Detecting Missed Security Operations Through Differential Checking of Object-based Similar Paths. - Dinghao Liu; Qiushi Wu; Shouling Ji; Kangjie Lu; Zhenguang Liu; Jianhai Chen; Qinming He (CCS, 2021)

Non-Distinguishable Inconsistencies as a Deterministic Oracle for Detecting Security Bugs. - Qingyang Zhou; Qiushi Wu; Dinghao Liu; Shouling Ji; Kangjie Lu (CCS, 2022)

Improving Indirect-Call Analysis in LLVM with Type and Data-Flow Co-Analysis. - Dinghao Liu; Shouling Ji; Kangjie Lu; Qinming He (USENIX Security Symposium, 2024)

Detecting Kernel Memory Bugs through Inconsistent Memory Management Intention Inferences. - Dinghao Liu; Zhipeng Lu 001; Shouling Ji; Kangjie Lu; Jianhai Chen; Zhenguang Liu; Dexin Liu; Renyi Cai; Qinming He (USENIX Security Symposium, 2024)

STNGS: a deep scaffold learning-driven generation and screening framework for discovering potential novel psychoactive substances. - Dongping Liu; Dinghao Liu; Kewei Sheng; Zhenyong Cheng; Zixuan Liu; Yanling Qiao; Shangxuan Cai; Yulong Li; Jubo Wang; Hongyang Chen; Chi Hu; Peng Xu; et al. (Briefings Bioinform., 2024)

Self-Training-Transductive-Learning Broad Learning System (STTL-BLS): A model for effective and efficient image classification. - Lin Yi; Di Lv; Dinghao Liu; Suhuan Li; Ran Liu 006 (Pattern Recognit., 2024)