Fanjin Meng

According to our database, Fanjin Meng authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation.

Fanjin Meng, Jingtao Ding, Nian Li, Yizhou Sun, Yong Li

CoRR, April, 2026

Fine-grained sparse attention transformer to enhance electronic nose detection performance.

Jinyue Zhang, Junqi Liu, Fanjin Meng, Xiangyu Zhang, Qinglun Zhang, Yan Shi

Pattern Recognit., 2026

2025

MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning.

Fanjin Meng, Yuan Yuan, Jingtao Ding, Jie Feng, Chonghua Han, Yong Li

CoRR, September, 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

CoRR, May, 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

CoRR, May, 2025

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li

CoRR, January, 2025

Toward large reasoning models: A survey of reinforced reasoning with large language models.

Fengli Xu, Qianyue Hao, Chenyang Shao, Zefang Zong, Yu Li, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Jie Feng, Chen Gao, Yong Li

Patterns, 2025

2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2021

Incremental Forensics Snapshot of Digital Evidence Method Using Differencing Algorithm and Blockchain.

Fanjin Meng, Yong Ding, Dewei Chen, Fang Yuan, Zhenyu Li

Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

2020

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, Wu Yang

Proceedings of the IEEE International Test Conference, 2020

2019

A Case Study of Testing Strategy for AI SoC.

Haiying Ma, Rui Guo, Quan Jing, Jing Han, Yu Huang, Rahul Singhal, Wu Yang, Xin Wen, Fanjin Meng

Proceedings of the IEEE International Test Conference in Asia, 2019

2018

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

Proceedings of the 13th International Conference on Design & Technology of Integrated Systems In Nanoscale Era, 2018