Automation Slicing and Testing for in-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Minghao Li 003; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (CoRR, 2022)

TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 2024)

Embedding-based Retrieval in Multi-Modal Content Moderation. - Hanzhong Liang; Jinghao Shi; Xiang Shen 001; Zixuan Wang; Vera Wen; Ardalan Mehrani; Zhiqian Chen; Yifan Wu; Zhixin Zhang (SIGIR, 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)

DiSCo: Towards Decompiling EVM Bytecode to Source Code using Large Language Models. - Xing Su; Hanzhong Liang; Hao Wu 067; Ben Niu 001; Fengyuan Xu; Sheng Zhong 002 (Proc. ACM Softw. Eng., 2025)

Embedding-based Retrieval in Multimodal Content Moderation. - Hanzhong Liang; Jinghao Shi; Xiang Shen 001; Zixuan Wang; Vera Wen; Ardalan Mehrani; Zhiqian Chen; Yifan Wu; Zhixin Zhang (CoRR, 2025)

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation. - Zixuan Wang; Jinghao Shi; Hanzhong Liang; Xiang Shen 001; Vera Wen; Zhiqian Chen; Yifan Wu; Zhixin Zhang; Hongyu Xiong (CoRR, 2025)