Research on the Development and Utilization of National Information Resources Based on Marginal Theory and Goal Programming Method - Taking the National Information Resources of Chinese as Example. - Zhitao Du; Lihong Liu; Guoqing Huo (CSEE (5), 2011)

Research in Synchronization Optimization of the Distributed Heterogeneous Database Data. - Zhenyou Zhang; Lihong Liu; Rui Zhang (CSEE (5), 2011)

MIMO-OFDM wireless channel prediction by exploiting spatial correlation. - Lihong Liu; Hui Feng 001; Bo Hu 002; Jianqiu Zhang 001 (WCSP, 2012)

MIMO-OFDM Wireless Channel Prediction by Exploiting Spatial-Temporal Correlation. - Lihong Liu; Hui Feng 001; Tao Yang 008; Bo Hu 002 (IEEE Trans. Wirel. Commun., 2014)

Automated Full Quantification of Left Ventricle with Deep Neural Networks. - Lihong Liu; Jin Ma; Jianzong Wang; Jing Xiao 006 (STACOM@MICCAI, 2018)

Multivariable Finite Time Attitude Control for Quadrotor UAV: Theory and Experimentation. - Bailing Tian; Lihong Liu; Hanchen Lu; Zongyu Zuo; Qun Zong; Yunpeng Zhang (IEEE Trans. Ind. Electron., 2018)

An approach to calculation and visualization of efficacies of Traditional Chinese Medical formulae based on a semantic network. - Yan Zhu; Yidi Cui; Bo Gao; Lihong Liu; Junhui Wang (BIBM, 2019)

Study on the Instructional Design of a STEAM Course with Chinese Characteristics - Take "Making Handmade Wood-Burning Ceramic Cups" as a Case. - Liuhui Huang; Yangyang Han; Kedong Li; Yunxiang Zheng; Lihong Liu (ICBL, 2019)

UAV Autonomous Trajectory Planning in Target Tracking Tasks via a DQN Approach. - Lihong Liu; Bailing Tian; Xinyi Zhao; Qun Zong (RCAR, 2019)

An ontological framework for the formalization, organization and usage of TCM-Knowledge. - Hai Long; Yan Zhu 021; Lirong Jia; Bo Gao; Jing Liu; Lihong Liu; Heinrich Herre (BMC Medical Informatics Decis. Mak., 2019)

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019. - Zhang Li; Jiehua Zhang; Tao Tan 002; Xichao Teng; Xiaoliang Sun; Yang Li 058; Lihong Liu; Yang Xiao; Byungjae Lee; Yilong Li; Qianni Zhang; Shujiao Sun; et al. (CoRR, 2020)

IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. - Prasanna Porwal; Samiksha Pachade; Manesh Kokare; Girish Deshmukh; Jaemin Son; Woong Bae; Lihong Liu; Jianzong Wang; Xinhui Liu; Liangxin Gao; Tianbo Wu; Jing Xiao 006; et al. (Medical Image Anal., 2020)

Demonstration Study on Automatic Discovery of Interaction between Chinese Medicines and Chemical Medicine Based on Ontology Reasoning. - Lihong Liu; Lirong Jia; Keyu Yao; Yan Zhu; Chao Chen (BIBM, 2021)

AMFormulaS: an intelligent retrieval system for traditional Chinese medicine formulas. - Yidi Cui; Bo Gao; Lihong Liu; Jing Liu; Yan Zhu 021 (BMC Medical Informatics Decis. Mak., 2021)

Attitude Control of UAVs Based on Event-Triggered Supertwisting Algorithm. - Bailing Tian; Jie Cui; Hanchen Lu; Lihong Liu; Qun Zong (IEEE Trans. Ind. Informatics, 2021)

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019. - Zhang Li; Jiehua Zhang; Tao Tan 002; Xichao Teng; Xiaoliang Sun; Hong Zhao; Lihong Liu; Yang Xiao; Byungjae Lee; Yilong Li; Qianni Zhang; Shujiao Sun; et al. (IEEE J. Biomed. Health Informatics, 2021)

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. - Wufeng Xue; Jiahui Li 005; Zhiqiang Hu; Eric Kerfoot; James R. Clough; Ilkay Öksüz; Hao Xu; Vicente Grau; Fumin Guo; Matthew Ng; Xiang Li 001; Quanzheng Li; et al. (IEEE J. Biomed. Health Informatics, 2021)

TCM-SAS: A Semantic Annotation System and Knowledgebase of Traditional Chinese Medicine. - Zhe Wang; Lihong Liu; Keyu Yao; Junhui Wang; Yan Zhu 021 (BIBM, 2022)

The BaiBu Knowledge Engine: A Solution for Improving the Semantic Knowledge Base of Traditional Chinese Medicine. - Shuqi Zhang; Zhe Wang; Keyu Yao; Lihong Liu; Yan Zhu 021 (BIBM, 2023)

An Adaptive Unscented Kalman Filter for Needle Steering with Missing Measurements. - Dikai Lou; Lihong Liu; Sheng Fang; Jiabin Hu; Dan Zhang; Huageng Liang (ICARM, 2023)

Dynamic Evidence Decoupling for Trusted Multi-view Learning. - Ying Liu 052; Lihong Liu; Cai Xu; Xiangyu Song; Ziyu Guan; Wei Zhao 019 (ACM Multimedia, 2024)

Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics. - Benquan Yang; Yueli Cui; Lihong Liu; Guang Chen; Jiamin Xu; Junhao Lin (Multim. Syst., 2024)

HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation. - Boyuan Wang; Xiaofeng Wang; Chaojun Ni; Guosheng Zhao; Zhiqin Yang; Zheng Zhu; Muyang Zhang; Yukun Zhou; Xinze Chen; Guan Huang 003; Lihong Liu; Xingang Wang 003 (CVPR, 2025)

YOLO-CM: Class-Aware Instance Segmentation Using Combine-Mask. - Renzhong Wu; Xiaobin Wen; Shenghui Liao; Jianfeng Li; Lihong Liu; Xiaoyan Kui (ICIC (11), 2025)

Integration of deep learning in the diagnosis, chemical analysis, and therapeutic approaches for neurodegenerative disorders. - Wencan Zhou; Chao Sun; Lihong Liu (Biomed. Signal Process. Control., 2025)

HumanDreamer-X: Photorealistic Single-image Human Avatars Reconstruction via Gaussian Restoration. - Boyuan Wang; Runqi Ouyang; Xiaofeng Wang; Zheng Zhu; Guosheng Zhao; Chaojun Ni; Guan Huang 003; Lihong Liu; Xingang Wang 003 (CoRR, 2025)

Nonsingular Fast Terminal Sliding Mode Control of Uncertain Robotic Manipulator System Based on Adaptive Fuzzy Wavelet Neural Network. - Wenqi Liu; Lihong Liu; Dan Zhang; Jun Cheng (Int. J. Fuzzy Syst., 2025)

REFN: A Reinforcement-Learning-From-Network Framework against 1-day/n-day Exploitations. - Tianlong Yu; Lihong Liu; Ziyi Zhou; Fudu Xing; Kailong Wang; Yang Yang (CoRR, 2025)