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ORCIDJingjing Li 0001
Person information
- affiliation: University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
Other persons with the same name
- Jingjing Li (aka: JingJing Li, Jing-jing Li, Jing-Jing Li) — disambiguation page
- Jingjing Li 0002
![[0000-0001-9569-9173]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9569-9173")
(aka: Jing-Jing Li 0002) — South China Normal University, School of Computer Science, Guangzhou, China (and 1 more) - Jingjing Li 0003 — Guilin University of Electronic Technology, School of Information and Communications, Guilin, China
- Jingjing Li 0004 — California State University Los Angeles, Department of Geosciences and Environment, Los Angeles, CA, USA
- Jingjing Li 0005 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Jingjing Li 0006 — Patent Examination Cooperation (Henan) Center, Patent Office, Zhengzhou, China (and 1 more)
- Jingjing Li 0007 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Shatin, Hong Kong
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2020 – today
- 2022
[j39]Lichao Meng, Hongzu Su, Chunwei Lou, Jingjing Li:
Cross-domain Mutual Information Adversarial Maximization. Eng. Appl. Artif. Intell. 110: 104665 (2022)- [j38]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3169-3181 (2022) - [j37]Yalan Ye, Yukun He, Tongjie Pan, Jingjing Li, Heng Tao Shen:
Alleviating Domain Shift via Discriminative Learning for Generalized Zero-Shot Learning. IEEE Trans. Multim. 24: 1325-1337 (2022) - [j36]Xiang Guan, Yang Yang, Jingjing Li, Xing Xu, Heng Tao Shen:
Mind the Remainder: Taylor's Theorem View on Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1507-1519 (2022) - 2021
- [j35]Dan Zhang, Jingjing Li, Xingpeng Li, Zhekai Du, Lin Xiong, Mao Ye:
Local-Global Attentive Adaptation for Object Detection. Eng. Appl. Artif. Intell. 100: 104208 (2021) - [j34]Fuming You, Hongzu Su, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang:
Learning a Weighted Classifier for Conditional Domain Adaptation. Knowl. Based Syst. 215: 106774 (2021) - [j33]Fei Wang, Lei Zhu, Jingjing Li, Haibao Chen, Huaxiang Zhang:
Unsupervised soft-label feature selection. Knowl. Based Syst. 219: 106847 (2021) - [j32]Yalan Ye, Ziwei Huang, Tongjie Pan, Jingjing Li, Heng Tao Shen:
Reducing bias to source samples for unsupervised domain adaptation. Neural Networks 141: 61-71 (2021) - [j31]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen:
Maximum Density Divergence for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3918-3930 (2021) - [j30]Lin Zuo, Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang:
Challenging tough samples in unsupervised domain adaptation. Pattern Recognit. 110: 107540 (2021) - [j29]Lei Zhu, Hui Cui, Zhiyong Cheng, Jingjing Li, Zheng Zhang:
Dual-Level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1478-1489 (2021) - [j28]Mengmeng Jing, Jidong Zhao, Jingjing Li, Lei Zhu, Yang Yang, Heng Tao Shen:
Adaptive Component Embedding for Domain Adaptation. IEEE Trans. Cybern. 51(7): 3390-3403 (2021) - [j27]Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen:
On Both Cold-Start and Long-Tail Recommendation with Social Data. IEEE Trans. Knowl. Data Eng. 33(1): 194-208 (2021) - [j26]Chaoqun Zheng, Lei Zhu, Zhiyong Cheng, Jingjing Li, An-An Liu:
Adaptive Partial Multi-View Hashing for Efficient Social Image Retrieval. IEEE Trans. Multim. 23: 4079-4092 (2021) - [c30]Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang:
Balanced Open Set Domain Adaptation via Centroid Alignment. AAAI 2021: 8013-8020 - [c29]Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu:
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. CVPR 2021: 3937-3946 - [c28]Mingxing Zhang, Yang Yang, Xinghan Chen, Yanli Ji, Xing Xu, Jingjing Li, Heng Tao Shen:
Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos. CVPR 2021: 12669-12678 - [c27]Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang:
Semantics Disentangling for Generalized Zero-Shot Learning. ICCV 2021: 8692-8700 - [i19]Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu:
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. CoRR abs/2106.04151 (2021) - [i18]Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring. CoRR abs/2108.01998 (2021) - 2020
- [j25]Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu:
Robust optimal graph clustering. Neurocomputing 378: 153-165 (2020) - [j24]Tong Wang, Lei Zhu, Zhiyong Cheng, Jingjing Li, Zan Gao:
Unsupervised Deep Cross-modal Hashing with Virtual Label Regression. Neurocomputing 386: 84-96 (2020) - [j23]Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang:
Multi-view feature selection via Nonnegative Structured Graph Learning. Neurocomputing 387: 110-122 (2020) - [j22]Zheng Wang, Jie Zhou, Jing Ma, Jingjing Li, Jiangbo Ai, Yang Yang:
