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Kejiao Li 0001

dblp:213/1470-1 · DBLP profile ↗
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3ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 since 2021Databases, data management, data science and information retrieval · 2 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Reinforcement learning · 50% Language models and text generation · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › large language model training › language model pretraining
large language model pretraining
1.012026
Reinforcement Learning on Pre-Training Data · ACL (1) 2026
YearPublicationVenuePosition
2026 Reinforcement Learning on Pre-Training Data
abstract
Siheng Li, Kejiao Li, Zenan Xu, Guanhua Huang, Kun Li, Haoyuan Wu, Wujiajia, Zihao Zheng, Chenchen Zhang, Kun Shi, Xue Gong, Qi Yi, Ruibin Xiong, Tingqiang Xu, Yuhao Jiang, Jianfeng Yan, Yuyuan Zeng, Guanghui Xu, Jinbao Xue, Zhijiang xu, Zheng Fang, Shuai LI, Qibin Liu, Xiaoxue Li, Zhuoyu Li, Yangyu Tao, Fei Gao, Cheng Jiang, Bochao Wang, Kai Liu, Jianchen Zhu, Wai Lam, Bo Zhou, Di Wang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Siheng Li, Kejiao Li 0001, Zenan Xu, Guanhua Huang, Haoyuan Wu, Qi Yi, Ruibin Xiong, Tingqiang Xu, Jianfeng Yan, Yuyuan Zeng, Jinbao Xue, Zhijiang Xu, Qibin Liu, Zhuoyu Li, Yangyu Tao, Bochao Wang, Kai Liu 0052, Jianchen Zhu, Wai Lam, Di Wang 0052
ACL (1)2
2021 Action Set Based Policy Optimization for Safe Power Grid Management
Hongsheng Zeng 0001, Yuecheng Liu, Kejiao Li 0001, Fan Wang 0021, Hao Tian 0005
ECML/PKDD (5)4
2017 An improved P2P file system scheme based on IPFS and Blockchain
abstract
IPFS [1] is a peer-to-peer version controlled filesystem that synthesizes learnings from many previous successful systems. IPFS combines a distributed Hash table, an incentivized block exchange, and a self-certifying namespace [1]. IPFS is a peer-to-peer hypermedia protocol to make the web faster, safer, and more open. According to the characteristics of IPFS, we propose an improved P2P file system scheme based on IPFS and Blockchain. We address the high-throughput problem for individual users in IPFS by introducing the role of content service providers. Consider data reliability and availability, storage overhead and other issues for service providers, we provide a novel zigzag-based storage model to improve the block storage model that IPFS provides. Moreover, we introduce blockchain to combine IPFS with this storage model. According to analysis, this proposed scheme can effectively solve the above problems.
Yongle Chen, Hui Li 0022, Kejiao Li 0001
IEEE BigData3