Haizhong Zheng

According to our database, Haizhong Zheng authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling.

Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash

CoRR, 2024

Adaptive Skeleton Graph Decoding.

Shuowei Jin, Yongji Wu, Haizhong Zheng, Qingzhao Zhang, Matthew Lentz, Z. Morley Mao, Atul Prakash, Feng Qian, Danyang Zhuo

CoRR, 2024

Learn To be Efficient: Build Structured Sparsity in Large Language Models.

Haizhong Zheng, Xiaoyan Bai, Beidi Chen, Fan Lai, Atul Prakash

CoRR, 2024

Learn To be Efficient: Build Structured Sparsity in Large Language Models.

Haizhong Zheng, Xiaoyan Bai, Xueshen Liu, Zhuoqing Morley Mao, Beidi Chen, Fan Lai, Atul Prakash

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception.

Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Zhuoqing Mao, Chaowei Xiao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation.

Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Z. Morley Mao, Chaowei Xiao, Atul Prakash

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Coverage-centric Coreset Selection for High Pruning Rates.

Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2020

Understanding and Diagnosing Vulnerability under Adversarial Attacks.

Haizhong Zheng, Ziqi Zhang, Honglak Lee, Atul Prakash

CoRR, 2020

Efficient Adversarial Training With Transferable Adversarial Examples.

Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Analyzing the Interpretability Robustness of Self-Explaining Models.

Haizhong Zheng, Earlence Fernandes, Atul Prakash

CoRR, 2019

Robust Classification using Robust Feature Augmentation.

Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng

CoRR, 2019

2018

Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks.

Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

2017

Fake reviews tell no tales? Dissecting click farming in content-generated social networks.

Haizhong Zheng, Neng Li, Minhui Xue, Suguo Du, Haojin Zhu

Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

2014

You are where you have been: Sybil detection via geo-location analysis in OSNs.

Xiaokuan Zhang, Haizhong Zheng, Xiaolong Li, Suguo Du, Haojin Zhu

Proceedings of the IEEE Global Communications Conference, 2014