Hanzhong Liang

According to our database, Hanzhong Liang authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

From Transactions to Exploits: Automated PoC Synthesis for Real-World DeFi Attacks.

Xing Su, Hao Wu, Hanzhong Liang, Yunlin Jiang, Yuxi Cheng, Yating Liu, Fengyuan Xu

CoRR, January, 2026

2025

ConneX: Automatically Resolving Transaction Opacity of Cross-Chain Bridges for Security Analysis.

Hanzhong Liang, Yue Duan, Xing Su, Xiao Li, Yating Liu, Yulong Tian, Fengyuan Xu, Sheng Zhong

CoRR, November, 2025

Embedding-based Retrieval in Multimodal Content Moderation.

Hanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu, Zhixin Zhang

CoRR, July, 2025

DiSCo: Towards Decompiling EVM Bytecode to Source Code using Large Language Models.

Xing Su, Hanzhong Liang, Hao Wu, Ben Niu, Fengyuan Xu, Sheng Zhong

Proc. ACM Softw. Eng., 2025

Video anomaly detection via pseudo-anomaly generation and multi-grained feature learning.

Haigang Deng, Qingyang Yang, Chengwei Li, Hanzhong Liang, Chuanxu Wang

J. Electronic Imaging, 2025

Embedding-based Retrieval in Multi-Modal Content Moderation.

Hanzhong Liang, Jinghao Shi, Xiang Shen, Zixuan Wang, Vera Wen, Ardalan Mehrani, Zhiqian Chen, Yifan Wu, Zhixin Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation.

Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen, Zhiqian Chen, Yifan Wu, Zhixin Zhang, Hongyu Xiong

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models.

Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Fengyuan Xu, Yunxin Liu, Sheng Zhong

IEEE Trans. Inf. Forensics Secur., 2024

2022

Automation Slicing and Testing for in-App Deep Learning Models.

Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Minghao Li, Fengyuan Xu, Yunxin Liu, Sheng Zhong

CoRR, 2022