Weiyang Liu

CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection CVPR 2026 On the Effect of Sampling Diversity in Scaling LLM Inference UAI 2026 Can Large Language Models Understand Symbolic Graphics Programs? ICLR 2025 ChatHuman: Chatting about 3D Humans with Tools CVPR 2025 Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets ICLR 2025 Orthogonal Finetuning Made Scalable EMNLP 2025 SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator ICML 2025 VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models CVPR 2025 Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector AISTATS 2025 Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NeurIPS 2024 Ghost on the Shell: An Expressive Representation of General 3D Shapes ICLR 2024 GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs CVPR 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models ICLR 2024 Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization ICLR 2024 Controlling Text-to-Image Diffusion by Orthogonal Finetuning NeurIPS 2023 Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap ICLR 2023 Human-in-the-Loop Mixup UAI 2023 Iterative Teaching by Data Hallucination AISTATS 2023 MeshDiffusion: Score-based Generative 3D Mesh Modeling ICLR 2023 Nonparametric Iterative Machine Teaching ICML 2023 Nonparametric Teaching for Multiple Learners NeurIPS 2023 One-shot Implicit Animatable Avatars with Model-based Priors ICCV 2023 Pairwise Similarity Learning is SimPLE ICCV 2023 Pre-training Molecular Graph Representation with 3D Geometry ICLR 2022 Provable Lifelong Learning of Representations AISTATS 2022 SphereFace2: Binary Classification is All You Need for Deep Face Recognition ICLR 2022 Structural Causal 3D Reconstruction ECCV 2022 Towards Principled Disentanglement for Domain Generalization CVPR 2022 Iterative Teaching by Label Synthesis NeurIPS 2021 Learning with Hyperspherical Uniformity AISTATS 2021 Locality Sensitive Teaching NeurIPS 2021 Orthogonal Over-Parameterized Training CVPR 2021 Self-Supervised 3D Face Reconstruction via Conditional Estimation ICCV 2021 Angular Visual Hardness ICML 2020 Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020 Disjoint Mapping Network for Cross-modal Matching of Voices and Faces ICLR 2019 Meta Architecture Search NeurIPS 2019 Neural Similarity Learning NeurIPS 2019 Coupled Variational Bayes via Optimization Embedding NeurIPS 2018 Decoupled Networks CVPR 2018 Iterative Learning With Open-Set Noisy Labels CVPR 2018 Learning towards Minimum Hyperspherical Energy NeurIPS 2018 Simultaneous Edge Alignment and Learning ECCV 2018 Towards Black-box Iterative Machine Teaching ICML 2018 Deep Hyperspherical Learning NeurIPS 2017 Iterative Machine Teaching ICML 2017 SphereFace: Deep Hypersphere Embedding for Face Recognition CVPR 2017 Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016 Generalized Transitive Distance with Minimum Spanning Random Forest IJCAI 2015