Liang Xiang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 11

Top Topics

Query Expansion

Surface Temperature

Document Ranking

Machine Learning

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI (2024)
Bao Di, Liang Xiang, Yang Daoqing, Pang Kaimin
MARA-YOLO: An Efficient Method for Multiclass Personal Protective Equipment Detection. IEEE Access 12 (2024)
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR (2024)
Yunyan Yao, Liang Xiang
Superconducting Quantum Simulation for Many-Body Physics beyond Equilibrium. Entropy 26 (7) (2024)
Weihao Yue, Yongsheng Xu, Liang Xiang, Shanliang Zhu, Chao Huang, Qingjun Zhang, Liqiang Zhang, Xiangguang Zhang
Prediction of 3-D Ocean Temperature Based on Self-Attention and Predictive RNN. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Sheng Gong, Yumin Zhang, Zhenliang Mu, Zhichen Pu, Hongyi Wang, Zhiao Yu, Mengyi Chen, Tianze Zheng, Zhi Wang, Lifei Chen, Xiaojie Wu, Shaochen Shi, Weihao Gao, Wen Yan, Liang Xiang
BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development. CoRR (2024)
Jie Chen, Xintian Han, Yu Ma, Xun Zhou, Liang Xiang
Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models. CoRR (2024)
Siwei Tan, Congliang Lang, Liang Xiang, Shudi Wang, Xinghui Jia, Ziqi Tan, Tingting Li, Jieming Yin, Yongheng Shang, Andre Python, Liqiang Lu, Jianwei Yin
QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features. MICRO (2023)
Liang Xiang, Yongsheng Xu, Hanwei Sun, Qingjun Zhang, Liqiang Zhang, Lin Zhang, Xiangguang Zhang, Chao Huang, Dan-dan Zhao
Retrieval of Subsurface Velocities in the Southern Ocean from Satellite Observations. Remote. Sens. 15 (24) (2023)
Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
Supervised Pretraining for Molecular Force Fields and Properties Prediction. CoRR (2022)
Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
Learning Regularized Positional Encoding for Molecular Prediction. CoRR (2022)
Siwei Lai, Yang Liu, Huxiang Gu, Liheng Xu, Kang Liu, Shiming Xiang, Jun Zhao, Rui Diao, Liang Xiang, Hang Li, Dong Wang
Hybrid Recommendation Models for Binary User Preference Prediction Problem. KDD Cup (2012)
Zhiheng Xu, Rong Lu, Liang Xiang, Qing Yang
Discovering User Interest on Twitter with a Modified Author-Topic Model. Web Intelligence (2011)
Liang Xiang, Quan Yuan, Shiwan Zhao, Li Chen, Xiatian Zhang, Qing Yang, Jimeng Sun
Temporal recommendation on graphs via long- and short-term preference fusion. KDD (2010)
Liang Xiang, Qing Yang
Time-Dependent Models in Collaborative Filtering Based Recommender System. Web Intelligence (2009)
Yicen Liu, Mingrong Liu, Liang Xiang, Qing Yang
Entity-Based Classification of Web Page in Search Engine. ICADL (2008)
Mingrong Liu, Yicen Liu, Liang Xiang, Xing Chen, Qing Yang
Extracting Key Entities and Significant Events from Online Daily News. IDEAL (2008)