Diversified Top-k Similarity Search in Large Attributed Networks. - Zaiqiao Meng; Hong Shen 001 (CoRR, 2016)

NMFDIV: A Nonnegative Matrix Factorization Approach for Search Result Diversification on Attributed Networks. - Zaiqiao Meng; Hong Shen 001 (PDCAT, 2017)

Scalable Aspects Learning for Intent-Aware Diversified Search on Social Networks. - Zaiqiao Meng; Hong Shen 001 (IEEE Access, 2018)

Neural Variational Hybrid Collaborative Filtering. - Teng Xiao; Shangsong Liang; Hong Shen 001; Zaiqiao Meng (CoRR, 2018)

Search result diversification on attributed networks via nonnegative matrix factorization. - Zaiqiao Meng; Hong Shen 001; Huimin Huang 001; Wei Liu 061; Jing Wang 030; Arun Kumar Sangaiah (Inf. Process. Manag., 2018)

Dissimilarity-constrained node attribute coverage diversification for novelty-enhanced top-k search in large attributed networks. - Zaiqiao Meng; Hong Shen 001 (Knowl. Based Syst., 2018)

Bayesian Deep Collaborative Matrix Factorization. - Teng Xiao; Shangsong Liang; Weizhou Shen; Zaiqiao Meng (AAAI, 2019)

Constrained Co-embedding Model for User Profiling in Question Answering Communities. - Yupeng Luo; Shangsong Liang; Zaiqiao Meng (CIKM, 2019)

Dynamic Collaborative Recurrent Learning. - Teng Xiao; Shangsong Liang; Zaiqiao Meng (CIKM, 2019)

Dynamic Bayesian Metric Learning for Personalized Product Search. - Teng Xiao; Jiaxin Ren; Zaiqiao Meng; Huan Sun 001; Shangsong Liang (CIKM, 2019)

Semi-supervisedly Co-embedding Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Jinyuan Fang; Teng Xiao (NeurIPS, 2019)

Co-Embedding Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Hongyan Bao; Xiangliang Zhang 001 (WSDM, 2019)

Hierarchical Neural Variational Model for Personalized Sequential Recommendation. - Teng Xiao; Shangsong Liang; Zaiqiao Meng (WWW, 2019)

Community-based influence maximization for viral marketing. - Huimin Huang 001; Hong Shen 001; Zaiqiao Meng; Huajian Chang; Huaiwen He (Appl. Intell., 2019)

Variational Bayesian Context-aware Representation for Grocery Recommendation. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis (CoRR, 2019)

Item diversified recommendation based on influence diffusion. - Huimin Huang 001; Hong Shen 001; Zaiqiao Meng (Inf. Process. Manag., 2019)

Fast top-k similarity search in large dynamic attributed networks. - Zaiqiao Meng; Hong Shen 001 (Inf. Process. Manag., 2019)

Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis (RecSys, 2020)

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis; Siwei Liu 001; Yaxiong Wu 001; Xi Wang 012; Shangsong Liang; Yucheng Liang; Guangtao Zeng; Junhua Liang; Qiang Zhang 026 (RecSys, 2020)

A Heterogeneous Graph Neural Model for Cold-start Recommendation. - Siwei Liu 001; Iadh Ounis; Craig Macdonald; Zaiqiao Meng (SIGIR, 2020)

Community-based influence maximization in attributed networks. - Huimin Huang 001; Hong Shen 001; Zaiqiao Meng (Appl. Intell., 2020)

Self-alignment Pre-training for Biomedical Entity Representations. - Fangyu Liu 001; Ehsan Shareghi; Zaiqiao Meng; Marco Basaldella; Nigel Collier (CoRR, 2020)

Recurrent neural variational model for follower-based influence maximization. - Huimin Huang 001; Zaiqiao Meng; Shangsong Liang (Inf. Sci., 2020)

Jointly Learning Representations of Nodes and Attributes for Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Xiangliang Zhang 001; Richard McCreadie; Iadh Ounis (ACM Trans. Inf. Syst., 2020)

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. - Jinpeng Wang 002; Bin Chen 011; Qiang Zhang 026; Zaiqiao Meng; Shangsong Liang; Shutao Xia (AAAI, 2021)

