng
2022	J	`jnl`	Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2022	J	`jnl`	Towards secure and practical machine learning via secret sharing and random permutation. Knowl. Based Syst. Fei Zheng, Chaochao Chen, Xiaolin Zheng, Mingjie Zhu
2022	A*	`conf`	Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2022	—	`conf`	WISE: Wavelet based Interpretable Stock Embedding for Risk-Averse Portfolio Management. WWW (Companion Volume) Mengying Zhu, Yan Wang, Fei Wu, Mengyuan Yang, Cheng Chen, Qianqiao Liang, Xiaolin Zheng
2021	J	`jnl`	A trust-aware latent space mapping approach for cross-domain recommendation. Neurocomputing Guofang Ma, Yuexuan Wang, Xiaolin Zheng, Xiaoye Miao, Qianqiao Liang
2021	A*	`conf`	An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets. IJCAI Qianqiao Liang, Mengying Zhu, Xiaolin Zheng, Yan Wang
2021	—	`conf`	Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation. EMNLP (Findings) Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao, Xiaolin Zheng
2021	J	`jnl`	Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation. CoRR Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao, Xiaolin Zheng
2021	J	`jnl`	Inferring Urban Land Use from Multi-Source Urban Mobility Data Using Latent Multi-View Subspace Clustering. ISPRS Int. J. Geo Inf. Qiliang Liu, Weihua Huan, Min Deng, Xiaolin Zheng, Haotao Yuan
2021	A*	`conf`	Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. NeurIPS Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng
2021	A*	`conf`	Multi-Facet Recommender Networks with Spherical Optimization. ICDE Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
2021	J	`jnl`	Multi-Facet Recommender Networks with Spherical Optimization. CoRR Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng
2021	J	`jnl`	O Inf. Sci. Qianqiao Liang, Xiaolin Zheng, Yan Wang, Mengying Zhu
2021	—	`conf`	Semantic-Aware Deep Neural Attention Network for Machine Translation Detection. CCMT Yangbin Shi, Jun Lu, Shuqin Gu, Qiang Wang, Xiaolin Zheng
2021	J	`jnl`	Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation. CoRR Fei Zheng, Chaochao Chen, Xiaolin Zheng
2021	A*	`conf`	Towards a Serverless Java Runtime. ASE Yifei Zhang, Tianxiao Gu, Xiaolin Zheng, Lei Yu, Wei Kuai, Sanhong Li
2020	A*	`conf`	A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. IJCAI Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
2020	J	`jnl`	Collaborative topological filtering with multi-hop recurrent pathological aggregation. Knowl. Based Syst. Disheng Dong, Xiaolin Zheng, Xiaoye Miao
2020	J	`jnl`	Deterministic Lateral Displacement-Based Separation of Magnetic Beads and Its Applications of Antibody Recognition. Sensors Haichao Zhang, Junyi Zeng, Dandan Han, Jinan Deng, Ning Hu, Xiaolin Zheng, Jun Yang
2020	A*	`conf`	Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit. IJCAI Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. CoRR Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Privacy-Preserving Graph Neural Network for Node Classification. CoRR Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang
2020	J	`jnl`	Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. CoRR Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
2020	J	`jnl`	Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2020	J	`jnl`	Using Latent Knowledge to Improve Real-Time Activity Recognition for Smart IoT. IEEE Trans. Knowl. Data Eng. Surong Yan, Kwei-Jay Lin, Xiaolin Zheng, Wenyu Zhang
2019	J	`jnl`	Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling. CoRR Mengying Zhu, Xiaolin Zheng, Yan Wang, Yuyuan Li, Qianqiao Liang
2019	A	`conf`	DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. CIKM Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng
2019	—	`conf`	Design of Visual Gaze Target Locating Device Based on Depth Camera. CIVEMSA Yuxin Liu, Lintao Hu, Bowen Xiao, Xiao Y. Wu, Yanhan Chen, Donghai Ye, Wen S. Hou, Xiaolin Zheng
