Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets. - Xin Liu 091; Junchi Yan; Xiangfeng Wang; Hongyuan Zha (CCPR (2), 2016)

On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. - Xin Liu 091; Junchi Yan; Shuai Xiao 002; Xiangfeng Wang; Hongyuan Zha; Stephen M. Chu (AAAI, 2017)

Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. - Junchi Yan; Xin Liu 091; Liangliang Shi; Changsheng Li; Hongyuan Zha (IJCAI, 2018)

Deep Convolutional Network for Citrus Leaf Diseases Recognition. - Quan Chen; Xin Liu 091; Caixia Dong; Tong Tong; Changcai Yang; Riqing Chen; Tengyue Zou; Xiaolang Yang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Robust Feature Matching via Two Constraints Interaction. - Yizhang Liu; Yanping Li; Zheling Xu; Xiaoliang Lu; Xin Liu 091; Luanyuan Dai; Xiong Pan; Changcai Yang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Learning Two-View Correspondences and Geometry via Local Neighborhood Correlation. - Luanyuan Dai; Xin Liu 091; Jingtao Wang; Changcai Yang; Riqing Chen (Entropy, 2021)

Enhancing two-view correspondence learning by local-global self-attention. - Luanyuan Dai; Xin Liu 091; Yizhang Liu; Changcai Yang; Lifang Wei; Yaohai Lin; Riqing Chen (Neurocomputing, 2021)

SCSA-Net: Presentation of two-view reliable correspondence learning via spatial-channel self-attention. - Xin Liu 091; Guobao Xiao; Luanyuan Dai; Kun Zeng; Changcai Yang; Riqing Chen (Neurocomputing, 2021)

Point2CN: Progressive two-view correspondence learning via information fusion. - Xin Liu 091; Guobao Xiao; Zuoyong Li; Riqing Chen (Signal Process., 2021)

MANet: Multi-Scale Attention Network for Correspondence Learning. - Yukai Chen; Linxin Zheng; Xin Liu 091; Guobao Xiao (IEEE Signal Process. Lett., 2021)

RANet: A relation-aware network for two-view correspondence learning. - Guorong Lin; Xin Liu 091; Fangfang Lin; Guobao Xiao; Jiayi Ma 001 (Neurocomputing, 2022)

Progressive Neighbor Consistency Mining for Correspondence Pruning. - Xin Liu 091; Jufeng Yang (CVPR, 2023)

PG-Net: Progressive Guidance Network via Robust Contextual Embedding for Efficient Point Cloud Registration. - Jingtao Wang; Xin Liu 091; Luanyuan Dai; Jiayi Ma 001; Lifang Wei; Changcai Yang; Riqing Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

PGFNet: Preference-Guided Filtering Network for Two-View Correspondence Learning. - Xin Liu 091; Guobao Xiao; Riqing Chen; Jiayi Ma 001 (IEEE Trans. Image Process., 2023)

Progressive correspondence learning by effective multi-channel aggregation. - Xin Liu 091; Shunxing Chen; Guobao Xiao; Changcai Yang; Riqing Chen (Neurocomputing, 2024)

NCMNet: Neighbor Consistency Mining Network for Two-View Correspondence Pruning. - Xin Liu 091; Rong Qin 001; Junchi Yan; Jufeng Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

T-Net++: Effective Permutation-Equivariance Network for Two-View Correspondence Pruning. - Guobao Xiao; Xin Liu 091; Zhen Zhong; Xiaoqin Zhang 002; Jiayi Ma 001; Haibin Ling (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition. - Rong Qin 001; Xin Liu 091; Xingyu Liu; Jiaxuan Liu; Jinglei Shi; Liang Lin; Jufeng Yang (CVPR, 2025)