| Ensemble hybrid learning methods for automated depression detection L Ansari, S Ji, Q Chen, E Cambria IEEE transactions on computational social systems 10 (1), 211-219, 2022 | 44 | 2022 |
| Sequential fusion of facial appearance and dynamics for depression recognition Q Chen, I Chaturvedi, S Ji, E Cambria Pattern Recognition Letters 150, 115-121, 2021 | 39 | 2021 |
| Text-image sentiment analysis Q Chen, E Ragusa, I Chaturvedi, E Cambria, R Zunino International Conference on Computational Linguistics and Intelligent Text …, 2018 | 9 | 2018 |
| Learning visual concepts in images using temporal convolutional networks C Qian, I Chaturvedi, S Poria, E Cambria, L Malandri 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1280-1284, 2018 | 5 | 2018 |
| Landmark calibration for facial expressions and fish classification I Chaturvedi, Q Chen, E Cambria, D McConnell Signal, Image and Video Processing 16 (2), 377-384, 2022 | 4 | 2022 |
| Adaptive knowledge distillation between text and speech pre-trained models J Ni, Y Ma, W Wang, Q Chen, D Ng, H Lei, TH Nguyen, C Zhang, B Ma, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Gaussian correction for adversarial learning of boundaries I Chaturvedi, Q Chen, RE Welsch, K Thapa, E Cambria Signal Processing: Image Communication 109, 116841, 2022 | 3 | 2022 |
| Sound to expression: Using emotional sound to guide facial expression editing W Liu, S Zhang, L Zhou, N Luo, Q Chen Journal of King Saud University-Computer and Information Sciences 36 (3), 101998, 2024 | | 2024 |
Erik CambriaProfessor of Computing and Data Science, NTU SingaporeVerified email at ntu.edu.sg
