Canghong Jin

48 papers A* 6A 1B 4C 4Journal 26Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models.
CoRR
Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang
2026 A* conf
Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders.
WWW
Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2026 A* conf
Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning.
AAAI
Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng, Junshu Dai, Bingde Hu, Shunyu Liu, Canghong Jin
2026 A* conf
TopKGAT: A Top-K Objective-Driven Architecture for Recommendation.
WWW
Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang
2026 J jnl
TopKGAT: A Top-K Objective-Driven Architecture for Recommendation.
CoRR
Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang
2025 J jnl
BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks.
Expert Syst. Appl.
Canghong Jin, Hao Ni, Feng Miao, Tongya Zheng, Mingli Song, Zemin Liu
2025 B conf
D-FRGAT: Event Prediction Framework Based on Temporal Knowledge Graph Reasoning.
PRICAI
Lisha Peng, Canghong Jin, Longxiang Shi, Qihao Shi
2025 J jnl
Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders.
CoRR
Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2025 J jnl
Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning.
CoRR
Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng, Junshu Dai, Bingde Hu, Shunyu Liu, Canghong Jin
2025 — conf
FedAF: Federated Learning Framework Based on Attention Mechanisms and Fisher Information Matrix.
ICIC (10)
Yuanhong Xiao, Canghong Jin, Lisha Peng
2025 A* conf
Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis.
IJCAI
Lina Wei, Yuhang Ma, Zhongsheng Lin, Fangfang Wang, Canghong Jin, Hanbin Zhao, Dapeng Chen
2025 J jnl
HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation.
CoRR
Yu Cui, Feng Liu, Jiawei Chen, Canghong Jin, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Can Wang
2025 J jnl
Intra and inter-series pattern representations fusion network for multiple time series forecasting.
Appl. Soft Comput.
Canghong Jin, Tianyi Chen, Hao Ni, Qihao Shi
2025 J jnl
Learning Multi-Modal Mobility Dynamics for Generalized Next Location Recommendation.
CoRR
Junshu Dai, Yu Wang, Tongya Zheng, Wei Ji, Qinghong Guo, Ji Cao, Jie Song, Canghong Jin, Mingli Song
2025 A conf
MamFusion: Multi-Mamba with Temporal Fusion for Partially Relevant Video Retrieval.
ICME
Xinru Ying, Jiaqi Mo, Jingyang Lin, Canghong Jin, Fangfang Wang, Lina Wei
2025 J jnl
MamFusion: Multi-Mamba with Temporal Fusion for Partially Relevant Video Retrieval.
CoRR
Xinru Ying, Jiaqi Mo, Jingyang Lin, Canghong Jin, Fangfang Wang, Lina Wei
2025 — conf
Service Area Vehicle Flow Prediction Model for Highway Service Areas Based on Gravity Model Quadratic Assignment.
KSEM (4)
Feng Xu, Lai Meng, Yichu Dai, Zhengdong Fei, Canghong Jin, Lina Wei
2025 B conf
Tactile-Visual Class-Continual Learning via Temporal Attention Interaction.
IJCNN
Lina Wei, Yuhang Ma, Zhongsheng Lin, Xinru Ying, Canghong Jin, Fangfang Wang
2025 J jnl
Unifying Environment Perception and Route Choice Modeling for Trajectory Representation Learning.
CoRR
Ji Cao, Yu Wang, Tongya Zheng, Zujie Ren, Canghong Jin, Gang Chen, Mingli Song
2025 J jnl
WemiEnv: An Open-Source Reinforcement Learning Platform for WeChat Mini-Games.
IEEE Trans. Games
Longxiang Shi, Qianchen Ding, Jingzhe Hou, Binbin Zhou, Canghong Jin, Ye Tao, Jinling Wei, Shijian Li
2024 J jnl
Adversarial self-training for robustness and generalization.
Pattern Recognit. Lett.
Zhuorong Li, Minghui Wu, Canghong Jin, Daiwei Yu, Hongchuan Yu
2024 A* conf
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition.
IJCAI
Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin
2024 A* conf
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement.
CVPR
Zhuorong Li, Daiwei Yu, Lina Wei, Canghong Jin, Yun Zhang, Sixian Chan
2024 J jnl
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement.
CoRR
Daiwei Yu, Zhuorong Li, Lina Wei, Canghong Jin, Yun Zhang, Sixian Chan
2024 B conf
TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation.
IJCNN
Jiafeng Zhao, Hao Ni, Canghong Jin, Tongya Zheng, Longxiang Shi, Xiaoliang Wang
2023 J jnl
Adversarial supervised contrastive learning.
