Xiaofeng Zhang

90 papers A* 9A 4B 3C 2Journal 49Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoDeR+: Interest-aware Counterfactual Reasoning for Sequential Recommendation.
ACM Trans. Inf. Syst.
Sitao Lin, Shuai Tang, Xiaofeng Zhang, Jianghong Ma, Ziao Wang
2026 A* conf
Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure.
AAAI
Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2026 A* conf
SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems.
AAAI
Jianghong Ma, Changran He, Dezhao Yang, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2026 J jnl
Understanding Over-Squashing in Dynamic Graphs.
IEEE Trans. Syst. Man Cybern. Syst.
Chaokai Wu, Xiaofeng Zhang, Jianghong Ma
2025 J jnl
Beyond Static Boundaries: Unraveling Temporal Overlapping Communities with Information Bottleneck Guidance.
ACM Trans. Knowl. Discov. Data
Moli Lu, Linhao Luo, Xiaofeng Zhang
2025 A* conf
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation.
AAAI
Shuai Tang, Sitao Lin, Jianghong Ma, Xiaofeng Zhang
2025 J jnl
Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure.
CoRR
Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2025 A* conf
Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks.
ACM Multimedia
Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2025 J jnl
Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks.
CoRR
Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2025 A conf
GiVE: Guiding Visual Encoder to Perceive Overlooked Information.
ICME
Junjie Li, Jianghong Ma, Xiaofeng Zhang, Yuhang Li, Jianyang Shi
2025 J jnl
Rrcn: a reinforced random convolutional network-based reciprocal recommendation approach for online dating.
Knowl. Inf. Syst.
Linhao Luo, Liqi Yang, Ju Xin, Yixiang Fang, Xiaofeng Zhang, Kai Liu
2025 J jnl
Uncovering Intrinsic Capabilities: A Paradigm for Data Curation in Vision-Language Models.
CoRR
Junjie Li, Ziao Wang, Jianghong Ma, Xiaofeng Zhang
2024 A* conf
Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling.
IJCAI
Ziao Wang, Xiaofeng Zhang, Hongwei Du
2024 J jnl
Generating Long Financial Report Using Conditional Variational Autoencoders With Knowledge Distillation.
IEEE Trans. Artif. Intell.
Ziao Wang, Yunpeng Ren, Xiaofeng Zhang, Yiyuan Wang
2024 J jnl
GiVE: Guiding Visual Encoder to Perceive Overlooked Information.
CoRR
Junjie Li, Jianghong Ma, Xiaofeng Zhang, Yuhang Li, Jianyang Shi
2024 J jnl
Mutual Information Guided Financial Report Generation With Domain Adaption.
IEEE Trans. Emerg. Top. Comput. Intell.
Ziao Wang, Xiaofeng Zhang, Hongwei Du
2024 B conf
OCDIB: An Information Bottleneck-Guided Approach for Overlapping Community Detection.
IJCNN
Moli Lu, Linhao Luo, Xiaofeng Zhang
2023 A* conf
Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data.
IJCAI
Ziao Wang, Zelin Jiang, Xiaofeng Zhang, Jaehyeon Soon, Jialu Zhang, Wang Xiaoyao, Hongwei Du
2023 J jnl
GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs.
IEEE Trans. Knowl. Data Eng.
Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2023 J jnl
MedGraph: malicious edge detection in temporal reciprocal graph via multi-head attention-based GNN.
Neural Comput. Appl.
Kai Chen, Ziao Wang, Kai Liu, Xiaofeng Zhang, Linhao Luo
2023 J jnl
Prot2GO: Predicting GO Annotations From Protein Sequences and Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoshuai Zhang, Lixin Wang, Hucheng Liu, Xiaofeng Zhang, Bo Liu, Yadong Wang, Junyi Li
2023 J jnl
VDPC: Variational density peak clustering algorithm.
Inf. Sci.
Yizhang Wang, Di Wang, You Zhou, Xiaofeng Zhang, Chai Quek
2023 J jnl
When Convolutional Network Meets Temporal Heterogeneous Graphs: An Effective Community Detection Method.
