Optimization of the Trade-Off by Artificially Re-sampling for Ensemble Learning. - Xiaofei Zhu; Jianmin Zhong; Lixia Zhuo (ICNC (5), 2007)

Fault diagnosis for analog circuits based on chaotic signal excitation. - Hong-Guang Ma 001; Xiaofei Zhu; Ming-Shun Ai; Ji-Dong Wang (J. Frankl. Inst., 2007)

Circuit state analysis using chaotic signal excitation. - Hong-Guang Ma 001; Xiaofei Zhu; JianFeng Xu; Ming-Shun Ai (J. Frankl. Inst., 2008)

Conflict Detection Based on Improved Unscented Particle Filter. - Lianzhi Yu; Shilei Zhang; Xiaofei Zhu (ISIA, 2010)

Study of the Airway Resistance of a Micro Robot System for Direct Tracheal Inspection. - Lianzhi Yu; Guozheng Yan; Yuesheng Lu; Xiaofei Zhu (LSMS/ICSEE, 2010)

Intent-aware query similarity. - Jiafeng Guo; Xueqi Cheng; Gu Xu; Xiaofei Zhu (CIKM, 2011)

A unified framework for recommending diverse and relevant queries. - Xiaofei Zhu; Jiafeng Guo; Xueqi Cheng; Pan Du 001; Huawei Shen (WWW, 2011)

More than relevance: high utility query recommendation by mining users' search behaviors. - Xiaofei Zhu; Jiafeng Guo; Xueqi Cheng; Yanyan Lan (CIKM, 2012)

Recommending High Utility Query via Session-Flow Graph. - Xiaofei Zhu; Jiafeng Guo; Xueqi Cheng; Yanyan Lan; Wolfgang Nejdl (ECIR, 2013)

L3S at MediaEval 2013 Crowdsourcing for Social Multimedia Task. - Mihai Georgescu; Xiaofei Zhu (MediaEval, 2013)

Ranking on Data Manifold with Sink Points. - Xueqi Cheng; Pan Du 001; Jiafeng Guo; Xiaofei Zhu; Yixin Chen 001 (IEEE Trans. Knowl. Data Eng., 2013)

Getting by with a Little Help from the Crowd: Practical Approaches to Social Image Labeling. - Babak Loni; Jonathon S. Hare; Mihai Georgescu; Michael Riegler 001; Xiaofei Zhu; Mohamed Morchid; Richard Dufour; Martha A. Larson (CrowdMM, 2014)

NicePic!: a system for extracting attractive photos from flickr streams. - Sergej Zerr; Stefan Siersdorfer; José San Pedro; Jonathon S. Hare; Xiaofei Zhu (SIGIR, 2014)

An adaptive teleportation random walk model for learning social tag relevance. - Xiaofei Zhu; Wolfgang Nejdl; Mihai Georgescu (SIGIR, 2014)

Analysing the duration of trending topics in Twitter using wikipedia. - Tuan Tran 002; Mihai Georgescu; Xiaofei Zhu; Nattiya Kanhabua (WebSci, 2014)

Aggregation of Crowdsourced Labels Based on Worker History. - Mihai Georgescu; Xiaofei Zhu (WIMS, 2014)

A Time-aware Random Walk Model for Finding Important Documents in Web Archives. - Tu Ngoc Nguyen; Nattiya Kanhabua; Claudia Niederée; Xiaofei Zhu (SIGIR, 2015)

Towards Entity Summarisation on Structured Web Markup. - Ran Yu 001; Ujwal Gadiraju; Xiaofei Zhu; Besnik Fetahu; Stefan Dietze (ESWC (Satellite Events), 2016)

Can we find documents in web archives without knowing their contents? - Khoi Duy Vo; Tuan Tran 002; Tu Ngoc Nguyen; Xiaofei Zhu; Wolfgang Nejdl (WebSci, 2016)

Re-Evaluating Electromyogram-Force Relation in Healthy Biceps Brachii Muscles Using Complexity Measures. - Xiaofei Zhu; Xu Zhang 002; Xiao Tang; Xiaoping Gao; Xiang Chen 004 (Entropy, 2017)

Modeling users' search sessions for high utility query recommendation. - Jiafeng Guo; Xiaofei Zhu; Yanyan Lan; Xueqi Cheng (Inf. Retr. J., 2017)

A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. - Zhou Yang 012; Qingfeng Lan; Jiafeng Guo; Yixing Fan; Xiaofei Zhu; Yanyan Lan; Yue Wang; Xueqi Cheng (CCIR, 2018)

Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering. - Xiaofei Zhu; Khoi Duy Vo; Jiafeng Guo; Jiangwu Long (CIKM, 2018)

Efficient Superpixel-Guided Interactive Image Segmentation Based on Graph Theory. - Jianwu Long; Xin Feng; Xiaofei Zhu; Jianxun Zhang; Guanglei Gou (Symmetry, 2018)

