Liu, Bowen

11 publications

AAAI 2025 PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration Among Similar Classifiers Siyuan Wu, Yongzhe Jia, Bowen Liu, Haolong Xiang, Xiaolong Xu, Wanchun Dou

AAAI 2025 Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu, Haoyang Li, Shuning Wang, Shuo Nie, Shanghang Zhang

WACV 2024 VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data Boyang Wang, Bowen Liu, Shiyu Liu, Fengyu Yang

CVPR 2023 MMVC: Learned Multi-Mode Video Compression with Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding Bowen Liu, Yu Chen, Rakesh Chowdary Machineni, Shiyu Liu, Hun-Seok Kim

CVPR 2021 Deep Learning in Latent Space for Video Prediction and Compression Bowen Liu, Yu Chen, Shiyu Liu, Hun-Seok Kim

NeurIPSW 2021 Regression Modeling on DNA Encoded Libraries Ralph Ma, Gabriel H. S. Dreiman, Fiorella Ruggiu, Adam Joseph Riesselman, Bowen Liu, Keith James, Mohammad Sultan, Daphne Koller

CVPR 2021 Simultaneously Localize, Segment and Rank the Camouflaged Objects Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan

CVPR 2021 Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai

NeurIPS 2020 Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec

ICLR 2020 Strategies for Pre-Training Graph Neural Networks Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay Pande, Jure Leskovec

NeurIPS 2018 Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay Pande, Jure Leskovec