Qiang Zhang

According to our database, Qiang Zhang authored at least 25 papers between 2018 and 2023.

Collaborative distances:

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

2023

Knowledge graph-enhanced molecular contrastive learning with functional prompt.

Yin Fang, Qiang Zhang, Ningyu Zhang, Zhuo Chen, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen

Nat. Mac. Intell., May, 2023

Cross-Temporal Snapshot Alignment for Dynamic Networks.

Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang

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

Adaptive Compositional Continual Meta-Learning.

Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang

Proceedings of the International Conference on Machine Learning, 2023

A Survey on Asking Clarification Questions Datasets in Conversational Systems.

Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Personalized, Sequential, Attentive, Metric-Aware Product Search.

Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang

ACM Trans. Inf. Syst., 2022

Meta-Learning Helps Personalized Product Search.

Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking.

Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network.

Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang

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

2021

Learning to Detect Few-Shot-Few-Clue Misinformation.

Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz

CoRR, 2021

Learning Neural Point Processes with Latent Graphs.

Qiang Zhang, Aldo Lipani, Emine Yilmaz

Proceedings of the WWW '21: The Web Conference 2021, 2021

Slot Self-Attentive Dialogue State Tracking.

Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Dynamic Embeddings for Temporal Knowledge Graphs.

Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang

Proceedings of the WSDM '21, 2021

Variational Continual Bayesian Meta-Learning.

Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structure-Aware Random Fourier Kernel for Graphs.

Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gaussian Process with Graph Convolutional Kernel for Relational Learning.

Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns.

Qiang Zhang, Jonathan Cook, Emine Yilmaz

Proceedings of the Advances in Information Retrieval, 2021

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval.

Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Evaluating Veracity of Textual Statements on the Web.

Qiang Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems.

Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Self-Attentive Hawkes Process.

Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Self-Attentive Hawkes Processes.

Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz

CoRR, 2019

Reply-Aided Detection of Misinformation via Bayesian Deep Learning.

Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz

Proceedings of the World Wide Web Conference, 2019

From Stances' Imbalance to Their HierarchicalRepresentation and Detection.

Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz

Proceedings of the World Wide Web Conference, 2019

2018

Variational Self-attention Model for Sentence Representation.

Qiang Zhang, Shangsong Liang, Emine Yilmaz

CoRR, 2018

Ranking-based Method for News Stance Detection.

Qiang Zhang, Emine Yilmaz, Shangsong Liang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018