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ORCIDJun Hu 0016
Person information
- affiliation: National University of Singapore, School of Computing, Singapore
- affiliation: Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- affiliation (PhD 2020): Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China
Other persons with the same name
- Jun Hu — disambiguation page
- Jun Hu 0001
![[0000-0003-2714-6264]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2714-6264")
— Eindhoven University of Technology, Department of Industrial Design, The Netherlands - Jun Hu 0002 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China (and 1 more)
- Jun Hu 0003 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Jun Hu 0004 — Harbin University of Science and Technology, Department of Mathematics, China (and 3 more)
- Jun Hu 0005 — Central South University, School of Geosciences, Department of Surveying and Remote Sensing, Changsha, China (and 2 more)
- Jun Hu 0006 — Southeast University, State Key Laboratory of Millimeter Waves, Nanjing, China
- Jun Hu 0007 — NVIDIA, Santa Clara, CA, USA (and 1 more)
- Jun Hu 0008 — Université de technologie de Belfort-Montbéliard, France
- Jun Hu 0009 — Hunan University, College of Computer Science and Electronic Engineering, China
- Jun Hu 0010 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- Jun Hu 0011 — University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA (and 1 more)
- Jun Hu 0012 — Tsinghua University, State Key Laboratory of Power Systems, Department of Electrical EngineeringBeijing, China
- Jun Hu 0013 — Peking University, School of Mathematical Sciences, Beijing, China
- Jun Hu 0014 — Parametrix.AI, Shenzhen, China
- Jun Hu 0015 — Chinese Academy of Sciences, Institute of Software, Laboratory for Internet Software Technologies, Beijing, China (and 1 more)
- Jun Hu 0017 — Clemson University, Department of Electrical and Computer Engineering, Center for Advanced Manufacturing, Clemson, SC, USA
- Jun Hu 0018 — Qualcomm, Inc., San Diego, CA, USA (and 1 more)
- Jun Hu 0019 — University of Electronic Science and Technology of China, School of Electronic Science and Engineering, Chengdu, China (and 1 more)
- Jun Hu 0020 — Neusoft Reach Automotive Technology Company Ltd., ADS Business Line, Shenyang, China (and 1 more)
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2020 – today
- 2025
[c14]Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei:
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. AAAI 2025: 11790-11798- [c13]Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Jun Hu, Jia Chen:
NodeImport: Imbalanced Node Classification with Node Importance Assessment. KDD (1) 2025: 94-105 - [i8]Yuan Li, Jun Hu, Jiaxin Jiang, Zemin Liu, Bryan Hooi, Bingsheng He:
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs. CoRR abs/2503.19314 (2025) - 2024
- [j17]Nuojia Xu, Jun Hu, Quan Fang, Dizhan Xue, Yongxi Li, Shengsheng Qian:
Tri-relational multi-faceted graph neural networks for automatic question tagging. Neurocomputing 576: 127250 (2024) - [j16]Shengsheng Qian, Dizhan Xue, Jun Hu, Huaiwen Zhang, Changsheng Xu:
Nonparametric Clustering-Guided Cross-View Contrastive Learning for Partially View-Aligned Representation Learning. IEEE Trans. Image Process. 33: 6158-6172 (2024) - [j15]Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu:
Second-order Confidence Network for Early Classification of Time Series. ACM Trans. Intell. Syst. Technol. 15(1): 10:1-10:28 (2024) - [j14]Jun Hu, Bryan Hooi, Shengsheng Qian, Quan Fang, Changsheng Xu:
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 36(7): 3281-3296 (2024) - [j13]Jun Hu, Bryan Hooi, Bingsheng He:
Efficient Heterogeneous Graph Learning via Random Projection. IEEE Trans. Knowl. Data Eng. 36(12): 8093-8107 (2024) - [j12]Jinguang Wang, Shengsheng Qian, Jun Hu, Richang Hong:
Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network. IEEE Trans. Multim. 26: 234-244 (2024) - [j11]Jinguang Wang, Shengsheng Qian, Jun Hu, Richang Hong:
Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection. IEEE Trans. Multim. 26: 5170-5180 (2024) - [j10]Xingrui Zhuo, Shengsheng Qian, Jun Hu, Fuxin Dai, Kangyi Lin, Gongqing Wu:
Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation. ACM Trans. Inf. Syst. 42(6): 144:1-144:28 (2024) - [c12]Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen:
