| Class-incremental learning via deep model consolidation J Zhang, J Zhang, S Ghosh, D Li, S Tasci, L Heck, H Zhang, CCJ Kuo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 370 | 2020 |
| Talking face generation by conditional recurrent adversarial network Y Song, J Zhu, D Li, X Wang, H Qi Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 196 | 2019 |
| Deepcham: Collaborative edge-mediated adaptive deep learning for mobile object recognition D Li, T Salonidis, NV Desai, MC Chuah 2016 IEEE/ACM Symposium on Edge Computing (SEC), 64-76, 2016 | 151 | 2016 |
| LCANet: End-to-end lipreading with cascaded attention-CTC K Xu, D Li, N Cassimatis, X Wang 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 130 | 2018 |
| Deeprebirth: Accelerating deep neural network execution on mobile devices D Li, X Wang, D Kong Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 121 | 2018 |
| RILOD: Near real-time incremental learning for object detection at the edge D Li, S Tasci, S Ghosh, J Zhu, J Zhang, L Heck Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 113-126, 2019 | 62 | 2019 |
| Evaluation of security vulnerabilities by using ProtoGENI as a launchpad D Li, X Hong, J Bowman 2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, 1-6, 2011 | 35 | 2011 |
| Misc: Multi-condition injection and spatially-adaptive compositing for conditional person image synthesis S Weng, W Li, D Li, H Jin, B Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 30 | 2020 |
| SCOM: A scalable content centric network architecture with mobility support D Li, MC Chuah 2013 IEEE 9th international conference on mobile ad-hoc and sensor networks …, 2013 | 23 | 2013 |
| Regularize, expand and compress: Nonexpansive continual learning J Zhang, J Zhang, S Ghosh, D Li, J Zhu, H Zhang, Y Wang Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 22 | 2020 |
| Unleash the black magic in age: a multi-task deep neural network approach for cross-age face verification X Wang, Y Zhou, D Kong, J Currey, D Li, J Zhou Automatic Face & Gesture Recognition (FG 2017), 2017 | 21 | 2017 |
| Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices J Zhang, X Wang, D Li, Y Wang Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 20 | 2018 |
| Boundary-sensitive network for portrait segmentation X Du, X Wang, D Li, J Zhu, S Tasci, C Upright, S Walsh, L Davis 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 18 | 2019 |
| EMOD: an efficient on-device mobile visual search system D Li, MC Chuah Proceedings of the 6th ACM Multimedia Systems Conference, 25-36, 2015 | 18 | 2015 |
| GPFS: a graph-based human pose forecasting system for smart home with online learning X Li, D Li ACM Transactions on Sensor Networks (TOSN) 17 (3), 1-19, 2021 | 14 | 2021 |
| Lehigh explorer augmented campus tour (LACT) D Li, MC Chuah, L Tian Proceedings of the 2014 workshop on Mobile augmented reality and robotic …, 2014 | 13 | 2014 |
| Edge-based adaptive machine learning for object recognition NV Desai, D Li, T Salonidis US Patent 11,176,423, 2021 | 12 | 2021 |
| Edge-based adaptive machine learning for object recognition NV Desai, D Li, T Salonidis US Patent App. 15/801,791, 2021 | 12 | 2021 |
| System and method for incremental learning J Zhang, J Zhang, S Ghosh, D Li, S Tasci, L Heck US Patent 16/255,737, 2020 | 9 | 2020 |
| Edge-based adaptive machine learning for object recognition NV Desai, D Li, T Salonidis US Patent 11,379,695, 2022 | 8 | 2022 |
