Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu; Bin Wang 004; Sujian Li; Quangang Li (IJCAI, 2019)

ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information. - Qu Liu; Zhenyu Zhang 006; Yanzeng Li; Tingwen Liu; Diying Li; Jinqiao Shi (IJCNN, 2019)

Joint Entity Linking with Deep Reinforcement Learning. - Zheng Fang 002; Yanan Cao 001; Qian Li 003; Dongjie Zhang; Zhenyu Zhang 006; Yanbing Liu (WWW, 2019)

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. - Bowen Yu 002; Zhenyu Zhang 006; Jianlin Su; Yubin Wang; Tingwen Liu; Bin Wang 004; Sujian Li (CoRR, 2019)

Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. - Zhenyu Zhang 006; Xiaobo Shu; Bowen Yu 002; Tingwen Liu; Jiapeng Zhao; Quangang Li; Li Guo 001 (AAAI, 2020)

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction. - Bowen Yu 002; Mengge Xue; Zhenyu Zhang 006; Tingwen Liu; Yubin Wang; Bin Wang 004 (COLING, 2020)

Document-level Relation Extraction with Dual-tier Heterogeneous Graph. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Tingwen Liu; Hengzhu Tang; Yubin Wang; Li Guo 001 (COLING, 2020)

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. - Bowen Yu 002; Zhenyu Zhang 006; Xiaobo Shu; Tingwen Liu; Yubin Wang; Bin Wang 004; Sujian Li (ECAI, 2020)

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. - Shiyao Cui; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Xuebin Wang; Jinqiao Shi (EMNLP (Findings), 2020)

Coarse-to-Fine Pre-training for Named Entity Recognition. - Mengge Xue; Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu; Yue Zhang; Bin Wang 004 (EMNLP (1), 2020)

Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. - Zhenyu Zhang 006; Xiaobo Sind; Tingwen Liu; Zheng Fang 002; Quangang Li (IJCNN, 2020)

DRG2vec: Learning Word Representations from Definition Relational Graph. - Xiaobo Shu; Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu (IJCNN, 2020)

BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph. - Xiaobo Shu; Mengge Xue; Yanzeng Li; Zhenyu Zhang 006; Tingwen Liu (IJCNN, 2020)

Strong Baselines for Author Name Disambiguation with and Without Neural Networks. - Zhenyu Zhang 006; Bowen Yu 002; Tingwen Liu; Dong Wang 029 (PAKDD (1), 2020)

HIN: Hierarchical Inference Network for Document-Level Relation Extraction. - Hengzhu Tang; Yanan Cao 001; Zhenyu Zhang 006; Jiangxia Cao; Fang Fang 009; Shi Wang 002; Pengfei Yin (PAKDD (1), 2020)

SLGAT: Soft Labels Guided Graph Attention Networks. - Yubin Wang; Zhenyu Zhang 006; Tingwen Liu; Li Guo 001 (PAKDD (1), 2020)

Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks. - Yubin Wang; Zhenyu Zhang 006; Tingwen Liu; Hongbo Xu; Jingjing Wang; Li Guo 001 (WISE (1), 2020)

High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. - Zheng Fang 002; Yanan Cao 001; Ren Li; Zhenyu Zhang 006; Yanbing Liu; Shi Wang 002 (WWW, 2020)

Event Detection with Relation-Aware Graph Convolutional Neural Networks. - Shiyao Cui; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Xuebin Wang; Jinqiao Shi (CoRR, 2020)

From What to Why: Improving Relation Extraction with Rationale Graph. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Mengge Xue; Tingwen Liu; Li Guo 001 (ACL/IJCNLP (Findings), 2021)

Relation Extraction based on Data Partition and Representation Integration. - Jiapeng Zhao; Panpan Zhang; Tingwen Liu; Zhenyu Zhang 006; Yanzeng Li; Jinqiao Shi (DSC, 2021)

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. - Xinghua Zhang 001; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Jiawei Sheng; Mengge Xue; Hongbo Xu (EMNLP (1), 2021)

Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction. - Hengzhu Tang; Yanan Cao 001; Zhenyu Zhang 006; Ruipeng Jia; Fang Fang 009; Shi Wang 002 (ICASSP, 2021)

NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction. - Zhenyu Zhang 006; Bowen Yu 002; Xiaobo Shu; Tingwen Liu (ECML/PKDD (3), 2021)

Semi-Open Information Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Jiawei Sheng; Tingwen Liu; Yubin Wang; Yucheng Wang; Bin Wang 004 (WWW, 2021)

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. - Yanzeng Li; Jiangxia Cao; Xin Cong; Zhenyu Zhang 006; Bowen Yu 002; Hongsong Zhu; Tingwen Liu (ACL (1), 2022)

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding. - Qiming Peng; Yinxu Pan; Wenjin Wang 003; Bin Luo; Zhenyu Zhang 006; Zhengjie Huang; Yuhui Cao; Weichong Yin; Yongfeng Chen; Yin Zhang 006; Shikun Feng; Yu Sun 029; et al. (EMNLP (Findings), 2022)

