← Authors

Weiyang Liu

48 papers · 2015–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (75) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ“ˆ Trend Setter ❓ The Questioner πŸ—ƒοΈ Keyword Collector (171) πŸ’Ž Century Club (48)

Conferences

ICLR (10) NIPS (10) CVPR (9) ICML (6) AISTATS (4) ICCV (3) ECCV (2) EMNLP (2) IJCAI (1) UAI (1)

Top co-authors

Zhen Liu (17) Adrian Weller (15) Le Song (13) Bernhard SchΓΆlkopf (13) Zhiding Yu (9) Yandong Wen (7) Bo Dai (7) Michael J. Black (6) Zeju Qiu (6) Yao Feng (6)

Research topics

Education (1)

Keywords

convolutional neural network (7) machine teaching (5) metric learning (4) hyperspherical energy (4) iterative machine teaching (4) sample complexity (3) active learning (3) representation learning (3) iterative teaching (3) model compression (3) neural network regularization (3) neural network optimization (3) domain generalization (2) text-to-image diffusion (2) orthogonal finetuning (2) vision-language model (2) convergence rate (2) feature embedding (2) face recognition (2) transfer learning (2)

Papers

Orthogonal Finetuning Made Scalable EMNLP 2025
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator ICML 2025
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector AISTATS 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets ICLR 2025
ChatHuman: Chatting about 3D Humans with Tools CVPR 2025
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models CVPR 2025
Can Large Language Models Understand Symbolic Graphics Programs? ICLR 2025
In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs CVPR 2024
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization ICLR 2024
Ghost on the Shell: An Expressive Representation of General 3D Shapes ICLR 2024
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models ICLR 2024
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NIPS 2024
Nonparametric Teaching for Multiple Learners NIPS 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning NIPS 2023
Nonparametric Iterative Machine Teaching ICML 2023
Iterative Teaching by Data Hallucination AISTATS 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap ICLR 2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling ICLR 2023
Pairwise Similarity Learning is SimPLE ICCV 2023
One-shot Implicit Animatable Avatars with Model-based Priors ICCV 2023
Human-in-the-Loop Mixup UAI 2023
Structural Causal 3D Reconstruction ECCV 2022
SphereFace2: Binary Classification is All You Need for Deep Face Recognition ICLR 2022
Towards Principled Disentanglement for Domain Generalization CVPR 2022
Provable Lifelong Learning of Representations AISTATS 2022
Pre-training Molecular Graph Representation with 3D Geometry ICLR 2022
Orthogonal Over-Parameterized Training CVPR 2021
Locality Sensitive Teaching NIPS 2021
Iterative Teaching by Label Synthesis NIPS 2021
Learning with Hyperspherical Uniformity AISTATS 2021
Self-Supervised 3D Face Reconstruction via Conditional Estimation ICCV 2021
Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020
Angular Visual Hardness ICML 2020
Neural Similarity Learning NIPS 2019
Meta Architecture Search NIPS 2019
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces ICLR 2019
Learning towards Minimum Hyperspherical Energy NIPS 2018
Simultaneous Edge Alignment and Learning ECCV 2018
Iterative Learning With Open-Set Noisy Labels CVPR 2018
Decoupled Networks CVPR 2018
Towards Black-box Iterative Machine Teaching ICML 2018
Coupled Variational Bayes via Optimization Embedding NIPS 2018
SphereFace: Deep Hypersphere Embedding for Face Recognition CVPR 2017
Deep Hyperspherical Learning NIPS 2017
Iterative Machine Teaching ICML 2017
Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016
Generalized Transitive Distance with Minimum Spanning Random Forest IJCAI 2015