Peng Han

Orcid: 0000-0003-1201-2060

Affiliations:

University of Electronic Science and Technology of China, China
Aalborg University, Denmark
King Abdullah University of Science and Technology, Saudi Arabia

According to our database¹, Peng Han authored at least 43 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Cross-Task Multimodal Reinforcement for Long Tail Next POI Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Multi-view heterogeneous graph learning with compressed hypergraph neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2024

VGE: Gene-Disease Association by Variational Graph Embedding.

[BibT_eX]

[DOI]

Peng Han

Xiangliang Zhang

Int. J. Crowd Sci., 2024

Sketch: A Toolkit for Streamlining LLM Operations.

[BibT_eX]

[DOI]

CoRR, 2024

Open-domain Implicit Format Control for Large Language Model Generation.

[BibT_eX]

[DOI]

CoRR, 2024

PORCA: Root Cause Analysis with Partially Observed Data.

[BibT_eX]

[DOI]

CoRR, 2024

What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks.

[BibT_eX]

[DOI]

CoRR, 2024

DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level.

[BibT_eX]

[DOI]

CoRR, 2024

Not all Layers of LLMs are Necessary during Inference.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring.

[BibT_eX]

[DOI]

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

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding.

[BibT_eX]

[DOI]

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

2023

Personalized Re-ranking for Recommendation with Mask Pretraining.

[BibT_eX]

[DOI]

Data Sci. Eng., December, 2023

UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining.

[BibT_eX]

[DOI]

World Wide Web (WWW), November, 2023

Spatial-temporal fusion graph framework for trajectory similarity computation.

[BibT_eX]

[DOI]

World Wide Web (WWW), July, 2023

Sequence Labeling With Meta-Learning.

[BibT_eX]

[DOI]

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

FLM-101B: An Open LLM and How to Train It with $100K Budget.

[BibT_eX]

[DOI]

CoRR, 2023

EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Heterogeneous Region Embedding with Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Next POI Recommendation with Dynamic Graph and Explicit Dependency.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Point-of-Interest Recommendation With Global and Local Context.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Scene Re-ranking for Recommendation.

[BibT_eX]

[DOI]

Peng Han

Shuo Shang

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Graph-Flashback Network for Next Location Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Interactive Information Extraction by Semantic Information Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting.

[BibT_eX]

[DOI]

Xiaochuan Gou

Peng Han

Xiangliang Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

GNN-Retro: Retrosynthetic Planning with Graph Neural Networks.

[BibT_eX]

[DOI]

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

2021

LSDDL: Layer-Wise Sparsification for Distributed Deep Learning.

[BibT_eX]

[DOI]

Yuxi Hong

Peng Han

Big Data Res., 2021

A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks.

[BibT_eX]

[DOI]

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

2020

Detecting thoracic diseases via representation learning with adaptive sampling.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Learning Personalized Itemset Mapping for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Contextualized Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AUC-MF: Point of Interest Recommendation with AUC Maximization.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

2017

Learning from Weak and Noisy Labels for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Graph-boosted convolutional neural networks for semantic segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Segmentation with Selectively Propagated Constraints.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Semantic Sparse Recoding of Visual Content for Image Applications.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Peng Han

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