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ORCIDHongjun Choi
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2020 – today
- 2024
[j4]Eun Som Jeon
, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga:
Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. 130: 107719 (2024)- [c16]Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang:
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection. ICLR 2024 - [i13]Hongjun Choi, Jayaraman J. Thiagarajan, Ruben Glatt, Shusen Liu:
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization. CoRR abs/2407.00356 (2024) - [i12]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga:
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR abs/2407.05315 (2024) - [i11]Shiwei Feng, Yapeng Ye, Qingkai Shi, Zhiyuan Cheng, Xiangzhe Xu, Siyuan Cheng, Hongjun Choi, Xiangyu Zhang:
ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation. CoRR abs/2409.07774 (2024) - 2023
- [j3]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga:
Leveraging angular distributions for improved knowledge distillation. Neurocomputing 518: 466-481 (2023) - [j2]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga:
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c15]Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga:
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. WACV 2023: 2318-2327 - [i10]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga:
Leveraging Angular Distributions for Improved Knowledge Distillation. CoRR abs/2302.14130 (2023) - [i9]Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang:
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. CoRR abs/2304.14614 (2023) - 2022
- [c14]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga:
Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF 2022: 837-842 - [c13]Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang:
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. ECCV (38) 2022: 514-532 - [c12]Hongjun Choi, Zhiyuan Cheng, Xiangyu Zhang:
RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning. NDSS 2022 - [i8]Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang:
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. CoRR abs/2207.04718 (2022) - [i7]Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga:
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. CoRR abs/2211.03946 (2022) - 2021
- [c11]Sayali Kate, Michael Chinn, Hongjun Choi, Xiangyu Zhang, Sebastian G. Elbaum:
PHYSFRAME: type checking physical frames of reference for robotic systems. ESEC/SIGSOFT FSE 2021: 45-56 - [i6]Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga:
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR abs/2102.08360 (2021) - [i5]Sayali Kate, Michael Chinn, Hongjun Choi, Xiangyu Zhang, Sebastian G. Elbaum:
PHYSFRAME: Type Checking Physical Frames of Reference for Robotic Systems. CoRR abs/2106.11266 (2021) - 2020
- [c10]Hongjun Choi, Sayali Kate, Yousra Aafer, Xiangyu Zhang, Dongyan Xu:
Cyber-Physical Inconsistency Vulnerability Identification for Safety Checks in Robotic Vehicles. CCS 2020: 263-278 - [c9]Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga:
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CVPR Workshops 2020: 3639-3648 - [c8]Hongjun Choi, Anirudh Som, Pavan K. Turaga:
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CVPR Workshops 2020: 3659-3666 - [c7]Hongjun Choi, Sayali Kate, Yousra Aafer, Xiangyu Zhang, Dongyan Xu:
Software-based Realtime Recovery from Sensor Attacks on Robotic Vehicles. RAID 2020: 349-364 - [i4]Hongjun Choi, Anirudh Som, Pavan K. Turaga:
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CoRR abs/2004.09805 (2020) - [i3]Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Hongjun Choi, Blake A. Hechtman, Shibo Wang:
Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training. CoRR abs/2004.13336 (2020) - [i2]Hongjun Choi, Anirudh Som, Pavan K. Turaga:
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. CoRR abs/2009.10762 (2020)
2010 – 2019
- 2019
- [c6]Wen-Chuan Lee, Yingqi Liu, Peng Liu, Shiqing Ma, Hongjun Choi, Xiangyu Zhang, Rajiv Gupta:
White-Box Program Tuning. CGO 2019: 122-135 - [i1]Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga:
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CoRR abs/1906.01769 (2019) - 2018
- [j1]Hongjun Choi, Mingi Kim, Onseok Lee:
An extended Kalman filter for mouse tracking. Medical Biol. Eng. Comput. 56(11): 2109-2123 (2018) - [c5]Hongjun Choi, Wen-Chuan Lee, Yousra Aafer, Fan Fei, Zhan Tu, Xiangyu Zhang, Dongyan Xu, Xinyan Deng:
Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach. CCS 2018: 801-816 - [c4]Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava:
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. CVPR Workshops 2018: 349-357 - [c3]Chung Hwan Kim, Taegyu Kim, Hongjun Choi, Zhongshu Gu, Byoungyoung Lee, Xiangyu Zhang, Dongyan Xu:
Securing Real-Time Microcontroller Systems through Customized Memory View Switching. NDSS 2018 - 2017
- [c2]Taegyu Kim, Chung Hwan Kim, Hongjun Choi, Yonghwi Kwon, Brendan Saltaformaggio, Xiangyu Zhang, Dongyan Xu:
RevARM: A Platform-Agnostic ARM Binary Rewriter for Security Applications. ACSAC 2017: 412-424 - 2016
- [c1]Brendan Saltaformaggio, Hongjun Choi, Kristen Johnson, Yonghwi Kwon, Qi Zhang, Xiangyu Zhang, Dongyan Xu, John Qian:
Eavesdropping on Fine-Grained User Activities Within Smartphone Apps Over Encrypted Network Traffic. WOOT 2016
Coauthor Index
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last updated on 2024-10-14 23:30 CEST by the dblp team
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