You are where you have been: Sybil detection via geo-location analysis in OSNs. - Xiaokuan Zhang; Haizhong Zheng; Xiaolong Li; Suguo Du; Haojin Zhu (GLOBECOM, 2014)

Fake reviews tell no tales? Dissecting click farming in content-generated social networks. - Haizhong Zheng; Neng Li; Minhui Xue 001; Suguo Du; Haojin Zhu (ICCC, 2017)

Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks. - Haizhong Zheng; Minhui Xue 001; Hao Lu; Shuang Hao 001; Haojin Zhu; Xiaohui Liang 002; Keith W. Ross (NDSS, 2018)

Robust Classification using Robust Feature Augmentation. - Kevin Eykholt; Swati Gupta 001; Atul Prakash 001; Haizhong Zheng (CoRR, 2019)

Analyzing the Interpretability Robustness of Self-Explaining Models. - Haizhong Zheng; Earlence Fernandes; Atul Prakash 001 (CoRR, 2019)

Efficient Adversarial Training With Transferable Adversarial Examples. - Haizhong Zheng; Ziqi Zhang 004; Juncheng Gu; Honglak Lee; Atul Prakash 001 (CVPR, 2020)

Understanding and Diagnosing Vulnerability under Adversarial Attacks. - Haizhong Zheng; Ziqi Zhang 004; Honglak Lee; Atul Prakash 001 (CoRR, 2020)

Coverage-centric Coreset Selection for High Pruning Rates. - Haizhong Zheng; Rui Liu; Fan Lai 001; Atul Prakash 001 (ICLR, 2023)

Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation. - Haizhong Zheng; Jiachen Sun; Shutong Wu; Bhavya Kailkhura; Z. Morley Mao; Chaowei Xiao; Atul Prakash 001 (ECCV (24), 2024)

CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. - Jiachen Sun; Haizhong Zheng; Qingzhao Zhang; Atul Prakash 001; Zhuoqing Mao 001; Chaowei Xiao (ICLR, 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 001; Atul Prakash 001 (NeurIPS, 2024)

Learn To be Efficient: Build Structured Sparsity in Large Language Models. - Haizhong Zheng; Xiaoyan Bai; Beidi Chen; Fan Lai 001; Atul Prakash 001 (CoRR, 2024)

Adaptive Skeleton Graph Decoding. - Shuowei Jin; Yongji Wu; Haizhong Zheng; Qingzhao Zhang; Matthew Lentz; Z. Morley Mao; Atul Prakash 001; Feng Qian 001; Danyang Zhuo (CoRR, 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 001 (CoRR, 2024)

ELFS: Label-Free Coreset Selection with Proxy Training Dynamics. - Haizhong Zheng; Elisa Tsai; Yifu Lu; Jiachen Sun; Brian R. Bartoldson; Bhavya Kailkhura; Atul Prakash 001 (ICLR, 2025)

Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale. - Elisa Tsai; Neal Mangaokar; Boyuan Zheng; Haizhong Zheng; Atul Prakash 001 (WWW, 2025)

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts. - Haizhong Zheng; Yang Zhou; Brian R. Bartoldson; Bhavya Kailkhura; Fan Lai 001; Jiawei Zhao; Beidi Chen (CoRR, 2025)

Kinetics: Rethinking Test-Time Scaling Laws. - Ranajoy Sadhukhan; Zhuoming Chen; Haizhong Zheng; Yang Zhou; Emma Strubell; Beidi Chen (CoRR, 2025)

Class-Proportional Coreset Selection for Difficulty-Separable Data. - Elisa Tsai; Haizhong Zheng; Atul Prakash 001 (CoRR, 2025)