IEEE Trans. Knowl. Data Eng.
Yaping Zheng, Xiaofeng Zhang, Shiyi Chen, Xinni Zhang, Xiaofei Yang, Di Wang
2022 J jnl
DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating.
Neural Comput. Appl.
Linhao Luo, Xiaofeng Zhang, Xiaoyun Chen, Kai Liu, Dan Peng, Xiaofei Yang
2022 A conf
Efficient Reachability Query with Extreme Labeling Filter.
WSDM
Zhixiang Su, Di Wang, Xiaofeng Zhang, Lizhen Cui, Chunyan Miao
2022 J jnl
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs.
CoRR
Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2022 J jnl
Prediction of the disease causal genes based on heterogeneous network and multi-feature combination method.
Comput. Biol. Chem.
Lexiang Wang, Mingxiao Wu, Yulin Wu, Xiaofeng Zhang, Sen Li, Ming He, Fan Zhang, Yadong Wang, Junyi Li
2022 J jnl
VDPC: Variational Density Peak Clustering Algorithm.
CoRR
Yizhang Wang, Di Wang, You Zhou, Xiaofeng Zhang, Chai Quek
2022 A* conf
Why do Semantically Unrelated Categories Appear in the Same Session?: A Demand-aware Method.
SIGIR
Liqi Yang, Linhao Luo, Xiaofeng Zhang, Fengxin Li, Xinni Zhang, Zelin Jiang, Shuai Tang
2021 J jnl
A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation.
Remote. Sens.
Chuyao Luo, Xutao Li, Yongliang Wen, Yunming Ye, Xiaofeng Zhang
2021 J jnl
A hybrid deep generative neural model for financial report generation.
Knowl. Based Syst.
Yunpeng Ren, Wenxin Hu, Ziao Wang, Xiaofeng Zhang, Yiyuan Wang, Xuan Wang
2021 — conf
Building the Directed Semantic Graph for Coherent Long Text Generation.
EMNLP (1)
Ziao Wang, Xiaofeng Zhang, Hongwei Du
2021 J jnl
CP-GNN: A Software for Community Detection in Heterogeneous Information Networks.
Softw. Impacts
Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2021 A conf
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.
CIKM
Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2021 J jnl
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.
CoRR
Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2021 J jnl
Wasserstein autoencoders for collaborative filtering.
Neural Comput. Appl.
Xiaofeng Zhang, Jingbin Zhong, Kai Liu
2020 — conf
A Motif-Based Graph Neural Network to Reciprocal Recommendation for Online Dating.
ICONIP (2)
Linhao Luo, Kai Liu, Dan Peng, Yaolin Ying, Xiaofeng Zhang
2020 J jnl
A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness.
Inf. Sci.
Xiaofeng Zhang, Huijie Liu, Xiaoyun Chen, Jingbin Zhong, Di Wang
2020 J jnl
A probabilistic approach towards an unbiased semi-supervised cluster tree.
Knowl. Based Syst.
Zhaocai Sun, Xiaofeng Zhang, Yunming Ye, Xiaowen Chu, Zhi Liu
2020 — conf
Correlated Wasserstein Autoencoder for Implicit Data Recommendation.
WI/IAT
Linying Yao, Jingbin Zhong, Xiaofeng Zhang, Linhao Luo
2020 — conf
Generating Financial Reports from Macro News via Multiple Edits Neural Networks.
ECML/PKDD (3)
Wenxin Hu, Xiaofeng Zhang, Yunpeng Ren
2020 — conf
Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process.
WI/IAT
Yaping Zheng, Junda Wu, Xiaofeng Zhang, Xiaowen Chu
2020 J jnl
McDPC: multi-center density peak clustering.
Neural Comput. Appl.
Yizhang Wang, Di Wang, Xiaofeng Zhang, Wei Pang, Chunyan Miao, Ah-Hwee Tan, You Zhou
2020 J jnl
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating.
CoRR
Linhao Luo, Liqi Yang, Ju Xin, Yixiang Fang, Xiaofeng Zhang, Xiaofei Yang, Kai Chen, Zhiyuan Zhang, Kai Liu
2020 — conf
Session-Based Recommendation with Graph Neural Networks for Repeat Consumption.