Discovering attractive segments in the user-generated video streams. Inf. Process. Manag. 57(1) (2020) - [j21]Ao Ma, Fuming You, Mengmeng Jing, Jingjing Li, Ke Lu:
Multi-source domain adaptation with graph embedding and adaptive label prediction. Inf. Process. Manag. 57(6): 102367 (2020) - [j20]Yue Xie, Zhekai Du, Jingjing Li, Mengmeng Jing, Erpeng Chen, Ke Lu:
Joint metric and feature representation learning for unsupervised domain adaptation. Knowl. Based Syst. 192: 105222 (2020) - [j19]Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang:
Learning explicitly transferable representations for domain adaptation. Neural Networks 130: 39-48 (2020) - [j18]Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu:
Discrete Optimal Graph Clustering. IEEE Trans. Cybern. 50(4): 1697-1710 (2020) - [j17]Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie:
Scalable Deep Hashing for Large-Scale Social Image Retrieval. IEEE Trans. Image Process. 29: 1271-1284 (2020) - [j16]Lei Zhu, Xu Lu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang:
Deep Collaborative Multi-View Hashing for Large-Scale Image Search. IEEE Trans. Image Process. 29: 4643-4655 (2020) - [j15]Lei Zhu, Xu Lu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang:
Flexible Multi-modal Hashing for Scalable Multimedia Retrieval. ACM Trans. Intell. Syst. Technol. 11(2): 14:1-14:20 (2020) - [j14]Chaoqun Zheng, Lei Zhu, Xu Lu, Jingjing Li, Zhiyong Cheng, Hanwang Zhang:
Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Knowl. Data Eng. 32(11): 2171-2184 (2020) - [j13]Xu Lu, Lei Zhu, Jingjing Li, Huaxiang Zhang, Heng Tao Shen:
Efficient Supervised Discrete Multi-View Hashing for Large-Scale Multimedia Search. IEEE Trans. Multim. 22(8): 2048-2060 (2020) - [j12]Dan Shi, Lei Zhu, Yikun Li, Jingjing Li, Xiushan Nie:
Robust Structured Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4424-4436 (2020) - [j11]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks. ACM Trans. Inf. Syst. 38(3): 22:1-22:23 (2020) - [c26]Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun:
Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation. AAAI 2020: 270-278 - [c25]Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang:
Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. ACM Multimedia 2020: 1348-1356 - [c24]Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang, Zi Huang:
Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders. ACM Multimedia 2020: 3283-3291 - [c23]Zhi Chen, Sen Wang, Jingjing Li, Zi Huang:
Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches. ACM Multimedia 2020: 3413-3421 - [c22]Xiang Guan, Yang Yang, Zheng Wang, Jingjing Li:
Semantic feature augmentation for fine-grained visual categorization with few-sample training. MMAsia 2020: 11:1-11:7 - [c21]Yangchao Wang, Shiyuan He, Xing Xu, Yang Yang, Jingjing Li, Heng Tao Shen:
Self-supervised adversarial learning for cross-modal retrieval. MMAsia 2020: 16:1-16:7 - [c20]Liang Peng, Yang Yang, Xing Xu, Jingjing Li, Xiaofeng Zhu:
Multi-level expression guided attention network for referring expression comprehension. MMAsia 2020: 17:1-17:7 - [c19]Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yangyang Yangyang:
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language. WACV 2020: 863-872 - [i17]Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Jiande Sun:
Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation. CoRR abs/2003.10719 (2020) - [i16]Tong Wang, Lei Zhu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang:
Task-adaptive Asymmetric Deep Cross-modal Hashing. CoRR abs/2004.00197 (2020) - [i15]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen:
Maximum Density Divergence for Domain Adaptation. CoRR abs/2004.12615 (2020) - [i14]Lei Zhu, Hui Cui, Zhiyong Cheng, Jingjing Li, Zheng Zhang:
Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval. CoRR abs/2006.05586 (2020) - [i13]Zhi Chen, Sen Wang, Jingjing Li, Zi Huang:
Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches. CoRR abs/2007.13314 (2020) - [i12]Taotao Jing, Bingrong Xu, Jingjing Li, Zhengming Ding:
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation. CoRR abs/2010.12184 (2020)
2010 – 2019
- 2019
- [j10]Ke Zhang, Ken Cheng, Jingjing Li, Yuanyuan Peng:
A Channel Pruning Algorithm Based on Depth-Wise Separable Convolution Unit. IEEE Access 7: 173294-173309 (2019) - [j9]Jingjing Li, Ke Lu, Zi Huang, Lei Zhu, Heng Tao Shen:
Transfer Independently Together: A Generalized Framework for Domain Adaptation. IEEE Trans. Cybern. 49(6): 2144-2155 (2019) - [j8]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen:
Locality Preserving Joint Transfer for Domain Adaptation. IEEE Trans. Image Process. 28(12): 6103-6115 (2019) - [j7]Jingjing Li, Ke Lu, Zi Huang, Lei Zhu, Heng Tao Shen:
Heterogeneous Domain Adaptation Through Progressive Alignment. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1381-1391 (2019) - [c18]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. AAAI 2019: 4189-4196 - [c17]Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li, Heng Tao Shen:
