Dipole: Diagnosis prediction in healthcare via attention-based bidirectional recurrent neural networks F Ma, R Chitta, J Zhou, Q You, T Sun, J Gao Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 522 | 2017 |
Towards language-free training for text-to-image generation Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 272 | 2022 |
Llavar: Enhanced visual instruction tuning for text-rich image understanding Y Zhang, R Zhang, J Gu, Y Zhou, N Lipka, D Yang, T Sun arXiv preprint arXiv:2306.17107, 2023 | 158 | 2023 |
Semi-automatic system with an iterative learning method for uncovering the leading indicators in business processes W Peng, PC Rose, T Sun US Patent 8,010,589, 2011 | 148 | 2011 |
Social network user influence sense-making and dynamics prediction J Li, W Peng, T Li, T Sun, Q Li, J Xu Expert Systems with Applications 41 (11), 5115-5124, 2014 | 109 | 2014 |
System and method for auto-suggesting responses based on social conversational contents in customer care services V Thirugnanasundaram, DR Vandervort, T Sun, A Bakthavachalu US Patent 10,162,884, 2018 | 102 | 2018 |
Unidoc: Unified pretraining framework for document understanding J Gu, J Kuen, VI Morariu, H Zhao, R Jain, N Barmpalios, A Nenkova, ... Advances in Neural Information Processing Systems 34, 39-50, 2021 | 100 | 2021 |
Towards interpreting and mitigating shortcut learning behavior of NLU models M Du, V Manjunatha, R Jain, R Deshpande, F Dernoncourt, J Gu, T Sun, ... arXiv preprint arXiv:2103.06922, 2021 | 94 | 2021 |
The eyes of the beholder: Gender prediction using images posted in online social networks Q You, S Bhatia, T Sun, J Luo 2014 IEEE International conference on data mining workshop, 1026-1030, 2014 | 83 | 2014 |
Managing document interactions in collaborative document environments of virtual worlds T Sun, J Karlsson, W Peng US Patent 8,615,713, 2013 | 73 | 2013 |
Scalable differential privacy with certified robustness in adversarial learning H Phan, MT Thai, H Hu, R Jin, T Sun, D Dou International Conference on Machine Learning, 7683-7694, 2020 | 59 | 2020 |
Workflow auto generation from user constraints and hierarchical dependence graphs for workflows T Sun, JO Walker, SV Revankar, NR Gottumukkala US Patent 7,580,911, 2009 | 55 | 2009 |
Cross-domain document object detection: Benchmark suite and method K Li, C Wigington, C Tensmeyer, H Zhao, N Barmpalios, VI Morariu, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 54 | 2020 |
Workflow auto generation from user constraints and hierarchical dependence graphs for workflows T Sun, JO Walker, SV Revankar, NR Gottumukkala US Patent 8,442,852, 2013 | 50 | 2013 |
Workflow auto generation from user constraints and hierarchical dependence graphs for workflows T Sun, J Walker, S Revankar, N Gottumukkala US Patent App. 10/836,298, 2005 | 46 | 2005 |
Conversation analysis of asynchronous decentralized media JJL Bourdaillet, W Peng, T Sun, MH Szymanski US Patent 9,330,422, 2016 | 45 | 2016 |
A semi-automatic system with an iterative learning method for discovering the leading indicators in business processes W Peng, T Sun, P Rose, T Li proceedings of the 2007 international workshop on domain driven data mining …, 2007 | 41 | 2007 |
Methods and systems for automatic analysis of conversations between customer care agents and customers A Agarwal, S Kataria, T Sun, S Bhatia US Patent 9,645,994, 2017 | 40 | 2017 |
Validation and analysis of JDF workflows using colored petri nets T Sun, RN Gottumukkala, MD Shepherd US Patent 7,734,492, 2010 | 39 | 2010 |
Enhancing detail preservation for customized text-to-image generation: A regularization-free approach Y Zhou, R Zhang, T Sun, J Xu arXiv preprint arXiv:2305.13579, 2023 | 35 | 2023 |