The test cost reduction benefits of combining a hierarchical DFT methodology with EDT channel sharing - A case study. - Binghua Lu; Selina Sha; Jincheng Wang; Zhigao Zhang; Fanjin Meng; Dragon Hsu; Rick Fisette (DTIS, 2018)

A Case Study of Testing Strategy for AI SoC. - Haiying Ma; Rui Guo; Quan Jing; Jing Han; Yu Huang 005; Rahul Singhal; Wu Yang; Xin Wen; Fanjin Meng (ITC-Asia, 2019)

Fast Bring-Up of an AI SoC through IEEE 1687 Integrating Embedded TAPs and IEEE 1500 Interfaces. - Haiying Ma; Ligang Lu; Haitao Qian; Jing Han; Xin Wen; Fanjin Meng; Rahul Singhal; Martin Keim; Yu Huang 005; Wu Yang (ITC, 2020)

Incremental Forensics Snapshot of Digital Evidence Method Using Differencing Algorithm and Blockchain. - Fanjin Meng; Yong Ding 005; Dewei Chen; Fang Yuan; Zhenyu Li (BlockSys, 2021)

A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. - Jiahui Gong; Jingtao Ding; Fanjin Meng; Guilong Chen; Hong Chen; Shen Zhao; Haisheng Lu; Yong Li 008 (KDD, 2024)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. - Fengli Xu; Qianyue Hao; Zefang Zong; Jingwei Wang 002; Yunke Zhang; Jingyi Wang 002; Xiaochong Lan; Jiahui Gong; Tianjian Ouyang; Fanjin Meng; Chenyang Shao; Yuwei Yan; et al. (CoRR, 2025)

BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling. - Jiahui Gong; Jingtao Ding; Fanjin Meng; Chen Yang; Hong Chen; Zuojian Wang; Haisheng Lu; Yong Li 008 (CoRR, 2025)

Tuning Language Models for Robust Prediction of Diverse User Behaviors. - Fanjin Meng; Jingtao Ding; Jiahui Gong; Chen Yang; Hong Chen; Zuojian Wang; Haisheng Lu; Yong Li 008 (CoRR, 2025)