Mach. Learn.
Zhuorong Li, Daiwei Yu, Minghui Wu, Canghong Jin, Hongchuan Yu
2023 J jnl
Enhancing Cross-Lingual Entity Alignment in Knowledge Graphs through Structure Similarity Rearrangement.
Sensors
Guiyang Liu, Canghong Jin, Longxiang Shi, Cheng Yang, Jiangbing Shuai, Jing Ying
2021 — conf
CASE: Predict User Behaviors via Collaborative Assistant Sequence Embedding Model.
CollaborateCom (2)
Fei He, Canghong Jin, Minghui Wu
2021 J jnl
How do you visit: Identifying addicts from large-scale transit records via scenario deep embedding.
GeoInformatica
Canghong Jin, Dongkai Chen, Zhiwei Lin, Zemin Liu, Minghui Wu
2021 C conf
Hybrid Estimation for Open-Ended Questions with Early-Age Students' Block-Based Programming Answers.
ACML
Hao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang, Minghui Wu
2020 — conf
A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features.
ICONIP (3)
Tianyi Chen, Canghong Jin, Tengran Dong, Dongkai Chen
2020 J jnl
A Knowledge-Fusion Ranking System with an Attention Network for Making Assignment Recommendations.
Comput. Intell. Neurosci.
Canghong Jin, Yuli Zhou, Shengyu Ying, Chi Zhang, Weisong Wang, Minghui Wu
2020 J jnl
Context-Aware Traffic Prediction Framework Based on Series Decomposition.
IEEE Access
Tao Ruan, Dexing Wu, Tianyi Chen, Canghong Jin, Lei Xu, Shengli Zhou, Zhen Jiang
2020 J jnl
S2N2: An Interpretive Semantic Structure Attention Neural Network for Trajectory Classification.
IEEE Access
Canghong Jin, Ting Tao, Xianzhe Luo, Zemin Liu, Minghui Wu
2019 J jnl
Augmented Intention Model for Next-Location Prediction from Graphical Trajectory Context.
Wirel. Commun. Mob. Comput.
Canghong Jin, Zhiwei Lin, Minghui Wu
2019 J jnl
Detecting Suspects by Large-Scale Trajectory Patterns in the City.
Mob. Inf. Syst.
Canghong Jin, Dongkai Chen, Fanwei Zhu, Minghui Wu
2019 — conf
Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network.
PAKDD (1)
Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, Minghui Wu
2019 — conf
Open-Domain Document-Based Automatic QA Models Based on CNN and Attention Mechanism.
ICBK
Guangjie Zhang, Xumin Fan, Canghong Jin, Minghui Wu
2018 B conf
Research on Urban Street Order Based on Data Mining Technology.
Big Data (CCF)
Guanlin Chen, Peipei Tang, Canghong Jin, Zhuoyue Zhu
2015 J jnl
FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data.
Mob. Inf. Syst.
Canghong Jin, Ze-min Li, Minghui Wu, Jing Ying
2014 J jnl
Pharmaceutical drugs chatter on Online Social Networks.
J. Biomed. Informatics
Matthew T. Wiley, Canghong Jin, Vagelis Hristidis, Kevin M. Esterling
2012 — conf
Finding Facet Content on Web by Position Inverted Index.
HPCC-ICESS
Canghong Jin, Honglun Hou, Minghui Wu, Jing Ying
2011 J jnl
QoS-driven Global Optimization Approach for Large-scale Web Services Composition.
J. Comput.
Minghui Wu, Xianghui Xiong, Jing Ying, Canghong Jin, Chunyan Yu
2009 J jnl
A Structure-based Approach for Dynamic Services Composition.
J. Softw.
Canghong Jin, Minghui Wu, Jing Ying
2008 C conf
A method for model-driven development of adaptive web applications.
CSCWD
Tao Jiang, Jing Ying, Minghui Wu, Canghong Jin
2008 C conf
Combine automatic and manual process on web service selection and composition to support QoS.
CSCWD
Canghong Jin, Minghui Wu, Tao Jiang, Jing Ying
2008 J jnl
Crosscutting invariant and an efficient checking algorithm using program slicing.
ACM SIGPLAN Notices
Jia Lv, Ying Jing, Minghui Wu, Canghong Jin
2008 C conf
QoS and situation aware ontology framework for dynamic web servicescomposition.
CSCWD
Minghui Wu, Canghong Jin, Chunyan Yu, Hui Yan, Jing Ying