Integrating Transformers and Knowledge Graphs for Twitter Stance Detection. - Thomas Hikaru Clark; Costanza Conforti; Fangyu Liu 001; Zaiqiao Meng; Ehsan Shareghi; Nigel Collier (W-NUT, 2021)

Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. - Zaiqiao Meng; Fangyu Liu 001; Thomas Hikaru Clark; Ehsan Shareghi; Nigel Collier (EMNLP (1), 2021)

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

Gaussian Process with Graph Convolutional Kernel for Relational Learning. - Jinyuan Fang; Shangsong Liang; Zaiqiao Meng; Qiang Zhang 026 (KDD, 2021)

Self-Alignment Pretraining for Biomedical Entity Representations. - Fangyu Liu 001; Ehsan Shareghi; Zaiqiao Meng; Marco Basaldella; Nigel Collier (NAACL-HLT, 2021)

Structure-Aware Random Fourier Kernel for Graphs. - Jinyuan Fang; Qiang Zhang 026; Zaiqiao Meng; Shangsong Liang (NeurIPS, 2021)

Variational Continual Bayesian Meta-Learning. - Qiang Zhang 026; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang; Emine Yilmaz (NeurIPS, 2021)

Learning Dynamic Embeddings for Temporal Knowledge Graphs. - Siyuan Liao; Shangsong Liang; Zaiqiao Meng; Qiang Zhang 026 (WSDM, 2021)

Probabilistic and Variational Recommendation Denoising. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Xiangnan He 001; Joemon M. Jose; Fuli Feng (CoRR, 2021)

Graph Neural Pre-training for Enhancing Recommendations using Side Information. - Zaiqiao Meng; Siwei Liu 001; Craig Macdonald; Iadh Ounis (CoRR, 2021)

Learning to Detect Few-Shot-Few-Clue Misinformation. - Qiang Zhang 026; Hongbin Huang; Shangsong Liang; Zaiqiao Meng; Emine Yilmaz (CoRR, 2021)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Yixuan Su; Fangyu Liu 001; Zaiqiao Meng; Lei Shu 004; Ehsan Shareghi; Nigel Collier (CoRR, 2021)

Variational Bayesian representation learning for grocery recommendation. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis (Inf. Retr. J., 2021)

Competitive and complementary influence maximization in social network: A follower's perspective. - Huimin Huang 001; Zaiqiao Meng; Hong Shen 001 (Knowl. Based Syst., 2021)

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. - Guanzheng Chen; Jinyuan Fang; Zaiqiao Meng; Qiang Zhang 026; Shangsong Liang (AAAI, 2022)

Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. - Zaiqiao Meng; Fangyu Liu 001; Ehsan Shareghi; Yixuan Su; Charlotte Collins; Nigel Collier (ACL (1), 2022)

Revisiting Parameter-Efficient Tuning: Are We Really There Yet? - Guanzheng Chen; Fangyu Liu 001; Zaiqiao Meng; Shangsong Liang (EMNLP, 2022)

A Conceptual Framework for Representing Events Under Public Health Surveillance. - Anya Okhmatovskaia; Yannan Shen; Iris Ganser; Nigel Collier; Nicholas B. King; Zaiqiao Meng; David L. Buckeridge (MIE, 2022)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Yixuan Su; Fangyu Liu 001; Zaiqiao Meng; Tian Lan 003; Lei Shu 004; Ehsan Shareghi; Nigel Collier (NAACL-HLT (Findings), 2022)

Learning Robust Recommenders through Cross-Model Agreement. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Joemon M. Jose; Fuli Feng; Xiangnan He 001 (WWW, 2022)

Meta-Learning Helps Personalized Product Search. - Bin Wu 025; Zaiqiao Meng; Qiang Zhang 026; Shangsong Liang (WWW, 2022)

BioCaster in 2021: automatic disease outbreaks detection from global news media. - Zaiqiao Meng; Anya Okhmatovskaia; Maxime Polleri; Yannan Shen; Guido Powell; Zihao Fu; Iris Ganser; Meiru Zhang; Nicholas B. King; David L. Buckeridge; Nigel Collier (Bioinform., 2022)

A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. - Shangsong Liang; Zhuo Ouyang; Zaiqiao Meng (ACM Trans. Knowl. Discov. Data, 2022)

