Junyuan Shang

48 papers A* 6C 1Journal 34Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Hierarchical Cross-Modality Interaction for Unified Video-Text Retrieval Modeling.
MMM (2)
Tianshi Xu, Zhengzheng Sun, Yizheng Hu, Junyuan Shang, Si Wu
2026 J jnl
Mixture of Universal Experts: Scaling Virtual Width via Depth-Width Transformation.
CoRR
Yilong Chen, Naibin Gu, Junyuan Shang, Zhenyu Zhang, Yuchen Feng, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2026 J jnl
Sparse Growing Transformer: Training-Time Sparse Depth Allocation via Progressive Attention Looping.
CoRR
Yao Chen, Yilong Chen, Yinqi Yang, Junyuan Shang, Zhenyu Zhang, Zefeng Zhang, Shuaiyi Nie, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Tingwen Liu
2026 J jnl
VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction.
CoRR
Longbin Ji, Xiaoxiong Liu, Junyuan Shang, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 J jnl
BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption.
Expert Syst. Appl.
Wenlve Zhou, Zhiheng Zhou, Junyuan Shang, Chang Niu, Mingyue Zhang, Xiyuan Tao, Tianlei Wang
2025 — conf
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking.
ACL (1)
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 J jnl
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking.
CoRR
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 A* conf
Mixture of Hidden-Dimensions: Not All Hidden-States' Dimensions are Needed in Transformer.
ICML
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2024 J jnl
BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption.
CoRR
Wenlve Zhou, Zhiheng Zhou, Junyuan Shang, Chang Niu, Mingyue Zhang, Xiyuan Tao, Tianlei Wang
2024 J jnl
Consistent representation joint adaptive adjustment for incremental zero-shot learning.
Neurocomputing
Chang Niu, Junyuan Shang, Zhiheng Zhou, Junmei Yang
2024 A* conf
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion.
NeurIPS
Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun
2024 J jnl
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion.
CoRR
Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun
2024 J jnl
Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning.
Knowl. Based Syst.
Junyuan Shang, Chang Niu, Xiyuan Tao, Zhiheng Zhou, Junmei Yang
2024 J jnl
Graph-Based Semantic Embedding Refinement for Zero-Shot Remote Sensing Image Scene Classification.
IEEE Trans. Aerosp. Electron. Syst.
Junyuan Shang, Chang Niu, Wenlve Zhou, Zhiheng Zhou, Junmei Yang
2024 — conf
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion.
ACL (1)
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Shiyao Cui, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu
2024 J jnl
Mixture of Hidden-Dimensions Transformer.
CoRR
Yilong Chen, Junyuan Shang, Zhengyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2024 J jnl
MoR: Mixture of Ranks for Low-Rank Adaptation Tuning.
CoRR
Chuanyu Tang, Yilong Chen, Zhenyu Zhang, Junyuan Shang, Wenyuan Zhang, Yong Huang, Tingwen Liu
2024 — conf
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time.
ACL (1)
Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu
2024 J jnl
NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time.
CoRR
Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu
2024 J jnl
Superclass-aware visual feature disentangling for generalized zero-shot learning.
Expert Syst. Appl.
Chang Niu, Junyuan Shang, Zhiheng Zhou, Junmei Yang
2022 A* conf
Asymmetric Adversarial-based Feature Disentanglement Learning for Cross-Database Micro-Expression Recognition.
ACM Multimedia
Shiting Xu, Zhiheng Zhou, Junyuan Shang
2022 J jnl
Few-shot domain adaptation through compensation-guided progressive alignment and bias reduction.
Appl. Intell.
Junyuan Shang, Chang Niu, Junchu Huang, Zhiheng Zhou, Junmei Yang, Shiting Xu, Liu Yang
2022 J jnl
Inpainting Digital Dunhuang Murals with Structure-Guided Deep Network.
ACM Journal on Computing and Cultural Heritage
Zhiheng Zhou, Xinran Liu, Junyuan Shang, Junchu Huang, Zhihao Li, Haiping Jia
2022 J jnl
Label-guided heterogeneous domain adaptation.
Multim. Tools Appl.
Zhiheng Zhou, Yifan Wang, Chang Niu, Junyuan Shang
2022 J jnl
Unbiased feature generating for generalized zero-shot learning.
J. Vis. Commun. Image Represent.
Chang Niu, Junyuan Shang, Junchu Huang, Junmei Yang, Yuting Song, Zhiheng Zhou, Guoxu Zhou
2022 — conf
X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications.
SemEval@NAACL
Junyuan Shang, Shuohuan Wang, Yu Sun, Yanjun Yu, Yue Zhou, Li Xiang, Guixiu Yang
2022 J jnl
X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications.
CoRR
Junyuan Shang, Shuohuan Wang, Yu Sun, Yanjun Yu, Yue Zhou, Li Xiang, Guixiu Yang
2021 J jnl
Asymmetric alignment joint consistent regularization for multi-source domain adaptation.
Multim. Tools Appl.
Junyuan Shang, Chang Niu, Zhiheng Zhou, Junchu Huang, Zhiwei Yang, Xiangwei Li
2021 J jnl
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.
CoRR
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
2021 J jnl
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.
CoRR
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
2021 — conf
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer.
ACL/IJCNLP (1)
Siyu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
2021 J jnl
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.
Biomed. Signal Process. Control.
Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li
2020 J jnl
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence.
Sensors
Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie
2020 J jnl
Common-specific feature learning for multi-source domain adaptation.
IET Image Process.
Chang Niu, Junyuan Shang, Zhiheng Zhou, Junchu Huang, Tianlei Wang, Xiangwei Li
2020 J jnl
ERNIE-DOC: The Retrospective Long-Document Modeling Transformer.
CoRR
Siyu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
2020 J jnl
Heterogeneous domain adaptation with label and structural consistency.
Multim. Tools Appl.
Junchu Huang, Zhiheng Zhou, Junyuan Shang, Chang Niu
2020 J jnl
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.
Neurocomputing
Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li
2020 J jnl
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review.
CoRR
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
2020 J jnl
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.
Comput. Biol. Medicine
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
2019 A* conf
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
AAAI
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.
CoRR
Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun
2019 J jnl
Joint category-level and discriminative feature learning networks for unsupervised domain adaptation.
J. Intell. Fuzzy Syst.
Pengyu Zhang, Junchu Huang, Zhiheng Zhou, Zengqun Chen, Junyuan Shang, Chang Niu, Zhiwei Yang
2019 A* conf
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection.
IJCAI
Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie
2019 A* conf
Pre-training of Graph Augmented Transformers for Medication Recommendation.
IJCAI
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
2019 J jnl
Pre-training of Graph Augmented Transformers for Medication Recommendation.
CoRR
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
2018 J jnl
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
CoRR
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2018 C conf
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction.
ACML
Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li
2017 — conf
ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks.
CinC
Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie