You've Got Answers: Towards Personalized Models for Predicting Success in Community Question Answering. - Yandong Liu; Eugene Agichtein (ACL (2), 2008)

A few bad votes too many?: towards robust ranking in social media. - Jiang Bian 002; Yandong Liu; Eugene Agichtein; Hongyuan Zha (AIRWeb, 2008)

CoCQA: Co-Training over Questions and Answers with an Application to Predicting Question Subjectivity Orientation. - Baoli Li 001; Yandong Liu; Eugene Agichtein (EMNLP, 2008)

Exploring question subjectivity prediction in community QA. - Baoli Li 001; Yandong Liu; Ashwin Ram 001; Ernest V. Garcia; Eugene Agichtein (SIGIR, 2008)

On the evolution of the yahoo! answers QA community. - Yandong Liu; Eugene Agichtein (SIGIR, 2008)

Predicting information seeker satisfaction in community question answering. - Yandong Liu; Jiang Bian 002; Eugene Agichtein (SIGIR, 2008)

Combining Lexical, Syntactic, and Semantic Evidence for Textual Entailment Classification. - Eugene Agichtein; Walt Askew; Yandong Liu (TAC, 2008)

Finding the right facts in the crowd: factoid question answering over social media. - Jiang Bian 002; Yandong Liu; Eugene Agichtein; Hongyuan Zha (WWW, 2008)

Is this urgent?: exploring time-sensitive information needs in collaborative question answering. - Yandong Liu; Nitya Narasimhan; Venu Vasudevan; Eugene Agichtein (SIGIR, 2009)

Learning to recognize reliable users and content in social media with coupled mutual reinforcement. - Jiang Bian 002; Yandong Liu; Ding Zhou; Eugene Agichtein; Hongyuan Zha (WWW, 2009)

Modeling information-seeker satisfaction in community question answering. - Eugene Agichtein; Yandong Liu; Jiang Bian 002 (ACM Trans. Knowl. Discov. Data, 2009)

Exploring web browsing context for collaborative question answering. - Qiaoling Liu; Yandong Liu; Eugene Agichtein (IIiX, 2010)

Efficient Relational Learning with Hidden Variable Detection. - Ni Lao; Jun Zhu 001; Xinwang Liu; Yandong Liu; William W. Cohen (NIPS, 2010)

Effects of community size and contact rate in synchronous social q&a. - Ryen W. White; Matthew Richardson; Yandong Liu (CHI, 2011)

Modeling of yield strength for IF steel based on BP neural network. - Jin Wang; Qiang Qu; Yandong Liu (iCAST, 2011)

A Generalized Fast Subset Sums Framework for Bayesian Event Detection. - Kan Shao; Yandong Liu; Daniel B. Neill (ICDM, 2011)

Finding the right consumer: optimizing for conversion in display advertising campaigns. - Yandong Liu; Sandeep Pandey; Deepak Agarwal; Vanja Josifovski (WSDM, 2012)

Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams. - Abhinav Maurya; Kenton Murray; Yandong Liu; Chris Dyer; William W. Cohen; Daniel B. Neill (CoRR, 2016)

A novel swarm robot simulation platform for warehousing logistics. - Yandong Liu; Lujia Wang 001; Huaiyang Huang; Ming Liu 001; Cheng-Zhong Xu 001 (ROBIO, 2017)

Deep Reinforcement Learning based Smart Mitigation of DDoS Flooding in Software-Defined Networks. - Yandong Liu; Mianxiong Dong; Kaoru Ota; Jianhua Li 001; Jun Wu 001 (CAMAD, 2018)

Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak. - Tianyu Liu; Qinghai Liao; Lu Gan 001; Fulong Ma; Jie Cheng 008; Xupeng Xie; Zhe Wang 013; Yingbing Chen; Yilong Zhu; Shuyang Zhang; Zhengyong Chen; Yang Liu 208; et al. (CoRR, 2020)

A Novel Labour Division Strategy based on fixed response Threshold Model for Warehouse Systems. - Yandong Liu; Lujia Wang 001; Ming Liu 001; Cheng-Zhong Xu 001 (Int. J. Robotics Autom., 2020)

Recurrent Neural Networks With External Addressable Long-Term and Working Memory for Learning Long-Term Dependences. - Zhibin Quan; Weili Zeng; Xuelian Li; Yandong Liu; Yunxiu Yu; Wankou Yang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments. - Yandong Liu; Chengzhong Xu 001; Hui Kong 001 (CoRR, 2021)

The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation. - Tianyu Liu; Qinghai Liao; Lu Gan 001; Fulong Ma; Jie Cheng 008; Xupeng Xie; Zhe Wang 013; Yingbing Chen; Yilong Zhu; Shuyang Zhang; Zhengyong Chen; Yang Liu 208; et al. (IEEE Robotics Autom. Mag., 2021)

Novel Topological Relationship solutions to the ALV Multi-indegree-Multi-outdegree Task sequence Planning Problem. - Yandong Liu; Dong Han; Lujia Wang 001; Cheng-Zhong Xu 001 (Int. J. Robotics Autom., 2022)

A Novel Scheme for Stripping the Gravity Effects Due to the Shallow Coverage Layer. - Yandong Liu; Jun Wang 124; Xiaohong Meng; Yuan Fang (IEEE Geosci. Remote. Sens. Lett., 2023)

A Novel Method for Eliminating the Strip-Shaped Interferences in Aeromagnetic Anomaly Based on Convolutional Neural Network. - Jun Wang 124; Zhiwen Zhou 002; Xiaohong Meng; Yandong Liu; Yuan Fang (IEEE Trans. Geosci. Remote. Sens., 2023)

A GRU-CNN Algorithm Leveraging on User Reviews. - Chao Chen 044; Yongsheng Xia; Zhaoli Wu; Yandong Liu; Xin Wang 093 (Int. J. Pattern Recognit. Artif. Intell., 2023)

An Improved Method for High-Precision Delineation of the Basement Relief Base on Gravity Inversion Using Multiconstraints From Borehole Data. - Yandong Liu; Jun Wang 124; Fang Li; Linfei Wang; Xiaohong Meng (IEEE Trans. Geosci. Remote. Sens., 2024)

Estimation of Antarctic Ice Sheet Thickness Based on 3D Density Interface Inversion Considering Terrain and Undulating Observation Surface Simultaneously. - Yandong Liu; Jun Wang; Fang Li; Xiaohong Meng (Remote. Sens., 2024)

Artificial Intelligence and Blockchain Technology Drive Leadership Decision-Making Research Group Recommendation Algorithm. - Chao Chen 044; Yandong Liu; Xin Wang 153; Yongsheng Xia (Int. J. Comput. Intell. Appl., 2024)

A Stable Method for Estimating the Derivatives of Potential Field Data Based on Deep Learning. - Yandong Liu; Jun Wang 124; Weichen Li; Fang Li; Yuan Fang; Xiaohong Meng (IEEE Geosci. Remote. Sens. Lett., 2025)

FutuTP: Future-based trajectory prediction for autonomous driving. - Qingchao Xu; Yandong Liu; Shixi Wen; Xin Yang 011; Dongsheng Zhou (Appl. Intell., 2025)

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification. - Chunjiang Wang; Kun Zhang 040; Yandong Liu; Zhiyang He; Xiaodong Tao; S. Kevin Zhou (CoRR, 2025)