ICCPR
Gang Yang, Xiaofeng Zhang, Yueping Li
2020 A conf
Structure Matters: Towards Generating Transferable Adversarial Images.
ECAI
Dan Peng, Zizhan Zheng, Linhao Luo, Xiaofeng Zhang
2020 J jnl
Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification.
Remote. Sens.
Xiaofei Yang, Xiaofeng Zhang, Yunming Ye, Raymond Y. K. Lau, Shijian Lu, Xutao Li, Xiaohui Huang
2019 J jnl
CPU versus GPU: which can perform matrix computation faster - performance comparison for basic linear algebra subprograms.
Neural Comput. Appl.
Feng Li, Yunming Ye, Zhaoyang Tian, Xiaofeng Zhang
2019 — conf
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models.
IEEE BigData
Xin He, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang
2019 J jnl
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models.
CoRR
Xin He, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu
2019 — conf
Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks.
ICDE Workshops
Xin Ju, Xiaofeng Zhang, William K. Cheung
2019 J jnl
Heterogeneous Graph Convolutional Networks for Temporal Community Detection.
CoRR
Yaping Zheng, Shiyi Chen, Xiaofeng Zhang, Di Wang
2019 J jnl
REDPC: A residual error-based density peak clustering algorithm.
Neurocomputing
Milan Deepak Parmar, Di Wang, Xiaofeng Zhang, Ah-Hwee Tan, Chunyan Miao, Jianhua Jiang, You Zhou
2019 J jnl
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net.
IEEE Trans. Geosci. Remote. Sens.
Xiaofei Yang, Xutao Li, Yunming Ye, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang
2019 B conf
Road Detection via Deep Residual Dense U-Net.
IJCNN
Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, Bowen Zhang
2019 J jnl
Structure Matters: Towards Generating Transferable Adversarial Images.
CoRR
Dan Peng, Zizhan Zheng, Linhao Luo, Xiaofeng Zhang
2018 J jnl
An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings.
Neurocomputing
Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Ng, You Zhou
2018 J jnl
Enhancing social network privacy with accumulated non-zero prior knowledge.
Inf. Sci.
Yue Wang, Lin Yang, Xiaoyun Chen, Xiaofeng Zhang, Zhenyu He
2018 J jnl
Hyperspectral Image Classification With Deep Learning Models.
IEEE Trans. Geosci. Remote. Sens.
Xiaofei Yang, Yunming Ye, Xutao Li, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang
2018 J jnl
STEM: a suffix tree-based method for web data records extraction.
Knowl. Inf. Syst.
Yixiang Fang, Xiaoqin Xie, Xiaofeng Zhang, Reynold Cheng, Zhiqiang Zhang
2017 — conf
Forecast customer flow using long short-term memory networks.
SPAC
Zongming Yin, Junzhang Zhu, Xiaofeng Zhang
2017 J jnl
Learning Discriminative Subspace Models for Weakly Supervised Face Detection.
IEEE Trans. Ind. Informatics
Qiaoying Huang, Chris Kui Jia, Xiaofeng Zhang, Yunming Ye
2017 J jnl
Towards well-specified semi-supervised model-based classifiers via structural adaptation.
CoRR
Zhaocai Sun, William K. Cheung, Xiaofeng Zhang, Jun Yang
2016 — conf
Effective Approach to Extract Road Map from Unmanned Aerial Vehicle Videos.
ICSS
Chuan Xiao, Xiaofeng Zhang, Yunming Ye, Xishuang Han
2016 J jnl
Mining from distributed and abstracted data.
WIREs Data Mining Knowl. Discov.
Xiaofeng Zhang, William K. Cheung, Yunming Ye
2016 — conf
Protecting Link Privacy for Large Correlated Social Networks.
CCBD
Lin Yang, Yuxing Fei, Xiaofeng Zhang
2016 J jnl
Visual tracking via exemplar regression model.
Knowl. Based Syst.
