Canghong Jin - RankMe

48 papers A* 6A 1B 4C 4Journal 26Unranked 7

Year	Rank	Type	Title / 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