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ORCIDShuai Lyu
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2020 – today
- 2026
[j6]Shuai Lyu, Yu-Fan Yao
, Yan-Hui Sun, Wen-Tiao Wu, Wei Hu:
Model Knowledge Transfer for Ab Initio Molecular Dynamics Simulations. J. Comput. Sci. Technol. 41(2): 698-709 (2026)- [c7]Kaiwen Xue, Chenglong Li, Zhonghong Ou, Guoxin Zhang, Kaoyan Lu, Shuai Lyu, Yifan Zhu, Ping Zong, Junpeng Ding, Xinyu Liu, Qunlin Chen, Weiwei Qin, Yiran Shen, Jiayi Cen:
CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product. AAAI 2026: 27441-27449 - [i8]Yu Feng, Zhen Tian, Haoran Luo, Xie Yu, Diancheng Cheng, Haoyue Zheng, Shuai Lyu, Ping Zong, Lianyuan Li, Xin Ge, Yifan Zhu:
HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning. CoRR abs/2605.05776 (2026) - [i7]Glenn Jocher, Jing Qiu, Mengyu Liu, Shuai Lyu, Fatih Cagatay Akyon, Muhammet Esat Kalfaoglu:
Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models. CoRR abs/2606.03748 (2026) - 2025
- [j5]Zijing Tian, Zhonghong Ou, Yifan Zhu, Shuai Lyu, Hanyu Zhang, Jinghua Xiao, Meina Song:
Multi-SEA: Multi-stage Semantic Enhancement and Aggregation for image-text retrieval. Inf. Process. Manag. 62(5): 104165 (2025) - [j4]Rongchen Zhang, Wai Keung Wong, Shuai Lyu:
MLDF: Multi-scale local descriptors fusion for lace fabric image retrieval. Knowl. Based Syst. 330: 114777 (2025) - [c6]Shuai Lyu, Rongchen Zhang, Zeqi Ma, Fangjian Liao, Dongmei Mo, Waikeung Wong:
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context. AAAI 2025: 5937-5945 - [c5]Zhonghong Ou, Xiao Zhang, Yifan Zhu, Shuai Lyu, Jiahao Liu, Tu Ao:
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation. AAAI 2025: 12426-12434 - [c4]Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song:
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval. AAAI 2025: 19269-19277 - [c3]Xingyi Li, Yiran Zhang, Shuai Lyu, Shangguang Wang:
Load Balancing for LLM Traffic via Flow Block. LCN 2025: 1-9 - [i6]Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song:
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval. CoRR abs/2501.10935 (2025) - [i5]Shuai Lyu, Haoran Luo, Zhonghong Ou, Yifan Zhu, Xiaoran Shang, Yang Qin, Meina Song:
SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL. CoRR abs/2502.11741 (2025) - [i4]Kaiwen Xue, Chenglong Li, Zhonghong Ou, Guoxin Zhang, Kaoyan Lu, Shuai Lyu, Yifan Zhu, Ping Zong, Junpeng Ding, Xinyu Liu, Qunlin Chen, Weiwei Qin, Yiran Shen, Jiayi Cen:
CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product. CoRR abs/2511.13626 (2025) - 2024
- [j3]Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang, Xianbin Wang:
Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. IEEE Commun. Lett. 28(11): 2623-2627 (2024) - [j2]Shuai Lyu, Dongmei Mo, Wai Keung Wong:
REB: Reducing biases in representation for industrial anomaly detection. Knowl. Based Syst. 290: 111563 (2024) - [j1]Shuai Lyu, Limei Peng, Shih Yu Chang:
Investigating Large-Scale RIS-Assisted Wireless Communications Using GNN. IEEE Trans. Consumer Electron. 70(1): 811-818 (2024) - [i3]Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang, Xianbin Wang:
Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. CoRR abs/2405.00135 (2024) - [i2]Shuai Lyu, Fangjian Liao, Zeqi Ma, Rongchen Zhang, Dongmei Mo, Waikeung Wong:
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context. CoRR abs/2412.16897 (2024) - 2023
- [i1]Shuai Lyu, Dongmei Mo, Waikeung Wong:
REB: Reducing Biases in Representation for Industrial Anomaly Detection. CoRR abs/2308.12577 (2023) - 2022
- [c2]Ke Zhao, Haoran Mei, Shuai Lyu, Limei Peng:
Joint Optimization of Multiple UAV-mounted RISs Deployment and RIS Elements Allocation. ICTC 2022: 1193-1197 - [c1]Shuai Lyu, Haoran Mei, Limei Peng, Shih Yu Chang, Jian Mo:
Multivariate-aided Power-consumption Prediction Based on LSTM-Kalman Filter. NaNA 2022: 545-549
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