Publications

Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang (2023). Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. ACM Computing Surveys.

Zhangdie Yuan, Songbo Hu, Ivan Vulić, Anna Korhonen, Zaiqiao Meng (2022). Can Pretrained Language Models (Yet) Reason Deductively?. EACL 2023.

Zaiqiao Meng, Anya Okhmatovskaia, Maxime Polleri, Yannan Shen, Guido Powell, Zihao Fu, Iris Ganser, Meiru Zhang, Nicholas B King, David Buckeridge, Nigel Collier (2022). BioCaster in 2021: Automatic Disease Outbreaks Detection from Global News Media. Bioinformatics.

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Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis (2022). Graph neural pre-training for enhancing recommendations using side information. TOIS.

Shaowei Tang, Zaiqiao Meng, Shangsong Liang (2022). Dynamic Co-Embedding Model for Temporal Attributed Networks. TNNLS.

Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang (2022). Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI2022.

Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang (2022). Meta-Learning Helps Personalized Product Search. The Web Conference 2022.

Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M Jose, Fuli Feng, Xiangnan He (2022). Learning Robust Recommenders through Cross-Model Agreement . The Web Conference 2022.

Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang (2022). Revisiting Parameter-Efficient Tuning: Are We Really There Yet?. EMNLP2022.

Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten De Rijke (2021). Hyperspherical Variational Co-embedding for Attributed Networks. TOIS.

Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz (2021). Variational Continual Bayesian Meta-Learning. NeurIPS2021.

Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis (2021). Variational Bayesian representation learning for grocery recommendation. Information Retrieval Journal.

Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang (2021). Structure-Aware Random Fourier Kernel for Graphs. NeurIPS2021.

Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier (2021). Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. ACL2022.

Shangsong Liang, Yupeng Luo, Zaiqiao Meng (2021). Profiling users for question answering communities via flow-based constrained co-embedding model. TOIS.

Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang (2021). Personalized, Sequential, Attentive, Metric-Aware Product Search. TOIS.

Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier (2021). TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. NAACL2022.

Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng (2021). A normalizing flow-based co-embedding model for attributed networks. TKDD.

Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang (2021). Cross-temporal snapshot alignment for dynamic networks. TKDE.

Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier (2021). Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. EMNLP2021.

Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier (2021). Few-Shot Table-to-Text Generation with Prototype Memory. EMNLP2021.

Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang (2021). Gaussian process with graph convolutional kernel for relational learning. SIGKDD2021.

Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang (2021). Learning dynamic embeddings for temporal knowledge graphs. WSDM2021.

Huimin Huang, Zaiqiao Meng, Hong Shen (2021). Competitive and complementary influence maximization in social network: A follower’s perspective. Knowledge-Based Systems.

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier (2020). Self-Alignment Pretraining for Biomedical Entity Representations. In NAACL2021.

Huimin Huang, Hong Shen, Zaiqiao Meng, Huajian Chang, Huaiwen He (2020). Community-based influence maximization for viral marketing. Applied Intelligence.

Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis (2020). Exploring data splitting strategies for the evaluation of recommendation models. In RecSys2020.

Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang (2020). Beta-rec: Build, evaluate and tune automated recommender systems. RecSys2019.

Huimin Huang, Zaiqiao Meng, Shangsong Liang (2020). Recurrent neural variational model for follower-based influence maximization. Information Sciences.

Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng (2020). A heterogeneous graph neural model for cold-start recommendation. In SIGIR2020.

Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis (2020). Jointly learning representations of nodes and attributes for attributed networks. TOIS.

Zaiqiao Meng, Hong Shen (2019). Fast top-k similarity search in large dynamic attributed networks. Information Processing & Management.

Zaiqiao Meng, Hong Shen (2019). Dissimilarity-constrained node attribute coverage diversification for novelty-enhanced top-k search in large attributed networks. Knowledge-Based Systems.

Teng Xiao, Shangsong Liang, Zaiqiao Meng (2019). Dynamic collaborative recurrent learning. CIKM019.

Yupeng Luo, Shangsong Liang, Zaiqiao Meng (2019). Constrained co-embedding model for user profiling in question answering communities. CIKM2019.

Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao (2019). Semi-supervisedly co-embedding attributed networks. NeurIPS2019.

Teng Xiao, Shangsong Liang, Zaiqiao Meng (2019). Hierarchical neural variational model for personalized sequential recommendation. WWW2019.

Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang (2019). Dynamic bayesian metric learning for personalized product search. CIKM2019.

Huimin Huang, Hong Shen, Zaiqiao Meng (2019). Community-based influence maximization in attributed networks. Applied Intelligence.

Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng (2019). Bayesian deep collaborative matrix factorization. AAAI2019.

Huimin Huang, Hong Shen, Zaiqiao Meng (2019). Item diversified recommendation based on influence diffusion. Information Processing & Management.

Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang (2019). Co-embedding Attributed Networks. In WSDM2019.

Zaiqiao Meng, Hong Shen, Huimin Huang, Wei Liu, Jing Wang, Arun Kumar Sangaiah (2018). Search result diversification on attributed networks via nonnegative matrix factorization. Information Processing & Management.

Zaiqiao Meng, Hong Shen (2018). Scalable aspects learning for intent-aware diversified search on social networks. IEEE Access.