| Nonparallel emotional speech conversion J Gao, D Chakraborty, H Tembine, O Olaleye INTERSPEECH 2019, 2858 - 2862, 2019 | 81 | 2019 |
| Distributed mean-field-type filters for traffic networks J Gao, H Tembine IEEE Transactions on Intelligent Transportation Systems 20 (2), 507-521, 2018 | 46 | 2018 |
| An affine invariant approach for dense wide baseline image matching F Shi, J Gao, X Huang International Journal of Distributed Sensor Networks 12 (12), 1550147716680826, 2016 | 34 | 2016 |
| Distributionally Robust Optimization J Gao, Y Xu, J Barreiro-Gomez, M Ndong, M Smyrnakis, H Tembine Optimization Algorithms - Examples 1, 1-26, 2018 | 33 | 2018 |
| Distributed Mean-Field-Type Filters for Big Data Assimilation J Gao, H Tembine HPCC 2016, SmartCity 2016, DSS 2016, 8, 2016 | 32 | 2016 |
| Distributionally robust games: f-divergence and learning D Bauso, J Gao, H Tembine Proceedings of the 11th EAI International Conference on Performance …, 2017 | 29 | 2017 |
| A three-layer hybrid model for wind power prediction J Gao, P Chongfuangprinya, Y Ye, B Yang 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 26 | 2020 |
| Distributed mean-field-type filter for vehicle tracking J Gao, H Tembine 2017 American Control Conference (ACC), 4454-4459, 2017 | 22 | 2017 |
| A rotation and scale invariant approach for dense wide baseline matching J Gao, F Shi Intelligent Computing Theory: 10th International Conference, ICIC 2014 …, 2014 | 20 | 2014 |
| Correlative mean-field filter for sequential and spatial data processing J Gao, H Tembine IEEE EUROCON 2017-17th International Conference on Smart Technologies, 243-248, 2017 | 16 | 2017 |
| Distributionally robust games: Wasserstein metric J Gao, H Tembine 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 14 | 2018 |
| Empathy and berge equilibria in the forwarding dilemma in relay-enabled networks J Gao, H Tembine 2017 International Conference on Wireless Networks and Mobile Communications …, 2017 | 10 | 2017 |
| Game-theoretic approaches for generative modeling J Gao New York University Tandon School of Engineering, 2020 | 9 | 2020 |
| Bregman learning for generative adversarial networks J Gao, H Tembine 2018 Chinese Control And Decision Conference (CCDC), 82-89, 2018 | 6 | 2018 |
| Distributed mean-field filters J Gao, H Tembine Mobihoc Workshop, Paderborn, Germany, 2016 | 6* | 2016 |
| Distributionally Robust Games for Deep Generative Learning J Gao, H Tembine DOI: 10.13140/RG.2.2.15305.44644, 2018 | 2 | 2018 |
| HTEC: Human Transcription Error Correction H Sun, J Gao, X Wu, A Fang, C Cao, Z Du arXiv preprint arXiv:2309.10089, 2023 | 1 | 2023 |
| Human transcription quality improvement J Gao, H Sun, C Cao, Z Du arXiv preprint arXiv:2309.14372, 2023 | | 2023 |
| Optimization Algorithms: Examples J Valdman BoD–Books on Demand, 2018 | | 2018 |
tembineProfessor of AI @UQTRVerified email at uqtr.ca
