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ORCIDZhenyu Zhang 0006
Person information
- affiliation: Baidu Inc., Beijing, China
- affiliation (Ph.D.): Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
- unicode name: 张振宇
Other persons with the same name
- Zhenyu Zhang — disambiguation page
- Zhenyu Zhang 0001
![[0000-0001-8985-7083]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8985-7083")
— Chongqing University, College of Communication Engineering, China - Zhenyu Zhang 0002 — Chongqing University, State Key Laboratory of Coal Mine Disaster Dynamics and Control, China
- Zhenyu Zhang 0003 — Xiangtan University, Department of Mathematics and Computational Science, China
- Zhenyu Zhang 0004 — Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China (and 2 more)
- Zhenyu Zhang 0005 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Zhenyu Zhang 0007 — University of Science and Technology Beijing, Beijing, China
- Zhenyu Zhang 0008 — Zhejiang University, Hangzhou Shi, China
- Zhenyu Zhang 0009 — San Diego State University, Department of Computer Science, CA, USA (and 1 more)
- Zhenyu Zhang 0010 — Tongji University, School of Economics and Management, Shanghai, China
- Zhenyu Zhang 0011 — Xinjiang University, Xinjiang, Urumqi, China
- Zhenyu Zhang 0012 — Harbin Engineering University, Harbin, China
- Zhenyu Zhang 0013 — Shanghai University, School of Computer Engineering and Science, China
- Zhenyu Zhang 0014 — Beihang University, School of Electronic and Information Engineering, China (and 1 more)
- Zhenyu Zhang 0015 — University of Texas at Austin, TX, USA (and 1 more)
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2020 – today
- 2025
[c34]Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin:
Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search. KDD (1) 2025: 2596-2605- [i20]Naibin Gu, Zhenyu Zhang, Xiyu Liu, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang:
BeamLoRA: Beam-Constraint Low-Rank Adaptation. CoRR abs/2502.13604 (2025) - [i19]Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang:
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking. CoRR abs/2502.13842 (2025) - [i18]Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu:
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. CoRR abs/2503.17928 (2025) - 2024
- [c33]Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu:
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time. ACL (1) 2024: 7913-7926 - [c32]Yilong Chen, Junyuan Shang, Zhenyu Zhang, Shiyao Cui, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu:
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion. ACL (1) 2024: 8005-8019 - [c31]Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu:
LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. ECAI 2024: 1173-1180 - [i17]Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu:
HFT: Half Fine-Tuning for Large Language Models. CoRR abs/2404.18466 (2024) - [i16]Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun:
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion. CoRR abs/2406.06567 (2024) - [i15]Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu:
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment. CoRR abs/2407.19625 (2024) - [i14]Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu:
NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time. CoRR abs/2408.03675 (2024) - [i13]Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Yu Sun, Hua Wu, Sen Su:
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging. CoRR abs/2410.01610 (2024) - [i12]Chuanyu Tang, Yilong Chen, Zhenyu Zhang, Junyuan Shang, Wenyuan Zhang, Yong Huang, Tingwen Liu:
MoR: Mixture of Ranks for Low-Rank Adaptation Tuning. CoRR abs/2410.13408 (2024) - 2023
- [c30]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:
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts. CVPR 2023: 10135-10145 - [c29]Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu:
Enhancing Table Retrieval with Dual Graph Representations. ECML/PKDD (4) 2023: 107-123 - [c28]Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo:
Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. WWW 2023: 1683-1692 - [i11]Shiyao Cui, Zhenyu Zhang, Yilong Chen, Wenyuan Zhang, Tianyun Liu, Siqi Wang, Tingwen Liu:
FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity. CoRR abs/2311.18580 (2023) - 2022
- [c27]Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu:
Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. ACL (1) 2022: 1986-1996 - [c26]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:
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding. EMNLP (Findings) 2022: 3744-3756 - [c25]Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li:
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration. ACM Multimedia 2022: 7252-7260 - [i10]Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li:
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration. CoRR abs/2207.06717 (2022) - [i9]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:
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding. CoRR abs/2210.06155 (2022) - [i8]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:
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts. CoRR abs/2210.15257 (2022) - [i7]Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang:
Towards Generalized Open Information Extraction. CoRR abs/2211.15987 (2022) - 2021
- [c24]Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Mengge Xue, Tingwen Liu, Li Guo:
From What to Why: Improving Relation Extraction with Rationale Graph. ACL/IJCNLP (Findings) 2021: 86-95 - [c23]Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Zhenyu Zhang, Yanzeng Li, Jinqiao Shi:
Relation Extraction based on Data Partition and Representation Integration. DSC 2021: 68-75 - [c22]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (Findings) 2021: 1518-1529 - [c21]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (1) 2021: 10746-10757 - [c20]Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang:
Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction. ICASSP 2021: 7683-7687 - [c19]Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu:
NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction. ECML/PKDD (3) 2021: 580-595 - [c18]Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang:
Semi-Open Information Extraction. WWW 2021: 1661-1672 - [i6]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. CoRR abs/2110.04429 (2021) - 2020
- [c17]Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo:
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. AAAI 2020: 9620-9627 - [c16]Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Yubin Wang, Li Guo:
Document-level Relation Extraction with Dual-tier Heterogeneous Graph. COLING 2020: 1630-1641 - [c15]Bowen Yu, Mengge Xue, Zhenyu Zhang, Tingwen Liu, Yubin Wang, Bin Wang:
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction. COLING 2020: 3842-3852 - [c14]Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li:
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. ECAI 2020: 2282-2289 - [c13]Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi:
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. EMNLP (Findings) 2020: 2329-2339 - [c12]Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang:
Coarse-to-Fine Pre-training for Named Entity Recognition. EMNLP (1) 2020: 6345-6354 - [c11]Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li:
Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. IJCNN 2020: 1-8 - [c10]Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu:
DRG2vec: Learning Word Representations from Definition Relational Graph. IJCNN 2020: 1-9 - [c9]Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu:
BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph. IJCNN 2020: 1-8 - [c8]Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin:
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. PAKDD (1) 2020: 197-209 - [c7]Zhenyu Zhang, Bowen Yu, Tingwen Liu, Dong Wang:
Strong Baselines for Author Name Disambiguation with and Without Neural Networks. PAKDD (1) 2020: 369-381 - [c6]Yubin Wang, Zhenyu Zhang, Tingwen Liu, Li Guo:
SLGAT: Soft Labels Guided Graph Attention Networks. PAKDD (1) 2020: 512-523 - [c5]Yubin Wang, Zhenyu Zhang, Tingwen Liu, Hongbo Xu, Jingjing Wang, Li Guo:
Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks. WISE (1) 2020: 71-82 - [c4]Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang:
High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. WWW 2020: 640-650 - [i5]Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi:
Event Detection with Relation-Aware Graph Convolutional Neural Networks. CoRR abs/2002.10757 (2020) - [i4]Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin:
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. CoRR abs/2003.12754 (2020) - [i3]Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang:
Coarse-to-Fine Pre-training for Named Entity Recognition. CoRR abs/2010.08210 (2020)
2010 – 2019
- 2019
- [c3]Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li:
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. IJCAI 2019: 5401-5407 - [c2]Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu, Diying Li, Jinqiao Shi:
ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information. IJCNN 2019: 1-8 - [c1]Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. WWW 2019: 438-447 - [i2]Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. CoRR abs/1902.00330 (2019) - [i1]Bowen Yu, Zhenyu Zhang, Jianlin Su, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li:
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. CoRR abs/1909.04273 (2019)
Coauthor Index
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