Hao Liu

According to our database, Hao Liu authored at least 49 papers between 2014 and 2025.

Collaborative distances:

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

2025

WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?

An-Lan Wang, Jingqun Tang, Liao Lei, Hao Feng, Qi Liu, Xiang Fei, Jinghui Lu, Han Wang, Weiwei Liu, Hao Liu, Yuliang Liu, Xiang Bai, Can Huang

CoRR, May, 2025

MoLoRec: A Generalizable and Efficient Framework for LLM-Based Recommendation.

Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kun Zhang, Kai Zhang, Richang Hong, Meng Wang

CoRR, February, 2025

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning.

Ling Fu, Biao Yang, Zhebin Kuang, Jiajun Song, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Mingxin Huang, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai

CoRR, January, 2025

Assessing the grid-connected capacity of county-level photovoltaic systems: A study to enhance flexibility and reliability.

Ning Zhou, Jian Zhao, Ling Miao, Jianwei Ma, Hao Liu, Yurong Hu, Yuping Wei

J. Comput. Methods Sci. Eng., 2025

MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering.

Jingqun Tang, Qi Liu, Yongjie Ye, Jinghui Lu, Shu Wei, An-Lan Wang, Chunhui Lin, Hao Feng, Zhen Zhao, Yanjie Wang, Yuliang Liu, Hao Liu, Xiang Bai, Can Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting.

Hao Feng, Shu Wei, Xiang Fei, Wei Shi, Yingdong Han, Lei Liao, Jinghui Lu, Binghong Wu, Qi Liu, Chunhui Lin, Jingqun Tang, Hao Liu, Can Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Asymmetric Deformable Spatio-temporal Framework for Infrared Object Tracking.

Jingjing Wu, Xi Zhou, Xiaohong Li, Hao Liu, Meibin Qi, Richang Hong

ACM Trans. Multim. Comput. Commun. Appl., October, 2024

SYRER: Synergistic Relational Reasoning for RGB-D Cross-Modal Re-Identification.

Hao Liu, Jingjing Wu, Feng Li, Jianguo Jiang, Richang Hong

IEEE Trans. Multim., 2024

A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding.

Jinghui Lu, Haiyang Yu, Yanjie Wang, Yongjie Ye, Jingqun Tang, Ziwei Yang, Binghong Wu, Qi Liu, Hao Feng, Han Wang, Hao Liu, Can Huang

CoRR, 2024

TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy.

Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Shu Wei, Binghong Wu, Lei Liao, Yongjie Ye, Hao Liu, Houqiang Li, Can Huang

CoRR, 2024

MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering.

Jingqun Tang, Qi Liu, Yongjie Ye, Jinghui Lu, Shu Wei, Chunhui Lin, Wanqing Li, Mohamad Fitri Faiz Bin Mahmood, Hao Feng, Zhen Zhao, Yanjie Wang, Yuliang Liu, Hao Liu, Xiang Bai, Can Huang

CoRR, 2024

TextSquare: Scaling up Text-Centric Visual Instruction Tuning.

Jingqun Tang, Chunhui Lin, Zhen Zhao, Shu Wei, Binghong Wu, Qi Liu, Hao Feng, Yang Li, Siqi Wang, Lei Liao, Wei Shi, Yuliang Liu, Hao Liu, Yuan Xie, Xiang Bai, Can Huang

CoRR, 2024

DocPedia: unleashing the power of large multimodal model in the frequency domain for versatile document understanding.

Hao Feng, Qi Liu, Hao Liu, Jingqun Tang, Wengang Zhou, Houqiang Li, Can Huang

Sci. China Inf. Sci., 2024

Harmonizing Visual Text Comprehension and Generation.

Zhen Zhao, Jingqun Tang, Binghong Wu, Chunhui Lin, Shu Wei, Hao Liu, Xin Tan, Zhizhong Zhang, Can Huang, Yuan Xie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy.

Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Binghong Wu, Lei Liao, Shu Wei, Yongjie Ye, Hao Liu, Wengang Zhou, Houqiang Li, Can Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT.

Chenyuan Zhang, Hao Liu, Jiutian Zeng, Kejing Yang, Yuhong Li, Hui Li

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer.

Zhen Zhao, Jingqun Tang, Chunhui Lin, Binghong Wu, Can Huang, Hao Liu, Xin Tan, Zhizhong Zhang, Yuan Xie

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

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation.

Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding.

Hao Feng, Qi Liu, Hao Liu, Wengang Zhou, Houqiang Li, Can Huang

CoRR, 2023

RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring.

Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration.

Haoyu Cao, Changcun Bao, Chaohu Liu, Huang Chen, Kun Yin, Hao Liu, Yinsong Liu, Deqiang Jiang, Xing Sun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA.

Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu

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

TaCo: Textual Attribute Recognition via Contrastive Learning.

Chang Nie, Yiqing Hu, Yanqiu Qu, Hao Liu, Deqiang Jiang, Bo Ren

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

The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training.

Hao Liu, Xinghua Jiang, Xin Li, Antai Guo, Yiqing Hu, Deqiang Jiang, Bo Ren

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

2022

The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-Training.

Hao Liu, Xinghua Jiang, Xin Li, Antai Guo, Deqiang Jiang, Bo Ren

CoRR, 2022

GMN: Generative Multi-modal Network for Practical Document Information Extraction.

Haoyu Cao, Jiefeng Ma, Antai Guo, Yiqing Hu, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Query-driven Generative Network for Document Information Extraction in the Wild.

Haoyu Cao, Xin Li, Jiefeng Ma, Deqiang Jiang, Antai Guo, Yiqing Hu, Hao Liu, Yinsong Liu, Bo Ren

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

Knowledge Mining with Scene Text for Fine-Grained Recognition.

Hao Wang, Junchao Liao, Tianheng Cheng, Zewen Gao, Hao Liu, Bo Ren, Xiang Bai, Wenyu Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Collaborative Graph Machines for Table Structure Recognition.

Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition.

Hao Liu, Xinghua Jiang, Xin Li, Zhimin Bao, Deqiang Jiang, Bo Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition.

Hao Liu, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu, Bo Ren

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Show, Read and Reason: Table Structure Recognition with Flexible Context Aggregator.

Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren, Rongrong Ji

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

RecycleNet: An Overlapped Text Instance Recovery Approach.

Yiqing Hu, Yan Zheng, Xinghua Jiang, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren, Rongrong Ji

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Person Attribute Recognition by Sequence Contextual Relation Learning.

Jingjing Wu, Hao Liu, Jianguo Jiang, Meibin Qi, Bo Ren, Xiaohong Li, Yashen Wang

IEEE Trans. Circuits Syst. Video Technol., 2020

PuzzleNet: Scene Text Detection by Segment Context Graph Learning.

Hao Liu, Antai Guo, Deqiang Jiang, Yiqing Hu, Bo Ren

CoRR, 2020

Accurate Structured-Text Spotting for Arithmetical Exercise Correction.

Yiqing Hu, Yan Zheng, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren

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

2019

Independent metric learning with aligned multi-part features for video-based person re-identification.

Jingjing Wu, Jianguo Jiang, Meibin Qi, Hao Liu

Multim. Tools Appl., 2019

Deep feature representation and multiple metric ensembles for person re-identification in security surveillance system.

Meibin Qi, Jingxian Han, Jianguo Jiang, Hao Liu

Multim. Tools Appl., 2019

Local region partition for person re-identification.

Huifang Chu, Meibin Qi, Hao Liu, Jianguo Jiang

Multim. Tools Appl., 2019

2018

Video-Based Person Re-Identification With Accumulative Motion Context.

Hao Liu, Zequn Jie, Jayashree Karlekar, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng

IEEE Trans. Circuits Syst. Video Technol., 2018

Sequence-based Person Attribute Recognition with Joint CTC-Attention Model.

Hao Liu, Jingjing Wu, Jianguo Jiang, Meibin Qi, Bo Ren

CoRR, 2018

Video-Based Person Re-identification with Adaptive Multi-part Features Learning.

Jingjing Wu, Jianguo Jiang, Meibin Qi, Hao Liu, Meng Wang

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Multi-View Image Generation from a Single-View.

Bo Zhao, Xiao Wu, Zhi-Qi Cheng, Hao Liu, Zequn Jie, Jiashi Feng

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017

End-to-End Comparative Attention Networks for Person Re-Identification.

Hao Liu, Jiashi Feng, Meibin Qi, Jianguo Jiang, Shuicheng Yan

IEEE Trans. Image Process., 2017

Multi-View Image Generation from a Single-View.

Bo Zhao, Xiao Wu, Zhi-Qi Cheng, Hao Liu, Jiashi Feng

CoRR, 2017

Neural Person Search Machines.

Hao Liu, Jiashi Feng, Zequn Jie, Jayashree Karlekar, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Robust Face Recognition with Deep Multi-View Representation Learning.

Jianshu Li, Jian Zhao, Fang Zhao, Hao Liu, Jing Li, Shengmei Shen, Jiashi Feng, Terence Sim

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015

Kernelized Relaxed Margin Components Analysis for Person Re-identification.

Hao Liu, Meibin Qi, Jianguo Jiang

IEEE Signal Process. Lett., 2015

2014

Non-linear metric learning with multiple features for person re-identification.

Jianguo Jiang, Hao Liu, Meibin Qi

Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014