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration. - Zhenyu Zhang 006; Bowen Yu 002; Haiyang Yu 003; Tingwen Liu; Cheng Fu 003; Jingyang Li; Chengguang Tang; Jian Sun 021; Yongbin Li (ACM Multimedia, 2022)

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding. - Qiming Peng; Yinxu Pan; Wenjin Wang 003; Bin Luo; Zhenyu Zhang 006; Zhengjie Huang; Teng Hu; Weichong Yin; Yongfeng Chen; Yin Zhang 006; Shikun Feng; Yu Sun 029; et al. (CoRR, 2022)

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts. - Zhida Feng; Zhenyu Zhang 006; Xintong Yu; Yewei Fang; Lanxin Li; Xuyi Chen; Yuxiang Lu; Jiaxiang Liu 004; Weichong Yin; Shikun Feng; Yu Sun 004; Hao Tian 005; et al. (CoRR, 2022)

Towards Generalized Open Information Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Jingyang Li; Haiyang Yu 003; Tingwen Liu; Jian Sun 021; Yongbin Li; Bin Wang 004 (CoRR, 2022)

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts. - Zhida Feng; Zhenyu Zhang 006; Xintong Yu; Yewei Fang; Lanxin Li; Xuyi Chen; Yuxiang Lu; Jiaxiang Liu 004; Weichong Yin; Shikun Feng; Yu Sun 004; Li Chen; et al. (CVPR, 2023)

Enhancing Table Retrieval with Dual Graph Representations. - Tianyun Liu; Xinghua Zhang 001; Zhenyu Zhang 006; Yubin Wang; Quangang Li; Shuai Zhang; Tingwen Liu (ECML/PKDD (4), 2023)

Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. - Zhenyu Zhang 006; Bowen Yu 002; Tingwen Liu; Tianyun Liu; Yubin Wang; Li Guo 001 (WWW, 2023)

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity. - Shiyao Cui; Zhenyu Zhang 006; Yilong Chen; Wenyuan Zhang 002; Tianyun Liu; Siqi Wang; Tingwen Liu (CoRR, 2023)

LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion. - Yilong Chen; Junyuan Shang; Zhenyu Zhang 006; Shiyao Cui; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003 (ACL (1), 2024)

NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time. - Yilong Chen; Guoxia Wang; Junyuan Shang; Shiyao Cui; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun; Dianhai Yu; Hua Wu 003 (ACL (1), 2024)

LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. - Taoyu Su; Xinghua Zhang 001; Jiawei Sheng; Zhenyu Zhang 006; Tingwen Liu (ECAI, 2024)

DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion. - Yilong Chen; Linhao Zhang; Junyuan Shang; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun 029 (CoRR, 2024)

NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time. - Yilong Chen; Guoxia Wang; Junyuan Shang; Shiyao Cui; Zhenyu Zhang 006; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Dianhai Yu; Hua Wu 003 (CoRR, 2024)

MoR: Mixture of Ranks for Low-Rank Adaptation Tuning. - Chuanyu Tang; Yilong Chen; Zhenyu Zhang 006; Junyuan Shang; Wenyuan Zhang 002; Yong Huang; Tingwen Liu (CoRR, 2024)

Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking. - Yilong Chen; Junyuan Shang; Zhenyu Zhang 006; Yanxi Xie; Jiawei Sheng; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003; Haifeng Wang 001 (ACL (1), 2025)

BeamLoRA: Beam-Constraint Low-Rank Adaptation. - Naibin Gu; Zhenyu Zhang 006; Xiyu Liu 003; Peng Fu 008; Zheng Lin 001; Shuohuan Wang; Yu Sun; Hua Wu 003; Weiping Wang 005; Haifeng Wang 001 (ACL (1), 2025)

HFT: Half Fine-Tuning for Large Language Models. - Tingfeng Hui; Zhenyu Zhang 006; Shuohuan Wang; Weiran Xu; Yu Sun 029; Hua Wu 003 (ACL (1), 2025)

Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging. - Tingfeng Hui; Zhenyu Zhang 006; Shuohuan Wang; Yu Sun 029; Hua Wu 003; Sen Su (ACL (1), 2025)

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. - Zefeng Zhang; Hengzhu Tang; Jiawei Sheng; Zhenyu Zhang 006; Yiming Ren; Zhenyang Li; Dawei Yin; Duohe Ma; Tingwen Liu (CVPR, 2025)

Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search. - Hengzhu Tang; Zefeng Zhang; Zhiping Li; Zhenyu Zhang 006; Xing Wu; Li Gao; Suqi Cheng; Dawei Yin (KDD (1), 2025)

Advantageous Parameter Expansion Training Makes Better Large Language Models. - Naibin Gu; Yilong Chen; Zhenyu Zhang 006; Peng Fu 008; Zheng Lin 001; Shuohuan Wang; Yu Sun; Hua Wu 003; Weiping Wang 005; Haifeng Wang 001 (CoRR, 2025)