2019	J	`jnl`	EXPLORE: EXPLainable item-tag CO-REcommendation. Inf. Sci. Xiaolin Zheng, Menghan Wang, Chaochao Chen, Yan Wang, Zhehao Cheng
2019	J	`jnl`	FinBrain: when finance meets AI 2.0. Frontiers Inf. Technol. Electron. Eng. Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan
2019	—	`conf`	Research on Power-Assisted Strategy and Device Based on Muscle Synergy. CIVEMSA Lintao Hu, Xiuying Luo, Shangjie Tang, Xiaoying Wu, Lin Chen, Xiaolin Zheng, Wensheng Hou
2018	J	`jnl`	A Request-Based Handover Strategy Using NDN for 5G. Wirel. Commun. Mob. Comput. Fan Jia, Xiaolin Zheng
2018	A*	`conf`	Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation. AAAI Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang
2018	J	`jnl`	FinBrain: When Finance Meets AI 2.0. CoRR Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan
2018	B	`conf`	How Local Information Improves Rendezvous in Cognitive Radio Networks. SECON Yongqin Fu, Yuexuan Wang, Zhaoquan Gu, Xiaolin Zheng, Tianhao Wei, Zhen Cao, Heming Cui, Francis C. M. Lau
2018	J	`jnl`	Leveraging Transitive Trust Relations to Improve Cross-Domain Recommendation. IEEE Access Guofang Ma, Yuexuan Wang, Xiaolin Zheng, Menghan Wang
2018	A*	`conf`	Modeling Dynamic Missingness of Implicit Feedback for Recommendation. NeurIPS Menghan Wang, Mingming Gong, Xiaolin Zheng, Kun Zhang
2018	J	`jnl`	Non-Uniform Sample Assignment in Training Set Improving Recognition of Hand Gestures Dominated with Similar Muscle Activities. Frontiers Neurorobotics Yao Zhang, Yanjian Liao, Xiaoying Wu, Lin Chen, Qiliang Xiong, Zhixian Gao, Xiaolin Zheng, Guanglin Li, Wensheng Hou
2018	A*	`conf`	Recurrent Collaborative Filtering for Unifying General and Sequential Recommender. IJCAI Disheng Dong, Xiaolin Zheng, Ruixun Zhang, Yan Wang
2018	J	`jnl`	Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. ACM Trans. Knowl. Discov. Data Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
2018	—	`conf`	Sub-Thermionic Steep Switching in Hole-Doped WSe2 Transistors. DRC Connor J. McClellan, Eilam Yalon, Lili Cai, Saurabh Suryavanshi, Xiaolin Zheng, Eric Pop
2018	J	`jnl`	User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning. CoRR Menghan Wang, Xiaolin Zheng, Kun Zhang
2017	J	`jnl`	An Approach for Building Efficient and Accurate Social Recommender Systems Using Individual Relationship Networks. IEEE Trans. Knowl. Data Eng. Surong Yan, Kwei-Jay Lin, Xiaolin Zheng, Wenyu Zhang, Xiaoqing Feng
2017	J	`jnl`	Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model. Int. J. Comput. Assist. Radiol. Surg. Min Li, Sarah Joy Castillo, Richard Castillo, Edward Castillo, Thomas Guerrero, Liang Xiao, Xiaolin Zheng
2017	J	`jnl`	Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation. CoRR Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang
2017	J	`jnl`	Deep Collaborative Autoencoder for Recommender Systems: A Unified Framework for Explicit and Implicit Feedback. CoRR Qibing Li, Xiaolin Zheng
2017	—	`conf`	Investment Recommendation with Total Capital Value Maximization in Online P2P Lending. ICEBE Yanchao Tan, Xiaolin Zheng, Mengying Zhu, Chaohui Wang, Zhifeng Zhu, Lifeng Yu
2017	—	`conf`	Optimize Recommendation System with Topic Modeling and Clustering. ICEBE Qianqiao Liang, Xiaolin Zheng, Menghan Wang, Haodong Chen, Pin Lu
2016	J	`jnl`	A hybrid approach for movie recommendation via tags and ratings. Electron. Commer. Res. Appl. Shouxian Wei, Xiaolin Zheng, Deren Chen, Chaochao Chen
2016	A*	`conf`	Capturing Semantic Correlation for Item Recommendation in Tagging Systems. AAAI Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen
2016	J	`jnl`	Combining Trust Propagation and Topic-Level User Interest Expansion in Recommender Systems. Int. J. Web Serv. Res. Zukun Yu, William Wei Song, Xiaolin Zheng, Deren Chen
2016	J	`jnl`	Incorporating social information to perform diverse replier recommendation in question and answer communities. J. Inf. Sci. Yingchun Liu, Zhen Lin, Xiaolin Zheng, Deren Chen
