Haizhong Zheng

35 papers A* 8B 1C 1Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
EchoScriptor: Automatic Lifelogging Narratives via Activity-Based Audio-Language Model.
CHI
Kaylee Yaxuan Li, Xinghao Zhou, Haizhong Zheng, Kang G. Shin, Alanson P. Sample
2026 J jnl
Jackpot: Optimal Budgeted Rejection Sampling for Extreme Actor-Policy Mismatch Reinforcement Learning.
CoRR
Zhuoming Chen, Hongyi Liu, Yang Zhou, Haizhong Zheng, Beidi Chen
2026 J jnl
MonarchRT: Efficient Attention for Real-Time Video Generation.
CoRR
Krish Agarwal, Zhuoming Chen, Cheng Luo, Yongqi Chen, Haizhong Zheng, Xun Huang, Atri Rudra, Beidi Chen
2026 — conf
Wave: Leveraging Architecture Observation for Privacy-Preserving Model Oversight.
ASPLOS (2)
Haoxuan Xu, Chen Gong, Beijie Liu, Haizhong Zheng, Beidi Chen, Mengyuan Li
2025 J jnl
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts.
CoRR
Haizhong Zheng, Yang Zhou, Brian R. Bartoldson, Bhavya Kailkhura, Fan Lai, Jiawei Zhao, Beidi Chen
2025 — conf
Class-Proportional Coreset Selection for Difficulty-Separable Data.
ICCVW
Elisa Tsai, Haizhong Zheng, Atul Prakash
2025 J jnl
Class-Proportional Coreset Selection for Difficulty-Separable Data.
CoRR
Elisa Tsai, Haizhong Zheng, Atul Prakash
2025 A* conf
ELFS: Label-Free Coreset Selection with Proxy Training Dynamics.
ICLR
Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash
2025 A* conf
Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale.
WWW
Elisa Tsai, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash
2025 J jnl
Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale.
CoRR
Elisa Tsai, Neal Mangaokar, Boyuan Zheng, Haizhong Zheng, Atul Prakash
2025 J jnl
Kinetics: Rethinking Test-Time Scaling Laws.
CoRR
Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng, Yang Zhou, Emma Strubell, Beidi Chen
2025 J jnl
OPPO: Accelerating PPO-based RLHF via Pipeline Overlap.
CoRR
Kaizhuo Yan, Yingjie Yu, Yifan Yu, Haizhong Zheng, Fan Lai
2025 J jnl
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
CoRR
Haizhong Zheng, Jiawei Zhao, Beidi Chen
2025 J jnl
RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs.
CoRR
Yongji Wu, Xueshen Liu, Haizhong Zheng, Juncheng Gu, Beidi Chen, Z. Morley Mao, Arvind Krishnamurthy, Ion Stoica
2025 J jnl
When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?
CoRR
Yibo Peng, James Song, Lei Li, Xinyu Yang, Mihai Christodorescu, Ravi Mangal, Corina S. Pasareanu, Haizhong Zheng, Beidi Chen
2025 J jnl
XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation.
CoRR
Udbhav Bamba, Minghao Fang, Yifan Yu, Haizhong Zheng, Fan Lai
2024 J jnl
Adaptive Skeleton Graph Decoding.
CoRR
Shuowei Jin, Yongji Wu, Haizhong Zheng, Qingzhao Zhang, Matthew Lentz, Z. Morley Mao, Atul Prakash, Feng Qian, Danyang Zhuo
2024 A* conf
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception.
ICLR
Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Zhuoqing Mao, Chaowei Xiao
2024 J jnl
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling.
CoRR
Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian R. Bartoldson, Bhavya Kailkhura, Atul Prakash
2024 A* conf
Learn To be Efficient: Build Structured Sparsity in Large Language Models.
NeurIPS
Haizhong Zheng, Xiaoyan Bai, Xueshen Liu, Zhuoqing Morley Mao, Beidi Chen, Fan Lai, Atul Prakash
2024 J jnl
Learn To be Efficient: Build Structured Sparsity in Large Language Models.
CoRR
Haizhong Zheng, Xiaoyan Bai, Beidi Chen, Fan Lai, Atul Prakash
2024 — conf
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation.
ECCV (24)
Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Z. Morley Mao, Chaowei Xiao, Atul Prakash
2023 J jnl
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception.
CoRR
Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Z. Morley Mao, Chaowei Xiao
2023 A* conf
Coverage-centric Coreset Selection for High Pruning Rates.
ICLR
Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash
2023 J jnl
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation.
CoRR
Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Zhuoqing Mao, Chaowei Xiao, Atul Prakash
2022 J jnl
Coverage-centric Coreset Selection for High Pruning Rates.
CoRR
Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash
2020 A* conf
Efficient Adversarial Training With Transferable Adversarial Examples.
CVPR
Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash
2020 J jnl
Understanding and Diagnosing Vulnerability under Adversarial Attacks.
CoRR
Haizhong Zheng, Ziqi Zhang, Honglak Lee, Atul Prakash
2019 J jnl
Analyzing the Interpretability Robustness of Self-Explaining Models.
CoRR
Haizhong Zheng, Earlence Fernandes, Atul Prakash
2019 J jnl
Efficient Adversarial Training with Transferable Adversarial Examples.
CoRR
Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash
2019 J jnl
Robust Classification using Robust Feature Augmentation.
CoRR
Kevin Eykholt, Swati Gupta, Atul Prakash, Haizhong Zheng
2018 A* conf
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks.
NDSS
Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross
2017 C conf
Fake reviews tell no tales? Dissecting click farming in content-generated social networks.
ICCC
Haizhong Zheng, Neng Li, Minhui Xue, Suguo Du, Haojin Zhu
2017 J jnl
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks.
CoRR
Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross
2014 B conf
You are where you have been: Sybil detection via geo-location analysis in OSNs.
GLOBECOM
Xiaokuan Zhang, Haizhong Zheng, Xiaolong Li, Suguo Du, Haojin Zhu