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2020 – today
- 2022
[j16]Zaiqiao Meng
, Anya Okhmatovskaia, Maxime Polleri, Yannan Shen, Guido Powell, Zihao Fu, Iris Ganser, Meiru Zhang, Nicholas B. King, David L. Buckeridge, Nigel Collier:
BioCaster in 2021: automatic disease outbreaks detection from global news media. Bioinform. 38(18): 4446-4448 (2022)- [j15]Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng:
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. ACM Trans. Knowl. Discov. Data 16(3): 55:1-55:31 (2022) - [j14]Shangsong Liang, Yupeng Luo, Zaiqiao Meng:
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model. ACM Trans. Inf. Syst. 40(2): 34:1-34:38 (2022) - [j13]Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang:
Personalized, Sequential, Attentive, Metric-Aware Product Search. ACM Trans. Inf. Syst. 40(2): 36:1-36:29 (2022) - [j12]Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten de Rijke:
Hyperspherical Variational Co-embedding for Attributed Networks. ACM Trans. Inf. Syst. 40(3): 58:1-58:36 (2022) - [c26]Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI 2022: 5530-5538 - [c25]Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier:
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. ACL (1) 2022: 4798-4810 - [c24]Anya Okhmatovskaia, Yannan Shen, Iris Ganser, Nigel Collier, Nicholas B. King, Zaiqiao Meng, David L. Buckeridge:
A Conceptual Framework for Representing Events Under Public Health Surveillance. MIE 2022: 387-391 - [c23]Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier:
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. NAACL-HLT (Findings) 2022: 2497-2507 - [c22]Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He:
Learning Robust Recommenders through Cross-Model Agreement. WWW 2022: 2015-2025 - [c21]Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Meta-Learning Helps Personalized Product Search. WWW 2022: 2277-2287 - [i16]Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang:
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? CoRR abs/2202.07962 (2022) - [i15]Zhangdie Yuan, Songbo Hu, Ivan Vulic, Anna Korhonen, Zaiqiao Meng:
Can Pretrained Language Models (Yet) Reason Deductively? CoRR abs/2210.06442 (2022) - [i14]Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang:
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. CoRR abs/2211.03536 (2022) - 2021
- [j11]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. 24(4-5): 347-369 (2021) - [j10]Huimin Huang, Zaiqiao Meng, Hong Shen:
Competitive and complementary influence maximization in social network: A follower's perspective. Knowl. Based Syst. 213: 106600 (2021) - [c20]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI 2021: 2755-2763 - [c19]Thomas Hikaru Clark, Costanza Conforti, Fangyu Liu, Zaiqiao Meng, Ehsan Shareghi, Nigel Collier:
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection. W-NUT 2021: 304-312 - [c18]Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier:
Few-Shot Table-to-Text Generation with Prototype Memory. EMNLP (Findings) 2021: 910-917 - [c17]Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier:
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. EMNLP (1) 2021: 4672-4681 - [c16]Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang:
Gaussian Process with Graph Convolutional Kernel for Relational Learning. KDD 2021: 353-363 - [c15]Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier:
Self-Alignment Pretraining for Biomedical Entity Representations. NAACL-HLT 2021: 4228-4238 - [c14]Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang:
Structure-Aware Random Fourier Kernel for Graphs. NeurIPS 2021: 17681-17694 - [c13]Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz:
Variational Continual Bayesian Meta-Learning. NeurIPS 2021: 24556-24568 - [c12]Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang:
Learning Dynamic Embeddings for Temporal Knowledge Graphs. WSDM 2021: 535-543 - [i13]Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng:
Probabilistic and Variational Recommendation Denoising. CoRR abs/2105.09605 (2021) - [i12]Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis:
Graph Neural Pre-training for Enhancing Recommendations using Side Information. CoRR abs/2107.03936 (2021) - [i11]Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz:
Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR abs/2108.03805 (2021) - [i10]Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier:
