Liu, Cheng

12 publications

AAAI 2025 Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Shuyin Xia, Xinjun Ma, Zhiyuan Liu, Cheng Liu, Sen Zhao, Guoyin Wang

NeurIPS 2025 OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Yiren Song, Cheng Liu, Mike Zheng Shou

CVPR 2024 Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration Lianxin Xie, Csbingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau San Wong

NeurIPS 2024 LinNet: Linear Network for Efficient Point Cloud Representation Learning Hao Deng, Kunlei Jing, Shengmei Cheng, Cheng Liu, Jiawei Ru, Jiang Bo, Lin Wang

NeurIPS 2024 Ordering-Based Causal Discovery for Linear and Nonlinear Relations Zhuopeng Xu, Yujie Li, Cheng Liu, Ning Gui

AAAI 2024 RetouchFormer: Semi-Supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong

IJCAI 2024 SCTrans: Multi-Scale scRNA-Seq Sub-Vector Completion Transformer for Gene-Selective Cell Type Annotation Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong

ICLR 2023 MA-BERT: Towards Matrix Arithmetic-Only BERT Inference by Eliminating Complex Non-Linear Functions Neo Wei Ming, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, Tao Luo

CVPR 2023 Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau San Wong

ICLR 2020 Linear Symmetric Quantization of Neural Networks for Low-Precision Integer Hardware Xiandong Zhao, Ying Wang, Xuyi Cai, Cheng Liu, Lei Zhang

IJCAI 2019 Improving Representation Learning in Autoencoders via Multidimensional Interpolation and Dual Regularizations Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong

ACML 2019 SDC-Causing Error Detection Based on Lightweight Vulnerability Prediction Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang