郭侃｜北京工业大学｜学者主页

2026

Enhancing Personalized Federated Continual Learning with Client-Specific Semantic Knowledge

Yongli Hu, Hongyu Chen, Huajie Jiang, Kan Guo, T Liu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

Mix-Persona Comment Generation for LLM Fine-Tuning in Multimodal Crisis Post Classification

Tong Bie, Yongli Hu, Yu Fu, Linjia Hao, Huajie Jiang, Kan Guo, T Liu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

Language-Guided Contrastive Learning and Difference Enhancement for Semantic Change Detection in Remote Sensing Images

Yongli Hu, Lintian Ren, Huajie Jiang, Kan Guo, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin

Remote Sensing

DOI

2026

Mix-Persona Comment Generation and Geographically Enhanced Context Retrieval for LLM Fine-Tuning in Multimodal Crisis Post Classification

Tong Bie, Yongli Hu, Yu Fu, Linjia Hao, Tengfei Liu, Kan Guo, Huajie Jiang, Junbin Gao, Yanan Sun, Baocai Yin

ISPRS International Journal of Geo-Information

DOI

2026

Metacognition Inspired Reflective Chain-of-Thought for Knowledge-Based VQA

Zhongfan Sun, Kan Guo, Yongli Hu, Yong Zhang

Computers, materials & continua/Computers, materials & continua (Print)

DOI

2026

REFD: Relation-aware Entity Feature Decoupling for Multimodal Knowledge Graph Completion

Linjia Hao, Yongli Hu, Tong Bie, Huajie Jiang, Kan Guo, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE Transactions on Multimedia

DOI

2026

Multimodal Reflective Synergy: Orchestrating Large-Small Model Collaboration for Knowledge-Based Visual Question Answering

Zhongfan Sun, Kan Guo, Yongli Hu, Jiapu Wang, Daxin Tian, Baocai Yin

IEEE Transactions on Multimedia

DOI

2026

Multi-faceted contrastive learning with inter-frame difference for traffic video question answering

Kan Guo, Qi Zuo, Yong-Li Hu, Lanping Qian, D. Tian, Jia-Pu Wang, Gui-Xian Qu, Tingzheng Jia, Jun-Bin Gao, Bao-Cai Yin, Jian Wu

Knowledge-Based Systems

DOI

2026

SSM-Det: State Space Model-Based Object Detector for Intelligent Transportation System

Jiaqi Wang, Chun-Mian Lin, Kan Guo, Jiangang Guo

IEEE transactions on intelligent transportation systems (Print)

DOI

2026

AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models

Tingzheng Jia, Kan Guo, Lanping Qian, Yong-Li Hu, Daxin Tian, Gui-Xian Qu, Chun-Mian Lin, Bao-Cai Yin, Jia-Pu Wang

arXiv.org

DOI

2025

面向低空自主无人机的单目仿生智能感知技术

刘朕鑫，宁家林，杨旭，曲桂娴，郭侃，司杨

《人工智能》

DOI

2025

基于传感器时序信息增强的剩余寿命预测方法

曲桂娴，刘冬阳，杨旭，邱天，刘传凯，丁水汀，袁树峥，郭侃

《航空学报》

2025

Large-Small Model Synergy with Multimodal Fine-Grained Heuristics for Knowledge-Based Visual Question Answering

Zhongfan Sun, Kan Guo, Yongli Hu, Daxin Tian, Qingqing Gao, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin

ACM International Conference on Multimedia (ACM MM)

DOI

2025

MDPM: Modulating domain-specific prompt memory for multi-domain traffic flow prediction with transformers

Zhuang Zhuang, Lingbo Liu, Kan Guo, Xingtong Yu, Heng Qi, Yanming Shen, Baocai Yin

Knowledge-Based Systems

DOI

2025

Bridging Heterogeneous Gap: A POI Correlation Learning Graph Convolution Network for Traffic Forecasting

Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin

Lecture notes in electrical engineering

DOI

2025

DMP: Difference-Guided Motion Prediction for Vision-Centric Autonomous Driving

Yanyan Chen, Chun-Mian Lin, Xu-Ting Duan, Jian-Shan Zhou, Kan Guo, De-Zong Zhao, D. Cao, D. Tian

