1.Name

Jin Huang

2.Biography

Jin Huang， Professor and PhD Supervisor. He obtained his joint PhD degree in Computer Software and Theory from Sun Yat-sen University and Simon Fraser University in Canada， and completed his postdoctoral studies. His primary research focuses on Graph Mining and Computer Vision. In recent years， he has published over 50 papers in prestigious domestic and international journals and conferences， translated and published one book， and applied for more than 10 patents. He has presided over more than 10 research projects， including key national projects， industry-academia-research projects funded by Guangdong Provincial Government and Ministries， major special projects of Guangdong Province， and Natural Science Foundation of Guangdong Province.

3.Research Interests

Graph Mining， Computer Vision.

4.Email

huangjin@m.scnu.edu.cn

5.Academic

[1]. Xie Ruzhong， Ruan Ke， Huang Bosong， Yu Weihao， Xiao Jing， Huang Jin*. TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation.  Applied Intelligence， 2024:1-13 【IF:3.6， 中科院 2 区， CCF C， Springer US】
[2]. Huang， Bosong， Yu， Weihao， Xie， Ruzhong， Luo， Junming， Xiao， Jing， Huang， Jin*. Lorentz equivariant model for knowledge-enhanced hyperbolic collaborative filtering.  Knowledge-Based Systems， 2024， 291【IF:8.8，中科院1区，Elsevier BV】
[3]. Yichun Li， Jin Huang*， Weihao Yu， Tinghua Zhang. Neighborhood-Enhanced Contrast for Pre-Training Graph Neural Networks.  Neural Computing and Applications ， 2024，36:4195–4205 【IF:6，中科院3区，Springer London】
[4]. Weijun Wu， Zhixiong Mo， Weihao Yu， Yizhou Cheng， Tinghua Zhang， Jin Huang*. Generalizable Geometry-aware Human Radiance Modeling from Multi-view Images.  The 7th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2024)， Urumqi， Xinjiang， China， 18 October - 20 October
[5]. Yizhou， Cheng， Zixuan， Huang， Weijun， Wu， Weihao， Yu， Jin， Huang*. RDNeRF: Radiance Distribution Guided NeRF for Floaters Removing.  APWeb-WAIM /AIEDM 2024， CCIS. Springer
[6]. Yingchao Long， Weihao Yu， Jin Huang*， Tinghua Zhang， Nanhui Lai. MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing.  2024 International Joint Conference on Neural Networks (IJCNN)， Pacifico Yokohama， Yokohama， Japan， 30 June - 5 July 2024
[7]. QiangQiang Xiang， Jing Xiao， Jin Huang*， Weihao Yu， Tinghua Zhang， Zhixiong Mo. NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields.  2024 International Joint Conference on Neural Networks (IJCNN) ， Pacifico Yokohama， Yokohama， Japan， 30 June - 5 July 2024
[8]. Yile Chen， Jian Chen， Zeyi Wen， Jin Huang. Enhancing the Performance of Bandit-based Hyperparameter Optimization.  2024 IEEE 40th International Conference on Data Engineering (ICDE'24)， Utrecht， Netherlands， 2024， pp. 967-980【CCF A】
[9]. Yu Weihao*， Ruan Ke， Tang Hong， Huang Jin. Routing hypergraph convolutional recurrent network for network traffic prediction.  Applied Intelligence， 2023，53:16126–16137【IF:5.3，中科院2区，Springer】
[10]. Zhibin Hu， Xuebin Zhou， Zhiwei He， Zehang Yang， Jian Chen， Jin Huang*. Discrete limited attentional collaborative filtering for fast social recommendation.  Engineering Applications of Artificial Intelligence【IF:8，中科院2区，Elsevier】， 2023，123:106437
