Jin Huang

54 papers A* 1B 2C 2Journal 32Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning.
AAAI
Yile Chen, Zeyi Wen, Jian Chen, Jin Huang
2026 J jnl
A semantic driven adaptive framework for few-shot knowledge graph completion.
Neurocomputing
Chengjia Ouyang, Tinghua Zhang, Weihao Yu, Jin Huang
2026 J jnl
Leveraging pre-trained models for kernel machines.
Pattern Recognit.
Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang
2025 — conf
A Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting.
ICANN (3)
Nanhui Lai, Ke Jin, Yingchao Long, Weihao Yu, Jin Huang
2025 J jnl
A diffusion multi-interest framework for cross-domain recommendation.
Expert Syst. Appl.
Ke Jin, Weihao Yu, Yingchao Long, Nanhui Lai, Jin Huang
2025 J jnl
Can Representation Gaps Be the Key to Enhancing Robustness in Graph-Text Alignment?
CoRR
Heng Zhang, Tianyi Zhang, Yuling Shi, Xiaodong Gu, Yaomin Shen, Zijian Zhang, Yilei Yuan, Hao Zhang, Jin Huang
2025 J jnl
H4G: Unlocking Faithful Inference for Zero-Shot Graph Learning in Hyperbolic Space.
CoRR
Heng Zhang, Tianyi Zhang, Zijun Liu, Yuling Shi, Yaomin Shen, Haochen You, Haichuan Hu, Lubin Gan, Jin Huang
2025 J jnl
Towards Recommendation on Good Quality Data Science Solutions.
ACM Trans. Knowl. Discov. Data
Jian Chen, Yile Chen, Zeyi Wen, Yawen Chen, Jin Huang
2024 — conf
Generalizable Geometry-Aware Human Radiance Modeling from Multi-view Images.
PRCV (6)
Weijun Wu, Zhixiong Mo, Weihao Yu, Yizhou Cheng, Tinghua Zhang, Jin Huang
2024 J jnl
Lorentz equivariant model for knowledge-enhanced hyperbolic collaborative filtering.
Knowl. Based Syst.
Bosong Huang, Weihao Yu, Ruzhong Xie, Junming Luo, Jing Xiao, Jin Huang
2024 B conf
MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing.
IJCNN
Yingchao Long, Weihao Yu, Jin Huang, Tinghua Zhang, Nanhui Lai
2024 B conf
NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields.
IJCNN
Qiangqiang Xiang, Jing Xiao, Weihao Yu, Tinghua Zhang, Jin Huang, Zhixiong Mo
2024 J jnl
Neighborhood-enhanced contrast for pre-training graph neural networks.
Neural Comput. Appl.
Yichun Li, Jin Huang, Weihao Yu, Tinghua Zhang
2024 — conf
Sequential Recommendation via Temporal Data Augmentation and Fourier Convolution.
ACAI
Junming Luo, Tinghua Zhang, Ke Jin, Weihao Yu, Jin Huang
2024 J jnl
TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation.
Appl. Intell.
Ruzhong Xie, Ke Ruan, Bosong Huang, Weihao Yu, Jing Xiao, Jin Huang
2023 J jnl
An improved spatial temporal graph convolutional network for robust skeleton-based action recognition.
Appl. Intell.
Yuling Xing, Jia Zhu, Yu Li, Jin Huang, Jinlong Song
2023 J jnl
Discrete limited attentional collaborative filtering for fast social recommendation.
Eng. Appl. Artif. Intell.
Zhibin Hu, Xuebin Zhou, Zhiwei He, Zehang Yang, Jian Chen, Jin Huang
2023 — conf
Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling.
ICANN (3)
Zhixiong Mo, Weijun Wu, Weihao Yu, Tinghua Zhang, Zhilin Ke, Jin Huang
2023 J jnl
HyperDNE: Enhanced hypergraph neural network for dynamic network embedding.
Neurocomputing
Jin Huang, Tian Lu, Xuebin Zhou, Bo Cheng, Zhibin Hu, Weihao Yu, Jing Xiao
2023 J jnl
Lorentz Equivariant Model for Knowledge-Enhanced Collaborative Filtering.
CoRR
Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang
2023 J jnl
ODformer: Spatial-temporal transformers for long sequence Origin-Destination matrix forecasting against cross application scenario.
Expert Syst. Appl.
Bosong Huang, Ke Ruan, Weihao Yu, Jing Xiao, Ruzhong Xie, Jin Huang
2023 J jnl
Routing hypergraph convolutional recurrent network for network traffic prediction.
Appl. Intell.
Weihao Yu, Ke Ruan, Hong Tang, Jin Huang
2023 — conf
Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems.
ECML/PKDD (3)
Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang
2023 J jnl
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems.
CoRR
Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang
2022 — conf
A Blockchain-based Decentralized Federated Learning Framework with Dual-Committees Consensus.
ACAI
Zhihao Lin, Zhijie Wu, Jia Zhu, Jin Huang
2022 — conf
Dynamic Graph Representation Based on Temporal and Contextual Contrasting.
ACAI
Wentai Zhu, Ke Ruan, Jin Huang, Jing Xiao, Weihao Yu
2022 J jnl
Monitoring the Growth Status of Corn Crop from UAV Images Based on Dense Convolutional Neural Network.
Int. J. Pattern Recognit. Artif. Intell.
