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Haizhong Zheng
Haizhong Zheng
在 umich.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Efficient Adversarial Training with Transferable Adversarial Examples
H Zheng, Z Zhang, J Gu, H Lee, A Prakash
Computer Vision and Pattern Recognition (CVPR) 2020, 2020
1312020
Smoke screener or straight shooter: Detecting elite sybil attacks in user-review social networks
H Zheng, M Xue, H Lu, S Hao, H Zhu, X Liang, K Ross
NDSS 2018, 2018
702018
Coverage-centric Coreset Selection for High Pruning Rates
H Zheng, R Liu, F Lai, A Prakash
International Conference on Learning Representations (ICLR) 2023, 2023
362023
You are where you have been: Sybil detection via geo-location analysis in OSNs
X Zhang, H Zheng, X Li, S Du, H Zhu
2014 IEEE Global Communications Conference, 698-703, 2014
292014
Fake reviews tell no tales? dissecting click farming in content-generated social networks
N Li, S Du, H Zheng, M Xue, H Zhu
China Communications 15 (4), 98-109, 2018
202018
Analyzing the Interpretability Robustness of Self-Explaining Models
H Zheng, E Fernandes, A Prakash
ICML‘2019 Workshop on Security and Privacy of Machine Learning, 2019
122019
Learn To be Efficient: Build Structured Sparsity in Large Language Models
H Zheng, X Bai, B Chen, F Lai, A Prakash
arXiv preprint arXiv:2402.06126, 2024
62024
Understanding and diagnosing vulnerability under adversarial attacks
H Zheng, Z Zhang, H Lee, A Prakash
arXiv preprint arXiv:2007.08716, 2020
62020
Adaptive skeleton graph decoding
S Jin, Y Wu, H Zheng, Q Zhang, M Lentz, ZM Mao, A Prakash, F Qian, ...
arXiv preprint arXiv:2402.12280, 2024
32024
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
J Sun, H Zheng, Q Zhang, A Prakash, ZM Mao, C Xiao
International Conference on Learning Representations (ICLR) 2024, 2024
32024
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
H Zheng, J Sun, S Wu, B Kailkhura, Z Mao, C Xiao, A Prakash
European Conference on Computer Vision (ECCV) 2024, 2024
12024
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling
H Zheng, E Tsai, Y Lu, J Sun, BR Bartoldson, B Kailkhura, A Prakash
arXiv preprint arXiv:2406.04273, 2024
2024
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