Lihang Liu

According to our database, Lihang Liu authored at least 17 papers between 2015 and 2023.

Collaborative distances:

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

2023

Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening.

Lan Yu, Xiao He, Xiaomin Fang, Lihang Liu, Jinfeng Liu

J. Chem. Inf. Model., November, 2023

A method for multiple-sequence-alignment-free protein structure prediction using a protein language model.

Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song

Nat. Mac. Intell., October, 2023

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models.

Lihang Liu, Donglong He, Xianbin Ye, Shanzhuo Zhang, Xiaonan Zhang, Jingbo Zhou, Jun Li, Hua Chai, Fan Wang, Jingzhou He, Liang Zheng, Yonghui Li, Xiaomin Fang

CoRR, 2023

Real-Time Audio Transmission System Using NLOS UV Communication Based on Wall Reflections.

Zhiyan Chen, Xinke Tang, Zixian Wei, Lihang Liu, Zhen Chen, H. Y. Fu

Proceedings of the 15th IEEE International Conference on Advanced Infocomm Technology, 2023

2022

Geometry-enhanced molecular representation learning for property prediction.

Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang

Nat. Mach. Intell., 2022

GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling.

Lihang Liu, Donglong He, Xiaomin Fang, Shanzhuo Zhang, Fan Wang, Jingzhou He, Hua Wu

CoRR, 2022

HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative.

Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song

CoRR, 2022

HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer.

Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang

Bioinform., 2022

2021

LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction.

Shanzhuo Zhang, Lihang Liu, Sheng Gao, Donglong He, Xiaomin Fang, Weibin Li, Zhengjie Huang, Weiyue Su, Wenjin Wang

CoRR, 2021

ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction.

Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang

CoRR, 2021

SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps.

Xiaomin Fang, Jizhou Huang, Fan Wang, Lihang Liu, Yibo Sun, Haifeng Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems.

Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng

CoRR, 2019

Sequential Evaluation and Generation Framework for Combinatorial Recommender System.

Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian

CoRR, 2019

2018

Learning Generative Neural Networks for 3D Colorization.

Zhenpei Yang, Lihang Liu, Qixing Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Unsupervised Deep Domain Adaptation for Pedestrian Detection.

Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Traffic flow matching with clique and triplet cues.

Lihang Liu, Weiyao Lin, Youping Zhong

Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Extracting Recurrent Motion Flows from Crowded Scene Videos: A Coherent Motion-Based Approach.

Yang Mi, Lihang Liu, Weiyao Lin, Weiyue Wang

Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015