I am currently a Ph.D. candidate majoring in artificial intelligence at the School of Artificial Intelligence, Jilin University (985, 211, Double 1st-Class), supervised by Prof. Hechang Chen. I am also a research intern at TikTok, ByteDance. My research interests lie in the fields of graph data mining, large language models, reinforcement learning, and embodied AI.
Research Outputs
- TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction
Zhejian Yang, Songwei Zhao, Zilin Zhao, and Hechang Chen
WWW'2026 - Coa-Tuning: Collaborative Adapter Ensembling with Prompt Enhancement for Class-Incremental Learning
Shengjie Wang, Jiuman Song, Zhejian Yang, Sinuo Zhang, and Hechang Chen
ACM Transactions on Computing for Healthcare (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, and Hechang Chen
Pattern Recognition (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, and Hechang Chen
IEEE Transactions on Knowledge and Data Engineering (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, and Dacheng Tao
NeurIPS'2025 - Tackling 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, and Lichao Sun
NeurIPS'2025 - 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
IEEE transactions on neural networks and learning systems (2025) - Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, and Bo Yang
NeurIPS'2024 - Generalized multi-agent competitive reinforcement learning with differential augmentation
Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, and Yi Chang
Expert Systems with Applications (2024) - Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition
Kang Yang, Zhiwei Yang, Songwei Zhao, Zhejian Yang, Sinuo Zhang, and Hechang Chen
Knowledge-Based Systems (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, and Hechang Chen
IJCNN'2024 - A Lightweight Data Selection Network for Image Classification via Policy Gradient
Yang Yu, Xinqi Du, Zhejian Yang, Sinuo Zhang, Hechang Chen, Bohao Qu, Jifeng Hu
ICONIP'2024 - SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks
Li, Yang, Bo Yang, Xuehua Zhao, Zhejian Yang, and Hechang Chen
Knowledge-Based Systems (2023) - S3BM: A Poisson-based Scalable Stochastic Block Model for Large-scale Signed Networks
Zhejian Yang, Bo Yu, Jifeng Hu, Sili Huang, Songwei Zhao, Sinuo Zhang, and Hechang Chen
(under review) - 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, and Lichao Sun
(under review) - VLoRA: Adapting Vision-Language Models for Multimodal Recommendation via Two-Stage Low-Rank Adaptation
Zhejian Yang, Yuxiang Zhou, Shisong Tang, Yan Li, Guangmou Pan, Sihong Xie, and Hechang Chen
(under review) - Unifying Modern AI with Robotics: Survey on MDPs with Diffusion and Foundation Models
Zhaofan Zhang†, Rufeng Chen†, Zhejian Yang†, Sihong Xie, Hechang Chen, and Hui Xiong
(under review) - 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*, and Yang Liu*
(under review) - 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, and Jianfeng Gao
(under review) - Trajectory Stitching Enhanced Experience Replay for Robust Continual Offline Reinforcement Learning
Yang Yu, Sinuo Zhang, Zhejian Yang, Jifeng Hu, and Hechang Chen
(under review) - Improving Safe Offline Reinforcement Learning via Dual-Guide Diffuser
Rufeng Chen, Zhaofan Zhang, Zhejian Yang, Hechang Chen, and Sihong Xie
(under review) - Automated Manipulation Learning
Yiteng Chen†, Chenjie Yang†, Zhejian Yang†, Liaoyuan Fan†, Renjie Guo, Wenbo Li, Peihao Chen, Lingwei Dang, Shenghe Qiu, Feng Xu, Guanren Qiao, Hechang Chen, Huiping Zhuang, and Qingyao Wu
(under review) - DeRail: Escaping Trajectory Priors via Counterfactual Action Steering for Mid-Execution Instruction Switching
Yitong Hong, Xiangdong Feng, Xiaoxi Sun, Senqiao Yang, Boyao Han, Zhejian Yang, Shiyang Zhou, Yongcai Wang, Pengguang Chen, Shu Liu, Li Jiang, Zhuotao Tian
(under review)
Awards
🏆 Second-class Scholarship
🏆 First-class Academic Scholarship
🏅 The First Prize of Jilin Mathematics Competitions
🏅 The Second Prize of Chinese Mathematics Competitions (Preliminary)
Service
👨🏫 2022/2023 semester 1, Machine Learning and Pattern Recognition I, TA
👨🏫 2023/2024 semester 1, Machine Learning and Pattern Recognition I, TA
👨🏫 Member of OpenLLMAI and OpenRLHF, 2023 - present
👨🏫 IJCAI and NeurIPS PC, 2024 - present