Weiyang Liu
University of Cambridge
H-index: 27
Europe-United Kingdom
Top articles of Weiyang Liu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Ghost on the Shell: An Expressive Representation of General 3D Shapes | Zhen Liu Yao Feng Yuliang Xiu Weiyang Liu Liam Paull | 2024 | |
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector | arXiv preprint arXiv:2404.08679 | Andi Zhang Tim Z Xiao Weiyang Liu Robert Bamler Damon Wischik | 2024/4/7 |
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision | arXiv preprint arXiv:2403.09472 | Zhiqing Sun Longhui Yu Yikang Shen Weiyang Liu Yiming Yang | 2024/3/14 |
Metamath: Bootstrap your own mathematical questions for large language models | ICLR 2024 (arXiv preprint arXiv:2309.12284) | Longhui Yu Weisen Jiang Han Shi Jincheng Yu Zhengying Liu | 2024 |
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs | Gege Gao Weiyang Liu Anpei Chen Andreas Geiger Bernhard Schölkopf | 2024 | |
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization | Weiyang Liu Zeju Qiu Yao Feng Yuliang Xiu Yuxuan Xue | 2024 | |
Re-Thinking Inverse Graphics with Large Language Models | arXiv preprint arXiv:2404.15228 | Peter Kulits Haiwen Feng Weiyang Liu Victoria Abrevaya Michael J Black | 2024/4/23 |
Human-in-the-loop mixup | Katherine M Collins Umang Bhatt Weiyang Liu Vihari Piratla Ilia Sucholutsky | 2023 | |
Nonparametric Iterative Machine Teaching | Chen Zhang Xiaofeng Cao Weiyang Liu Ivor Tsang James Kwok | 2023/6/5 | |
Iterative Teaching by Data Hallucination | Zeju Qiu* Weiyang Liu* Tim Z Xiao Zhen Liu Umang Bhatt | 2023 | |
Physics-based Decoding Improves Magnetic Resonance Fingerprinting | Juyeon Heo Pingfan Song Weiyang Liu Adrian Weller | 2023 | |
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry | arXiv preprint arXiv:2401.00611 | Tim Z Xiao Weiyang Liu Robert Bamler | 2023/12/31 |
Continual Learning by Modeling Intra-Class Variation | Transactions on Machine Learning Research (arXiv preprint arXiv:2210.05398) | Longhui Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller | 2023 |
Pairwise Similarity Learning is SimPLE | Yandong Wen* Weiyang Liu* Yao Feng Bhiksha Raj Rita Singh | 2023 | |
Nonparametric Teaching for Multiple Learners | Chen Zhang Xiaofeng Cao Weiyang Liu Ivor Tsang James Kwok | 2023/11 | |
Data-Efficient Learning via Minimizing Hyperspherical Energy | IEEE Transactions on Pattern Analysis and Machine Intelligence (arXiv preprint arXiv:2206.15204) | Xiaofeng Cao Weiyang Liu Ivor W Tsang | 2023 |
MeshDiffusion: Score-based Generative 3D Mesh Modeling | Zhen Liu Yao Feng Michael J Black Derek Nowrouzezahrai Liam Paull | 2023 | |
Learning Disentangled Avatars with Hybrid 3D Representations | arXiv preprint arXiv:2309.06441 | Yao Feng Weiyang Liu Timo Bolkart Jinlong Yang Marc Pollefeys | 2023/9/12 |
Iterative Graph Self-Distillation | IEEE Transactions on Knowledge and Data Engineering (arXiv preprint arXiv:2010.12609) | Hanlin Zhang Shuai Lin Weiyang Liu Pan Zhou Jian Tang | 2023 |
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap | Weiyang Liu Longhui Yu Adrian Weller Bernhard Schölkopf | 2023 |
Co-Authors
