Zhao Zhang

According to our database, Zhao Zhang authored at least 34 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction.

Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Heterogeneous Graph Neural Network With Multi-View Representation Learning.

Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu

IEEE Trans. Knowl. Data Eng., November, 2023

Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement.

Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li

ACM Trans. Inf. Syst., October, 2023

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning.

Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu

IEEE Trans. Knowl. Data Eng., April, 2023

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.

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

CoRR, 2023

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting.

Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu

CoRR, 2023

A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat.

Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Weighted Knowledge Graph Embedding.

Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Attacking Pre-trained Recommendation.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation.

Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation.

Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Yongjun Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Knowledge Graph Error Detection with Hierarchical Path Structure.

Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification.

Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, Fei Wang

Sensors, 2022

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen

Proc. VLDB Endow., 2022

Customized Conversational Recommender Systems.

Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Trajectory Prediction from Hierarchical Perspective.

Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting.

Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion.

Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks.

Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Human Mobility Identification by Deep Behavior Relevant Location Representation.

Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu

Proceedings of the Database Systems for Advanced Applications, 2022

Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective.

Yuanzhou Yao, Zhao Zhang, Yongjun Xu, Chao Li

Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis.

Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.

Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Knowledge-Aware Topological Networks for Recommendation.

Jian Pan, Zhao Zhang, Fuzhen Zhuang, Jingyuan Yang, Zhiping Shi

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark.

Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu

Proceedings of the Benchmarking, Measuring, and Optimizing, 2022

Clustering-Enhanced Knowledge Graph Embedding.

Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He

Proceedings of the Big Data - 10th CCF Conference, 2022

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement.

Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Knowledge graph embedding with shared latent semantic units.

Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He

Neural Networks, 2021

Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT.

Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.

Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Knowledge triple mining via multi-task learning.

Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong

Inf. Syst., 2019

2018

Knowledge Graph Embedding with Hierarchical Relation Structure.

Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

MultiE: Multi-Task Embedding for Knowledge Base Completion.

Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018