MultiE: Multi-Task Embedding for Knowledge Base Completion. - Zhao Zhang 011; Fuzhen Zhuang; Zheng-Yu Niu; Deqing Wang; Qing He 003 (CIKM, 2018)

Knowledge Graph Embedding with Hierarchical Relation Structure. - Zhao Zhang 011; Fuzhen Zhuang; Meng Qu; Fen Lin; Qing He 003 (EMNLP, 2018)

Knowledge triple mining via multi-task learning. - Zhao Zhang 011; Fuzhen Zhuang; Xuebing Li; Zheng-Yu Niu; Jia He 001; Qing He 003; Hui Xiong 001 (Inf. Syst., 2019)

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. - Zhao Zhang 011; Fuzhen Zhuang; Hengshu Zhu; Zhi-Ping Shi 002; Hui Xiong 001; Qing He 003 (AAAI, 2020)

Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. - Runchuan Wang; Zhao Zhang 011; Fuzhen Zhuang; Dehong Gao; Yi Wei; Qing He 003 (CIKM, 2021)

Knowledge graph embedding with shared latent semantic units. - Zhao Zhang 011; Fuzhen Zhuang; Meng Qu; Zheng-Yu Niu; Hui Xiong 001; Qing He 003 (Neural Networks, 2021)

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Dehong Gao; Fuzhen Zhuang; Yi Wei; Qing He 003 (AAAI, 2022)

Clustering-Enhanced Knowledge Graph Embedding. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Jingjing Gu; Zhiping Shi 002; Qing He 003 (Big Data (CCF), 2022)

BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. - Yubo Liang; Zezhi Shao; Fei Wang 014; Zhao Zhang 011; Tao Sun 011; Yongjun Xu 001 (Bench, 2022)

Knowledge-Aware Topological Networks for Recommendation. - Jian Pan; Zhao Zhang 011; Fuzhen Zhuang; Jingyuan Yang 001; Zhiping Shi 002 (CCKS, 2022)

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. - Zezhi Shao; Zhao Zhang 011; Fei Wang 014; Wei Wei 002; Yongjun Xu 001 (CIKM, 2022)

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Fuzhen Zhuang; Yongjun Xu 001; Qing He 003 (CIKM, 2022)

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. - Wei Chen 061; Jinglong Du; Zhao Zhang 011; Fuzhen Zhuang; Zhongshi He (COLING, 2022)

Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective. - Yuanzhou Yao; Zhao Zhang 011; Yongjun Xu 001; Chao Li 028 (COLING, 2022)

Human Mobility Identification by Deep Behavior Relevant Location Representation. - Tao Sun 011; Fei Wang 014; Zhao Zhang 011; Lin Wu 006; Yongjun Xu 001 (DASFAA (2), 2022)

Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. - Qiming Li; Zhao Zhang 011; Boyu Diao; Yongjun Xu 001; Chao Li 028 (ICANN (2), 2022)

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. - Zhenwei Tang; Shichao Pei; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Robert Hoehndorf; Xiangliang Zhang 001 (IJCAI, 2022)

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. - Zezhi Shao; Zhao Zhang 011; Fei Wang 014; Yongjun Xu 001 (KDD, 2022)

Trajectory Prediction from Hierarchical Perspective. - Tangwen Qian; Yongjun Xu 001; Zhao Zhang 011; Fei Wang 014 (ACM Multimedia, 2022)

Customized Conversational Recommender Systems. - Shuokai Li; Yongchun Zhu; Ruobing Xie; Zhenwei Tang; Zhao Zhang 011; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ECML/PKDD (2), 2022)

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. - Zezhi Shao; Zhao Zhang 011; Wei Wei 002; Fei Wang 014; Yongjun Xu 001; Xin Cao 001; Christian S. Jensen (Proc. VLDB Endow., 2022)

A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification. - Tao Sun 011; Yongjun Xu 001; Zhao Zhang 011; Lin Wu 006; Fei Wang 014 (Sensors, 2022)

Knowledge Graph Error Detection with Hierarchical Path Structure. - Zhao Zhang 011; Fuwei Zhang; Fuzhen Zhuang; Yongjun Xu 001 (CIKM, 2023)

An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation. - Yuanzhou Yao; Zhao Zhang 011; Kaijia Yang; Huasheng Liang; Qiang Yan 001; Yongjun Xu 001 (EMNLP (Industry Track), 2023)

Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. - Meng Yuan; Fuzhen Zhuang; Zhao Zhang 011; Deqing Wang; Jin Dong (RecSys, 2023)

Attacking Pre-trained Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Jie Zhou 016; Yongjun Xu 001; Qing He 003 (SIGIR, 2023)

Weighted Knowledge Graph Embedding. - Zhao Zhang 011; Zhanpeng Guan; Fuwei Zhang; Fuzhen Zhuang; Zhulin An; Fei Wang 014; Yongjun Xu 001 (SIGIR, 2023)

A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. - Yuanzhou Yao; Zhao Zhang 011; Kaijia Yang; Huasheng Liang; Qiang Yan 001; Fuzhen Zhuang; Yongjun Xu 001; Boyu Diao; Chao Li 028 (WWW (Companion Volume), 2023)

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. - Zezhi Shao; Fei Wang 014; Zhao Zhang 011; Yuchen Fang 001; Guangyin Jin; Yongjun Xu 001 (CoRR, 2023)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; Xueqi Cheng (CoRR, 2023)

