Zhenyu Zhang

69 papers A* 11A 2B 6Misc 1Journal 28Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mixture of Universal Experts: Scaling Virtual Width via Depth-Width Transformation.
CoRR
Yilong Chen, Naibin Gu, Junyuan Shang, Zhenyu Zhang, Yuchen Feng, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2026 J jnl
Sparse Growing Transformer: Training-Time Sparse Depth Allocation via Progressive Attention Looping.
CoRR
Yao Chen, Yilong Chen, Yinqi Yang, Junyuan Shang, Zhenyu Zhang, Zefeng Zhang, Shuaiyi Nie, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Tingwen Liu
2025 J jnl
Advantageous Parameter Expansion Training Makes Better Large Language Models.
CoRR
Naibin Gu, Yilong Chen, Zhenyu Zhang, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025 — conf
BeamLoRA: Beam-Constraint Low-Rank Adaptation.
ACL (1)
Naibin Gu, Zhenyu Zhang, Xiyu Liu, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025 J jnl
BeamLoRA: Beam-Constraint Low-Rank Adaptation.
CoRR
Naibin Gu, Zhenyu Zhang, Xiyu Liu, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025 J jnl
Blink: Dynamic Visual Token Resolution for Enhanced Multimodal Understanding.
CoRR
Yuchen Feng, Zhenyu Zhang, Naibin Gu, Yilong Chen, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025 J jnl
COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence.
CoRR
Zefeng Zhang, Xiangzhao Hao, Hengzhu Tang, Zhenyu Zhang, Jiawei Sheng, Xiaodong Li, Zhenyang Li, Li Gao, Daiting Shi, Dawei Yin, Tingwen Liu
2025 A* conf
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization.
CVPR
Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu
2025 J jnl
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization.
CoRR
Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu
2025 J jnl
Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts.
CoRR
Naibin Gu, Zhenyu Zhang, Yuchen Feng, Yilong Chen, Peng Fu, Zheng Lin, Shuohuan Wang, Yu Sun, Hua Wu, Weiping Wang, Haifeng Wang
2025 — conf
HFT: Half Fine-Tuning for Large Language Models.
ACL (1)
Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu
2025 — conf
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking.
ACL (1)
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 J jnl
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking.
CoRR
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 A* conf
Mixture of Hidden-Dimensions: Not All Hidden-States' Dimensions are Needed in Transformer.
ICML
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 — conf
Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search.
KDD (1)
Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin
2025 J jnl
Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search.
CoRR
Hengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin
2025 — conf
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging.
ACL (1)
Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Yu Sun, Hua Wu, Sen Su
2025 J jnl
V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention.
CoRR
Nan Sun, Zhenyu Zhang, Xixun Lin, Kun Wang, Yanmin Shang, Naibin Gu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Yanan Cao
2024 A* conf
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion.
NeurIPS
Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun
2024 J jnl
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion.
CoRR
Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun
2024 J jnl
HFT: Half Fine-Tuning for Large Language Models.
CoRR
Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu
2024 — conf
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion.
ACL (1)
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Shiyao Cui, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu
2024 A conf
LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment.
ECAI
Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu
2024 J jnl
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment.
CoRR
Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu
2024 J jnl
MoR: Mixture of Ranks for Low-Rank Adaptation Tuning.
CoRR
Chuanyu Tang, Yilong Chen, Zhenyu Zhang, Junyuan Shang, Wenyuan Zhang, Yong Huang, Tingwen Liu
2024 — conf
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time.
ACL (1)
Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu
2024 J jnl
NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time.
CoRR
Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu
2024 J jnl
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging.
CoRR
Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Yu Sun, Hua Wu, Sen Su
2023 A* conf
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts.
CVPR
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
2023 — conf
Enhancing Table Retrieval with Dual Graph Representations.
ECML/PKDD (4)
Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu
2023 J jnl
FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity.
CoRR
Shiyao Cui, Zhenyu Zhang, Yilong Chen, Wenyuan Zhang, Tianyun Liu, Siqi Wang, Tingwen Liu
2023 A* conf
Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings.
WWW
Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo
2022 — conf
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding.
EMNLP (Findings)
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
2022 J jnl
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding.
CoRR
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
2022 J jnl
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts.
CoRR
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
2022 — conf
Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph.
ACL (1)
Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu
2022 A* conf
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration.
ACM Multimedia
Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li
2022 J jnl
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration.
CoRR
Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li
2022 J jnl
Towards Generalized Open Information Extraction.
CoRR
Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang
2021 — conf
From What to Why: Improving Relation Extraction with Rationale Graph.
ACL/IJCNLP (Findings)
Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Mengge Xue, Tingwen Liu, Li Guo
2021 — conf
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.
EMNLP (Findings)
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2021 — conf
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.
EMNLP (1)
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2021 J jnl
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.
CoRR
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2021 Misc conf
Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction.
ICASSP
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang
2021 — conf
NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction.
ECML/PKDD (3)
Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu
2021 — conf
Relation Extraction based on Data Partition and Representation Integration.
DSC
Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Zhenyu Zhang, Yanzeng Li, Jinqiao Shi
2021 A* conf
Semi-Open Information Extraction.
WWW
Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang
2020 B conf
BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph.
IJCNN
Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu
2020 — conf
Coarse-to-Fine Pre-training for Named Entity Recognition.
EMNLP (1)
Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang
2020 J jnl
Coarse-to-Fine Pre-training for Named Entity Recognition.
CoRR
Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang
2020 B conf
DRG2vec: Learning Word Representations from Definition Relational Graph.
IJCNN
Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu
2020 A* conf
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction.
AAAI
Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo
2020 B conf
Document-level Relation Extraction with Dual-tier Heterogeneous Graph.
COLING
Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Yubin Wang, Li Guo
2020 — conf
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.
EMNLP (Findings)
Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi
2020 J jnl
Event Detection with Relation-Aware Graph Convolutional Neural Networks.
CoRR
Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi
2020 — conf
Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks.
WISE (1)
Yubin Wang, Zhenyu Zhang, Tingwen Liu, Hongbo Xu, Jingjing Wang, Li Guo
2020 — conf
HIN: Hierarchical Inference Network for Document-Level Relation Extraction.
PAKDD (1)
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin
2020 J jnl
HIN: Hierarchical Inference Network for Document-Level Relation Extraction.
CoRR
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin
2020 A* conf
High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking.
WWW
Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang
2020 B conf
Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population.
IJCNN
Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li
2020 A conf
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.
ECAI
Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li
2020 B conf
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction.
COLING
Bowen Yu, Mengge Xue, Zhenyu Zhang, Tingwen Liu, Yubin Wang, Bin Wang
2020 — conf
SLGAT: Soft Labels Guided Graph Attention Networks.
PAKDD (1)
Yubin Wang, Zhenyu Zhang, Tingwen Liu, Li Guo
2020 — conf
Strong Baselines for Author Name Disambiguation with and Without Neural Networks.
PAKDD (1)
Zhenyu Zhang, Bowen Yu, Tingwen Liu, Dong Wang
2019 A* conf
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction.
IJCAI
Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li
2019 B conf
ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information.
IJCNN
Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu, Diying Li, Jinqiao Shi
2019 A* conf
Joint Entity Linking with Deep Reinforcement Learning.
WWW
Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu
2019 J jnl
Joint Entity Linking with Deep Reinforcement Learning.
CoRR
Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu
2019 J jnl
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.
CoRR
Bowen Yu, Zhenyu Zhang, Jianlin Su, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li