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2020 – today
- 2023
[c4]Loc Trinh, Tim Chu, Zijun Cui, Anand Malpani, Cherine Yang, Istabraq Dalieh, Alvin Hui, Oscar Gomez, Yan Liu, Andrew J. Hung:
Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills. MICCAI (9) 2023: 708-717- [i6]Yizhou Zhang, Loc Trinh, Defu Cao
, Zijun Cui, Yan Liu:
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model. CoRR abs/2304.07633 (2023) - 2022
- [j1]Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung:
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022) - [i5]Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu:
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. CoRR abs/2211.11513 (2022) - 2021
- [c3]Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, Boyuan Long, Mingtao Dong, Vyom Unadkat, Haig Yenikomshian, Justin Gillenwater, Yan Liu:
DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. AMIA 2021 - [c2]Loc Trinh, Yan Liu:
An Examination of Fairness of AI Models for Deepfake Detection. IJCAI 2021: 567-574 - [c1]Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu:
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes. WACV 2021: 1972-1982 - [i4]Chuizheng Meng, Loc Trinh, Nan Xu, Yan Liu:
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset. CoRR abs/2102.06761 (2021) - [i3]Loc Trinh, Yan Liu:
An Examination of Fairness of AI Models for Deepfake Detection. CoRR abs/2105.00558 (2021) - [i2]Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie:
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids. CoRR abs/2110.06324 (2021) - 2020
- [i1]Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu:
Interpretable Deepfake Detection via Dynamic Prototypes. CoRR abs/2006.15473 (2020)
Coauthor Index
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