A Coordinated Two-Stages Virtual Network Embedding Algorithm Based on Reinforcement Learning. - Cong Wang 009; Fanghui Zheng; Sancheng Peng; Zejie Tian; Yujia Guo; Ying Yuan 001 (CBD, 2019)

SignRank: A Novel Random Walking Based Ranking Algorithm in Signed Networks. - Cong Wan; Yanhui Fang; Cong Wang 009; Yanxia Lv; Zejie Tian; Yun Wang (Wirel. Commun. Mob. Comput., 2019)

Modeling on virtual network embedding using reinforcement learning. - Cong Wang 009; Fanghui Zheng; Guangcong Zheng; Sancheng Peng; Zejie Tian; Yujia Guo; Guorui Li; Ying Yuan 001 (Concurr. Comput. Pract. Exp., 2020)

A Q-learning-based approach for virtual network embedding in data center. - Ying Yuan 001; Zejie Tian; Cong Wang 009; Fanghui Zheng; Yanxia Lv (Neural Comput. Appl., 2020)

BEKT: Deep Knowledge Tracing with Bidirectional Encoder Representations from Transformers. - Zejie Tian; Guangcong Zheng; Brendan Flanagan (ICCE, 2021)

A single-player Monte Carlo tree search method combined with node importance for virtual network embedding. - Guangcong Zheng; Cong Wang 009; Weijie Shao; Ying Yuan 001; Zejie Tian; Sancheng Peng; Ali Kashif Bashir; Shahid Mumtaz (Ann. des Télécommunications, 2021)

Automated Matching of Exercises with Knowledge components. - Zejie Tian; Brendan Flanagan; Yiling Dai; Hiroaki Ogata (ICCE, 2022)

A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises. - Brendan Flanagan; Zejie Tian; Taisei Yamauchi; Yiling Dai; Hiroaki Ogata (Res. Pract. Technol. Enhanc. Learn., 2024)

HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding. - Jiahe Zhao; Ruibing Hou; Zejie Tian; Hong Chang 001; Shiguang Shan (CoRR, 2025)