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Tao Shen
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Disan: Directional self-attention network for rnn/cnn-free language understanding
T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang
Thirty-Second AAAI Conference on Artificial Intelligence, 5446-5455, 2018
8472018
Multi-center federated learning: clients clustering for better personalization
G Long, M Xie, T Shen, T Zhou, X Wang, J Jiang
World Wide Web 26 (1), 481-500, 2022
275*2022
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
B Wang, T Shen, G Long, T Zhou, Y Wang, Y Chang
(WWW) The Web Conference 2021, 2021
1882021
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
T Shen, T Zhou, G Long, J Jiang, C Zhang
(ICLR) The International Conference on Learning Representations, 2018
1722018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
T Shen, T Zhou, G Long, J Jiang, S Wang, C Zhang
(IJCAI) International Joint Conference on Artificial Intelligence and the …, 2018
1502018
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
T Shen, X Geng, T Qin, D Guo, D Tang, N Duan, G Long, D Jiang
(EMNLP-IJCNLP) Conference on Empirical Methods in Natural Language …, 2019
912019
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
Y Li, G Long, T Shen, T Zhou, L Yao, H Huo, J Jiang
(AAAI) Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
882020
Federated learning for privacy-preserving open innovation future on digital health
G Long, T Shen, Y Tan, L Gerrard, A Clarke, J Jiang
Humanity Driven AI, 113-133, 2022
722022
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
T Shen, Y Mao, P He, G Long, A Trischler, W Chen
(EMNLP) Conference on Empirical Methods in Natural Language Processing, 2020
622020
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph
Y Zhou, X Geng, T Shen, W Zhang, D Jiang
(NAACL) Proceedings of the 2021 Conference of the North American Chapter of …, 2021
392021
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
T Shen, X Geng, G Long, J Jiang, C Zhang, D Jiang
(IJCAI-PRICAI) The 29th International Joint Conference on Artificial …, 2020
32*2020
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
T Shen, X Geng, C Tao, C Xu, X Huang, B Jiao, L Yang, D Jiang
(ICLR) Eleventh International Conference on Learning Representations, 2023
302023
Temporal Self-Attention Network for Medical Concept Embedding
X Peng, G Long, T Shen, S Wang, J Jiang, M Blumenstein
(ICDM) 19th IEEE International Conference on Data Mining, 2019
262019
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification
Y Zhou, T Shen, X Geng, G Long, D Jiang
(ACL) 60th Annual Meeting of the Association for Computational Linguistics, 2022
232022
Large Language Models are Strong Zero-Shot Retriever
T Shen, G Long, X Geng, C Tao, T Zhou, D Jiang
(ACL-findings) The 62nd Annual Meeting of the Association for Computational …, 2024
222024
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
S Chen, G Long, T Shen, J Jiang
(IJCAI) The 32nd International Joint Conference on Artificial Intelligence, 2023
222023
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
Q Wu, C Tao, T Shen, C Xu, X Geng, D Jiang
(EMNLP) The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
222022
Sequential Diagnosis Prediction with Transformer and Ontological Representation
X Peng, G Long, T Shen, S Wang, J Jiang
(ICDM) 19th IEEE International Conference on Data Mining, 2021
222021
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval
K Zhang, C Tao, T Shen, C Xu, X Geng, B Jiao, D Jiang
(WWW) International World Wide Web Conference 2023, 2023
202023
Domain-specific meta-embedding with latent semantic structures
Q Liu, J Lu, G Zhang, T Shen, Z Zhang, H Huang
Information Sciences, 2021
202021
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