Xiao Ma, Qiao Liu, Zhenyu He, Xiaofeng Zhang, Wen-Sheng Chen
2015 J jnl
A robust local sparse tracker with global consistency constraint.
Signal Process.
Xinhua You, Xin Li, Zhenyu He, Xiaofeng Zhang
2015 — conf
MLRF: Multi-label Classification Through Random Forest with Label-Set Partition.
ICIC (3)
Feng Liu, Xiaofeng Zhang, Yunming Ye, Yahong Zhao, Yan Li
2015 — conf
Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection.
ICDM Workshops
Qiaoying Huang, Xiaofeng Zhang, Kui Jia, Xishuang Han, Yunming Ye
2015 J jnl
The Author-Topic-Community model for author interest profiling and community discovery.
Knowl. Inf. Syst.
Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Xin Li
2015 — conf
Weakly Supervised Object Class Learning Via Discriminative Subspace Models.
WI-IAT (1)
Qiaoying Huang, Kui Jia, Xiaofeng Zhang, Xishuang Han
2014 C conf
A Lexicon-Based Multi-class Semantic Orientation Analysis for Microblogs.
APWeb
Yuqing Li, Xin Li, Fan Li, Xiaofeng Zhang
2014 — conf
An efficient and practical calibration method for roadside camera using two vanishing points.
SPAC
Yuan Zheng, Zhenyu He, Wei-Guo Yang, Xiaofeng Zhang
2014 — conf
Clustering Based Topic Events Detection on Text Stream.
ACIIDS (1)
Chunshan Li, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Shengchun Deng, Xiaofei Xu
2014 — conf
Protecting Data Privacy from Being Inferred from High Dimensional Correlated Data.
WI-IAT (1)
Huafeng Ba, Xiaoming Gao, Xiaofeng Zhang, Zhenyu He
2013 — conf
Cluster tree based multi-label classification for protein function prediction.
BIBM
Qingyao Wu, Yunming Ye, Xiaofeng Zhang, Shen-Shyang Ho
2012 — conf
Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification.
Web Intelligence
Zhaocai Sun, Yunming Ye, Xiaofeng Zhang, Zhexue Huang, Shudong Chen, Zhi Liu
2012 C conf
The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure.
ADMA
Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang
2011 J jnl
Learning latent variable models from distributed and abstracted data.
Inf. Sci.
Xiaofeng Zhang, William K. Cheung, Chun-hung Li
2010 J jnl
A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain.
Int. J. Appl. Logist.
Xiaofeng Zhang, William K. Cheung, Zongwei Luo, Frank Tong
2007 — conf
A Game Theoretic Approach to Active Distributed Data Mining.
IAT
Xiaofeng Zhang, William K. Cheung
2006 — conf
A Privacy-Aware Service-oriented Platform for Distributed Data Mining.
CEC/EEE
Xiaofeng Zhang, Ho-Fai Wong, William K. Cheung
2006 B conf
An Adaptation of EPCA to Image Compression and Reconstruction.
SMC
Xin Li, Zhili Wu, Xiaofeng Zhang
2006 — conf
Graph-Based Abstraction for Privacy Preserving Manifold Visualization.
IAT Workshops
Xiaofeng Zhang, William K. Cheung, Chun-hung Li
2006 J jnl
Service-Oriented Distributed Data Mining.
IEEE Internet Comput.
William K. Cheung, Xiaofeng Zhang, Ho-Fai Wong, Jiming Liu, Zongwei Luo, Frank C. H. Tong
2005 A* conf
Learning Global Models Based on Distributed Data Abstractions.
IJCAI
Xiaofeng Zhang, William K. Cheung
2005 A* conf
Visualizing Global Manifold Based on Distributed Local Data Abstractions.
ICDM
Xiaofeng Zhang, William K. Cheung
2004 J jnl
Mining Local Data Sources For Learning Global Cluster Models Via Model Exchange.
IEEE Intell. Informatics Bull.
Xiaofeng Zhang, Chak-Man Lam, William Kwok-Wai Cheung
2004 — conf
Mining Local Data Sources For Learning Global Cluster Models.
Web Intelligence
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Cheung