[11]. Xuebin Zhou， Zhibin Hu， Jin Huang*， Jian Chen. Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation.  JAIR - Journal of Artificial Intelligence Research， 2023，76:1019-1031【IF:5，中科院2区，Morgan Kaufmann Publishers】
[12]. Bosong Huang， Ke Ruan， Weihao Yu， Jing Xiao， Ruzhong Xie， Jin Huang*. ODformer: Spatial-temporal transformers for long sequence Origin-Destination matrix forecasting against cross application scenario.  Expert Systems with Applications， 2023，222: 119835【IF:8.5， 中科院1区，Elsevier】
[13]. Jin Huang， Tian Lu， Xuebin Zhou， Bo Cheng， Zhibin Hu， Weihao Yu， Jing Xiao*. HyperDNE: Enhanced hypergraph neural network for dynamic network embedding.  Neurocomputing， 2023，527: 155-166【IF:6，中科院2区，Elsevier】
[14]. Xing， Yuling， Zhu， Jia， Li， Yu， Huang， Jin， Song， Jinlong. An improved spatial temporal graph convolutional network for robust skeleton-based action recognition.  Applied Intelligence， 2023，53:4592-4608【IF:5.3，中科院2区，CCF C，Springer US】
[15]. Xie Ruzhong， Yu Weihao， Huang Jin*. Temporal Knowledge Graph Embedding Learning through Multi-Aspect.  2023 5th International Conference on Machine Learning， Big Data and Business Intelligence (MLBDBI). IEEE， 2023.【EI 检索】
[16]. Mo， Zhixiong， Wu， Weijun， Yu， Weihao， Zhang， Tinghua， Ke， Zhilin， Huang， Jin*. Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling.  International Conference on Artificial Neural Networks and Machine Learning – ICANN 2023. LNCS， vol 14256， Pages 389-401. Springer【EI:20234314952302】
[17]. Huang， Bosong， Yu， Weihao， Xie， Ruzhong， Xiao， Jing， Huang， Jin*. Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems.  ECML/PKDD 2023， LNCS， vol 14171. Springer【CCF B】
[18]. Lin， Zhihao， Wu， Zhijie， Zhu， Jia， Huang， Jin. A Blockchain-Based Decentralized Federated Learning Framework with Dual-Committees Consensus.  In: Proceedings of the 2022 5th International Conference on Algorithms， Computing and Artificial Intelligence（ACAI`22）， ACM， Article 43， 1–6.【EI:20231213766738】
[19]. Yu Li， Jianhuai Zhu， Yuling Xing， Zhangyan Dai， Jin Huang， Saeed-Ul Hassan. Monitoring the Growth Status of corn crop from UAV Images Based on Dense Convolutional Neural Network.  International Journal of Pattern Recognition and Artificial Intelligence【IF:1.5，中科院4区，World Scientific】， 2022，36(12):2257007
[20]. Chen， Lei， Huang， Jin*， Li， Jingjing， Cao， Yang， Xiao， Jing. Self-supervised graph representation learning using multi-scale subgraph views contrast.  Neural Computing and Applications【IF:6，中科院3区，Springer London】， 2022，34:12559-12569
[21]. Jin Huang， Tian Lu， Jia Zhu*， Weihao Yu， Tinghua Zhang. Multi-relational knowledge graph completion method with local information fusion.  Applied Intelligence【IF:5.3，中科院2区，CCF C，Springer US】， 2022，52:7985–7994
[22]. HUANG Jin， XU Shi， CAI Ercong， WU Zhijie， GUO Meimei， ZHU Jia*. An Emotion-Cause Pair Extraction Model Based on Multichannel Compact Bilinear Pooling.  Acta Scientiarum Naturalium Universitatis Pekinensis【EI:20220711650005】， 2022， 58(1): 21-28.
