Zhang, Guoqiang

10 publications

ICML 2025 On Exact Bit-Level Reversible Transformers Without Changing Architecture Guoqiang Zhang, Jp Lewis, W. Bastiaan Kleijn

NeurIPS 2025 Revisiting 1-Peer Exponential Graph for Enhancing Decentralized Learning Efficiency Kenta Niwa, Yuki Takezawa, Guoqiang Zhang, W. Bastiaan Kleijn

ECCV 2024 Exact Diffusion Inversion via Bidirectional Integration Approximation Guoqiang Zhang, J.P. Lewis, W. Bastiaan Kleijn

ICLR 2024 On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

ECML-PKDD 2024 On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance Guoqiang Zhang

TMLR 2023 A DNN Optimizer That Improves over AdaBelief by Suppression of the Adaptive Stepsize Range Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

CVPR 2023 Lookahead Diffusion Probabilistic Models for Refining Mean Estimation Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

ICML 2021 Asynchronous Decentralized Optimization with Implicit Stochastic Variance Reduction Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino

ECML-PKDD 2014 Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization Guoqiang Zhang, Richard Heusdens

CVPR 2006 Motion Estimation from Spheres Guoqiang Zhang, Kwan-Yee Kenneth Wong