Taolin Zhang

According to our database, Taolin Zhang authored at least 22 papers between 2015 and 2024.

Collaborative distances:

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

2024

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.

Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng

ACM Trans. Knowl. Discov. Data, February, 2024

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models.

Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Longtao Huang, Hui Xue, Wei Zhang

CoRR, 2024

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding.

Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem.

Qian Chen, Taolin Zhang, Dongyang Li, Xiaofeng He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification.

Yanhu Li, Taolin Zhang, Dongyang Li, Xiaofeng He

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

OnMKD: An Online Mutual Knowledge Distillation Framework for Passage Retrieval.

Jiali Deng, Dongyang Li, Taolin Zhang, Xiaofeng He

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.

Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models.

Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.

Taolin Zhang, Chuan Chen, Yaomin Chang, Lin Shu, Zibin Zheng

CoRR, 2022

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training.

Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing.

Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction.

Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding.

Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction.

Shuangji Yang, Taolin Zhang, Danning Su, Nan Hu, Wei Nong, Xiaofeng He

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction.

Nan Hu, Taolin Zhang, Shuangji Yang, Wei Nong, Xiaofeng He

Proceedings of the Natural Language Processing and Chinese Computing, 2021

HfGCN: Hierarchical fused GCN for Joint Entity and Relation Extraction.

Wei Nong, Taolin Zhang, Shuangji Yang, Nan Hu, Xiaofeng He

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources.

Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining.

Zerui Cai, Taolin Zhang, Chengyu Wang, Xiaofeng He

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.

Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining.

Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He

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

2020

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.

Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He, Jun Huang

CoRR, 2020

2015

The influence of random slowdown process and lock-step effect on the fundamental diagram of the nonlinear pedestrian dynamics: An estimating-correction cellular automaton.

Zhijian Fu, Xiaodong Zhou, Yanqiu Chen, Junhui Gong, Fei Peng, Zidan Yan, Taolin Zhang, Lizhong Yang

Commun. Nonlinear Sci. Numer. Simul., 2015