Daml: Dual attention mutual learning between ratings and reviews for item recommendation D Liu, J Li, B Du, J Chang, R Gao Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 199 | 2019 |
Siamese capsule networks with global and local features for text classification Y Wu, J Li, J Wu, J Chang Neurocomputing 390, 88-98, 2020 | 64 | 2020 |
Multi-aspect enhanced graph neural networks for recommendation C Zhang, S Xue, J Li, J Wu, B Du, D Liu, J Chang Neural Networks 157, 90-102, 2023 | 39 | 2023 |
A hybrid neural network approach to combine textual information and rating information for item recommendation D Liu, J Li, B Du, J Chang, R Gao, Y Wu Knowledge and Information Systems 63, 621-646, 2021 | 35 | 2021 |
STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation R Gao, J Li, X Li, C Song, J Chang, D Liu, C Wang Neurocomputing 319, 118-133, 2018 | 26 | 2018 |
MeMu: Metric correlation Siamese network and multi-class negative sampling for visual tracking Y Xiao, J Li, B Du, J Wu, J Chang, W Zhang Pattern Recognition 100, 107170, 2020 | 23 | 2020 |
Exploiting geo-social correlations to improve pairwise ranking for point-of-interest recommendation R Gao, J Li, B Du, X Li, J Chang, C Song, D Liu China Communications 15 (7), 180-201, 2018 | 19 | 2018 |
Words in pairs neural networks for text classification Y WU, J LI, C SONG, J CHANG Chinese Journal of Electronics 29 (3), 491-500, 2020 | 14 | 2020 |
Multi-task adversarial autoencoder network for face alignment in the wild X Yue, J Li, J Wu, J Chang, J Wan, J Ma Neurocomputing 437, 261-273, 2021 | 13 | 2021 |
Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis X Huang, J Li, J Wu, J Chang, D Liu, K Zhu Information Processing & Management 61 (3), 103630, 2024 | 12 | 2024 |
Real-time visual tracking using complementary kernel support correlation filters Z Su, J Li, J Chang, B Du, Y Xiao Frontiers of Computer Science 14, 417-429, 2020 | 12 | 2020 |
Efficient compressive sensing tracking via mixed classifier decision H Sun, J Li, J Chang, B Du, Z Su Science China Information Sciences 59, 1-15, 2016 | 12 | 2016 |
Text classification using triplet capsule networks Y Wu, J Li, V Chen, J Chang, Z Ding, Z Wang 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 11 | 2020 |
Facial expression recognition on the high aggregation subgraphs T Liu, J Li, J Wu, B Du, J Chang, Y Liu IEEE Transactions on Image Processing, 2023 | 10 | 2023 |
GARAT: generative adversarial learning for robust and accurate tracking B Yao, J Li, S Xue, J Wu, H Guan, J Chang, Z Ding Neural Networks 148, 206-218, 2022 | 10 | 2022 |
Deep recommendation with adversarial training C Zhang, J Li, J Wu, D Liu, J Chang, R Gao IEEE Transactions on Emerging Topics in Computing 10 (4), 1966-1978, 2022 | 10 | 2022 |
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce D Liu, J Li, J Wu, B Du, J Chang, X Li Information Processing & Management 59 (4), 102982, 2022 | 9 | 2022 |
Face Alignment by Coarse‐to‐Fine Shape Estimation J Wan, J Li, J Chang, Y WU, Y Xiao, C Song Chinese Journal of Electronics 27 (6), 1183-1191, 2018 | 9 | 2018 |
Drift-proof tracking with deep reinforcement learning Z Chen, J Li, J Wu, J Chang, Y Xiao, X Wang IEEE Transactions on Multimedia 24, 609-624, 2021 | 8 | 2021 |
Object removal for testing object detection in autonomous vehicle systems X Wang, S Yang, J Shao, J Chang, G Gao, M Li, J Xuan 2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021 | 7 | 2021 |