Guanglin Niu

According to our database, Guanglin Niu authored at least 43 papers between 2019 and 2026.

Collaborative distances:

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

2026

A Comprehensive Survey of Knowledge Graph Reasoning: Approaches and Applications.

Guanglin Niu, Bo Li, Yangguang Lin

IEEE Trans. Big Data, June, 2026

RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion.

Guanglin Niu, Bo Li

CoRR, April, 2026

Towards Robust Text-to-Image Person Retrieval: Multi-View Reformulation for Semantic Compensation.

Chao Yuan, Yujian Zhao, Haoxuan Xu, Guanglin Niu

CoRR, April, 2026

CMCC-ReID: Cross-Modality Clothing-Change Person Re-Identification.

Haoxuan Xu, Hanzi Wang, Guanglin Niu

CoRR, April, 2026

BIT: Matching-based Bi-directional Interaction Transformation Network for Visible-Infrared Person Re-Identification.

Haoxuan Xu, Guanglin Niu

CoRR, March, 2026

Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs.

Siyue Su, Jian Yang, Bo Li, Guanglin Niu

CoRR, February, 2026

Soft-label guided multi-granularity prompts learning for human-object interaction detection.

Xiaoqian Han, Xiaowei Zhang, Guanglin Niu, Mingliang Zhou, Zhenkuan Pan

Appl. Soft Comput., 2026

SAM2-OV: A Novel Detection-Only Tuning Paradigm for Open-Vocabulary Multi-Object Tracking.

Yangkai Chen, Qiangqiang Wu, Guangyao Li, Junlong Gao, Guanglin Niu, Hanzi Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion.

Guanglin Niu, Bo Li, Siling Feng

IEEE Trans. Big Data, December, 2025

MOS: Mitigating Optical-SAR Modality Gap for Cross-Modal Ship Re-Identification.

Yujian Zhao, Hankun Liu, Guanglin Niu

CoRR, December, 2025

Modality-Transition Representation Learning for Visible-Infrared Person Re-Identification.

Chao Yuan, Zanwu Liu, Guiwei Zhang, Haoxuan Xu, Yujian Zhao, Guanglin Niu, Bo Li

CoRR, November, 2025

Looking Alike From Far to Near: Enhancing Cross-Resolution Re-Identification via Feature Vector Panning.

Zanwu Liu, Chao Yuan, Bo Li, Xiaowei Zhang, Guanglin Niu

CoRR, October, 2025

IFEvalCode: Controlled Code Generation.

Jian Yang, Wei Zhang, Shukai Liu, Linzheng Chai, Yingshui Tan, Jiaheng Liu, Ge Zhang, Wangchunshu Zhou, Guanglin Niu, Zhoujun Li, Binyuan Hui, Junyang Lin

CoRR, July, 2025

Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-ID.

Hankun Liu, Yujian Zhao, Guanglin Niu

CoRR, July, 2025

A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects.

Guanglin Niu, Bo Li, Yangguang Lin

CoRR, June, 2025

Geometry-Guided Point Generation for 3D Object Detection.

Kai Wang, Mingliang Zhou, Qing Lin, Guanglin Niu, Xiaowei Zhang

IEEE Signal Process. Lett., 2025

Try Harder: Hard Sample Generation and Learning for Cloth-Changing Person Re-ID.

Hankun Liu, Yujian Zhao, Guanglin Niu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models.

Yujian Zhao, Chengru Wu, Yinong Xu, Xuanzheng Du, Ruiyu Li, Guanglin Niu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Knowledge Distilled Group Prompts Learning for HOI Detection with Large Vision-Language Models.

Xiaoqian Han, Guanglin Niu, Mingliang Zhou, Xiaowei Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Identity-aware Feature Decoupling Learning for Clothing-change Person Re-identification.

Haoxuan Xu, Bo Li, Guanglin Niu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Diffusion-Based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion.

Guanglin Niu, Xiaowei Zhang

Proceedings of the Database Systems for Advanced Applications, 2025

Neighbor-Based Feature and Index Enhancement for Person Re-Identification.

Chao Yuan, Tianyi Zhang, Guanglin Niu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization.

Chao Yuan, Guiwei Zhang, Changxiao Ma, Tianyi Zhang, Guanglin Niu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Xianjie Wu, Jian Yang, Linzheng Chai, Ge Zhang, Jiaheng Liu, Xeron Du, Di Liang, Daixin Shu, Xianfu Cheng, Tianzhen Sun, Tongliang Li, Zhoujun Li, Guanglin Niu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Hierarchical bi-directional conceptual interaction for text-video retrieval.

Wenpeng Han, Guanglin Niu, Mingliang Zhou, Xiaowei Zhang

Multim. Syst., December, 2024

MdEval: Massively Multilingual Code Debugging.

Shukai Liu, Linzheng Chai, Jian Yang, Jiajun Shi, He Zhu, Liran Wang, Ke Jin, Wei Zhang, Hualei Zhu, Shuyue Guo, Tao Sun, Jiaheng Liu, Yunlong Duan, Yu Hao, Liqun Yang, Guanglin Niu, Ge Zhang, Zhoujun Li

CoRR, 2024

Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties.

Guanglin Niu

CoRR, 2024

FuzzCoder: Byte-level Fuzzing Test via Large Language Model.

Liqun Yang, Jian Yang, Chaoren Wei, Guanglin Niu, Ge Zhang, Yunli Wang, Linzheng Chai, Wanxu Xia, Hongcheng Guo, Shun Zhang, Jiaheng Liu, Yuwei Yin, Junran Peng, Jiaxin Ma, Liang Sun, Zhoujun Li

CoRR, 2024

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Xianjie Wu, Jian Yang, Linzheng Chai, Ge Zhang, Jiaheng Liu, Xinrun Du, Di Liang, Daixin Shu, Xianfu Cheng, Tianzhen Sun, Guanglin Niu, Tongliang Li, Zhoujun Li

CoRR, 2024

CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-Driven Video Editing.

Guiwei Zhang, Tianyu Zhang, Guanglin Niu, Zichang Tan, Yalong Bai, Qing Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Logic and Commonsense-Guided Temporal Knowledge Graph Completion.

Guanglin Niu, Bo Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Joint semantics and data-driven path representation for knowledge graph reasoning.

Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu

Neurocomputing, 2022

Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu

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

2021

EngineKGI: Closed-Loop Knowledge Graph Inference.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu

CoRR, 2021

Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings.

Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun

CoRR, 2021

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion.

Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Entity Concept-enhanced Few-shot Relation Extraction.

Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao, Shiliang Pu

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

2020

Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference.

Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu

CoRR, 2020

AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li

CoRR, 2020

AutoETER: Automated Entity Type Representation with Relation-Aware Attention for Knowledge Graph Embedding.

Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li

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

Rule-Guided Compositional Representation Learning on Knowledge Graphs.

Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang

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

2019

Real-time object tracking via self-adaptive appearance modeling.

Ming Xin, Jin Zheng, Bo Li, Guanglin Niu, Miaohui Zhang

Neurocomputing, 2019