Zaiqiao Meng

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering.

[BibT_eX]

[DOI]

CoRR, 2024

CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion.

[BibT_eX]

[DOI]

Zijun Long

George Killick

Lipeng Zhuang

Gerardo Aragon-Camarasa

Richard McCreadie

CoRR, 2024

KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

BAND: Biomedical Alert News Dataset.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search.

[BibT_eX]

[DOI]

Bin Wu

ACM Trans. Web, November, 2023

Cross-Temporal Snapshot Alignment for Dynamic Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

Enhancing Conversational Recommendation Systems with Representation Fusion.

[BibT_eX]

[DOI]

ACM Trans. Web, February, 2023

Graph Neural Pre-training for Recommendation with Side Information.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2023

CLEX: Continuous Length Extrapolation for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models.

[BibT_eX]

[DOI]

CoRR, 2023

When hard negative sampling meets supervised contrastive learning.

[BibT_eX]

[DOI]

Zijun Long

George Killick

Richard McCreadie

Gerardo Aragon-Camarasa

CoRR, 2023

Label Denoising through Cross-Model Agreement.

[BibT_eX]

[DOI]

CoRR, 2023

BAND: Biomedical Alert News Dataset.

[BibT_eX]

[DOI]

CoRR, 2023

LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers.

[BibT_eX]

[DOI]

Zijun Long

Gerardo Aragon-Camarasa

Richard McCreadie

CoRR, 2023

COFFEE: A Contrastive Oracle-Free Framework for Event Extraction.

[BibT_eX]

[DOI]

CoRR, 2023

Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GenKIE: Robust Generative Multimodal Document Key Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can Pretrained Language Models (Yet) Reason Deductively?

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

KGPR: Knowledge Graph Enhanced Passage Ranking.

[BibT_eX]

[DOI]

Jinyuan Fang

Craig Macdonald

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Personalized, Sequential, Attentive, Metric-Aware Product Search.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model.

[BibT_eX]

[DOI]

Yupeng Luo

ACM Trans. Inf. Syst., 2022

Hyperspherical Variational Co-embedding for Attributed Networks.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

A Normalizing Flow-Based Co-Embedding Model for Attributed Networks.

[BibT_eX]

[DOI]

Zhuo Ouyang

ACM Trans. Knowl. Discov. Data, 2022

BioCaster in 2021: automatic disease outbreaks detection from global news media.

[BibT_eX]

[DOI]

Bioinform., 2022

Meta-Learning Helps Personalized Product Search.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Robust Recommenders through Cross-Model Agreement.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Conceptual Framework for Representing Events Under Public Health Surveillance.

[BibT_eX]

[DOI]

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Revisiting Parameter-Efficient Tuning: Are We Really There Yet?

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Competitive and complementary influence maximization in social network: A follower's perspective.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Variational Bayesian representation learning for grocery recommendation.

[BibT_eX]

[DOI]

Inf. Retr. J., 2021

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Detect Few-Shot-Few-Clue Misinformation.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Neural Pre-training for Enhancing Recommendations using Side Information.

[BibT_eX]

[DOI]

CoRR, 2021

Probabilistic and Variational Recommendation Denoising.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Dynamic Embeddings for Temporal Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Variational Continual Bayesian Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structure-Aware Random Fourier Kernel for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-Alignment Pretraining for Biomedical Entity Representations.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Gaussian Process with Graph Convolutional Kernel for Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Few-Shot Table-to-Text Generation with Prototype Memory.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Integrating Transformers and Knowledge Graphs for Twitter Stance Detection.

[BibT_eX]

[DOI]

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Jointly Learning Representations of Nodes and Attributes for Attributed Networks.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2020

Recurrent neural variational model for follower-based influence maximization.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Self-alignment Pre-training for Biomedical Entity Representations.

[BibT_eX]

[DOI]

CoRR, 2020

Community-based influence maximization in attributed networks.

[BibT_eX]

[DOI]

Appl. Intell., 2020

A Heterogeneous Graph Neural Model for Cold-start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Exploring Data Splitting Strategies for the Evaluation of Recommendation Models.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Fast top-<i>k</i> similarity search in large dynamic attributed networks.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2019

Item diversified recommendation based on influence diffusion.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2019

Variational Bayesian Context-aware Representation for Grocery Recommendation.

[BibT_eX]

[DOI]

CoRR, 2019

Community-based influence maximization for viral marketing.

[BibT_eX]

[DOI]

Appl. Intell., 2019

Hierarchical Neural Variational Model for Personalized Sequential Recommendation.

[BibT_eX]

[DOI]

Teng Xiao

Proceedings of the World Wide Web Conference, 2019

Co-Embedding Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Semi-supervisedly Co-embedding Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dynamic Bayesian Metric Learning for Personalized Product Search.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Dynamic Collaborative Recurrent Learning.

[BibT_eX]

[DOI]

Teng Xiao

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Constrained Co-embedding Model for User Profiling in Question Answering Communities.

[BibT_eX]

[DOI]

Yupeng Luo

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Bayesian Deep Collaborative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dissimilarity-constrained node attribute coverage diversification for novelty-enhanced top-<i>k</i> search in large attributed networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Search result diversification on attributed networks via nonnegative matrix factorization.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2018

Neural Variational Hybrid Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2018

Scalable Aspects Learning for Intent-Aware Diversified Search on Social Networks.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

NMFDIV: A Nonnegative Matrix Factorization Approach for Search Result Diversification on Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Parallel and Distributed Computing, 2017

2016

Diversified Top-k Similarity Search in Large Attributed Networks.

[BibT_eX]

[DOI]