IEEE transactions on intelligent transportation systems (Print)

DOI

2025

Spatial-Temporal Traffic Prediction Based on Multi-Scale Time Difference

Yong-Li Hu, Qi Zuo, Kan Guo, Zhong-Fan Sun, Tingzheng Jia

International Conference on Intelligent Computing

DOI

2024

CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering

Kan Guo, D. Tian, Yong-Li Hu, Chun-Mian Lin, Yan-Feng Sun, Jian-Shan Zhou, Xu-Ting Duan, Jun-Bin Gao, Bao-Cai Yin

IEEE transactions on circuits and systems for video technology (Print)

DOI

2024

Contrastive optimized graph convolution network for traffic forecasting

Kan Guo, D. Tian, Yong-Li Hu, Yan-Feng Sun, Z. Qian, Jian-Shan Zhou, Jun-Bin Gao, Bao-Cai Yin

Neurocomputing

DOI

2023

基于深度强化学习的自动驾驶决策行为研究综述

吴思凡，段续庭，周建山，郭侃，田大新

《人工智能》

2023

Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting

Yongli Hu, Ting Peng, Kan Guo, Yanfeng Sun, Junbin Gao, Baocai Yin

IET Intelligent Transport Systems

DOI

2022

基于图卷积网络的交通预测方法研究

郭侃

《北京工业大学》

2022

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction

Yanfeng Sun, Xiangheng Jiang, Yongli Hu, Fuqing Duan, Kan Guo, Boyue Wang, Junbin Gao, Baocai Yin

IEEE Transactions on Intelligent Transportation Systems

DOI

2021

Hierarchical Graph Convolution Network for Traffic Forecasting

Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2021

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

Kan Guo, Yongli Hu, Z. Qian, Hao Liu, Kecheng Zhang, Yan-Feng Sun, Jun-Bin Gao, Bao-Cai Yin

IEEE transactions on intelligent transportation systems (Print)

DOI

2020

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation

Kan Guo, Yongli Hu, Z. Qian, Yan-Feng Sun, Jun-Bin Gao, Bao-Cai Yin

IEEE transactions on intelligent transportation systems (Print)

DOI

2020

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting

Kan Guo, Yongli Hu, Z. Qian, Yan-Feng Sun, Jun-Bin Gao, Bao-Cai Yin

IEEE Intelligent Transportation Systems Magazine

DOI

郭侃

精选作品

期刊论文

Enhancing Personalized Federated Continual Learning with Client-Specific Semantic Knowledge

Mix-Persona Comment Generation for LLM Fine-Tuning in Multimodal Crisis Post Classification

Language-Guided Contrastive Learning and Difference Enhancement for Semantic Change Detection in Remote Sensing Images

Mix-Persona Comment Generation and Geographically Enhanced Context Retrieval for LLM Fine-Tuning in Multimodal Crisis Post Classification

Metacognition Inspired Reflective Chain-of-Thought for Knowledge-Based VQA

REFD: Relation-aware Entity Feature Decoupling for Multimodal Knowledge Graph Completion

Multimodal Reflective Synergy: Orchestrating Large-Small Model Collaboration for Knowledge-Based Visual Question Answering

Multi-faceted contrastive learning with inter-frame difference for traffic video question answering

SSM-Det: State Space Model-Based Object Detector for Intelligent Transportation System

AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models

面向低空自主无人机的单目仿生智能感知技术

基于传感器时序信息增强的剩余寿命预测方法

Large-Small Model Synergy with Multimodal Fine-Grained Heuristics for Knowledge-Based Visual Question Answering

MDPM: Modulating domain-specific prompt memory for multi-domain traffic flow prediction with transformers

Bridging Heterogeneous Gap: A POI Correlation Learning Graph Convolution Network for Traffic Forecasting

DMP: Difference-Guided Motion Prediction for Vision-Centric Autonomous Driving

Spatial-Temporal Traffic Prediction Based on Multi-Scale Time Difference

CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering

Contrastive optimized graph convolution network for traffic forecasting

基于深度强化学习的自动驾驶决策行为研究综述

Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting

基于图卷积网络的交通预测方法研究

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction

Hierarchical Graph Convolution Network for Traffic Forecasting

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting

研究方向