Few-Shot Table-to-Text Generation with Prototype Memory. CoRR abs/2108.12516 (2021) - [i9]Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier:
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. CoRR abs/2109.04810 (2021) - [i8]Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier:
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. CoRR abs/2110.08173 (2021) - [i7]Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier:
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. CoRR abs/2111.04198 (2021) - 2020
- [j9]Huimin Huang, Hong Shen, Zaiqiao Meng:
Community-based influence maximization in attributed networks. Appl. Intell. 50(2): 354-364 (2020) - [j8]Huimin Huang, Zaiqiao Meng, Shangsong Liang:
Recurrent neural variational model for follower-based influence maximization. Inf. Sci. 528: 280-293 (2020) - [j7]Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis:
Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. 38(2): 16:1-16:32 (2020) - [c11]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang:
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys 2020: 588-590 - [c10]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys 2020: 681-686 - [c9]Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng:
A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR 2020: 2029-2032 - [i6]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR abs/2007.13237 (2020) - [i5]Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier:
Self-alignment Pre-training for Biomedical Entity Representations. CoRR abs/2010.11784 (2020)
2010 – 2019
- 2019
- [j6]Huimin Huang, Hong Shen, Zaiqiao Meng, Huajian Chang, Huaiwen He:
Community-based influence maximization for viral marketing. Appl. Intell. 49(6): 2137-2150 (2019) - [j5]Huimin Huang, Hong Shen, Zaiqiao Meng:
Item diversified recommendation based on influence diffusion. Inf. Process. Manag. 56(3): 939-954 (2019) - [j4]Zaiqiao Meng, Hong Shen:
Fast top-k similarity search in large dynamic attributed networks. Inf. Process. Manag. 56(6) (2019) - [c8]Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng:
Bayesian Deep Collaborative Matrix Factorization. AAAI 2019: 5474-5481 - [c7]Yupeng Luo, Shangsong Liang, Zaiqiao Meng:
Constrained Co-embedding Model for User Profiling in Question Answering Communities. CIKM 2019: 439-448 - [c6]Teng Xiao, Shangsong Liang, Zaiqiao Meng:
Dynamic Collaborative Recurrent Learning. CIKM 2019: 1151-1160 - [c5]Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang:
Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM 2019: 1693-1702 - [c4]Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao:
Semi-supervisedly Co-embedding Attributed Networks. NeurIPS 2019: 6504-6513 - [c3]Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang:
Co-Embedding Attributed Networks. WSDM 2019: 393-401 - [c2]Teng Xiao, Shangsong Liang, Zaiqiao Meng:
Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW 2019: 3377-3383 - [i4]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR abs/1909.07705 (2019) - [i3]Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao:
Semi-supervisedly Co-embedding Attributed Networks. CoRR abs/1910.14491 (2019) - 2018
- [j3]Zaiqiao Meng, Hong Shen:
Scalable Aspects Learning for Intent-Aware Diversified Search on Social Networks. IEEE Access 6: 37124-37137 (2018) - [j2]Zaiqiao Meng, Hong Shen, Huimin Huang, Wei Liu, Jing Wang, Arun Kumar Sangaiah:
Search result diversification on attributed networks via nonnegative matrix factorization. Inf. Process. Manag. 54(6): 1277-1291 (2018) - [j1]Zaiqiao Meng, Hong Shen:
Dissimilarity-constrained node attribute coverage diversification for novelty-enhanced top-k search in large attributed networks. Knowl. Based Syst. 150: 85-94 (2018) - [i2]Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng:
Neural Variational Hybrid Collaborative Filtering. CoRR abs/1810.05376 (2018) - 2017
- [c1]Zaiqiao Meng, Hong Shen:
NMFDIV: A Nonnegative Matrix Factorization Approach for Search Result Diversification on Attributed Networks. PDCAT 2017: 86-91 - 2016
- [i1]Zaiqiao Meng, Hong Shen:
Diversified Top-k Similarity Search in Large Attributed Networks. CoRR abs/1608.05346 (2016)
Coauthor Index
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last updated on 2022-11-10 22:58 CET by the dblp team
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