Zhejian Yang

18 papers A* 2B 1Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A degree-corrected stochastic block model for community discovery in signed networks with heterogeneous degree distributions.
Pattern Recognit.
Zhejian Yang, Yang Li, Bo Yu, Jifeng Hu, Hechang Chen
2026 A* conf
TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction.
WWW
Zhejian Yang, Songwei Zhao, Zilin Zhao, Hechang Chen
2026 J jnl
TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction.
CoRR
Zhejian Yang, Songwei Zhao, Zilin Zhao, Hechang Chen
2025 J jnl
A Survey on Post-training of Large Language Models.
CoRR
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
2025 J jnl
Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents.
CoRR
Zhejian Yang, Yongchao Chen, Xueyang Zhou, Jiangyue Yan, Dingjie Song, Yinuo Liu, Yuting Li, Yu Zhang, Pan Zhou, Hechang Chen, Lichao Sun
2025 J jnl
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 J jnl
Continual Diffuser (CoD): Mastering Continual Offline RL With Experience Rehearsal.
IEEE Trans. Neural Networks Learn. Syst.
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 J jnl
EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios.
IEEE Trans. Knowl. Data Eng.
Songwei Zhao, Bo Yu, Sinuo Zhang, Zhejian Yang, Jifeng Hu, Philip S. Yu, Hechang Chen
2025 J jnl
Towards Robust Multi-UAV Collaboration: MARL with Noise-Resilient Communication and Attention Mechanisms.
CoRR
Zilin Zhao, Chishui Chen, Haotian Shi, JiaLe Chen, Xuanlin Yue, Zhejian Yang, Yang Liu
2024 J jnl
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal.
CoRR
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2024 A* conf
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.
NeurIPS
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024 J jnl
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.
CoRR
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024 B conf
Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning.
IJCNN
Sinuo Zhang, Jifeng Hu, Xinqi Du, Zhejian Yang, Yang Yu, Hechang Chen
2024 J jnl
Generalized multi-agent competitive reinforcement learning with differential augmentation.
Expert Syst. Appl.
Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang
2024 J jnl
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.
CoRR
Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun
2024 J jnl
Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition.
Knowl. Based Syst.
Kang Yang, Zhiwei Yang, Songwei Zhao, Zhejian Yang, Sinuo Zhang, Hechang Chen
2023 J jnl
SSBM: A Signed Stochastic Block Model for Multiple Structure Discovery in Large-Scale Exploratory Signed Networks.
CoRR
Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen
2023 J jnl
SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks.
Knowl. Based Syst.
Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen