Zhejian Yang

According to our database, Zhejian Yang authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

A degree-corrected stochastic block model for community discovery in signed networks with heterogeneous degree distributions.

Zhejian Yang, Yang Li, Bo Yu, Jifeng Hu, Hechang Chen

Pattern Recognit., 2026

TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction.

Zhejian Yang, Songwei Zhao, Zilin Zhao, Hechang Chen

Proceedings of the ACM Web Conference 2026, 2026

2025

Continual Diffuser (CoD): Mastering Continual Offline RL With Experience Rehearsal.

Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., December, 2025

EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios.

Songwei Zhao, Bo Yu, Sinuo Zhang, Zhejian Yang, Jifeng Hu, Philip S. Yu, Hechang Chen

IEEE Trans. Knowl. Data Eng., October, 2025

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents.

Zhejian Yang, Yongchao Chen, Xueyang Zhou, Jiangyue Yan, Dingjie Song, Yinuo Liu, Yuting Li, Yu Zhang, Pan Zhou, Hechang Chen, Lichao Sun

CoRR, May, 2025

A Survey on Post-training of Large Language Models.

Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao

CoRR, March, 2025

Towards Robust Multi-UAV Collaboration: MARL with Noise-Resilient Communication and Attention Mechanisms.

Zilin Zhao, Chishui Chen, Haotian Shi, Jiale Chen, Xuanlin Yue, Zhejian Yang, Yang Liu

CoRR, March, 2025

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.

Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Generalized multi-agent competitive reinforcement learning with differential augmentation.

Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang

Expert Syst. Appl., March, 2024

Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition.

Kang Yang, Zhiwei Yang, Songwei Zhao, Zhejian Yang, Sinuo Zhang, Hechang Chen

Knowl. Based Syst., 2024

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.

Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun

CoRR, 2024

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal.

Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao

CoRR, 2024

Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.

Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning.

Sinuo Zhang, Jifeng Hu, Xinqi Du, Zhejian Yang, Yang Yu, Hechang Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks.

Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen

Knowl. Based Syst., 2023