[23]. Wentai Zhu， Ke Ruan， Jin Huang*， Jing Xiao， Weihao Yu. Dynamic Graph Representation Based on Temporal and Contextual Contrasting.  In: Proceedings of the 2022 5th International Conference on Algorithms， Computing and Artificial Intelligence (ACAI '22). ACM， Article 111， 1–8.【EI:20231213763242】
[24]. Yawen Chen， Yile Chen， Jian Chen， Zeyi Wen， Jin Huang. Efficient Second-Order Optimization for Neural Networks with Kernel Machines.  In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM '22). ACM， 242–251.【EI:20224413038374】
[25]. Yangjie Qin， Jia Zhu， Jin Huang*. Privacy-preserving federated learning framework in knowledge concept recommendation.  In: Sun， Y.， et al. Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2022. CCIS， vol 1681. Springer， Singapore.【EI:20232314201221】
[26]. Huang Jin， Zhang TingHua， Zhu Jia， Yu Weihao， Tang Yong， He Yang. A deep embedding model for knowledge graph completion based on attention mechanism[J]. Neural Computing and Applications， 2021: 1-10.【影响因子5.606，JCR一区，EI:20211310128456. WOS:000629516200006. DOI:10.1007/s00521-021-05742-z】
[27]. Hu Zhibin， Wang Jiachun， Yan Yan， Zhao Peilin， Chen Jian， Huang Jin. Neural graph personalized ranking for Top-N Recommendation[J]. Knowledge-Based Systems， 2021， 213: 106426. 【影响因子8.038，JCR一区，CCF C类期刊， DOI: 10.1016/j.knosys.2020.106426】
[28]. Liang Wanying， Wu Zhijie， Yan Zhiwen， Tang Yong， Huang Jin， Yu Weihao， Zhu Jia. Syntax-based Code Generation Model with Selective Local Attention and Pre-order Information LSTM Decoder[J]. Beijing Da Xue Xue Bao， 2021， 57(1): 45-52.【影响因子 1.734，EI: 20210909981010. DOI:10.13209/j.0479-8023.2020.086】
[29]. Ercong Cai， Jin Huang*， Bosong Huang， Shi Xu， Jia Zhu. GRAE:Graph Recurrent Autoencoder for Multi-view Graph Clustering.  In: Proceedings of the 2021 4th International Conference on Algorithms， Computing and Artificial Intelligence (ACAI '21). ACM， Article 72， 1–9.【EI:20221111772154】
[30]. Shanxuan Chen， Jia Zhu， Zhihao Lin， Jin Huang， Yong Tang. How to Make Smart Contract Smarter.  Computer Supported Cooperative Work and Social Computing ， Springer Singapore， 2021: 705--713【EI:20213010687124】
[31]. Huang Jin， Zhang Tinghua， Yu Weihao， Cai Ercong， Zhu Jia. Community Detection Based on Modularized Deep Nonnegative Matrix Factorization[J]. International Journal of Pattern Recognition and Artificial Intelligence， 2021， 35(02): 2159006. 【影响因子1.373，JCR四区，EI:20204409405517. WOS:000627311000007. DOI:10.1142/S0218001421590060】
[32]. 于晗宇， 黄晋*， 朱佳. Fea2Lab:基于多标记学习的特征到标签生成模型[J]. 华南师范大学学报（自然科学版）， 2020， 52(3): 111-119. 【影响因子 0.806，DOI:10.6054/j.jscnun.2020052】
[33]. Guo Yong， Luo Yongsheng， He Zhenhao， Huang Jin， Chen Jian. Hierarchical neural architecture search for single image super-resolution[J]. IEEE Signal Processing Letters， 2020， 27: 1255-1259.【影响因子3.268，JCR三区， DOI：10.1109/LSP.2020.3003517】
[34]. Huang Qionghao， Huang Jin， Fujita Hamido， Huang Changqin. Adaptive resource prefetching with spatial–temporal and topic information for educational cloud storage systems[J]. Knowledge-Based Systems， 2019， 181: 104791. 【影响因子8.038，JCR一区，EI:20192307005626. WOS:000484873600012. DOI:10.1016/j.knosys.2019.05.034】
