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ORCIDHaizhong Zheng
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2020 – today
- 2024
[c7]Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Z. Morley Mao, Chaowei Xiao, Atul Prakash:
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation. ECCV (24) 2024: 166-182- [c6]Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash
, Zhuoqing Mao, Chaowei Xiao:
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. ICLR 2024 - [i11]Haizhong Zheng, Xiaoyan Bai, Beidi Chen, Fan Lai, Atul Prakash:
Learn To be Efficient: Build Structured Sparsity in Large Language Models. CoRR abs/2402.06126 (2024) - [i10]Shuowei Jin, Yongji Wu, Haizhong Zheng, Qingzhao Zhang, Matthew Lentz, Z. Morley Mao, Atul Prakash, Feng Qian, Danyang Zhuo:
Adaptive Skeleton Graph Decoding. CoRR abs/2402.12280 (2024) - [i9]Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash:
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling. CoRR abs/2406.04273 (2024) - 2023
- [c5]Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash:
Coverage-centric Coreset Selection for High Pruning Rates. ICLR 2023 - [i8]Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Z. Morley Mao, Chaowei Xiao:
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. CoRR abs/2306.00349 (2023) - [i7]Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Zhuoqing Mao, Chaowei Xiao, Atul Prakash:
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation. CoRR abs/2310.07506 (2023) - 2022
- [i6]Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash:
Coverage-centric Coreset Selection for High Pruning Rates. CoRR abs/2210.15809 (2022) - 2020
- [c4]Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash:
Efficient Adversarial Training With Transferable Adversarial Examples. CVPR 2020: 1178-1187 - [i5]Haizhong Zheng, Ziqi Zhang, Honglak Lee, Atul Prakash:
Understanding and Diagnosing Vulnerability under Adversarial Attacks. CoRR abs/2007.08716 (2020)
2010 – 2019
- 2019
- [i4]Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng:
Robust Classification using Robust Feature Augmentation. CoRR abs/1905.10904 (2019) - [i3]Haizhong Zheng, Earlence Fernandes, Atul Prakash:
Analyzing the Interpretability Robustness of Self-Explaining Models. CoRR abs/1905.12429 (2019) - [i2]Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash:
Efficient Adversarial Training with Transferable Adversarial Examples. CoRR abs/1912.11969 (2019) - 2018
- [c3]Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross:
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks. NDSS 2018 - 2017
- [c2]Haizhong Zheng, Neng Li, Minhui Xue, Suguo Du, Haojin Zhu:
Fake reviews tell no tales? Dissecting click farming in content-generated social networks. ICCC 2017: 1-6 - [i1]Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross:
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks. CoRR abs/1709.06916 (2017) - 2014
- [c1]Xiaokuan Zhang, Haizhong Zheng, Xiaolong Li, Suguo Du, Haojin Zhu:
You are where you have been: Sybil detection via geo-location analysis in OSNs. GLOBECOM 2014: 698-703
Coauthor Index
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