Jinpeng Chen

Orcid: 0000-0003-4157-5110

Affiliations:
  • Beijing University of Posts and Telecommunications, School of Computer Science (National Pilot Software Engineering School), China
  • Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China (PhD 2016)


According to our database1, Jinpeng Chen authored at least 62 papers between 2013 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
M4Rec: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2026

See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs.
CoRR, April, 2026

Medical Image Privacy in Federated Learning: Segmentation-Reorganization and Sparsified Gradient Matching Attacks.
IEEE J. Biomed. Health Informatics, February, 2026

Enhancing Explainable Sequential Recommendation With Disentangled Representations and Auxiliary Review Explanations.
IEEE Trans. Comput. Soc. Syst., February, 2026

Adapt-MDRL: An Adaptive Multiagent Deep Reinforcement Learning Framework for Dynamic UAV Crowdsensing.
IEEE Trans. Aerosp. Electron. Syst., 2026

Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation.
Proceedings of the ACM Web Conference 2026, 2026

DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Stable Task Allocation in Mobile Crowdsensing: An Interruption-Driven Approach.
IEEE Trans. Netw. Serv. Manag., December, 2025

Driving Risk Assessment for Intelligent Vehicles Based on Entropy-Informed Graph Neural Networks and Gaussian Distributions.
IEEE Trans. Neural Networks Learn. Syst., September, 2025

Adaptive graph diffusion networks: compact and expressive GNNs with large receptive fields.
Artif. Intell. Rev., April, 2025

Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training.
Pattern Recognit., 2025

Privacy-Preserving Multitask Online Matching in Mobile Crowdsensing: A Snapshot-Based Approach.
IEEE Internet Things J., 2025

PD-DRL: Towards privacy-preserving and energy-sustainable UAV crowdsensing.
Internet Things, 2025

Dual-view collaboration fusion on diffusion learning for bundle recommendation.
Inf. Fusion, 2025

IDBR: Interaction-Aware Dual-Granularity Learning for Bundle Recommendation.
Big Data Min. Anal., 2025

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Heterogeneous Graph-Based Sequential Recommendation with Disentangled Methods.
Proceedings of the IEEE International Conference on Data Mining, 2025

SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Aggregation-based dual heterogeneous task allocation in spatial crowdsourcing.
Frontiers Comput. Sci., December, 2024

CRAS: cross-domain recommendation via aspect-level sentiment extraction.
Knowl. Inf. Syst., September, 2024

Group Task Recommendation in Mobile Crowdsensing: An Attention-Based Neural Collaborative Approach.
IEEE Trans. Mob. Comput., August, 2024

EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation.
World Wide Web (WWW), March, 2024

SR-HetGNN: session-based recommendation with heterogeneous graph neural network.
Knowl. Inf. Syst., February, 2024

GI-SMN: Gradient Inversion Attack Against Federated Learning Without Prior Knowledge.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

From Black-box to Label-only: a Plug-and-Play Attack Network for Model Inversion.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
FePN: A robust feature purification network to defend against adversarial examples.
Comput. Secur., November, 2023

SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation.
CoRR, 2023

Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Automatic Tagging by Leveraging Visual and Annotated Features in Social Media.
IEEE Trans. Multim., 2022

A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities.
IEEE Open J. Comput. Soc., 2022

High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2022

Cancer classification with data augmentation based on generative adversarial networks.
Frontiers Comput. Sci., 2022

Sequential Intention-aware Recommender based on User Interaction Graph.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

UCL-AST: Active Self-Training with Uncertainty-Aware Clouded Logits for Few-Shot Text Classification.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Nearest Neighbor Classifier with Margin Penalty for Active Learning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

NOMABER: A Novel Framework for Multi-Type Abnormal Behaviour Recognition.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Session-based Recommendation with Heterogeneous Graph Neural Network.
CoRR, 2021

CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation Based on CelebA.
Proceedings of the Knowledge Science, Engineering and Management, 2021

2020
DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System.
Secur. Commun. Networks, 2020

Listening to the investors: A novel framework for online lending default prediction using deep learning neural networks.
Inf. Process. Manag., 2020

2019
Improving music recommendation by incorporating social influence.
Multim. Tools Appl., 2019

Attribute-Sentiment Pair Correlation Model Based on Online User Reviews.
J. Sensors, 2019

A Sentiment-Aware Trading Volume Prediction Model for P2P Market Using LSTM.
IEEE Access, 2019

2018
Exploiting Spatial and Temporal for Point of Interest Recommendation.
Complex., 2018

Inferring tag co-occurrence relationship across heterogeneous social networks.
Appl. Soft Comput., 2018

2017
User emotion for modeling retweeting behaviors.
Neural Networks, 2017

Crowdsourcing Based Evaluation of Ranking Approaches for Spatial Keyword Querying.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

2016
Home location profiling for users in social media.
Inf. Manag., 2016

Dynamic group recommendation with modified collaborative filtering and temporal factor.
Int. Arab J. Inf. Technol., 2016

Facial Age Estimation with Images in the Wild.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

2015
Enhancing Recommender Diversity Using Gaussian Cloud Transformation.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

2014
Face recognition based on data field.
Proceedings of the International Conference on Audio, 2014

From tie strength to function: Home location estimation in social network.
Proceedings of the IEEE Computers, 2014

2013
Recommending Interesting Landmarks Based on Geo-tags from Photo Sharing Sites.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

A Novel Framework for Improving Recommender Diversity.
Proceedings of the Behavior and Social Computing, 2013

Tag Co-occurrence Relationship Prediction in Heterogeneous Information Networks.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013


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