2016	—	`conf`	P2P Lending Platforms Bankruptcy Prediction Using Fuzzy SVM with Region Information. ICEBE Menghan Wang, Xiaolin Zheng, Mengying Zhu, Zhongkai Hu
2016	J	`jnl`	Recommender System with Composite Social Trust Networks. Int. J. Web Serv. Res. Chaochao Chen, Xiaolin Zheng, Mengying Zhu, Litao Xiao
2016	—	`conf`	The impact of sEMG feature weight on the recognition of similar grasping gesture. ICARM Yao Zhang, Wensheng Hou, Hongyan Luo, Xiaoying Wu, Yanjian Liao, Xingyu Fan, Xiaolin Zheng
2016	J	`jnl`	Topic tensor factorization for recommender system. Inf. Sci. Xiaolin Zheng, Weifeng Ding, Zhen Lin, Chaochao Chen
2015	J	`jnl`	A Hybrid Trust-Based Recommender System for Online Communities of Practice. IEEE Trans. Learn. Technol. Xiaolin Zheng, Chaochao Chen, Jui-Long Hung, Wu He, Fuxing Hong, Zhen Lin
2015	J	`jnl`	A graph-based comprehensive reputation model: Exploiting the social context of opinions to enhance trust in social commerce. Inf. Sci. Surong Yan, Xiaolin Zheng, Yan Wang, William Wei Song, Wen-Yu Zhang
2015	J	`jnl`	Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood. Expert Syst. Appl. Xiaolin Zheng, Zhen Lin, Huan Xu, Chaochao Chen, Ting Ye
2015	—	`conf`	Review Sentiment Analysis Based on Deep Learning. ICEBE Zhongkai Hu, Jianqing Hu, Weifeng Ding, Xiaolin Zheng
2014	—	`conf`	A Hybrid Movie Recommendation Approach via Social Tags. ICEBE Shouxian Wei, Litao Xiao, Xiaolin Zheng, Deren Chen
2014	J	`jnl`	An efficient and reliable approach for quality-of-service-aware service composition. Inf. Sci. Jun Li, Xiaolin Zheng, Song-Tao Chen, William Wei Song, Deren Chen
2014	—	`conf`	Collaborative Topic Modeling for Text Tensors. ICEBE Weifeng Ding, Xiaolin Zheng, Chaochao Chen, Zukun Yu, Deren Chen
2014	A*	`conf`	Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems. AAAI Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin
2014	J	`jnl`	Deformable image registration for temporal subtraction of chest radiographs. Int. J. Comput. Assist. Radiol. Surg. Min Li, Edward Castillo, Hongyan Luo, Xiaolin Zheng, Richard Castillo, Dmitriy Meshkov, Thomas Guerrero
2014	J	`jnl`	Incorporating appraisal expression patterns into topic modeling for aspect and sentiment word identification. Knowl. Based Syst. Xiaolin Zheng, Zhen Lin, Xiaowei Wang, Kwei-Jay Lin, Meina Song
2014	J	`jnl`	Personalized recommendation based on review topics. Serv. Oriented Comput. Appl. Xiaolin Zheng, Weifeng Ding, Jingnan Xu, Deren Chen
2013	C	`conf`	A Recommender System Model Combining Trust with Topic Maps. APWeb Zukun Yu, William Wei Song, Xiaolin Zheng, Deren Chen
2013	J	`jnl`	Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach. Decis. Support Syst. Xiaolin Zheng, Shuai Zhu, Zhangxi Lin
2013	J	`jnl`	Exploiting two-faceted web of trust for enhanced-quality recommendations. Expert Syst. Appl. Surong Yan, Xiaolin Zheng, Deren Chen, Yan Wang
2013	—	`conf`	Making Recommendations on Microblogs through Topic Modeling. WISE Workshops Chaochao Chen, Xiaolin Zheng, Chaofei Zhou, Deren Chen
2013	—	`conf`	Recommender System Based on Social Trust Relationships. ICEBE Chaochao Chen, Jing Zeng, Xiaolin Zheng, Deren Chen
2013	J	`jnl`	Theoretical Analysis of the Optical Propagation Characteristics in a Fiber-Optic Surface Plasmon Resonance Sensor. Sensors Linlin Liu, Jun Yang, Zhong Yang, Xiaoping Wan, Ning Hu, Xiaolin Zheng
2013	J	`jnl`	Word sense disambiguation based on positional weighted context. J. Inf. Sci. Shilin Huang, Xiaolin Zheng, Haixiao Kang, Deren Chen
2012	J	`jnl`	A Comprehensive Failure Recovery Algorithm for LRTs Based on Paired Net. J. Softw. Xiaoyong Mei, Yiyan Fan, Changqin Huang, Xiaolin Zheng
2012	J	`jnl`	Algorithm for recommending answer providers in community-based question answering. J. Inf. Sci. Xiaolin Zheng, Zhongkai Hu, Aiwu Xu, Deren Chen, Kuang Liu, Bo Li
