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 002; Junqing Xie (CinC, 2017)

Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. - Junyuan Shang; Shenda Hong; Yuxi Zhou; Meng Wu; Hongyan Li 002 (ACML, 2018)

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. - Junyuan Shang; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (AAAI, 2019)

Pre-training of Graph Augmented Transformers for Medication Recommendation. - Junyuan Shang; Tengfei Ma 001; Cao Xiao; Jimeng Sun 001 (IJCAI, 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 002; Junqing Xie (IJCAI, 2019)

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. - Tengfei Ma 001; Junyuan Shang; Cao Xiao; Jimeng Sun 001 (CoRR, 2019)

Joint category-level and discriminative feature learning networks for unsupervised domain adaptation. - Pengyu Zhang; Junchu Huang; Zhiheng Zhou 001; Zengqun Chen; Junyuan Shang; Chang Niu; Zhiwei Yang (J. Intell. Fuzzy Syst., 2019)

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. - Shenda Hong; Yuxi Zhou; Junyuan Shang; Cao Xiao; Jimeng Sun 001 (Comput. Biol. Medicine, 2020)

Common-specific feature learning for multi-source domain adaptation. - Chang Niu; Junyuan Shang; Zhiheng Zhou 001; Junchu Huang; Tianlei Wang; Xiangwei Li (IET Image Process., 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 002 (Neurocomputing, 2020)

Heterogeneous domain adaptation with label and structural consistency. - Junchu Huang; Zhiheng Zhou 001; Junyuan Shang; Chang Niu (Multim. Tools Appl., 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 002; Junqing Xie (Sensors, 2020)

ERNIE-Doc: A Retrospective Long-Document Modeling Transformer. - Siyu Ding; Junyuan Shang; Shuohuan Wang; Yu Sun 004; Hao Tian 005; Hua Wu 003; Haifeng Wang 001 (ACL/IJCNLP (1), 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 002 (Biomed. Signal Process. Control., 2021)

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. - Yu Sun 004; Shuohuan Wang; Shikun Feng; Siyu Ding; Chao Pang; Junyuan Shang; Jiaxiang Liu 004; Xuyi Chen; Yanbin Zhao; Yuxiang Lu; Weixin Liu; Zhihua Wu; et al. (CoRR, 2021)

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. - Shuohuan Wang; Yu Sun 004; Yang Xiang; Zhihua Wu; Siyu Ding; Weibao Gong; Shikun Feng; Junyuan Shang; Yanbin Zhao; Chao Pang; Jiaxiang Liu 004; Xuyi Chen; et al. (CoRR, 2021)

Asymmetric alignment joint consistent regularization for multi-source domain adaptation. - Junyuan Shang; Chang Niu; Zhiheng Zhou 001; Junchu Huang; Zhiwei Yang; Xiangwei Li (Multim. Tools Appl., 2021)

Asymmetric Adversarial-based Feature Disentanglement Learning for Cross-Database Micro-Expression Recognition. - Shiting Xu; Zhiheng Zhou 001; Junyuan Shang (ACM Multimedia, 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 029; Yanjun Yu; Yue Zhou; Li Xiang; Guixiu Yang (SemEval@NAACL, 2022)

Few-shot domain adaptation through compensation-guided progressive alignment and bias reduction. - Junyuan Shang; Chang Niu; Junchu Huang; Zhiheng Zhou 001; Junmei Yang; Shiting Xu; Liu Yang (Appl. Intell., 2022)

Unbiased feature generating for generalized zero-shot learning. - Chang Niu; Junyuan Shang; Junchu Huang; Junmei Yang; Yuting Song; Zhiheng Zhou 001; Guoxu Zhou (J. Vis. Commun. Image Represent., 2022)

Label-guided heterogeneous domain adaptation. - Zhiheng Zhou 001; Yifan Wang; Chang Niu; Junyuan Shang (Multim. Tools Appl., 2022)

Inpainting Digital Dunhuang Murals with Structure-Guided Deep Network. - Zhiheng Zhou 001; Xinran Liu; Junyuan Shang; Junchu Huang; Zhihao Li; Haiping Jia (ACM Journal on Computing and Cultural Heritage, 2022)

LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion. - Yilong Chen; Junyuan Shang; Zhenyu Zhang 006; Shiyao Cui; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003 (ACL (1), 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 006; Tingwen Liu; Shuohuan Wang; Yu Sun; Dianhai Yu; Hua Wu 003 (ACL (1), 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 (NeurIPS, 2024)

DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion. - Yilong Chen; Linhao Zhang; Junyuan Shang; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun 029 (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 006; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Dianhai Yu; Hua Wu 003 (CoRR, 2024)

BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption. - Wenlve Zhou; Zhiheng Zhou; Junyuan Shang; Chang Niu; Mingyue Zhang; Xiyuan Tao; Tianlei Wang (CoRR, 2024)

MoR: Mixture of Ranks for Low-Rank Adaptation Tuning. - Chuanyu Tang; Yilong Chen; Zhenyu Zhang 006; Junyuan Shang; Wenyuan Zhang 002; Yong Huang; Tingwen Liu (CoRR, 2024)

Mixture of Hidden-Dimensions Transformer. - Yilong Chen; Junyuan Shang; Zhengyu Zhang; Jiawei Sheng; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003; Haifeng Wang 001 (CoRR, 2024)

Superclass-aware visual feature disentangling for generalized zero-shot learning. - Chang Niu; Junyuan Shang; Zhiheng Zhou 001; Junmei Yang (Expert Syst. Appl., 2024)

Consistent representation joint adaptive adjustment for incremental zero-shot learning. - Chang Niu; Junyuan Shang; Zhiheng Zhou 001; Junmei Yang (Neurocomputing, 2024)

Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning. - Junyuan Shang; Chang Niu; Xiyuan Tao; Zhiheng Zhou 001; Junmei Yang (Knowl. Based Syst., 2024)

Graph-Based Semantic Embedding Refinement for Zero-Shot Remote Sensing Image Scene Classification. - Junyuan Shang; Chang Niu; Wenlve Zhou; Zhiheng Zhou 001; Junmei Yang (IEEE Trans. Aerosp. Electron. Syst., 2024)

Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking. - Yilong Chen; Junyuan Shang; Zhenyu Zhang 006; Yanxi Xie; Jiawei Sheng; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003; Haifeng Wang 001 (ACL (1), 2025)

BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption. - Wenlve Zhou; Zhiheng Zhou 001; Junyuan Shang; Chang Niu; Mingyue Zhang; Xiyuan Tao; Tianlei Wang (Expert Syst. Appl., 2025)