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Weiyang Liu

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

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (10)
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)

Research topics

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