Shangsong Liang

Orcid: 0000-0003-1625-2168

According to our database1, Shangsong Liang authored at least 98 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces.
ACM Comput. Surv., June, 2024

Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Dynamic Co-Embedding Model for Temporal Attributed Networks.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction.
CoRR, 2024

Spatial-Aware Multi-Directional Autoencoder For Pre-Training.
Comput. J., 2024

KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2024

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction.
BMC Bioinform., December, 2023

Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search.
ACM Trans. Web, November, 2023

Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations.
Briefings Bioinform., September, 2023

Cross-Temporal Snapshot Alignment for Dynamic Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Enhancing Conversational Recommendation Systems with Representation Fusion.
ACM Trans. Web, February, 2023

CLEX: Continuous Length Extrapolation for Large Language Models.
CoRR, 2023

Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Leveraging Relational Graph Neural Network for Transductive Model Ensemble.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Adaptive Compositional Continual Meta-Learning.
Proceedings of the International Conference on Machine Learning, 2023

Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports.
Proceedings of the IEEE International Conference on Big Data, 2023

A Distribution Preserving Model for Molecular Graph Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Wasserstein Topology Transfer for Joint Distilling Embeddings of Knowledge Graph Entities and Relations.
Proceedings of the 6th International Conference on Algorithms, 2023

2022
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising.
ACM Trans. Inf. Syst., 2022

Personalized, Sequential, Attentive, Metric-Aware Product Search.
ACM Trans. Inf. Syst., 2022

Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model.
ACM Trans. Inf. Syst., 2022

Hyperspherical Variational Co-embedding for Attributed Networks.
ACM Trans. Inf. Syst., 2022

A Normalizing Flow-Based Co-Embedding Model for Attributed Networks.
ACM Trans. Knowl. Discov. Data, 2022

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites.
Inf., 2022

Meta-Learning Helps Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification.
Expert Syst. Appl., 2021

Learning to Detect Few-Shot-Few-Clue Misinformation.
CoRR, 2021

Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding.
Comput. Intell. Neurosci., 2021

Constrained Generative Adversarial Networks.
IEEE Access, 2021

Learning Dynamic Embeddings for Temporal Knowledge Graphs.
Proceedings of the WSDM '21, 2021

Data-Hungry Issue in Personalized Product Search.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

Latent Multi-view Subspace Clustering Based on Schatten-P Norm.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

Variational Continual Bayesian Meta-Learning.
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.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gaussian Process with Graph Convolutional Kernel for Relational Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Jointly Learning Representations of Nodes and Attributes for Attributed Networks.
ACM Trans. Inf. Syst., 2020

Recurrent neural variational model for follower-based influence maximization.
Inf. Sci., 2020

Addressing Class-Imbalance Problem in Personalized Ranking.
CoRR, 2020

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

A Novel Distributed Reinforcement Learning Method for Classical Chinese Poetry Generation.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2020

BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts.
IEEE Trans. Knowl. Data Eng., 2019

Reply-Aided Detection of Misinformation via Bayesian Deep Learning.
Proceedings of the World Wide Web Conference, 2019

From Stances' Imbalance to Their HierarchicalRepresentation and Detection.
Proceedings of the World Wide Web Conference, 2019

Hierarchical Neural Variational Model for Personalized Sequential Recommendation.
Proceedings of the World Wide Web Conference, 2019

Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval.
Proceedings of the World Wide Web Conference, 2019

Co-Embedding Attributed Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Semi-supervisedly Co-embedding Attributed Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dynamic Bayesian Metric Learning for Personalized Product Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Dynamic Collaborative Recurrent Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Constrained Co-embedding Model for User Profiling in Question Answering Communities.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-Order Attentive Ranking Model for Sequential Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Bayesian Deep Collaborative Matrix Factorization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Collaborative, Dynamic and Diversified User Profiling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Variational Self-attention Model for Sentence Representation.
CoRR, 2018

Neural Variational Hybrid Collaborative Filtering.
CoRR, 2018

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.
CoRR, 2018

Ranking-based Method for News Stance Detection.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Manifold Learning for Rank Aggregation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Dynamic Embeddings for User Profiling in Twitter.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Dynamic User Profiling for Streams of Short Texts.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Search Result Diversification in Short Text Streams.
ACM Trans. Inf. Syst., 2017

Inferring Dynamic User Interests in Streams of Short Texts for User Clustering.
ACM Trans. Inf. Syst., 2017

A Concept Language Model for Ad-hoc Retrieval.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Summarizing Answers in Non-Factoid Community Question-Answering.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Social Collaborative Viewpoint Regression with Explainable Recommendations.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Collaborative User Clustering for Short Text Streams.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Efficient Structured Learning for Personalized Diversification.
IEEE Trans. Knowl. Data Eng., 2016

Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion.
IEEE Trans. Knowl. Data Eng., 2016

Formal language models for finding groups of experts.
Inf. Process. Manag., 2016

Personalized Re-ranking of Tweets.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Explainable User Clustering in Short Text Streams.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Dynamic Clustering of Streaming Short Documents.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Burst-aware data fusion for microblog search.
Inf. Process. Manag., 2015

2014
Hierarchical multi-label classification of social text streams.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Fusion helps diversification.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Personalized document re-ranking based on Bayesian probabilistic matrix factorization.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Personalized search result diversification via structured learning.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search.
Proceedings of the Advances in Information Retrieval, 2014

Time-Aware Rank Aggregation for Microblog Search.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Time-sensitive Personalized Query Auto-Completion.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Personalized time-aware tweets summarization.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Finding knowledgeable groups in enterprise corpora.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Late Data Fusion for Microblog Search.
Proceedings of the Advances in Information Retrieval, 2013

2010
A Multi-Descriptor, Multi-Nearest Neighbor Approach for Image Classification.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2009
Blind-Road Location and Recognition in Natural Scene.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009


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