Caihua Liu

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems

Shufeng Kong, Yanchen Deng, Bo An, 2022, NeurIPS.

Dropout non-negative matrix factorization

Yalou Huang, Airu Yin, Caihua Liu, 2018, Knowledge and Information Systems.

A Scale Aggregation and Spatial-Aware Network for Multi-View Crowd Counting

Caihua Liu, Tao Xu, Xinyu He, 2022, IEEE Access.

Multi-granularity sequence labeling model for acronym expansion identification

Yalou Huang, Jie Liu, Caihua Liu, 2017, Inf. Sci..

Latent Dynamic Token Vision Transformer for Pedestrian Attribute Recognition

Jiaxian Guo, Caihua Liu, Xia Feng, 2022, 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta).

Dropout Non-negative Matrix Factorization for Independent Feature Learning

Yalou Huang, Yuan Wang, Jie Liu, 2016, NLPCC/ICCPOL.

An Enhanced Scale Robust Network for Crowd Counting

Yinong Duan, Tao Xu, Jiahao Du, 2020, IEEE Access.

Dropout non-negative matrix factorization

Jie Liu, Yalou Huang, Yuan Wang, 2018, Knowledge and Information Systems.

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation

Shufeng Kong, Chong-Jun Wang, Xiaohu Wu, 2023, IJCAI.

ScaleMix: Intra- And Inter-Layer Multiscale Feature Combination for Change Detection

Yuxiang Zhang, Rui Huang, Ruofei Wang, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Handwritten character recognition with sequential convolutional neural network

Jie Liu, Fang Yu, Caihua Liu, 2013, 2013 International Conference on Machine Learning and Cybernetics.