Lihang Liu - RankMe

23 papers A* 2C 1Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	State-Specific Peptide Design Targeting G Protein-Coupled Receptors. J. Chem. Inf. Model. Yang Xue, Hong Wang, Jun Li, Jianguo Hu, Zhiyuan Chen, Zhi Zheng, Lihang Liu, Kunrui Zhu, Jingzhou He, Huanzhang Gong, Xiangqun Li, Xiaonan Zhang, Xiaomin Fang
2024	J	`jnl`	HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights. CoRR Xiaomin Fang, Jie Gao, Jing Hu, Lihang Liu, Yang Xue, Xiaonan Zhang, Kunrui Zhu
2024	J	`jnl`	Precise Antigen-Antibody Structure Predictions Enhance Antibody Development with HelixFold-Multimer. CoRR Jie Gao, Jing Hu, Lihang Liu, Yang Xue, Kunrui Zhu, Xiaonan Zhang, Xiaomin Fang
2024	J	`jnl`	Technical Report of HelixFold3 for Biomolecular Structure Prediction. CoRR Lihang Liu, Shanzhuo Zhang, Yang Xue, Xianbin Ye, Kunrui Zhu, Yuxin Li, Yang Liu, Xiaonan Zhang, Xiaomin Fang
2023	J	`jnl`	A method for multiple-sequence-alignment-free protein structure prediction using a protein language model. Nat. Mac. Intell. Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Kunrui Zhu, Xiaonan Zhang, Hua Wu, Hui Li, Le Song
2023	J	`jnl`	Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening. J. Chem. Inf. Model. Lan Yu, Xiao He, Xiaomin Fang, Lihang Liu, Jinfeng Liu
2023	J	`jnl`	Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models. CoRR 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
2023	—	`conf`	Real-Time Audio Transmission System Using NLOS UV Communication Based on Wall Reflections. ICAIT Zhiyan Chen, Xinke Tang, Zixian Wei, Lihang Liu, Zhen Chen, H. Y. Fu
2022	J	`jnl`	GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling. CoRR Lihang Liu, Donglong He, Xiaomin Fang, Shanzhuo Zhang, Fan Wang, Jingzhou He, Hua Wu
2022	J	`jnl`	Geometry-enhanced molecular representation learning for property prediction. Nat. Mach. Intell. Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang
2022	J	`jnl`	HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer. Bioinform. Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang
2022	J	`jnl`	HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer. CoRR Shanzhuo Zhang, Zhiyuan Yan, Yueyang Huang, Lihang Liu, Donglong He, Wei Wang, Xiaomin Fang, Xiaonan Zhang, Fan Wang, Hua Wu, Haifeng Wang
2022	J	`jnl`	HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative. CoRR Xiaomin Fang, Fan Wang, Lihang Liu, Jingzhou He, Dayong Lin, Yingfei Xiang, Xiaonan Zhang, Hua Wu, Hui Li, Le Song
2021	J	`jnl`	ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction. CoRR Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang
2021	J	`jnl`	LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction. CoRR Shanzhuo Zhang, Lihang Liu, Sheng Gao, Donglong He, Xiaomin Fang, Weibin Li, Zhengjie Huang, Weiyue Su, Wenjin Wang
2021	A*	`conf`	SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps. KDD Xiaomin Fang, Jizhou Huang, Fan Wang, Lihang Liu, Yibo Sun, Haifeng Wang
2019	J	`jnl`	MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems. CoRR Fan Wang, Xiaomin Fang, Lihang Liu, Hao Tian, Zhiming Peng
2019	J	`jnl`	Sequential Evaluation and Generation Framework for Combinatorial Recommender System. CoRR Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian
2018	A*	`conf`	Learning Generative Neural Networks for 3D Colorization. AAAI Zhenpei Yang, Lihang Liu, Qixing Huang
2018	J	`jnl`	Unsupervised Deep Domain Adaptation for Pedestrian Detection. CoRR Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang
2016	—	`conf`	Unsupervised Deep Domain Adaptation for Pedestrian Detection. ECCV Workshops (2) Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang
2015	—	`conf`	Extracting Recurrent Motion Flows from Crowded Scene Videos: A Coherent Motion-Based Approach. BigMM Yang Mi, Lihang Liu, Weiyao Lin, Weiyue Wang
2015	C	`conf`	Traffic flow matching with clique and triplet cues. MMSP Lihang Liu, Weiyao Lin, Youping Zhong