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Jinghuai Zhang
Jinghuai Zhang
UCLA, ECE
Verified email at g.ucla.edu - Homepage
Title
Cited by
Cited by
Year
Multimodal Motion Prediction with Stacked Transformers
Y Liu*, J Zhang*, L Fang, Q Jiang, B Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
4012021
Evading Watermark based Detection of AI-Generated Content
Z Jiang*, J Zhang*, NZ Gong
ACM Conference on Computer and Communications Security (CCS), 2023
542023
A novel learning framework for sampling-based motion planning in autonomous driving
Y Zhang*, J Zhang*, J Zhang, J Wang, K Lu, J Hong
AAAI Conference on Artificial Intelligence (AAAI), 2020
232020
Style Mixer: Semantic‐aware Multi‐Style Transfer Network
Z Huang*, J Zhang*, J Liao
Computer Graphics Forum 38 (7), 469-480, 2019
232019
Data Poisoning based Backdoor Attacks to Contrastive Learning
J Zhang, H Liu, J Jia, NZ Gong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
15*2024
Integrating algorithmic sampling-based motion planning with learning in autonomous driving
Y Zhang, J Zhang, J Zhang, J Wang, K Lu, J Hong
ACM Transactions on Intelligent Systems and Technology (TIST), 2022
132022
BadMerging: Backdoor Attacks Against Model Merging
J Zhang, J Chi, Z Li, K Cai, Y Zhang, Y Tian
ACM Conference on Computer and Communications Security (CCS), 2024
72024
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
J Zhang, J Jia, H Liu, NZ Gong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
72023
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation
K Cai, J Zhang, W Shand, Z Hong, G Wang, D Zhang, J Chi, Y Tian
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
22024
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
Y Jia, M Fang, H Liu, J Zhang, NZ Gong
arXiv preprint arXiv:2407.07221, 2024
12024
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
J Zheng, J Zhang, F Wang, T Du, T Lin
ICLR 2024 Workshop on Secure and Trustworthy Large Language Models, 2024
2024
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Articles 1–11