Inferring internal wave phase speed from multi-satellite observations. - Hong Yang; Bingqing Liu; Zhongxiang Zhao; Xiaofeng Li 001 (IGARSS, 2014)

Monitoring of Oil Spill Trajectories With COSMO-SkyMed X-Band SAR Images and Model Simulation. - Yongcun Cheng; Bingqing Liu; Xiaofeng Li 001; Ferdinando Nunziata; Qing Xu 009; Xianwen Ding; Maurizio Migliaccio; William G. Pichel (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Investigate the effect of tides on the internal wave mophorlogy and generation sites in the Sulu Sea using satellite images. - Bingqing Liu (IGARSS, 2016)

Opportunistic Content Offloading for Mobile Edge Computing. - Hao Jiang 010; Bingqing Liu; Yuanyuan Zeng; Qian Li; Qimei Chen (SmartCom, 2018)

A Study on Correlation Analysis and Application of Communication Network Service. - Bingqing Liu; Hongyan Cui; Xue Qiu; Tao Yu; Haiyong Xu; Yan Huang; Meng Xu (UV, 2018)

Magic Cube Bloom Filter: Answering Membership Queries for Multiple Sets. - Zhouyi Sun; Siang Gao; Bingqing Liu; Yufei Wang; Tong Yang 003; Bin Cui 001 (BigComp, 2019)

Do Top Social Apps Effect Voice Call? Evidence from Propensity Score Matching Methods. - Hao Jiang 010; Min Lin; Bingqing Liu; Huifang Liu; Yuanyuan Zeng; He Nai; Xiaoli Zhang; Xianlong Zhao; Wen Du; Haining Ye (SmartCom, 2019)

Elastic_HH: Tailored Elastic for Finding Heavy Hitters. - Xilai Liu; Bingqing Liu; Tong Yang 003; Gaogang Xie (CoRR, 2019)

Oceanic Internal Waves in the Sulu-Celebes Sea Under Sunglint and Moonglint. - Bingqing Liu; Eurico J. D'Sa (IEEE Trans. Geosci. Remote. Sens., 2019)

An Overview of Gaussian process Regression for Volatility Forecasting. - Bingqing Liu; Ivan Kiskin; Stephen Roberts 001 (ICAIIC, 2020)

Analysis of 4 imaging features in patients with COVID-19. - Jun Jin 004; Dehong Gao; Xin Mo; Si-ping Tan; Zhen-xia Kou; Yi-bo Chen; Jin-bo Cao; Wen-Jing Chen; Ya-ming Zhang; Bingqing Liu; Kuan-long Huang; Bing-ren Xu; et al. (BMC Medical Imaging, 2020)

An electric vehicle charging station access equilibrium model with M/D/C queueing. - Bingqing Liu; Theodoros P. Pantelidis; Stephanie Tam; Joseph Y. J. Chow (CoRR, 2021)

A DEALG methodology for prediction of effective customers of internet financial loan products. - Weiwei Zhu; Bingqing Liu; Zifang Lu; Yu Yu (J. Oper. Res. Soc., 2021)

Prediction of the Impact of Mobile Payments on the Consumption of Individual Nodes on Communication Networks. - Xiangbin Kong; Xiuping Ouyang; Hao Li; Min Lin; Xiang Chen; Juan Liao; Huifang Liu; Bingqing Liu (CSCloud/EdgeCom, 2022)

Link-Aware Link Prediction over Temporal Graph by Pattern Recognition. - Bingqing Liu; Xikun Huang (IEA/AIE (1), 2023)

On-demand Mobility-as-a-Service platform assignment games with guaranteed stable outcomes. - Bingqing Liu; Joseph Y. J. Chow (CoRR, 2023)

Uncovering Gender Stereotypes in Video Game Character Designs: A Multi-Modal Analysis of Honor of Kings. - Bingqing Liu; Kyrie Zhixuan Zhou; Danlei Zhu; Jaihyun Park (CoRR, 2023)

Quantifying the Potential Contribution of Submerged Aquatic Vegetation to Coastal Carbon Capture in a Delta System from Field and Landsat 8/9-Operational Land Imager (OLI) Data with Deep Convolutional Neural Network. - Bingqing Liu; Tom Sevick; Hoonshin Jung; Erin Kiskaddon; Tim Carruthers (Remote. Sens., 2023)

A Case-Based Reasoning and Explaining Model for Temporal Point Process. - Bingqing Liu (ICCBR, 2024)

Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning. - Bingqing Liu (IJCNN, 2024)

2FA Sketch: Two-Factor Armor Sketch for Accurate and Efficient Heavy Hitter Detection in Data Streams. - Xilai Liu; Xinyi Zhang 004; Bingqing Liu; Tao Li 008; Tong Yang 003; Gaogang Xie (NPC (2), 2024)

Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records. - Bingqing Liu (CoRR, 2024)

HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments. - Bingqing Liu; Qiusheng Wu (J. Open Source Softw., 2024)

Modelling event sequence data by type-wise neural point process. - Bingqing Liu (Data Min. Knowl. Discov., 2024)

An operation-agnostic stochastic user equilibrium model for mobility-on-demand networks with congestible capacities. - Bingqing Liu; David P. Watling; Joseph Y. J. Chow (Eur. J. Oper. Res., 2025)

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions. - Jiadong Lou; Bingqing Liu; Yuanheng Xiong; Xiaodong Zhang 020; Xu Yuan 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions. - Jiadong Lou; Bingqing Liu; Yuanheng Xiong; Xiaodong Zhang; Xu Yuan (CoRR, 2025)