Junyuan Shang

According to our database, Junyuan Shang authored at least 34 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption.

Wenlve Zhou, Zhiheng Zhou, Junyuan Shang, Chang Niu, Mingyue Zhang, Xiyuan Tao, Tianlei Wang

Expert Syst. Appl., 2025

2024

Graph-Based Semantic Embedding Refinement for Zero-Shot Remote Sensing Image Scene Classification.

Junyuan Shang, Chang Niu, Wenlve Zhou, Zhiheng Zhou, Junmei Yang

IEEE Trans. Aerosp. Electron. Syst., February, 2024

Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning.

Junyuan Shang, Chang Niu, Xiyuan Tao, Zhiheng Zhou, Junmei Yang

Knowl. Based Syst., 2024

Consistent representation joint adaptive adjustment for incremental zero-shot learning.

Chang Niu, Junyuan Shang, Zhiheng Zhou, Junmei Yang

Neurocomputing, 2024

Superclass-aware visual feature disentangling for generalized zero-shot learning.

Chang Niu, Junyuan Shang, Zhiheng Zhou, Junmei Yang

Expert Syst. Appl., 2024

Mixture of Hidden-Dimensions Transformer.

Yilong Chen, Junyuan Shang, Zhengyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang

CoRR, 2024

MoR: Mixture of Ranks for Low-Rank Adaptation Tuning.

Chuanyu Tang, Yilong Chen, Zhenyu Zhang, Junyuan Shang, Wenyuan Zhang, Yong Huang, Tingwen Liu

CoRR, 2024

NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time.

Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu

CoRR, 2024

DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion.

Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun

CoRR, 2024

NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time.

Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion.

Yilong Chen, Junyuan Shang, Zhenyu Zhang, Shiyao Cui, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

Inpainting Digital Dunhuang Murals with Structure-Guided Deep Network.

Zhiheng Zhou, Xinran Liu, Junyuan Shang, Junchu Huang, Zhihao Li, Haiping Jia

ACM Journal on Computing and Cultural Heritage, December, 2022

Label-guided heterogeneous domain adaptation.

Zhiheng Zhou, Yifan Wang, Chang Niu, Junyuan Shang

Multim. Tools Appl., 2022

Unbiased feature generating for generalized zero-shot learning.

Chang Niu, Junyuan Shang, Junchu Huang, Junmei Yang, Yuting Song, Zhiheng Zhou, Guoxu Zhou

J. Vis. Commun. Image Represent., 2022

Few-shot domain adaptation through compensation-guided progressive alignment and bias reduction.

Junyuan Shang, Chang Niu, Junchu Huang, Zhiheng Zhou, Junmei Yang, Shiting Xu, Liu Yang

Appl. Intell., 2022

X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications.

Junyuan Shang, Shuohuan Wang, Yu Sun, Yanjun Yu, Yue Zhou, Li Xiang, Guixiu Yang

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Asymmetric Adversarial-based Feature Disentanglement Learning for Cross-Database Micro-Expression Recognition.

Shiting Xu, Zhiheng Zhou, Junyuan Shang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Asymmetric alignment joint consistent regularization for multi-source domain adaptation.

Junyuan Shang, Chang Niu, Zhiheng Zhou, Junchu Huang, Zhiwei Yang, Xiangwei Li

Multim. Tools Appl., 2021

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Shuohuan Wang, Yu Sun, Yang Xiang, Zhihua Wu, Siyu Ding, Weibao Gong, Shikun Feng, Junyuan Shang, Yanbin Zhao, Chao Pang, Jiaxiang Liu, Xuyi Chen, Yuxiang Lu, Weixin Liu, Xi Wang, Yangfan Bai, Qiuliang Chen, Li Zhao, Shiyong Li, Peng Sun, Dianhai Yu, Yanjun Ma, Hao Tian, Hua Wu, Tian Wu, Wei Zeng, Ge Li, Wen Gao, Haifeng Wang

CoRR, 2021

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2021

Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.

Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li

Biomed. Signal Process. Control., 2021

ERNIE-Doc: A Retrospective Long-Document Modeling Transformer.

Siyu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence.

Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie

Sensors, 2020

Heterogeneous domain adaptation with label and structural consistency.

Junchu Huang, Zhiheng Zhou, Junyuan Shang, Chang Niu

Multim. Tools Appl., 2020

Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.

Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li

Neurocomputing, 2020

Common-specific feature learning for multi-source domain adaptation.

Chang Niu, Junyuan Shang, Zhiheng Zhou, Junchu Huang, Tianlei Wang, Xiangwei Li

IET Image Process., 2020

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.

Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun

Comput. Biol. Medicine, 2020

2019

Joint category-level and discriminative feature learning networks for unsupervised domain adaptation.

Pengyu Zhang, Junchu Huang, Zhiheng Zhou, Zengqun Chen, Junyuan Shang, Chang Niu, Zhiwei Yang

J. Intell. Fuzzy Syst., 2019

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.

Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun

CoRR, 2019

K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection.

Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Pre-training of Graph Augmented Transformers for Medication Recommendation.

Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.

Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction.

Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks.

Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie

Proceedings of the Computing in Cardiology, 2017