Modeling cyber rumor spreading over mobile social networks: A compartment approach. - Wanping Liu; Xiao Wu; Wu Yang; Xiaofei Zhu; Shouming Zhong (Appl. Math. Comput., 2019)

Fast proximal splitting algorithm for constrained TGV-regularised image restoration and reconstruction. - Chuan He 003; Changhua Hu; Naixin Qi; Xiaofei Zhu; Lianxiong Liu (IET Image Process., 2019)

Automatic drawing technique for horizontal projection diagrams of exploration borehole deviations. - Zhigen Zhao; Xiaofei Zhu (Multim. Tools Appl., 2019)

TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic. - Dimitar Dimitrov 002; Erdal Baran; Pavlos Fafalios; Ran Yu 001; Xiaofei Zhu; Matthäus Zloch; Stefan Dietze (CIKM, 2020)

Research and Apply of Time Slice Scheduling Algorithm in Distributed Data Acquisition System. - Xiaofei Zhu; Dong Li; Xiaowei Shen; Guoliang Li; Lin Pan (CIPAE, 2020)

Multi-view image clustering based on sparse coding and manifold consensus. - Xiaofei Zhu; Jiafeng Guo; Wolfgang Nejdl; Xiangwen Liao; Stefan Dietze (Neurocomputing, 2020)

Efficient Scalable Temporal Web Graph Store. - Khoi Duy Vo; Sergej Zerr; Xiaofei Zhu; Wolfgang Nejdl (IEEE BigData, 2021)

Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data. - Menglin Cao; Ming Yang; Chi Qin; Xiaofei Zhu; Yanni Chen; Jue Wang 016; Tian Liu (Biomed. Signal Process. Control., 2021)

GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification. - Xiaofei Zhu; Ling Zhu; Jiafeng Guo; Shangsong Liang; Stefan Dietze (Expert Syst. Appl., 2021)

Exploring user historical semantic and sentiment preference for microblog sentiment classification. - Xiaofei Zhu; Jie Wu; Ling Zhu; Jiafeng Guo; Ran Yu 001; Katarina Boland; Stefan Dietze (Neurocomputing, 2021)

Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering. - Xiaofei Zhu; Khoi Duy Do; Jiafeng Guo; Jun Xu 001; Stefan Dietze (Neural Process. Lett., 2021)

MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. - Yuanzheng Wang; Xueqi Cheng; Yixing Fan; Xiaofei Zhu; Huasheng Liang; Qiang Yan 001; Jiafeng Guo (IJCAI, 2022)

Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. - Arjun Roy 001; Pavlos Fafalios; Asif Ekbal; Xiaofei Zhu; Stefan Dietze (J. Intell. Inf. Syst., 2022)

Reasoning over multiplex heterogeneous graph for Target-oriented Opinion Words Extraction. - Yaqing Dai; Pengfei Wang 009; Xiaofei Zhu (Knowl. Based Syst., 2022)

Time enhanced graph neural networks for session-based recommendation. - Gu Tang; Xiaofei Zhu; Jiafeng Guo; Stefan Dietze (Knowl. Based Syst., 2022)

Detection and recognition of concrete cracks on building surface based on machine vision. - Xiaofei Zhu (Prog. Artif. Intell., 2022)

Exploiting Emotion-Semantic Correlations for Empathetic Response Generation. - Zhou Yang 012; Zhaochun Ren; Yufeng Wang; Xiaofei Zhu; Zhihao Chen; Tiecheng Cai; Yunbing Wu; Yisong Su; Sibo Ju; Xiangwen Liao (EMNLP (Findings), 2023)

Generating effective label description for label-aware sentiment classification. - Xiaofei Zhu; Zhanwang Peng; Jiafeng Guo; Stefan Dietze (Expert Syst. Appl., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai 004; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Exploring rich structure information for aspect-based sentiment classification. - Ling Zhu; Xiaofei Zhu; Jiafeng Guo; Stefan Dietze (J. Intell. Inf. Syst., 2023)

TSNN: A Topic and Structure Aware Neural Network for Rumor Detection. - Zhuomin Chen; Li Wang; Xiaofei Zhu; Stefan Dietze (Neurocomputing, 2023)

Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. - Xiaofei Zhu; Gu Tang; Pengfei Wang 009; Chenliang Li 005; Jiafeng Guo; Stefan Dietze (Inf. Sci., 2023)

CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks. - Xiaofei Zhu; Chenghong Li; Jiafeng Guo; Stefan Dietze (Expert Syst. Appl., 2023)

An Iterative Associative Memory Model for Empathetic Response Generation. - Zhou Yang 012; Zhaochun Ren; Yufeng Wang; Haizhou Sun; Chao Chen; Xiaofei Zhu; Xiangwen Liao (ACL (1), 2024)

Radar Signal Recognition Based on CSRDNN Network. - Zheng Zhang; Chuan Wan; Yi Chen; Fang Zhou; Xiaofei Zhu; Wenchao Zhai; Daying Quan (IEEE Access, 2024)

