Zaiqiao Meng

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 98

Top Topics

Nonnegative Matrix Factorization

Disease Outbreaks

Top Venues

ACM Trans. Inf. Syst.

Publications

Zijun Long, George Killick, Lipeng Zhuang, Gerardo Aragon-Camarasa, Zaiqiao Meng, Richard McCreadie
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. CoRR (2024)
Xinhao Yi, Siwei Liu, Yu Wu, Douglas McCloskey, Zaiqiao Meng
BPP: a platform for automatic biochemical pathway prediction. Briefings Bioinform. 25 (5) (2024)
Zaiqiao Meng, Hao Zhou, Yifang Chen
I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Reconstruction. CoRR (2024)
Zhaohan Meng, Zaiqiao Meng, Iadh Ounis
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. CoRR (2024)
Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David L. Buckeridge, Nigel Collier
BAND: Biomedical Alert News Dataset. AAAI (2024)
Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. CoRR (2024)
Zijun Long, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. ICASSP (2024)
Shaowei Tang, Zaiqiao Meng, Shangsong Liang
Dynamic Co-Embedding Model for Temporal Attributed Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR (2024)
Jiasheng Li, Zaiqiao Meng, Shangsong Liang
Towards Deep Generative Backmapping of Coarse-Grained Molecular Systems. CVIPPR (2024)
Jinyuan Fang, Zaiqiao Meng, Craig MacDonald
REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. ACL (1) (2024)
Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. ACM Trans. Multim. Comput. Commun. Appl. 20 (3) (2024)
Xiaoru Chen, Yingxu Wang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Zhaohan Meng, Siwei Liu, Shangsong Liang, Bhautesh Jani, Zaiqiao Meng
Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings Bioinform. 25 (5) (2024)
Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. CoRR (2024)
Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz
KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) (2024)
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
CLEX: Continuous Length Extrapolation for Large Language Models. ICLR (2024)
Meiru Zhang, Zaiqiao Meng, Nigel Collier
Attention Instruction: Amplifying Attention in the Middle via Prompting. CoRR (2024)
Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. ACL (1) (2024)
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. ACM Comput. Surv. 56 (6) (2024)
Zihao Fu, Yixuan Su, Zaiqiao Meng, Nigel Collier
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. CoRR (2023)
Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
Cross-Temporal Snapshot Alignment for Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Zijun Long, Zaiqiao Meng, Gerardo Aragon-Camarasa, Richard McCreadie
LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. CoRR (2023)
Zhangdie Yuan, Songbo Hu, Ivan Vulic, Anna Korhonen, Zaiqiao Meng
Can Pretrained Language Models (Yet) Reason Deductively? EACL (2023)
Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, Anya Okhmatovskaia, David L. Buckeridge, Nigel Collier
BAND: Biomedical Alert News Dataset. CoRR (2023)
Zihao Fu, Yixuan Su, Zaiqiao Meng, Nigel Collier
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. EMNLP (2023)
Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
KGPR: Knowledge Graph Enhanced Passage Ranking. CIKM (2023)
Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Enhancing Conversational Recommendation Systems with Representation Fusion. ACM Trans. Web 17 (1) (2023)
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)
Yupan Huang, Zaiqiao Meng, Fangyu Liu, Yixuan Su, Nigel Collier, Yutong Lu
Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models. CoRR (2023)
Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng
Label Denoising through Cross-Model Agreement. CoRR (2023)
Bin Wu, Zaiqiao Meng, Shangsong Liang
Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search. ACM Trans. Web 17 (4) (2023)
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 (2023)
Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng
GenKIE: Robust Generative Multimodal Document Key Information Extraction. CoRR (2023)
Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis
Graph Neural Pre-training for Recommendation with Side Information. ACM Trans. Inf. Syst. 41 (3) (2023)
Meiru Zhang, Yixuan Su, Zaiqiao Meng, Zihao Fu, Nigel Collier
COFFEE: A Contrastive Oracle-Free Framework for Event Extraction. CoRR (2023)
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
CLEX: Continuous Length Extrapolation for Large Language Models. CoRR (2023)
Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
When hard negative sampling meets supervised contrastive learning. CoRR (2023)
Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng
GenKIE: Robust Generative Multimodal Document Key Information Extraction. EMNLP (Findings) (2023)
Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He
Learning Robust Recommenders through Cross-Model Agreement. WWW (2022)
Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? CoRR (2022)
Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP (2022)
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)
Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
Personalized, Sequential, Attentive, Metric-Aware Product Search. ACM Trans. Inf. Syst. 40 (2) (2022)
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)
Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI (2022)
Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Meta-Learning Helps Personalized Product Search. WWW (2022)
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)
Zhangdie Yuan, Songbo Hu, Ivan Vulic, Anna Korhonen, Zaiqiao Meng
Can Pretrained Language Models (Yet) Reason Deductively? CoRR (2022)
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. CoRR (2022)
Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
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) (2022)
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) (2022)
Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten de Rijke
Hyperspherical Variational Co-embedding for Attributed Networks. ACM Trans. Inf. Syst. 40 (3) (2022)
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)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. 24 (4-5) (2021)
Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
Variational Continual Bayesian Meta-Learning. NeurIPS (2021)
Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier
Few-Shot Table-to-Text Generation with Prototype Memory. CoRR (2021)
Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
Structure-Aware Random Fourier Kernel for Graphs. NeurIPS (2021)
Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis
Graph Neural Pre-training for Enhancing Recommendations using Side Information. CoRR (2021)
Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
Learning Dynamic Embeddings for Temporal Knowledge Graphs. WSDM (2021)
Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng
Probabilistic and Variational Recommendation Denoising. CoRR (2021)
Huimin Huang, Zaiqiao Meng, Hong Shen
Competitive and complementary influence maximization in social network: A follower's perspective. Knowl. Based Syst. 213 (2021)
Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. CoRR (2021)
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 (2021)
Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier
Self-Alignment Pretraining for Biomedical Entity Representations. NAACL-HLT (2021)
Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier
Few-Shot Table-to-Text Generation with Prototype Memory. EMNLP (Findings) (2021)
Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz
Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR (2021)
Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
Gaussian Process with Graph Convolutional Kernel for Relational Learning. KDD (2021)
Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. EMNLP (1) (2021)
Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI (2021)
Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. CoRR (2021)
Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng
A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR (2020)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR (2020)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys (2020)
Huimin Huang, Zaiqiao Meng, Shangsong Liang
Recurrent neural variational model for follower-based influence maximization. Inf. Sci. 528 (2020)
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)
Huimin Huang, Hong Shen, Zaiqiao Meng
Community-based influence maximization in attributed networks. Appl. Intell. 50 (2) (2020)
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) (2020)
Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier
Self-alignment Pre-training for Biomedical Entity Representations. CoRR (2020)
Huimin Huang, Hong Shen, Zaiqiao Meng, Huajian Chang, Huaiwen He
Community-based influence maximization for viral marketing. Appl. Intell. 49 (6) (2019)
Yupeng Luo, Shangsong Liang, Zaiqiao Meng
Constrained Co-embedding Model for User Profiling in Question Answering Communities. CIKM (2019)
Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
Semi-supervisedly Co-embedding Attributed Networks. CoRR (2019)
Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR (2019)
Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng
Bayesian Deep Collaborative Matrix Factorization. AAAI (2019)
Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang
Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM (2019)
Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
Semi-supervisedly Co-embedding Attributed Networks. NeurIPS (2019)
Teng Xiao, Shangsong Liang, Zaiqiao Meng
Dynamic Collaborative Recurrent Learning. CIKM (2019)
Teng Xiao, Shangsong Liang, Zaiqiao Meng
Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW (2019)
Huimin Huang, Hong Shen, Zaiqiao Meng
Item diversified recommendation based on influence diffusion. Inf. Process. Manag. 56 (3) (2019)
Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang
Co-Embedding Attributed Networks. WSDM (2019)
Zaiqiao Meng, Hong Shen
similarity search in large dynamic attributed networks. Inf. Process. Manag. 56 (6) (2019)
Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng
Neural Variational Hybrid Collaborative Filtering. CoRR (2018)
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) (2018)
Zaiqiao Meng, Hong Shen
search in large attributed networks. Knowl. Based Syst. 150 (2018)
Zaiqiao Meng, Hong Shen
Scalable Aspects Learning for Intent-Aware Diversified Search on Social Networks. IEEE Access 6 (2018)
Zaiqiao Meng, Hong Shen
NMFDIV: A Nonnegative Matrix Factorization Approach for Search Result Diversification on Attributed Networks. PDCAT (2017)
Zaiqiao Meng, Hong Shen
Diversified Top-k Similarity Search in Large Attributed Networks. CoRR (2016)