Guang Liu

According to our database, Guang Liu authored at least 23 papers between 2012 and 2024.

Collaborative distances:

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

2024

Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data.

Shuhao Gu, Jialing Zhang, Siyuan Zhou, Kevin Yu, Zhaohu Xing, Liangdong Wang, Zhou Cao, Jintao Jia, Zhuoyi Zhang, Yixuan Wang, Zhenchong Hu, Bo-Wen Zhang, Jijie Li, Dong Liang, Yingli Zhao, Yulong Ao, Yaoqi Liu, Fangxiang Feng, Guang Liu

CoRR, 2024

CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models.

Liangdong Wang, Bowen Zhang, Chengwei Wu, Hanyu Zhao, Xiaofeng Shi, Shuhao Gu, Jijie Li, Quanyue Ma, Tengfei Pan, Guang Liu

CoRR, 2024

ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model.

Shuhao Gu, Mengdi Zhao, Bowen Zhang, Liangdong Wang, Jijie Li, Guang Liu

CoRR, 2024

Emu3: Next-Token Prediction is All You Need.

Xinlong Wang, Xiaosong Zhang, Zhengxiong Luo, Quan Sun, Yufeng Cui, Jinsheng Wang, Fan Zhang, Yueze Wang, Zhen Li, Qiying Yu, Yingli Zhao, Yulong Ao, Xuebin Min, Tao Li, Boya Wu, Bo Zhao, Bowen Zhang, Liangdong Wang, Guang Liu, Zheqi He, Xi Yang, Jingjing Liu, Yonghua Lin, Tiejun Huang, Zhongyuan Wang

CoRR, 2024

Aquila2 Technical Report.

Bo-Wen Zhang, Liangdong Wang, Jijie Li, Shuhao Gu, Xinya Wu, Zhengduo Zhang, Boyan Gao, Yulong Ao, Guang Liu

CoRR, 2024

AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies.

Bo-Wen Zhang, Liangdong Wang, Ye Yuan, Jijie Li, Shuhao Gu, Mengdi Zhao, Xinya Wu, Guang Liu, Chengwei Wu, Hanyu Zhao, Li Du, Yiming Ju, Quanyue Ma, Yulong Ao, Yingli Zhao, Songhe Zhu, Zhou Cao, Dong Liang, Yonghua Lin, Ming Zhang, Shunfei Wang, Yanxin Zhou, Min Ye, Xuekai Chen, Xinyang Yu, Xiangjun Huang, Jian Yang

CoRR, 2024

DiffHarmony++: Enhancing Image Harmonization with Harmony-VAE and Inverse Harmonization Model.

Pengfei Zhou, Fangxiang Feng, Guang Liu, Ruifan Li, Xiaojie Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation.

Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science.

Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

InfinityMath: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning.

Bo-Wen Zhang, Yan Yan, Lin Li, Guang Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

AltDiffusion: A Multilingual Text-to-Image Diffusion Model.

Fulong Ye, Guang Liu, Xinya Wu, Ledell Wu

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

2023

TACO: Topics in Algorithmic COde generation dataset.

Rongao Li, Jie Fu, Bo-Wen Zhang, Tao Huang, Zhihong Sun, Chen Lyu, Guang Liu, Zhi Jin, Ge Li

CoRR, 2023

CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation.

Zhenduo Zhang, Bo-Wen Zhang, Guang Liu

CoRR, 2023

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data.

Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

CoRR, 2023

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities.

Zhongzhi Chen, Guang Liu, Bo-Wen Zhang, Qinghong Yang, Ledell Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities.

Zhongzhi Chen, Guang Liu, Bo-Wen Zhang, Fulong Ye, Qinghong Yang, Ledell Wu

CoRR, 2022

PTab: Using the Pre-trained Language Model for Modeling Tabular Data.

Guang Liu, Jie Yang, Ledell Wu

CoRR, 2022

2020

Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion.

Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen

CoRR, 2020

2019

A new metric for individual stock trend prediction.

Guang Liu, Xiaojie Wang

Eng. Appl. Artif. Intell., 2019

Multi-Scale RCNN Model for Financial Time-series Classification.

Guang Liu, Xiaojie Wang, Ruifan Li

CoRR, 2019

A Numerical-Based Attention Method for Stock Market Prediction With Dual Information.

Guang Liu, Xiaojie Wang

IEEE Access, 2019

2018

Ligature based Urdu Nastaleeq sentence recognition using gated bidirectional long short term memory.

Ibrar Ahmad, Xiaojie Wang, Yuzhao Mao, Guang Liu, Haseeb Ahmad, Rahat Ullah

Clust. Comput., 2018

2012

Attribute based Chinese Named Entity Recognition and Disambiguation.

Wei Han, Guang Liu, Yuzhao Mao, Zhenni Huang

Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2012