[35]. XuMing Wang， Jin Huang. Facial Expression recognition with deep learning..  In Proceedings of the 10th International Conference on Internet Multimedia Computing and Service (ICIMCS '18). ACM， Article 10， 1–4.
[36]. 陈丽; 黄晋; 王锐， Hadoop大数据平台安全问题和解决方案的综述， 计算机系统应用， 2018， (01): 1-9. 【影响因子 1.353，DOI：10.15888/j.cnki.csa.006169】
[37]. Chen Yawen，Wen Zeyi，Chen Jian，Huang Jin*. Selecting Proper Multi-Class SVM Training Methods[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2018， 32(1). 【CCF A类会议，WOS:000485488908047】
[38]. Huang Jin，Li Bin，Zhu Jia，Chen Jian. Age classification with deep learning face representation[J]. Multimedia Tools and Applications， 2017， 76(19): 20231-20247.【影响因子2.757，JCR 二区，DOI：https://doi.org/10.1007/s11042-017-4646-5】
[39]. Zhu Jia， Wu Xing-Cheng， Lin Xue-Qin， Xiao Dan-Yang， Xiao Jing， He Chao-Bo， Huang Jin*. A self-learning graph clustering approach for protein complexes detection. Control Theory and Applications. 2017，34(6): 776-782. 【影响因子1.687，EI:20173904217550. INSPEC:20173904217550. DOI: 10.7641/CTA.2017.60581】
[40]. Lin Xueqin，Zhu Jia，Tang Yong，Fung Gabriel，Huang Jin，Huang Changqin，Tang Feiyi. A study on the landscape of cancer disease researches using bibliometric methods and social network analysis[C]//2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE， 2017: 239-244. 【CCF C类会议，EI:20174704419223. WOS:000426945600041. DOI:10.1109/CSCWD.2017.8066701】
[41]. Xu Chuanhua，Zhu Jia，Huang Jin*，Li Zhixu，Fung Gabriel Pui Cheong. A health management tool based smart phone[J]. Multimedia Tools and Applications， 2017， 76(16): 17541-17558.【影响因子 2.757，JCR 二区，EI: 20165103155795.  WOS: 000382635400019.  DOI: 10.1007/s11042-016-4220-6】
[42]. Chen Pengyu，Chen Jian，Huang Jin*. Multi-user location-dependent skyline query based on dominance graph[J]. International Journal of Computational Science and Engineering， 2016， 13(3): 209-218.【EI：20163802815045，DOI：10.1504/IJCSE.2016.078928】
[43]. 陈丽; 黄晋*， 基于空间索引的物流中心选址方法， 华南师范大学学报(自然科学版)， 2016， (04): 113-118. 【影响因子 0.806，DOI：10.6054/j.jscnun.2015.12.012】
[44]. Zhu Jia，Xu Chuanhua，Li Zhixu，Fung Gabrie，Lin Xueqin，Huang Jin，Huang Changqin. An examination of on-line machine learning approaches for pseudo-random generated data[J]. Cluster Computing， 2016， 19(3): 1309-1321. 【影响因子 1.809，JCR四区，EI: 20162702549768. WOS: 000382635400019.  DOI: 10.1007/s10586-016-0586-5】
[45]. Tang Hong， Mu Shuai， Huang Jin， Zhu Jia， Chen Jian， Ding Rui. Zip: An algorithm based on loser tree for common contacts searching in large graphs[J]. Journal of Computer Science and Technology， 2015， 30(4): 799-809.【影响因子1.571，JCR三区 WOS:000357679400010  DOI10.1007/s11390-015-1561-y】
[46]. Huang Jin， Qi Jianzhong， Xu Yabo， Chen Jian. A privacy-enhancing model for location-based personalized recommendations[J]. Distributed and Parallel Databases， 2015， 33(2): 253-276. 【SCI源刊， 影响因子1.5，JCR四区， IDS Number: CG7FR WOS:000353468500006 DOI10.1007/s10619-014-7148-8】
