Weiyang Liu

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 106

Top Venues

Publications

Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf
Ghost on the Shell: An Expressive Representation of General 3D Shapes. ICLR (2024)
Andi Zhang, Tim Z. Xiao, Weiyang Liu, Robert Bamler, Damon Wischik
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector. CoRR (2024)
Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. CoRR (2024)
Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore R. Sumers, Michalis Korakakis, Umang Bhatt, Mark K. Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary A. Pardos, Adrian Weller, Thomas L. Griffiths
Representational Alignment Supports Effective Machine Teaching. CoRR (2024)
Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. ICLR (2024)
Jing Lin, Yao Feng, Weiyang Liu, Michael J. Black
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning. CoRR (2024)
Peter Kulits, Haiwen Feng, Weiyang Liu, Victoria Fernández Abrevaya, Michael J. Black
Re-Thinking Inverse Graphics With Large Language Models. CoRR (2024)
Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing
Iterative Graph Self-Distillation. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Tim Z. Xiao, Robert Bamler, Bernhard Schölkopf, Weiyang Liu
Verbalized Machine Learning: Revisiting Machine Learning with Language Models. CoRR (2024)
Tim Z. Xiao, Weiyang Liu, Robert Bamler
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry. CoRR (2024)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR (2024)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
Human-in-the-Loop Mixup. UAI (2023)
Jiaqiang Wang, Bifeng Hu, Weiyang Liu, Defang Luo, Jie Peng
Characterizing Soil Profile Salinization in Cotton Fields Using Landsat 8 Time-Series Data in Southern Xinjiang, China. Sensors 23 (15) (2023)
Yao Feng, Weiyang Liu, Timo Bolkart, Jinlong Yang, Marc Pollefeys, Michael J. Black
Learning Disentangled Avatars with Hybrid 3D Representations. CoRR (2023)
Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf
Pairwise Similarity Learning is SimPLE. ICCV (2023)
Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
Data-Efficient Learning via Minimizing Hyperspherical Energy. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Teaching for Multiple Learners. CoRR (2023)
Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai
One-shot Implicit Animatable Avatars with Model-based Priors. ICCV (2023)
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
MeshDiffusion: Score-based Generative 3D Mesh Modeling. ICLR (2023)
Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. CoRR (2023)
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
Controlling Text-to-Image Diffusion by Orthogonal Finetuning. CoRR (2023)
Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf
Pairwise Similarity Learning is SimPLE. CoRR (2023)
Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf
Ghost on the Shell: An Expressive Representation of General 3D Shapes. CoRR (2023)
Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. CoRR (2023)
Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. ICLR (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Iterative Machine Teaching. ICML (2023)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR (2023)
Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller
SphereFace Revived: Unifying Hyperspherical Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Iterative Machine Teaching. CoRR (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Teaching for Multiple Learners. NeurIPS (2023)
Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller
Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. MICCAI (2) (2023)
Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. CoRR (2023)
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
Controlling Text-to-Image Diffusion by Orthogonal Finetuning. NeurIPS (2023)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. Trans. Mach. Learn. Res. 2023 (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. AISTATS (2023)
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
MeshDiffusion: Score-based Generative 3D Mesh Modeling. CoRR (2023)
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
Iterative Teaching by Data Hallucination. CoRR (2022)
Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
Structural Causal 3D Reconstruction. CoRR (2022)
Yang Yan, Kader Kayem, Ye Hao, Zhou Shi, Chao Zhang, Jie Peng, Weiyang Liu, Qiang Zuo, Wenjun Ji, Baoguo Li
Mapping the Levels of Soil Salination and Alkalization by Integrating Machining Learning Methods and Soil-Forming Factors. Remote. Sens. 14 (13) (2022)
Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai
One-shot Implicit Animatable Avatars with Model-based Priors. CoRR (2022)
Xinyuan Cao, Weiyang Liu, Santosh S. Vempala
Provable Lifelong Learning of Representations. AISTATS (2022)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4 (4) (2022)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. CoRR (2022)
Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
Data-Efficient Learning via Minimizing Hyperspherical Energy. CoRR (2022)
Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing
Towards Principled Disentanglement for Domain Generalization. CVPR (2022)
Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
Pre-training Molecular Graph Representation with 3D Geometry. ICLR (2022)
Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh
SphereFace2: Binary Classification is All You Need for Deep Face Recognition. ICLR (2022)
Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
Structural Causal 3D Reconstruction. ECCV (1) (2022)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller
Web-based Elicitation of Human Perception on mixup Data. CoRR (2022)
Yandong Wen, Weiyang Liu, Bhiksha Raj, Rita Singh
