Haizhong Zheng

According to our database, Haizhong Zheng authored at least 32 papers between 2014 and 2026.

Collaborative distances:

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

2026

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs.

Haizhong Zheng, Yizhuo Di, Jiahui Wang, Shuowei Jin, Xueshen Liu, Yongji Wu, Z. Morley Mao, Ion Stoica, Jiawei Zhao, Beidi Chen

CoRR, May, 2026

The Last Human-Written Paper: Agent-Native Research Artifacts.

Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si, Ao Qu, Xiangru Tang, Runyu Lu, Lichang Chen, Xiaoyan Bai, Haizhong Zheng, Carl Chen, Zhiyang Chen, Haojie Ye, Yujuan Fu, Zexue He, Zijian Jin, Zhenyu Zhang, Shangquan Sun, Maestro Harmon, John Dianzhuo Wang, Jianqiao Zeng, Jiachen Sun, Mingyuan Wu, Baoyu Zhou, Chenyu You, Shijian Lu, Yiming Qiu, Fan Lai, Yuan Yuan, Yao Li, Junyuan Hong, Ruihao Zhu, Beidi Chen, Alex Pentland, Ang Chen, Mosharaf Chowdhury, Zechen Zhang

CoRR, April, 2026

MonarchRT: Efficient Attention for Real-Time Video Generation.

Krish Agarwal, Zhuoming Chen, Cheng Luo, Yongqi Chen, Haizhong Zheng, Xun Huang, Atri Rudra, Beidi Chen

CoRR, February, 2026

Jackpot: Optimal Budgeted Rejection Sampling for Extreme Actor-Policy Mismatch Reinforcement Learning.

Zhuoming Chen, Hongyi Liu, Yang Zhou, Haizhong Zheng, Beidi Chen

CoRR, February, 2026

RLBoost: Harvesting Preemptible Cloud Resources for Cost-Efficient Reinforcement Learning on LLMs.

Yongji Wu, Xueshen Liu, Haizhong Zheng, Juncheng Gu, Beidi Chen, Z. Morley Mao, Arvind Krishnamurthy, Ion Stoica

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

EchoScriptor: Automatic Lifelogging Narratives via Activity-Based Audio-Language Model.

Kaylee Yaxuan Li, Xinghao Zhou, Haizhong Zheng, Kang G. Shin, Alanson P. Sample

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Wave: Leveraging Architecture Observation for Privacy-Preserving Model Oversight.

Haoxuan Xu, Chen Gong, Beijie Liu, Haizhong Zheng, Beidi Chen, Mengyuan Li

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?

Yibo Peng, James Song, Lei Li, Xinyu Yang, Mihai Christodorescu, Ravi Mangal, Corina S. Pasareanu, Haizhong Zheng, Beidi Chen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs.

Yongji Wu, Xueshen Liu, Haizhong Zheng, Juncheng Gu, Beidi Chen, Z. Morley Mao, Arvind Krishnamurthy, Ion Stoica

CoRR, October, 2025

XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation.

Udbhav Bamba, Minghao Fang, Yifan Yu, Haizhong Zheng, Fan Lai

CoRR, October, 2025

Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?

Haizhong Zheng, Jiawei Zhao, Beidi Chen

CoRR, October, 2025

OPPO: Accelerating PPO-based RLHF via Pipeline Overlap.

Kaizhuo Yan, Yingjie Yu, Yifan Yu, Haizhong Zheng, Fan Lai

CoRR, September, 2025

Kinetics: Rethinking Test-Time Scaling Laws.

Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng, Yang Zhou, Emma Strubell, Beidi Chen

CoRR, June, 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

Proceedings of the ACM on Web Conference 2025, 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, Jiawei Zhao, Beidi Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Kinetics: Rethinking Test-Time Scaling Law.

Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng, Beidi Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ELFS: Label-Free Coreset Selection with Proxy Training Dynamics.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Class-Proportional Coreset Selection for Difficulty-Separable Data.

Elisa Tsai, Haizhong Zheng, Atul Prakash

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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 37: 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