[47]. 黄世平，黄晋，陈健，汤庸. 自动建立信任的防攻击推荐算法研究[J].电子学报，2013，41(02):382-387.【EI：20131416174642 DOI： 10.3969/j.issn.0372-2112.2013.02.027】
[48]. Huang Jin， Jiang Bin， Pei Jian， Chen Jian，Tang Yong. Skyline distance: a measure of multidimensional competence[J]. Knowledge and information systems， 2013， 34(2): 373-396. 【SCI源刊， 影响因子2.822， JCR二区 DOI:10.1007/s10115-012-0486-9】
[49]. Chen Jian， Huang Jin *， Jiang Bin， Pei Jian ， Yin Jian. Recommendations for two-way selections using skyline view queries[J]. Knowledge and information systems， 2013， 34(2): 397-424.  DOI:10.1007/s10115-012-0489-6 【SCI源刊， 影响因子2..822， JCR二区 DOI10.1007/s10115-012-0489-6】
[50]. Chen Jian， Chen Guanliang， Zhang Haolan， Huang Jin， Zhao Gansen. Social recommendation based on multi-relational analysis[C]//2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology. IEEE， 2012， 2: 471-477. 【EI: 20132316401903  DOI10.1109/WI-IAT.2012.222】
[51]. Huang Jin， Chen Jian， Huang Da， Tang Yong. Towards Efficient K-Dominant Skyline Computation in CSCW[J]. Chinese Journal of Electronics， 2012， 21(3): 445-448.【SCI源刊， 影响因子：1.014， JCR 四区，】【EI:20123115301813 WOS:000306618700011】
[52]. Huang Jin， Chen Jian， Du Qing， Yin Jian. A load balancing skyline query algorithm in high bandwidth distributed systems[C]//2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery. IEEE， 2010， 5: 2076-2080.【EI: 20104813422829. INSPEC:11526565. DOI: 10.1109/FSKD.2010.5569700】
[53]. Huang Jin，Zhao Feng，Pei Jian，Yin Jian，Chen Jian. Towards Progressive and Load Balancing Distributed Computation: A Case Study on Skyline Analysis. Journal of Computer Science and Technology. 2010，25(3): 431-443. 【影响因子 1.571，JCR三区，EI: 20103413184419. WOS:000277548500005. DOI:10.1007/s11390-010-9335-z】
[54]. 汤庸，李建国，陈国华，黄晋. 万维网信息服务的协同软件.中国计算机学会通讯.2010，6(12):24-27.
[55]. Chen Jian， Huang Jin*， HuaQing Min. Easy recommendation based on probability model[C]//2008 Fourth International Conference on Semantics， Knowledge and Grid. IEEE， 2008: 441-444.【DOI: 10.1109/SKG.2008.44 INSPEC：10437818】
[56]. Chen Jian，  Yin Jian ， Huang Jin. Mining correlated rules for associative classification[C]//International Conference on Advanced Data Mining and Applications. Springer， Berlin， Heidelberg， 2005: 130-140.【影响因子：0.301， JCR四区　WOS:000230895000016　】
[57]. Chen Jian，  Yin Jian ， Huang Jin . Associative classification based on correlation analysis[C]//International Conference on Fuzzy Systems and Knowledge Discovery. Springer， Berlin， Heidelberg， 2005: 59-68. 【影响因子：0.302 JCR四区 WOS:000232217900008  DOI：https://doi.org/10.1007/11539506_8】
[58]. Chen Jian， Ou Liangyi， Yin Jian ， Huang Jin. Efficient mining of cross-transaction web usage patterns in large database[C]//International Conference on Networking and Mobile Computing. Springer， Berlin， Heidelberg， 2005: 519-528. 【影响因子：0.402 JCR四区WOS:000231116600054 】
[59]. 陈健，黄晋，印鉴. 关联分类算法中的相关性分析[C]. //2005第一届中国分类技术与应用研讨会(CSCA). 2005:283-287.
[60]. Chen Jian， Yin Jian ， Huang Jin. Automatic content-based recommendation in e-commerce[C]//2005 IEEE International Conference on e-Technology， e-Commerce and e-Service. IEEE， 2005: 748-753.【DOI: 10.1109/EEE.2005.37 INSPECT：8530433】