Self-Supervised 3D Face Reconstruction via Conditional Estimation. CoRR (2021)
Xinyuan Cao, Weiyang Liu, Santosh S. Vempala
Provable Lifelong Learning of Representations. CoRR (2021)
Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh
SphereFace2: Binary Classification is All You Need for Deep Face Recognition. CoRR (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
Learning with Hyperspherical Uniformity. AISTATS (2021)
Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing
Towards Principled Disentanglement for Domain Generalization. CoRR (2021)
Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava
Locality Sensitive Teaching. NeurIPS (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
Orthogonal Over-Parameterized Training. CVPR (2021)
Yandong Wen, Weiyang Liu, Bhiksha Raj, Rita Singh
Self-Supervised 3D Face Reconstruction via Conditional Estimation. ICCV (2021)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR (2021)
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
Iterative Teaching by Label Synthesis. NeurIPS (2021)
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
Iterative Teaching by Label Synthesis. CoRR (2021)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3 (12) (2021)
Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
Pre-training Molecular Graph Representation with 3D Geometry. CoRR (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
Learning with Hyperspherical Uniformity. CoRR (2021)
Jiaqiang Wang, Jie Peng, Hongyi Li, Caiyun Yin, Weiyang Liu, Tianwei Wang, Huaping Zhang
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China. Remote. Sens. 13 (2) (2021)
Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller
SphereFace Revived: Unifying Hyperspherical Face Recognition. CoRR (2021)
Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar
Angular Visual Hardness. ICML (2020)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
Orthogonal Over-Parameterized Training. CoRR (2020)
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR (2020)
Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing
Iterative Graph Self-Distillation. CoRR (2020)
Hongyi Li, Xinlu Liu, Bifeng Hu, Asim Biswas, Qingsong Jiang, Weiyang Liu, Nan Wang, Jie Peng
Field-Scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions. Remote. Sens. 12 (24) (2020)
Zhen Tang, Bing Wang, Xiang Gao, Weiyang Liu, Lingyan Wei
L2 Disturbance Suppression Controller Design for Multiple Time Delays Offshore Wind Turbines. IEEE Access 8 (2020)
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
Compressive Hyperspherical Energy Minimization. CoRR (2019)
Yandong Wen, Mahmoud Al Ismail, Weiyang Liu, Bhiksha Raj, Rita Singh
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces. ICLR (Poster) (2019)
Weiyang Liu, Zhen Liu, James M. Rehg, Le Song
Neural Similarity Learning. CoRR (2019)
Weiyang Liu, Zhen Liu, James M. Rehg, Le Song
Neural Similarity Learning. NeurIPS (2019)
Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar
Angular Visual Hardness. CoRR (2019)
Albert Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai
Meta Architecture Search. NeurIPS (2019)
Feng Wang, Weiyang Liu, Hanjun Dai, Haijun Liu, Jian Cheng
Additive Margin Softmax for Face Verification. ICLR (Workshop) (2018)
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
Decoupled Networks. CoRR (2018)
Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song
Coupled Variational Bayes via Optimization Embedding. NeurIPS (2018)
Feng Wang, Jian Cheng, Weiyang Liu, Haijun Liu
Additive Margin Softmax for Face Verification. IEEE Signal Process. Lett. 25 (7) (2018)
Yandong Wen, Mahmoud Al Ismail, Weiyang Liu, Bhiksha Raj, Rita Singh
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces. CoRR (2018)
Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng
Additive Margin Softmax for Face Verification. CoRR (2018)
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
Iterative Learning With Open-Set Noisy Labels. CVPR (2018)
Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz
Simultaneous Edge Alignment and Learning. ECCV (3) (2018)
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
Decoupled Networks. CVPR (2018)
Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
Learning towards Minimum Hyperspherical Energy. CoRR (2018)
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
Iterative Learning with Open-set Noisy Labels. CoRR (2018)
Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song
Towards Black-box Iterative Machine Teaching. ICML (2018)
Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz
Simultaneous Edge Alignment and Learning. CoRR (2018)
Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
Learning towards Minimum Hyperspherical Energy. NeurIPS (2018)
Albert Shaw, Bo Dai, Weiyang Liu, Le Song
Bayesian Meta-network Architecture Learning. CoRR (2018)
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song
Deep Hyperspherical Learning. NIPS (2017)
Weiyang Liu, Bo Dai, James M. Rehg, Le Song
Iterative Machine Teaching. CoRR (2017)
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song
Deep Hyperspherical Learning. CoRR (2017)
Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song
Towards Black-box Iterative Machine Teaching. CoRR (2017)
Meng Yang, Xing Wang, Weiyang Liu, Linlin Shen
Joint regularized nearest points for image set based face recognition. Image Vis. Comput. 58 (2017)
Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song
Iterative Machine Teaching. ICML (2017)
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
SphereFace: Deep Hypersphere Embedding for Face Recognition. CVPR (2017)
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
SphereFace: Deep Hypersphere Embedding for Face Recognition. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Weiyang Liu