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Jiashu Xu
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2020 – today
- 2024
- [c10]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 - [c9]Terry Tong, Qin Liu, Jiashu Xu, Muhao Chen:
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks. EMNLP (Findings) 2024: 12833-12846 - [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 - [i16]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) - [i15]Jiashu Xu:
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation. CoRR abs/2405.05007 (2024) - [i14]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) - [i13]Terry Tong, Jiashu Xu, Qin Liu, Muhao Chen:
Securing Multi-turn Conversational Language Models Against Distributed Backdoor Triggers. CoRR abs/2407.04151 (2024) - [i12]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) - 2023
- [j3]Jiashu Xu, Sergii G. Stirenko:
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, Shenmin Song:
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, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge:
DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. CoRR abs/2312.14216 (2023) - 2022
- [j2]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) - [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, Jiashu Xu, Tianxin Zu, Mohammad Soleymani:
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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last updated on 2024-11-15 20:35 CET by the dblp team
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