Yu Li, Jia Zhu, Yuling Xing, Zhangyan Dai, Jin Huang, Saeed-Ul Hassan
2022 J jnl
Multi-relational knowledge graph completion method with local information fusion.
Appl. Intell.
Jin Huang, Tian Lu, Jia Zhu, Weihao Yu, Tinghua Zhang
2022 J jnl
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario.
CoRR
Jin Huang, Bosong Huang, Weihao Yu, Jing Xiao, Ruzhong Xie, Ke Ruan
2022 — conf
Privacy-Preserving Federated Learning Framework in Knowledge Concept Recommendation.
ChineseCSCW (1)
Yangjie Qin, Jia Zhu, Jin Huang
2022 J jnl
Self-supervised graph representation learning using multi-scale subgraph views contrast.
Neural Comput. Appl.
Lei Chen, Jin Huang, Jingjing Li, Yang Cao, Jing Xiao
2021 J jnl
A deep embedding model for knowledge graph completion based on attention mechanism.
Neural Comput. Appl.
Jin Huang, Tinghua Zhang, Jia Zhu, Weihao Yu, Yong Tang, Yang He
2021 J jnl
Community Detection Based on Modularized Deep Nonnegative Matrix Factorization.
Int. J. Pattern Recognit. Artif. Intell.
Jin Huang, Tinghua Zhang, Weihao Yu, Jia Zhu, Ercong Cai
2021 — conf
GRAE: Graph Recurrent Autoencoder for Multi-view Graph Clustering.
ACAI
Ercong Cai, Jin Huang, Bosong Huang, Shi Xu, Jia Zhu
2020 — conf
How to Make Smart Contract Smarter.
ChineseCSCW
Shanxuan Chen, Jia Zhu, Zhihao Lin, Jin Huang, Yong Tang
2019 J jnl
Adaptive resource prefetching with spatial-temporal and topic information for educational cloud storage systems.
Knowl. Based Syst.
Qionghao Huang, Changqin Huang, Jin Huang, Hamido Fujita
2018 — conf
Facial expression recognition with deep learning.
ICIMCS
Xuming Wang, Jin Huang, Jia Zhu, Min Yang, Fen Yang
2017 J jnl
A health management tool based smart phone.
Multim. Tools Appl.
Chuanhua Xu, Jia Zhu, Jin Huang, Zhixu Li, Gabriel Pui Cheong Fung
2017 C conf
A study on the landscape of cancer disease researches using bibliometric methods and social network analysis.
CSCWD
Xueqin Lin, Jia Zhu, Yong Tang, Gabriel Pui Cheong Fung, Jin Huang, Changqin Huang, Feiyi Tang
2017 J jnl
Age classification with deep learning face representation.
Multim. Tools Appl.
Jin Huang, Bin Li, Jia Zhu, Jian Chen
2016 J jnl
An examination of on-line machine learning approaches for pseudo-random generated data.
Clust. Comput.
Jia Zhu, Chuanhua Xu, Zhixu Li, Gabriel Pui Cheong Fung, Xueqin Lin, Jin Huang, Changqin Huang
2016 J jnl
Multi-user location-dependent skyline query based on dominance graph.
Int. J. Comput. Sci. Eng.
Pengyu Chen, Jian Chen, Jin Huang
2015 J jnl
A privacy-enhancing model for location-based personalized recommendations.
Distributed Parallel Databases
Jin Huang, Jianzhong Qi, Yabo Xu, Jian Chen
2015 J jnl
Zip: An Algorithm Based on Loser Tree for Common Contacts Searching in Large Graphs.
J. Comput. Sci. Technol.
Hong Tang, Shuai Mu, Jin Huang, Jia Zhu, Jian Chen, Rui Ding
2013 J jnl
Recommendations for two-way selections using skyline view queries.
Knowl. Inf. Syst.
Jian Chen, Jin Huang, Bin Jiang, Jian Pei, Jian Yin
2013 J jnl
Skyline distance: a measure of multidimensional competence.
Knowl. Inf. Syst.
Jin Huang, Bin Jiang, Jian Pei, Jian Chen, Yong Tang
2012 — conf
Social Recommendation Based on Multi-relational Analysis.
IAT
Jian Chen, Guanliang Chen, Hao Lan Zhang, Jin Huang, Gansen Zhao
2010 — conf
A load balancing skyline query algorithm in high bandwidth distributed systems.
FSKD
Jin Huang, Jian Chen, Qing Du, Jian Yin
2010 J jnl
Towards Progressive and Load Balancing Distributed Computation: A Case Study on Skyline Analysis.
J. Comput. Sci. Technol.
Jin Huang, Feng Zhao, Jian Chen, Jian Pei, Jian Yin
2008 — conf
Easy Recommendation Based on Probability Model.
SKG
Jian Chen, Jin Huang, Huaqing Min
2005 — conf
Associative Classification Based on Correlation Analysis.
FSKD (1)
Jian Chen, Jian Yin, Jin Huang, Ming Feng
2005 — conf
Associative Classification in Text Categorization.
ICIC (1)
Jian Chen, Jian Yin, Jun Zhang, Jin Huang
2005 — conf
Efficient Mining of Cross-Transaction Web Usage Patterns in Large Database.
ICCNMC
Jian Chen, Liangyi Ou, Jian Yin, Jin Huang
2005 C conf
Mining Correlated Rules for Associative Classification.
ADMA
Jian Chen, Jian Yin, Jin Huang