Zhao Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Multivariate Time Series

Graph Embedding

Temporal Knowledge

Top Venues

ACM Trans. Inf. Syst.

Publications

Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD (2024)
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD (2024)
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR (2024)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu
ID-centric Pre-training for Recommendation. CoRR (2024)
Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
Self-Improvement Programming for Temporal Knowledge Graph Question Answering. CoRR (2024)
Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. AAAI (2024)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR (2024)
Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Sun Ying, Zhao Zhang, Yiqi Tong, Yan Liu
Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. WWW (Companion Volume) (2024)
Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. 42 (4) (2024)
Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
Self-Improvement Programming for Temporal Knowledge Graph Question Answering. LREC/COLING (2024)
Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu
Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. KDD (2024)
Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. SIGIR (2023)
Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. RecSys (2023)
Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Yongjun Xu
An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation. EMNLP (Industry Track) (2023)
Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu
Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM (2023)
Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. 41 (4) (2023)
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR (2023)
Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu
Weighted Knowledge Graph Embedding. SIGIR (2023)
Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR (2023)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. ECML/PKDD (2) (2022)
Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu
BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. Bench (2022)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. CoRR (2022)
Jian Pan, Zhao Zhang, Fuzhen Zhuang, Jingyuan Yang, Zhiping Shi
Knowledge-Aware Topological Networks for Recommendation. CCKS (2022)
Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li
Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. ICANN (2) (2022)
Yuanzhou Yao, Zhao Zhang, Yongjun Xu, Chao Li
Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective. COLING (2022)
Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He
Knowledge graph embedding with shared latent semantic units. Neural Networks 139 (2021)
Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM (2021)
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR (2021)
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI (2020)
Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong
Knowledge triple mining via multi-task learning. Inf. Syst. 80 (2019)
Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He
Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP (2018)
Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He
MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM (2018)