Enhancing Empathetic Response Generation by Augmenting LLMs with Small-scale Empathetic Models. - Zhou Yang 012; Zhaochun Ren; Yufeng Wang; Shizhong Peng; Haizhou Sun; Xiaofei Zhu; Xiangwen Liao (CoRR, 2024)

Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation. - Xiaofei Zhu; Liang Li; Stefan Dietze; Xin Luo (CoRR, 2024)

MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation. - Xiaofei Zhu; Yabo Yin; Li Wang (CoRR, 2024)

CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation. - Xiaofei Zhu; Jiawei Cheng; Zhou Yang 012; Zhuo Chen; Qingyang Wang; Jianfeng Yao (CoRR, 2024)

HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation. - Yabo Yin; Xiaofei Zhu; Wenshan Wang; Yihao Zhang 002; Pengfei Wang 009; Yixing Fan; Jiafeng Guo (CoRR, 2024)

Label-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification. - Xiaofei Zhu; Xinsheng Wang; Yanyan Lan; Xin Feng; Xiaoyang Liu 001; Di Ming (Expert Syst. Appl., 2024)

Situation-aware empathetic response generation. - Zhou Yang 012; Zhaochun Ren; Yufeng Wang; Haizhou Sun; Xiaofei Zhu; Xiangwen Liao (Inf. Process. Manag., 2024)

Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation. - Xiaofei Zhu; Liang Li; Weidong Liu; Xin Luo 001 (Neural Networks, 2024)

A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction. - Xiaofei Zhu; Yidan Liu; Zhuo Chen; Xu Chen; Jiafeng Guo; Stefan Dietze (J. Intell. Inf. Syst., 2024)

Fine-Grained Emotion Recognition via In-Context Learning. - Zhaochun Ren; Zhou Yang 012; Chenglong Ye; Haizhou Sun; Chao Chen; Xiaofei Zhu; Xiangwen Liao (CIKM, 2025)

DHKD: A Debiased Hierarchical Knowledge Distillation for Multimodal Emotion Recognition in Conversation. - Jiawei Cheng; Zhou Yang 012; Xiaofei Zhu (ICIC (18), 2025)

Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation. - Lei Wang 197; Shanshan Huang 004; Chunyuan Zheng 001; Jun Liao 001; Xiaofei Zhu; Haoxuan Li 001; Li Liu 001 (KDD (2), 2025)

TF-MERC: Integrating Time-Frequency Information for Multimodal Emotion Recognition in Conversation. - Jiawei Cheng; Xiaofei Zhu; Zhou Yang 012 (ICMR, 2025)

CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation. - Yabo Yin; Xiaofei Zhu; Kunyang Huang; Wenshan Wang; Yihao Zhang 002; Pengfei Wang 009; Yixing Fan; Jiafeng Guo (Neurocomputing, 2025)

MIMNet: Multi-interest Meta Network with Multi-granularity Target-guided Attention for cross-domain recommendation. - Xiaofei Zhu; Yabo Yin; Li Wang 014 (Neurocomputing, 2025)

A Preference-driven Conjugate Denoising Method for sequential recommendation with side information. - Xiaofei Zhu; Minqin Li; Zhou Yang 012 (Inf. Process. Manag., 2025)

TJMN: Target-enhanced joint meta network with contrastive learning for cross-domain recommendation. - Xiaofei Zhu; Lele Duan; Stefan Dietze; Ran Yu 001 (Knowl. Based Syst., 2025)

Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory. - Zhou Yang 012; Zhengyu Qi; Zhaochun Ren; Zhikai Jia; Haizhou Sun; Xiaofei Zhu; Xiangwen Liao (CoRR, 2025)

Cross-Modal Clustering-Guided Negative Sampling for Self-Supervised Joint Learning from Medical Images and Reports. - Libin Lan; Hongxing Li 001; Zunhui Xia; Juan Zhou; Xiaofei Zhu; Yongmei Li; Yudong Zhang; Xin Luo (CoRR, 2025)

Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization. - Juan Chen; Baolong Bi; Wei Zhang; Jingyan Sui; Xiaofei Zhu; Yuanzhuo Wang; Lingrui Mei; Shenghua Liu (CoRR, 2025)

RunMe: An Adaptive Sound System for Running Meditation. - Peng Tan; Xiaofei Zhu; Tao Bi; Xiangshi Ren (ACM Trans. Comput. Hum. Interact., 2025)

Multi-Granularity Sequence Denoising with Weakly Supervised Signal for Sequential Recommendation. - Liang Li; Zhou Yang; Xiaofei Zhu (CoRR, 2025)

Towards robust multimodal emotion recognition in conversation with multi-modal transformer and variational distillation fusion. - Xiaofei Zhu; Shuming Jiang (J. Intell. Inf. Syst., 2025)