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. - Zhao Zhang 011; Fuzhen Zhuang; Hengshu Zhu; Chao Li 028; Hui Xiong 001; Qing He 003; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. - Qiming Li; Zhao Zhang 011; Fuzhen Zhuang; Yongjun Xu 001; Chao Li 028 (ACM Trans. Inf. Syst., 2023)

Heterogeneous Graph Neural Network With Multi-View Representation Learning. - Zezhi Shao; Yongjun Xu 001; Wei Wei 002; Fei Wang 014; Zhao Zhang 011; Feida Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. - Wei Chen 061; Yuxuan Liu; Zhao Zhang 011; Fuzhen Zhuang; Jiang Zhong (AAAI, 2024)

Exploring High-Order User Preference with Knowledge Graph for Recommendation. - Caijun Xu; Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Rui Liu 007 (CIKM, 2024)

Multi-view Temporal Knowledge Graph Reasoning. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Zhiqiang Zhang 012; Jun Zhou 011; Deqing Wang (CIKM, 2024)

Self-Improvement Programming for Temporal Knowledge Graph Question Answering. - Zhuo Chen; Zhao Zhang 011; Zixuan Li 001; Fei Wang 014; Yutao Zeng; Xiaolong Jin 001; Yongjun Xu 001 (LREC/COLING, 2024)

Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. - Yanjie Gou; Yuanzhou Yao; Zhao Zhang 011; Yiqing Wu; Yi Hu; Fuzhen Zhuang; Jiangming Liu; Yongjun Xu 001 (KDD, 2024)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (KDD, 2024)

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. - Chengqing Yu; Fei Wang 014; Zezhi Shao; Tangwen Qian; Zhao Zhang 011; Wei Wei 002; Yongjun Xu 001 (KDD, 2024)

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. - Yuting Zhang; Zhao Zhang 011; Yiqing Wu; Ying Sun 006; Fuzhen Zhuang; Wenhui Yu; Lantao Hu; Han Li 005; Kun Gai; Zhulin An; Yongjun Xu 001 (ACM Multimedia, 2024)

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. - Huajie Zhang; Yuxin Ying; Fuzhen Zhuang; Haiqin Weng; Ying Sun 006; Zhao Zhang 011; Yiqi Tong; Yan Liu 069 (WWW (Companion Volume), 2024)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (CoRR, 2024)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. - Wei Chen 061; Guo Ye; Yakun Wang 001; Zhao Zhang 011; Libang Zhang; Daxin Wang; Zhiqiang Zhang 012; Fuzhen Zhuang (CoRR, 2024)

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. - Wei Chen 061; Yiqing Wu; Zhao Zhang 011; Fuzhen Zhuang; Zhongshi He; Ruobing Xie; Feng Xia 006 (ACM Trans. Inf. Syst., 2024)

Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Yu Zhao 019; Deqing Wang; Hongwei Zheng 007 (IEEE Trans. Knowl. Data Eng., 2024)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. - Wei Chen 061; Guo Ye; Yakun Wang 001; Zhao Zhang 011; Libang Zhang; Daixin Wang; Zhiqiang Zhang 012; Fuzhen Zhuang (AAAI, 2025)

Mixed-Curvature Multi-Modal Knowledge Graph Completion. - Yuxiao Gao; Fuwei Zhang; Zhao Zhang 011; Xiaoshuang Min; Fuzhen Zhuang (AAAI, 2025)

Multi-level Relevance Document Identifier Learning for Generative Retrieval. - Fuwei Zhang; Xiaoyu Liu; Xinyu Jia; Yingfei Zhang; Shuai Zhang; Xiang Li 067; Fuzhen Zhuang; Wei Lin; Zhao Zhang 011 (ACL (1), 2025)

Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding. - Zhanpeng Guan; Zhao Zhang 011; Yiqing Wu; Fuwei Zhang; Yongjun Xu 001 (COLING, 2025)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Tao Sun 011; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment. - Wei Chen 061; Han Ding; Meng Yuan; Zhao Zhang 011; Deqing Wang; Fuzhen Zhuang (CoRR, 2025)

A Model-Agnostic Hierarchical Framework Towards Trajectory Prediction. - Tangwen Qian; Yuan Wang 037; Yong-Jun Xu 001; Zhao Zhang 011; Lin Wu 006; Qiang Qiu; Fei Wang 014 (J. Comput. Sci. Technol., 2025)

FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. - Wei Chen 061; Zhao Zhang 011; Meng Yuan; Kepeng Xu; Fuzhen Zhuang (CoRR, 2025)

Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization. - Jing Yu; Yibo Zhao 005; Jiapeng Zhu 002; Wenming Shao; Bo Pang; Zhao Zhang 011; Xiang Li 067 (CoRR, 2025)

HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation. - Meng Yuan; Zhao Zhang 011; Wei Chen 061; Chu Zhao; Tong Cai; Deqing Wang; Rui Liu 007; Fuzhen Zhuang (ACM Trans. Inf. Syst., 2025)

AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. - Zhanpeng Guan; Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Fei Wang 014; Zhulin An; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2025)

GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values. - Chengqing Yu; Fei Wang 014; Zezhi Shao; Tangwen Qian; Zhao Zhang 011; Wei Wei 002; Zhulin An; Qi Wang 025; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2025)

FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning. - Wei Chen 061; Meng Yuan; Zhao Zhang 011; Ruobing Xie; Fuzhen Zhuang; Deqing Wang; Rui Liu 007 (IEEE Trans. Knowl. Data Eng., 2025)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2025)