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. ICLR 2024 - [c11]Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu:
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. IJCAI 2024: 2045-2053 - [i7]Yizhang Zou, Xuegang Hu, Pei-Pei Li, Jun Hu, You Wu:
Online Multi-Label Classification under Noisy and Changing Label Distribution. CoRR abs/2410.02394 (2024) - [i6]Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei:
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. CoRR abs/2412.13994 (2024) - 2023
- [j9]Quan Fang, Xiaowei Zhang, Jun Hu, Xian Wu, Changsheng Xu:
Contrastive Multi-Modal Knowledge Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(9): 8983-8996 (2023) - [j8]Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Wenkui Ding, Changsheng Xu:
Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation. IEEE Trans. Multim. 25: 2761-2773 (2023) - [j7]Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu:
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network. ACM Trans. Inf. Syst. 41(3): 64:1-64:27 (2023) - [i5]Jun Hu, Bryan Hooi, Bingsheng He:
Efficient Heterogeneous Graph Learning via Random Projection. CoRR abs/2310.14481 (2023) - 2022
- [j6]Xiaowei Zhang, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu:
TCKGE: Transformers with contrastive learning for knowledge graph embedding. Int. J. Multim. Inf. Retr. 11(4): 589-597 (2022) - [c10]Junwei Lv, Ying He, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu:
Dual Confidence Learning Network for Open-World Time Series Classification. DASFAA (2) 2022: 574-589 - [c9]Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu:
Adaptive Anti-Bottleneck Multi-Modal Graph Learning Network for Personalized Micro-video Recommendation. ACM Multimedia 2022: 581-590 - [i4]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. CoRR abs/2204.02338 (2022) - 2021
- [j5]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching. IEEE Trans. Multim. 23: 2321-2334 (2021) - [j4]Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu:
Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection. ACM Trans. Multim. Comput. Commun. Appl. 17(3): 98:1-98:23 (2021) - [c8]Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu:
Efficient Graph Deep Learning in TensorFlow with tf_geometric. ACM Multimedia 2021: 3775-3778 - [c7]Shengsheng Qian, Jinguang Wang, Jun Hu, Quan Fang, Changsheng Xu:
Hierarchical Multi-modal Contextual Attention Network for Fake News Detection. SIGIR 2021: 153-162 - [i3]Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu:
Efficient Graph Deep Learning in TensorFlow with tf_geometric. CoRR abs/2101.11552 (2021) - [i2]Desheng Cai, Jun Hu, Shengsheng Qian, Quan Fang, Quan Zhao, Changsheng Xu:
GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation. CoRR abs/2111.10342 (2021) - [i1]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning. CoRR abs/2112.01110 (2021) - 2020
- [j3]Jinguang Wang, Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Multimodal graph convolutional networks for high quality content recognition. Neurocomputing 412: 42-51 (2020) - [c6]Yanfei Han, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu:
GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion. CIKM 2020: 2053-2056 - [c5]Youze Wang, Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu:
Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks. ICMR 2020: 540-547 - [c4]Jun Hu, Quan Fang, Shengsheng Qian, Changsheng Xu:
Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching. ACM Multimedia 2020: 3505-3513
2010 – 2019
- 2019
- [j2]Jun Hu, Shengsheng Qian, Quan Fang, Xueliang Liu, Changsheng Xu:
A2CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 45:1-45:17 (2019) - [c3]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching. ACM Multimedia 2019: 1157-1165 - 2018
- [c2]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Attentive Interactive Convolutional Matching for Community Question Answering in Social Multimedia. ACM Multimedia 2018: 456-464 - 2013
- [j1]Richang Hong, Linxie Tang, Jun Hu, Guangda Li, Jianguo Jiang:
Advertising object in web videos. Neurocomputing 119: 118-124 (2013) - 2011
- [c1]Jun Hu, Guangda Li, Zhen Lu, Jun Xiao, Richang Hong:
Videoader: a video advertising system based on intelligent analysis of visual content. ICIMCS 2011: 30-33
Coauthor Index
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