2012	J	`jnl`	Blind source separation with time series variational Bayes expectation maximization algorithm. Digit. Signal Process. Shijun Sun, Chenglin Peng, Wensheng Hou, Jun Zheng, Yingtao Jiang, Xiaolin Zheng
2012	—	`conf`	Personalized Recommendation Based on Reviews and Ratings Alleviating the Sparsity Problem of Collaborative Filtering. ICEBE Jingnan Xu, Xiaolin Zheng, Weifeng Ding
2012	J	`jnl`	Trust Based Service Selection in Service Oriented Environment. Int. J. Web Serv. Res. Jun Li, Xiaolin Zheng, Deren Chen, William Wei Song
2011	J	`jnl`	A Micropower Miniature Piezoelectric Actuator for Implantable Middle Ear Hearing Device. IEEE Trans. Biomed. Eng. Zhigang Wang, Robert Mills, Hongyan Luo, Xiaolin Zheng, Wensheng Hou, Lijun Wang, Stuart I. Brown, Alfred Cuschieri
2011	J	`jnl`	A Reputation Evaluation Approach Based on Fuzzy Relation. Int. J. Comput. Intell. Syst. Meiyu Fang, Xiaolin Zheng, Deren Chen
2011	—	`conf`	News Information Extraction Based on Adaptive Weighting Using Unsupervised Bayesian Algorithm. WISM (2) Shilin Huang, Xiaolin Zheng, Xiaowei Wang, Deren Chen
2011	J	`jnl`	Rule-based service charging method for composite services. Int. J. Serv. Technol. Manag. Xiaolin Zheng, Zhen Lin, Jianyue Wang, Yijun Bei
2011	—	`conf`	Segmentation of brain tissue based on connected component labeling and mathematic morphology. BMEI Min Li, Xiaolin Zheng, Xiaoping Wan, Hongyan Luo, Shaoxiang Zhang, Liwen Tan
2011	J	`jnl`	User-centric trust and reputation model for personal and trusted service selection. Int. J. Intell. Syst. Surong Yan, Xiaolin Zheng, Deren Chen, Wen-Yu Zhang
2010	—	`conf`	A Computational Trust Model in C2C E-Commerce Environment. ICEBE Jun Li, Xiaolin Zheng, Yafeng Wu, Deren Chen
2010	—	`conf`	Dynamic Service Selection with Reputation Management. ICSS Surong Yan, Xiaolin Zheng, Deren Chen
2009	—	`conf`	A Network-Based Environment of Female Pelvic Region for Anatomical Education Based on Chinese Visible Human Datasets. BMEI Xiaolin Zheng, Nan Hu, Hongyan Luo, Liwen Tan, Shaoxiang Zhang, Jinlu Shan
2009	—	`conf`	An Ontology-Driven Discovery Architecture to Support Service Composition. ICEBE Yingzi Wang, Xiaolin Zheng, Deren Chen
2009	C	`conf`	Dynamic Social Network Analysis Using Latent Space Model and an Integrated Clustering Algorithm. DASC Aiwu Xu, Xiaolin Zheng
2009	A	`conf`	The Fourth Party Service Platform and Service Charging. ICWS Xuhui He, Xiaolin Zheng, Deren Chen, Jianyue Wang
2008	A*	`conf`	Context-sensitive QoS model: a rule-based approach to web service composition. WWW Tao Zhou, Xiaolin Zheng, William Wei Song, Xiaofeng Du, Deren Chen
2008	—	`conf`	Policy-Based Web Service Selection in Context Sensitive Environment. SERVICES I Tao Zhou, Xiaolin Zheng, William Wei Song, Xiaofeng Du, Deren Chen
2008	—	`conf`	URL Rule Based Focused Crawler. ICEBE Xiaolin Zheng, Tao Zhou, Zukun Yu, Deren Chen
2007	C	`conf`	Personalized Web Service Composition Model for Non-diploma Distance Learning. CSCWD Tao Zhou, Xiaolin Zheng, Deren Chen
2006	—	`conf`	A Semantic Web Approach to "Request for Quote" in E-Commerce. APWeb Workshops Wen-ying Guo, Deren Chen, Xiaolin Zheng
2006	—	`conf`	Objective Function Analysis for QoS-AwareWeb Service Composition. ICEBE Tao Zhou, Deren Chen, Xiaolin Zheng
2006	—	`conf`	Research of Web-based Negotiation Support System in Collaborative Commerce. ICEBE Wenyu Zhang, Xiaolin Zheng
2006	B	`conf`	Towards an Agent-Based Robust Collaborative Virtual Environment for E-Learning in the Service Grid. PRIMA Changqin Huang, Fuyin Xu, Xianghua Xu, Xiaolin Zheng
2005	—	`conf`	B2B Integration: An Ontology-Based Framework. SKG Yingzi Wang, Deren Chen, Xiaolin Zheng
2005	—	`conf`	Research of architecture for grid manufacturing. CSCWD (1) Xiaolin Zheng, Deren Chen, Lin Lu
2004	—	`conf`	Secure strategy for networked manufacturing system. SMC (5) Xiaolin Zheng, Deren Chen, Zigui Wu
2003	B	`conf`	Study of Mobile Payments System. CEC Xiaolin Zheng, Deren Chen