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection. AAAI 2019: 8110-8117 - [c16]Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CIKM 2019: 579-588 - [c15]Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. CVPR 2019: 7402-7411 - [c14]Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang:
A Domain Adaptation Approach for Multistream Classification. DASFAA (3) 2019: 343-347 - [c13]Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang:
Adaptive Component Embedding for Unsupervised Domain Adaptation. ICME 2019: 1660-1665 - [c12]Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang:
Agile Domain Adaptation. IJCNN 2019: 1-8 - [c11]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang:
Cycle-consistent Conditional Adversarial Transfer Networks. ACM Multimedia 2019: 747-755 - [c10]Xu Lu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiushan Nie, Huaxiang Zhang:
Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval. ACM Multimedia 2019: 1129-1137 - [c9]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
Alleviating Feature Confusion for Generative Zero-shot Learning. ACM Multimedia 2019: 1587-1595 - [c8]Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Jingjing Li, Yang Yang:
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation. ACM Multimedia 2019: 2341-2350 - [c7]Jiwei Wei, Yang Yang, Jingjing Li, Lei Zhu, Lin Zuo, Heng Tao Shen:
Residual Graph Convolutional Networks for Zero-Shot Learning. MMAsia 2019: 9:1-9:6 - [i11]Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. CoRR abs/1904.04092 (2019) - [i10]Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng:
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection. CoRR abs/1904.11228 (2019) - [i9]Yudong Han, Lei Zhu, Zhiyong Cheng, Jingjing Li, Xiaobai Liu:
Discrete Optimal Graph Clustering. CoRR abs/1904.11266 (2019) - [i8]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen:
Locality Preserving Joint Transfer for Domain Adaptation. CoRR abs/1906.07441 (2019) - [i7]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. CoRR abs/1906.08511 (2019) - [i6]Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang:
Agile Domain Adaptation. CoRR abs/1907.04978 (2019) - [i5]Yadan Luo, Zi Huang, Zheng Zhang, Jingjing Li, Yang Yang:
Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation. CoRR abs/1908.00169 (2019) - [i4]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
Alleviating Feature Confusion for Generative Zero-shot Learning. CoRR abs/1909.07615 (2019) - [i3]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang:
Cycle-consistent Conditional Adversarial Transfer Networks. CoRR abs/1909.07618 (2019) - [i2]Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yang Yang:
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language. CoRR abs/1909.09822 (2019) - [i1]Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CoRR abs/1911.11942 (2019) - 2018
- [j6]Jieyan Liu, Jingjing Li, Ke Lu:
Coupled local-global adaptation for multi-source transfer learning. Neurocomputing 275: 247-254 (2018) - [c6]Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu:
Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. DASFAA (2) 2018: 491-508 - [c5]Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng:
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection. IJCAI 2018: 2064-2070 - [c4]Jingjing Li, Lei Zhu, Zi Huang, Ke Lu, Jidong Zhao:
I read, I saw, I tell: Texts Assisted Fine-Grained Visual Classification. ACM Multimedia 2018: 663-671 - 2017
- [j5]Jieyan Liu, Ao Ma, Jingjing Li, Ke Lu:
Low-Rank Representation with Graph Constraints for Robust Visual Tracking. IEICE Trans. Inf. Syst. 100-D(6): 1325-1338 (2017) - [j4]Jingjing Li, Yue Wu, Ke Lu:
Structured Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 27(8): 1700-1713 (2017) - [j3]Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu:
Low-Rank Discriminant Embedding for Multiview Learning. IEEE Trans. Cybern. 47(11): 3516-3529 (2017) - [c3]Jingjing Li, Ke Lu, Lei Zhu, Zhihui Li:
Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation. ADC 2017: 193-204 - [c2]Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen:
Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation. ACM Multimedia 2017: 898-906 - 2016
- [j2]Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu:
Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification. Neurocomputing 173: 501-510 (2016) - [c1]Jingjing Li, Jidong Zhao, Ke Lu:
Joint Feature Selection and Structure Preservation for Domain Adaptation. IJCAI 2016: 1697-1703 - 2015
- [j1]Jidong Zhao, Jingjing Li, Ke Lu:
Robust Visual Tracking Using Sparse Discriminative Graph Embedding. IEICE Trans. Inf. Syst. 98-D(4): 938-947 (2015)
Coauthor Index
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