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Jiashu Xu
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2020 – today
- 2024
- [c12]Qin Liu, Wenjie Mo, Terry Tong, Jiashu Xu, Fei Wang, Chaowei Xiao, Muhao Chen:
Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges. Allerton 2024: 1-8 - [c11]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CVPR 2024: 22401-22412 - [c10]Terry Tong, Qin Liu, Jiashu Xu, Muhao Chen:
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks. EMNLP (Findings) 2024: 12833-12846 - [c9]Jiashu Xu
:
Comparison and Application of FPGA and ASIC in Digital System Design. ICDSM 2024: 216-220 - [c8]Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen:
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. NAACL-HLT 2024: 3111-3126 - [c7]Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen:
Instructional Fingerprinting of Large Language Models. NAACL-HLT 2024: 3277-3306 - [i17]Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen:
Instructional Fingerprinting of Large Language Models. CoRR abs/2401.12255 (2024) - [i16]Jiashu Xu:
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation. CoRR abs/2405.05007 (2024) - [i15]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR abs/2405.09546 (2024) - [i14]Terry Tong, Jiashu Xu, Qin Liu, Muhao Chen:
Securing Multi-turn Conversational Language Models Against Distributed Backdoor Triggers. CoRR abs/2407.04151 (2024) - [i13]Qin Liu, Wenjie Mo, Terry Tong, Jiashu Xu, Fei Wang, Chaowei Xiao, Muhao Chen:
Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges. CoRR abs/2409.19993 (2024) - [i12]Jiashu Xu:
Med-TTT: Vision Test-Time Training model for Medical Image Segmentation. CoRR abs/2410.02523 (2024) - 2023
- [j3]Jiashu Xu
Mixup Feature: A Pretext Task Self-Supervised Learning Method for Enhanced Visual Feature Learning. IEEE Access 11: 82400-82409 (2023) - [c6]Jiashu Xu, Mingyu Derek Ma, Muhao Chen:
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? ACL (1) 2023: 2450-2467 - [c5]Yahu Yang, Hu Zhang, Jiashu Xu
MATEKG: A Large-scale Multi-class Equipment Knowledge Graph for Military Auxiliary Tasks. ICISCAE 2023: 133-138 - [i11]Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen:
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. CoRR abs/2305.14710 (2023) - [i10]Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet:
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. CoRR abs/2309.05956 (2023) - [i9]Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen:
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. CoRR abs/2311.09763 (2023) - [i8]Brian Nlong Zhao, Yuhang Xiao
DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. CoRR abs/2312.14216 (2023) - 2022
- [j2]Runzhuo Ma
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022) - [c4]Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet:
Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) 2022: 477-493 - [c3]Yufeng Yin
X-Norm: Exchanging Normalization Parameters for Bimodal Fusion. ICMI 2022: 605-614 - [c2]James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen:
Unified Semantic Typing with Meaningful Label Inference. NAACL-HLT 2022: 2642-2654 - [i7]James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen:
Unified Semantic Typing with Meaningful Label Inference. CoRR abs/2205.01826 (2022) - [i6]Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet:
DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. CoRR abs/2206.09592 (2022) - [i5]Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet:
Neural-Sim: Learning to Generate Training Data with NeRF. CoRR abs/2207.11368 (2022) - [i4]Jiashu Xu, Sergii G. Stirenko:
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification. CoRR abs/2210.05073 (2022) - [i3]Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet:
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. CoRR abs/2212.07629 (2022) - [i2]Jiashu Xu, Mingyu Derek Ma, Muhao Chen:
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? CoRR abs/2212.10784 (2022) - 2021
- [c1]Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren:
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. NeurIPS 2021: 18241-18255 - [i1]Aaron Chan, Soumya Sanyal, Boyuan Long, Jiashu Xu, Tanishq Gupta, Xiang Ren:
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. CoRR abs/2104.08793 (2021) - 2020
- [j1]Zhuokun Pan, Jiashu Xu, Yubin Guo, Yueming Hu, Guangxing Wang
Deep Learning Segmentation and Classification for Urban Village Using a Worldview Satellite Image Based on U-Net. Remote. Sens. 12(10): 1574 (2020)
Coauthor Index
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