Hyperspherical Variational Co-embedding for Attributed Networks. - Jinyuan Fang; Shangsong Liang; Zaiqiao Meng; Maarten de Rijke (ACM Trans. Inf. Syst., 2022)

Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model. - Shangsong Liang; Yupeng Luo; Zaiqiao Meng (ACM Trans. Inf. Syst., 2022)

Personalized, Sequential, Attentive, Metric-Aware Product Search. - Yaoxin Pan; Shangsong Liang; Jiaxin Ren; Zaiqiao Meng; Qiang Zhang 026 (ACM Trans. Inf. Syst., 2022)

MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition. - Jinyuan Fang; Xiaobin Wang; Zaiqiao Meng; Pengjun Xie; Fei Huang 002; Yong Jiang 005 (ACL (1), 2023)

KGPR: Knowledge Graph Enhanced Passage Ranking. - Jinyuan Fang; Zaiqiao Meng; Craig Macdonald (CIKM, 2023)

Can Pretrained Language Models (Yet) Reason Deductively? - Zhangdie Yuan; Songbo Hu; Ivan Vulic; Anna Korhonen; Zaiqiao Meng (EACL, 2023)

GenKIE: Robust Generative Multimodal Document Key Information Extraction. - Panfeng Cao; Ye Wang; Qiang Zhang 026; Zaiqiao Meng (EMNLP (Findings), 2023)

Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. - Zihao Fu; Yixuan Su; Zaiqiao Meng; Nigel Collier (EMNLP, 2023)

COFFEE: A Contrastive Oracle-Free Framework for Event Extraction. - Meiru Zhang; Yixuan Su; Zaiqiao Meng; Zihao Fu; Nigel Collier (CoRR, 2023)

LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. - Zijun Long; Zaiqiao Meng; Gerardo Aragon-Camarasa; Richard McCreadie (CoRR, 2023)

BAND: Biomedical Alert News Dataset. - Zihao Fu; Meiru Zhang; Zaiqiao Meng; Yannan Shen; Anya Okhmatovskaia; David L. Buckeridge; Nigel Collier (CoRR, 2023)

Label Denoising through Cross-Model Agreement. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Xiangnan He 001; Joemon M. Jose; Fuli Feng (CoRR, 2023)

When hard negative sampling meets supervised contrastive learning. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa; Zaiqiao Meng (CoRR, 2023)

Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models. - Yupan Huang; Zaiqiao Meng; Fangyu Liu 001; Yixuan Su; Nigel Collier; Yutong Lu (CoRR, 2023)

Graph Neural Pre-training for Recommendation with Side Information. - Siwei Liu 001; Zaiqiao Meng; Craig Macdonald; Iadh Ounis (ACM Trans. Inf. Syst., 2023)

Enhancing Conversational Recommendation Systems with Representation Fusion. - Yingxu Wang; Xiaoru Chen; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (ACM Trans. Web, 2023)

Cross-Temporal Snapshot Alignment for Dynamic Networks. - Shangsong Liang; Shaowei Tang; Zaiqiao Meng; Qiang Zhang 026 (IEEE Trans. Knowl. Data Eng., 2023)

Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search. - Bin Wu 025; Zaiqiao Meng; Shangsong Liang (ACM Trans. Web, 2023)

BAND: Biomedical Alert News Dataset. - Zihao Fu; Meiru Zhang; Zaiqiao Meng; Yannan Shen; David L. Buckeridge; Nigel Collier (AAAI, 2024)

REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (ACL (1), 2024)

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. - Giacomo Frisoni; Alessio Cocchieri; Alex Presepi; Gianluca Moro; Zaiqiao Meng (ACL (1), 2024)

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation. - Xi Zhang; Zaiqiao Meng; Jake Lever; Edmond S. L. Ho (BioNLP@ACL, 2024)

Towards Deep Generative Backmapping of Coarse-Grained Molecular Systems. - Jiasheng Li; Zaiqiao Meng; Shangsong Liang (CVIPPR, 2024)

CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. - Zijun Long; Lipeng Zhuang; George Killick; Zaiqiao Meng; Richard McCreadie; Gerardo Aragon-Camarasa (ECAI, 2024)

KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. - Zaiqiao Meng; Shangsong Liang; Xin Xin 003; Gianluca Moro; Evangelos Kanoulas; Emine Yilmaz (ECIR (5), 2024)

TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (EMNLP (Findings), 2024)

Can We Instruct LLMs to Compensate for Position Bias? - Meiru Zhang; Zaiqiao Meng; Nigel Collier (EMNLP (Findings), 2024)

LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. - Zijun Long; Richard McCreadie; Gerardo Aragon-Camarasa; Zaiqiao Meng (ICASSP, 2024)

CLEX: Continuous Length Extrapolation for Large Language Models. - Guanzheng Chen; Xin Li 056; Zaiqiao Meng; Shangsong Liang; Lidong Bing (ICLR, 2024)

Heterogeneous biomedical entity representation learning for gene-disease association prediction. - Zhaohan Meng; Siwei Liu 001; Shangsong Liang; Bhautesh Jani; Zaiqiao Meng (Briefings Bioinform., 2024)

BPP: a platform for automatic biochemical pathway prediction. - Xinhao Yi; Siwei Liu 001; Yu Wu; Douglas McCloskey; Zaiqiao Meng (Briefings Bioinform., 2024)

FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. - Zhaohan Meng; Zaiqiao Meng; Iadh Ounis (CoRR, 2024)

Attention Instruction: Amplifying Attention in the Middle via Prompting. - Meiru Zhang; Zaiqiao Meng; Nigel Collier (CoRR, 2024)

I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Reconstruction. - Zaiqiao Meng; Hao Zhou; Yifang Chen (CoRR, 2024)

On the Structural Memory of LLM Agents. - Ruihong Zeng; Jinyuan Fang; Siwei Liu 001; Zaiqiao Meng (CoRR, 2024)

Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations. - Xiaoru Chen; Yingxu Wang; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Dynamic Co-Embedding Model for Temporal Attributed Networks. - Shaowei Tang; Zaiqiao Meng; Shangsong Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. - Muhammad Arslan Manzoor; Sarah Albarri; Ziting Xian; Zaiqiao Meng; Preslav Nakov; Shangsong Liang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. - Jiahang Cao; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (ACM Comput. Surv., 2024)

Enhancing Graph Neural Networks via Memorized Global Information. - Ruihong Zeng; Jinyuan Fang; Siwei Liu 001; Zaiqiao Meng; Shangsong Liang (ACM Trans. Web, 2024)

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (ACL (1), 2025)

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis. - Xi Zhang; Zaiqiao Meng; Jake Lever; Edmond S. L. Ho (ACL (Findings), 2025)

KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. - Zihan Wang; Jinyuan Fang; Giacomo Frisoni; Zhuyun Dai; Zaiqiao Meng; Gianluca Moro; Emine Yilmaz (ECIR (5), 2025)

Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. - Craig Macdonald; Jinyuan Fang; Andrew Parry; Zaiqiao Meng (SIGIR, 2025)

Can We Edit LLMs for Long-Tail Biomedical Knowledge? - Xinhao Yi; Jake Lever; Kevin Bryson 001; Zaiqiao Meng (CoRR, 2025)

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports. - Francesco Dalla Serra; Patrick Schrempf; Chaoyang Wang; Zaiqiao Meng; Fani Deligianni; Alison Q. O'Neil (CoRR, 2025)

SEW: Self-Evolving Agentic Workflows for Automated Code Generation. - Siwei Liu 001; Jinyuan Fang; Han Zhou; Yingxu Wang; Zaiqiao Meng (CoRR, 2025)

EvoAgentX: An Automated Framework for Evolving Agentic Workflows. - Yingxu Wang; Siwei Liu 001; Jinyuan Fang; Zaiqiao Meng (CoRR, 2025)

Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG. - Fangzheng Tian; Jinyuan Fang; Debasis Ganguly; Zaiqiao Meng; Craig Macdonald (CoRR, 2025)

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems. - Jinyuan Fang; Yanwen Peng; Xi Zhang; Yingxu Wang; Xinhao Yi; Guibin Zhang; Yi Xu; Bin Wu 025; Siwei Liu 001; Zihao Li; Zhaochun Ren; Nikos Aletras; et al. (CoRR, 2025)