Fanjin Meng - RankMe

12 papers A* 1A 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-grained sparse attention transformer to enhance electronic nose detection performance. Pattern Recognit. Jinyue Zhang, Junqi Liu, Fanjin Meng, Xiangyu Zhang, Qinglun Zhang, Yan Shi
2025	J	`jnl`	BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling. CoRR Jiahui Gong, Jingtao Ding, Fanjin Meng, Chen Yang, Hong Chen, Zuojian Wang, Haisheng Lu, Yong Li
2025	J	`jnl`	MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning. CoRR Fanjin Meng, Yuan Yuan, Jingtao Ding, Jie Feng, Chonghua Han, Yong Li
2025	J	`jnl`	Toward large reasoning models: A survey of reinforced reasoning with large language models. Patterns 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
2025	J	`jnl`	Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. CoRR 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
2025	J	`jnl`	Tuning Language Models for Robust Prediction of Diverse User Behaviors. CoRR Fanjin Meng, Jingtao Ding, Jiahui Gong, Chen Yang, Hong Chen, Zuojian Wang, Haisheng Lu, Yong Li
2024	A*	`conf`	A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. KDD Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li
2024	J	`jnl`	A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. CoRR Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li
2021	—	`conf`	Incremental Forensics Snapshot of Digital Evidence Method Using Differencing Algorithm and Blockchain. BlockSys Fanjin Meng, Yong Ding, Dewei Chen, Fang Yuan, Zhenyu Li
2020	A	`conf`	Fast Bring-Up of an AI SoC through IEEE 1687 Integrating Embedded TAPs and IEEE 1500 Interfaces. ITC Haiying Ma, Ligang Lu, Haitao Qian, Jing Han, Xin Wen, Fanjin Meng, Rahul Singhal, Martin Keim, Yu Huang, Wu Yang
2019	—	`conf`	A Case Study of Testing Strategy for AI SoC. ITC-Asia Haiying Ma, Rui Guo, Quan Jing, Jing Han, Yu Huang, Rahul Singhal, Wu Yang, Xin Wen, Fanjin Meng
2018	—	`conf`	The test cost reduction benefits of combining a hierarchical DFT methodology with EDT channel sharing - A case study. DTIS Binghua Lu, Selina Sha, Jincheng Wang, Zhigao Zhang, Fanjin Meng, Dragon Hsu, Rick Fisette