Shanshan Feng

Orcid: 0000-0002-6161-9232

Affiliations:
  • A*STAR, Centre for Frontier AI Research, Singapore
  • Harbin Institute of Technology, Shenzhen, China
  • Inception Institute of Artificial Intelligence, Abu Dhabi, UAE (former)
  • Nanyang Technological University, Singapore (former)


According to our database1, Shanshan Feng authored at least 97 papers between 2014 and 2025.

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Bibliography

2025
MHR: A Multi-Modal Hyperbolic Representation Framework for Fake News Detection.
IEEE Trans. Knowl. Data Eng., April, 2025

COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation.
Neural Networks, 2025

Accident investigation via LLMs reasoning: HFACS-guided Chain-of-Thoughts enhance general aviation safety.
Expert Syst. Appl., 2025

AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Few-Shot Relation Extraction With Dual Graph Neural Network Interaction.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Spherical Neural Operator Network for Global Weather Prediction.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

Continuous frequent contact detection over moving objects.
GeoInformatica, April, 2024

Exploring and Exploiting High-Order Spatial-Temporal Dynamics for Long-Term Frame Prediction.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Exploiting Group-Level Behavior Pattern for Session-Based Recommendation.
IEEE Trans. Knowl. Data Eng., January, 2024

LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics.
IEEE Trans. Geosci. Remote. Sens., 2024

AMANet: An Adaptive Memory Attention Network for video cloud detection.
Pattern Recognit., 2024

SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection.
Neural Networks, 2024

Exploiting global contextual information for document-level named entity recognition.
Knowl. Based Syst., 2024

The Digital Ecosystem of Beliefs: does evolution favour AI over humans?
CoRR, 2024

AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting.
CoRR, 2024

Prototype Optimization with Neural ODE for Few-Shot Learning.
CoRR, 2024

Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons.
CoRR, 2024

SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs.
CoRR, 2024

A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models.
CoRR, 2024

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation.
CoRR, 2024

Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations.
CoRR, 2024

LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries.
CoRR, 2024

Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework.
Proceedings of the ACM on Web Conference 2024, 2024

Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Simulating Individual Infection Risk over Big Trajectory Data.
Proceedings of the Database Systems for Advanced Applications, 2024

Flexible Contact Correlation Learning on Spatio-Temporal Trajectories.
Proceedings of the Database Systems for Advanced Applications, 2024

DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences.
Proceedings of the Database Systems for Advanced Applications, 2024

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network.
Neural Networks, November, 2023

MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

Prototype Completion for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

H-Diffu: Hyperbolic Representations for Information Diffusion Prediction.
IEEE Trans. Knowl. Data Eng., September, 2023

ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity.
IEEE Trans. Knowl. Data Eng., September, 2023

On Understanding of Spatiotemporal Prediction Model.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Spatiotemporal prediction in three-dimensional space by separating information interactions.
Appl. Intell., July, 2023

MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

NPDN-3D: A 3D neural partial differential network for spatiotemporal prediction.
Pattern Recognit., June, 2023

Anchor Assisted Experience Replay for Online Class-Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions.
Neural Networks, May, 2023

Interpretable local flow attention for multi-step traffic flow prediction.
Neural Networks, April, 2023

Cross-View Object Geo-Localization in a Local Region With Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023

TRCDNet: A Transformer Network for Video Cloud Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Adaptive Transfer of Graph Neural Networks for Few-Shot Molecular Property Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graphs.
Proc. VLDB Endow., 2023

Exploiting Spatial-Temporal Dynamics for Satellite Image Sequence Prediction.
IEEE Geosci. Remote. Sens. Lett., 2023

Future Event Prediction Based on Temporal Knowledge Graph Embedding.
Comput. Syst. Sci. Eng., 2023

HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning.
CoRR, 2023

IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation.
CoRR, 2023

UER: A Heuristic Bias Addressing Approach for Online Continual Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Trilevel Optimization Model for Competitive Pricing of Electric Vehicle Charging Station Considering Distribution Locational Marginal Price.
IEEE Trans. Smart Grid, 2022

Few-Shot Named Entity Recognition via Meta-Learning.
IEEE Trans. Knowl. Data Eng., 2022

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Experimental Study on Generative Adversarial Network for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens., 2022

LWCDnet: A Lightweight Network for Efficient Cloud Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

MSTCGAN: Multiscale Time Conditional Generative Adversarial Network for Long-Term Satellite Image Sequence Prediction.
IEEE Trans. Geosci. Remote. Sens., 2022

Multisensor Fusion and Explicit Semantic Preserving-Based Deep Hashing for Cross-Modal Remote Sensing Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2022

ECDNet: A bilateral lightweight cloud detection network for remote sensing images.
Pattern Recognit., 2022

LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction.
Neural Networks, 2022

Better Visual Interpretation for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Artificial intelligence-enabled non-intrusive vigilance assessment approach to reducing traffic controller's human errors.
Knowl. Based Syst., 2022

Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval.
Knowl. Based Syst., 2022

SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction.
Inf. Sci., 2022

MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning.
CoRR, 2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.
CoRR, 2022

Visual Grounding in Remote Sensing Images.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Target-guided Emotion-aware Chat Machine.
ACM Trans. Inf. Syst., 2021

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.
CoRR, 2021

Exploiting Global Contextual Information for Document-level Named Entity Recognition.
CoRR, 2021

Eye Tracking Analytics for Mental States Assessment - A Review.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Node2LV: Squared Lorentzian Representations for Node Proximity.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Prospective on Eye-Tracking-based Studies in Immersive Virtual Reality.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation.
CoRR, 2020

Exploring Global Information for Session-based Recommendation.
CoRR, 2020

User-based Network Embedding for Collective Opinion Spammer Detection.
CoRR, 2020

A Survey on Recent Advances in Sequence Labeling from Deep Learning Models.
CoRR, 2020

HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Evaluation of Humanoid Robot Design Based on Global Eye-Tracking Metrics.
Proceedings of the Transdisciplinary Engineering for Complex Socio-technical Systems - Real-life Applications, 2020

2019
Anchor Link Prediction across Attributed Networks via Network Embedding.
Entropy, 2019

2018
Budget-Efficient Viral Video Distribution Over Online Social Networks: Mining Topic-Aware Influential Users.
IEEE Trans. Circuits Syst. Video Technol., 2018

Inf2vec: Latent Representation Model for Social Influence Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

POI2Vec: Geographical Latent Representation for Predicting Future Visitors.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
Personalized Ranking Metric Embedding for Next New POI Recommendation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Influence Maximization with Novelty Decay in Social Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014


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