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Simon Yu
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2020 – today
- 2024
- [j4]Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher:
Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines. Commun. ACM 67(2): 110-117 (2024) - [j3]Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Perception simplex: Verifiable collision avoidance in autonomous vehicles amidst obstacle detection faults. Softw. Test. Verification Reliab. 34(6) (2024) - [c5]Pinzhen Chen, Simon Yu, Zhicheng Guo, Barry Haddow:
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models? EMNLP 2024: 9706-9726 - [i7]Pinzhen Chen, Simon Yu, Zhicheng Guo, Barry Haddow:
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models? CoRR abs/2406.12822 (2024) - [i6]Simon Yu, Liangyu Chen, Sara Ahmadian, Marzieh Fadaee:
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement. CoRR abs/2409.11378 (2024) - 2023
- [c4]Xiaoyu Yang, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang:
Geometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography. TML4H 2023: 190-196 - [i5]Xiaoyu Yang, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang:
Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network. CoRR abs/2305.04208 (2023) - [i4]Ziyu Ni, Linda Wei, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang:
Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics. CoRR abs/2305.19107 (2023) - 2022
- [j2]Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Huajie Shao, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher:
Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems. IEEE Trans. Computers 71(8): 1770-1783 (2022) - [c3]Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Verifiable Obstacle Detection. ISSRE 2022: 61-72 - [i3]Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Verifiable Obstacle Detection. CoRR abs/2208.14403 (2022) - [i2]Ayoosh Bansal, Simon Yu, Hunmin Kim, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles. CoRR abs/2209.01710 (2022) - 2021
- [i1]Jiyang Chen, Simon Yu, Rohan Tabish, Ayoosh Bansal, Shengzhong Liu, Tarek F. Abdelzaher, Lui Sha:
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving. CoRR abs/2111.09799 (2021) - 2020
- [c2]Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher:
On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines. RTSS 2020: 319-332
2010 – 2019
- 2019
- [c1]Mirco Theile, Simon Yu, Or D. Dantsker, Marco Caccamo:
Trajectory Estimation for Geo-Fencing Applications on Small-Size Fixed-Wing UAVs. IROS 2019: 1971-1977 - 2013
- [j1]Irina Rusinova, Sam Forster, Simon Yu, Anitha Kannan, Marion Masse, Helen Cumming, Ross Chapman, Paul J. Hertzog:
INTERFEROME v2.0: an updated database of annotated interferon-regulated genes. Nucleic Acids Res. 41(Database-Issue): 1040-1046 (2013)
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