Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZaiqiao Meng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[j19]Shangsong Liang
, Shaowei Tang, Zaiqiao Meng, Qiang Zhang:
Cross-Temporal Snapshot Alignment for Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2406-2420 (2023)- [j18]Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis:
Graph Neural Pre-training for Recommendation with Side Information. ACM Trans. Inf. Syst. 41(3): 74:1-74:28 (2023) - [j17]Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang:
Enhancing Conversational Recommendation Systems with Representation Fusion. ACM Trans. Web 17(1): 6:1-6:34 (2023) - [c30]Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang, Yong Jiang:
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition. ACL (1) 2023: 4261-4276 - [c29]Jinyuan Fang, Zaiqiao Meng, Craig Macdonald:
KGPR: Knowledge Graph Enhanced Passage Ranking. CIKM 2023: 3880-3885 - [c28]Zhangdie Yuan, Songbo Hu, Ivan Vulic, Anna Korhonen, Zaiqiao Meng:
Can Pretrained Language Models (Yet) Reason Deductively? EACL 2023: 1439-1454 - [i26]Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang:
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. CoRR abs/2302.00389 (2023) - [i25]Meiru Zhang, Yixuan Su, Zaiqiao Meng, Zihao Fu, Nigel Collier:
COFFEE: A Contrastive Oracle-Free Framework for Event Extraction. CoRR abs/2303.14452 (2023) - [i24]Zijun Long, Zaiqiao Meng, Gerardo Aragon-Camarasa, Richard McCreadie:
LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. CoRR abs/2303.18013 (2023) - [i23]Zihao Fu, Yixuan Su, Zaiqiao Meng, Nigel Collier:
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. CoRR abs/2305.13066 (2023) - [i22]Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, Anya Okhmatovskaia, David L. Buckeridge, Nigel Collier:
BAND: Biomedical Alert News Dataset. CoRR abs/2305.14480 (2023) - [i21]Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng:
Label Denoising through Cross-Model Agreement. CoRR abs/2308.13976 (2023) - [i20]Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng:
When hard negative sampling meets supervised contrastive learning. CoRR abs/2308.14893 (2023) - [i19]Yupan Huang, Zaiqiao Meng, Fangyu Liu, Yixuan Su, Nigel Collier, Yutong Lu:
Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models. CoRR abs/2308.16463 (2023) - [i18]Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng:
GenKIE: Robust Generative Multimodal Document Key Information Extraction. CoRR abs/2310.16131 (2023) - [i17]Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing:
CLEX: Continuous Length Extrapolation for Large Language Models. CoRR abs/2310.16450 (2023) - 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) - [c27]Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI 2022: 5530-5538 - [c26]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 - [c25]Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang:
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022: 2612-2626 - [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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-11-18 01:11 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
