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ORCIDZhejian Yang
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2020 – today
- 2026
[j5]Zhejian Yang
, Yang Li, Bo Yu, Jifeng Hu, Hechang Chen:
A degree-corrected stochastic block model for community discovery in signed networks with heterogeneous degree distributions. Pattern Recognit. 171: 112285 (2026)- 2025
- [j4]Songwei Zhao, Bo Yu, Sinuo Zhang, Zhejian Yang, Jifeng Hu, Philip S. Yu, Hechang Chen:
EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios. IEEE Trans. Knowl. Data Eng. 37(10): 5852-5865 (2025) - [i8]Zilin Zhao, Chishui Chen, Haotian Shi, Jiale Chen, Xuanlin Yue, Zhejian Yang, Yang Liu:
Towards Robust Multi-UAV Collaboration: MARL with Noise-Resilient Communication and Attention Mechanisms. CoRR abs/2503.02913 (2025) - [i7]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:
A Survey on Post-training of Large Language Models. CoRR abs/2503.06072 (2025) - [i6]Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao:
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning. CoRR abs/2505.01822 (2025) - [i5]Zhejian Yang, Yongchao Chen, Xueyang Zhou, Jiangyue Yan, Dingjie Song, Yinuo Liu, Yuting Li, Yu Zhang, Pan Zhou, Hechang Chen, Lichao Sun:
Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents. CoRR abs/2505.23450 (2025) - 2024
- [j3]Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang:
Generalized multi-agent competitive reinforcement learning with differential augmentation. Expert Syst. Appl. 238(Part C): 121760 (2024) - [j2]Kang Yang, Zhiwei Yang, Songwei Zhao, Zhejian Yang, Sinuo Zhang, Hechang Chen:
Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition. Knowl. Based Syst. 296: 111762 (2024) - [c2]Sinuo Zhang, Jifeng Hu, Xinqi Du, Zhejian Yang, Yang Yu, Hechang Chen:
Effective State Space Exploration with Phase State Graph Generation and Goal-based Path Planning. IJCNN 2024: 1-9 - [c1]Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang:
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. NeurIPS 2024 - [i4]Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang:
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. CoRR abs/2406.00079 (2024) - [i3]Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao:
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. CoRR abs/2409.02512 (2024) - [i2]Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun:
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. CoRR abs/2410.15698 (2024) - 2023
- [j1]Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen:
SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks. Knowl. Based Syst. 259: 110068 (2023) - [i1]Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen:
SSBM: A Signed Stochastic Block Model for Multiple Structure Discovery in Large-Scale Exploratory Signed Networks. CoRR abs/2304.10955 (2023)
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