Zhenyu Zhang

According to our database, Zhenyu Zhang authored at least 35 papers between 2019 and 2023.

Collaborative distances:

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

2023

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity.

Shiyao Cui, Zhenyu Zhang, Yilong Chen, Wenyuan Zhang, Tianyun Liu, Siqi Wang, Tingwen Liu

CoRR, 2023

Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings.

Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo

Proceedings of the ACM Web Conference 2023, 2023

Enhancing Table Retrieval with Dual Graph Representations.

Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts.

Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, Haifeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Generalized Open Information Extraction.

Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang

CoRR, 2022

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts.

Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2022

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding.

Qiming Peng, Yinxu Pan, Wenjin Wang, Bin Luo, Zhenyu Zhang, Zhengjie Huang, Teng Hu, Weichong Yin, Yongfeng Chen, Yin Zhang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

CoRR, 2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration.

Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li

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

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding.

Qiming Peng, Yinxu Pan, Wenjin Wang, Bin Luo, Zhenyu Zhang, Zhengjie Huang, Yuhui Cao, Weichong Yin, Yongfeng Chen, Yin Zhang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

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

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph.

Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Semi-Open Information Extraction.

Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction.

Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction.

Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.

Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Relation Extraction based on Data Partition and Representation Integration.

Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Zhenyu Zhang, Yanzeng Li, Jinqiao Shi

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

From What to Why: Improving Relation Extraction with Rationale Graph.

Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Mengge Xue, Tingwen Liu, Li Guo

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

2020

Event Detection with Relation-Aware Graph Convolutional Neural Networks.

Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi

CoRR, 2020

High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking.

Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks.

Yubin Wang, Zhenyu Zhang, Tingwen Liu, Hongbo Xu, Jingjing Wang, Li Guo

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

SLGAT: Soft Labels Guided Graph Attention Networks.

Yubin Wang, Zhenyu Zhang, Tingwen Liu, Li Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

HIN: Hierarchical Inference Network for Document-Level Relation Extraction.

Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Strong Baselines for Author Name Disambiguation with and Without Neural Networks.

Zhenyu Zhang, Bowen Yu, Tingwen Liu, Dong Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph.

Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

DRG2vec: Learning Word Representations from Definition Relational Graph.

Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population.

Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Coarse-to-Fine Pre-training for Named Entity Recognition.

Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.

Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.

Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Document-level Relation Extraction with Dual-tier Heterogeneous Graph.

Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Yubin Wang, Li Guo

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction.

Bowen Yu, Mengge Xue, Zhenyu Zhang, Tingwen Liu, Yubin Wang, Bin Wang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction.

Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.

Bowen Yu, Zhenyu Zhang, Jianlin Su, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li

CoRR, 2019

Joint Entity Linking with Deep Reinforcement Learning.

Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu

Proceedings of the World Wide Web Conference, 2019

ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information.

Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu, Diying Li, Jinqiao Shi

Proceedings of the International Joint Conference on Neural Networks, 2019

Beyond Word Attention: Using Segment Attention in Neural Relation Extraction.

Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li

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