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2020 – today
- 2024
[j20]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): 1161-1169 (2024)- [c60]Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf:
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. CVPR 2024: 21295-21304 - [c59]Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu:
In Defense of Structural Sparse Adapters for Concurrent LLM Serving. EMNLP (Findings) 2024: 4948-4953 - [c58]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 - [c57]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 - [c56]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 - [i57]Tim Z. Xiao, Weiyang Liu, Robert Bamler:
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry. CoRR abs/2401.00611 (2024) - [i56]Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan:
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. CoRR abs/2403.09472 (2024) - [i55]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 abs/2404.08679 (2024) - [i54]Peter Kulits, Haiwen Feng, Weiyang Liu, Victoria Fernández Abrevaya, Michael J. Black:
Re-Thinking Inverse Graphics With Large Language Models. CoRR abs/2404.15228 (2024) - [i53]Jing Lin, Yao Feng, Weiyang Liu, Michael J. Black:
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning. CoRR abs/2405.04533 (2024) - [i52]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 abs/2406.04302 (2024) - [i51]Tim Z. Xiao, Robert Bamler, Bernhard Schölkopf, Weiyang Liu:
Verbalized Machine Learning: Revisiting Machine Learning with Language Models. CoRR abs/2406.04344 (2024) - [i50]Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Can Large Language Models Understand Symbolic Graphics Programs? CoRR abs/2408.08313 (2024) - [i49]Shengchao Liu, Divin Yan, Weitao Du, Weiyang Liu, Zhuoxinran Li, Hongyu Guo, Christian Borgs, Jennifer T. Chayes, Anima Anandkumar:
Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. CoRR abs/2409.10584 (2024) - 2023
- [j19]Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller:
SphereFace Revived: Unifying Hyperspherical Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2458-2474 (2023) - [j18]Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang:
Data-Efficient Learning via Minimizing Hyperspherical Energy. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13422-13437 (2023) - [j17]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): 7003 (2023) - [j16]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) - [c55]Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf:
Iterative Teaching by Data Hallucination. AISTATS 2023: 9892-9913 - [c54]Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Pairwise Similarity Learning is SimPLE. ICCV 2023: 5285-5295 - [c53]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: 8940-8951 - [c52]Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu:
MeshDiffusion: Score-based Generative 3D Mesh Modeling. ICLR 2023 - [c51]Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf:
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. ICLR 2023 - [c50]Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok:
Nonparametric Iterative Machine Teaching. ICML 2023: 40851-40870 - [c49]Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller:
Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. MICCAI (2) 2023: 446-456 - [c48]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 - [c47]Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok:
Nonparametric Teaching for Multiple Learners. NeurIPS 2023 - [c46]Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller:
Human-in-the-Loop Mixup. UAI 2023: 454-464 - [i48]Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf:
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. CoRR abs/2303.06484 (2023) - [i47]Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu:
MeshDiffusion: Score-based Generative 3D Mesh Modeling. CoRR abs/2303.08133 (2023) - [i46]Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok:
Nonparametric Iterative Machine Teaching. CoRR abs/2306.03007 (2023) - [i45]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 abs/2306.07280 (2023) - [i44]Yao Feng, Weiyang Liu, Timo Bolkart, Jinlong Yang, Marc Pollefeys, Michael J. Black:
Learning Disentangled Avatars with Hybrid 3D Representations. CoRR abs/2309.06441 (2023) - [i43]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 abs/2309.12284 (2023) - [i42]Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Pairwise Similarity Learning is SimPLE. CoRR abs/2310.09449 (2023) - [i41]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 abs/2310.15168 (2023) - [i40]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 abs/2311.06243 (2023) - [i39]Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok:
Nonparametric Teaching for Multiple Learners. CoRR abs/2311.10318 (2023) - [i38]Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf:
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. CoRR abs/2312.00093 (2023) - 2022
- [j15]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): 413 (2022) - [j14]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): 3020 (2022) - [c45]Xinyuan Cao, Weiyang Liu, Santosh S. Vempala:
Provable Lifelong Learning of Representations. AISTATS 2022: 6334-6356 - [c44]Hanlin Zhang, Yifan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing:
Towards Principled Disentanglement for Domain Generalization. CVPR 2022: 8014-8024 - [c43]Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf:
Structural Causal 3D Reconstruction. ECCV (1) 2022: 140-159 - [c42]Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang:
Pre-training Molecular Graph Representation with 3D Geometry. ICLR 2022 - [c41]Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh:
SphereFace2: Binary Classification is All You Need for Deep Face Recognition. ICLR 2022 - [i37]Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang:
Data-Efficient Learning via Minimizing Hyperspherical Energy. CoRR abs/2206.15204 (2022) - [i36]Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf:
Structural Causal 3D Reconstruction. CoRR abs/2207.10156 (2022) - [i35]Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu:
Continual Learning by Modeling Intra-Class Variation. CoRR abs/2210.05398 (2022) - [i34]Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf:
Iterative Teaching by Data Hallucination. CoRR abs/2210.17467 (2022) - [i33]Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller:
Web-based Elicitation of Human Perception on mixup Data. CoRR abs/2211.01202 (2022) - [i32]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 abs/2212.02469 (2022) - 2021
- [j13]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): 1081-1089 (2021) - [j12]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): 305 (2021) - [c40]Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller:
Learning with Hyperspherical Uniformity. AISTATS 2021: 1180-1188 - [c39]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller:
Orthogonal Over-Parameterized Training. CVPR 2021: 7251-7260 - [c38]Yandong Wen, Weiyang Liu, Bhiksha Raj, Rita Singh:
Self-Supervised 3D Face Reconstruction via Conditional Estimation. ICCV 2021: 13269-13278 - [c37]Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava:
Locality Sensitive Teaching. NeurIPS 2021: 18049-18062 - [c36]Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller:
Iterative Teaching by Label Synthesis. NeurIPS 2021: 21681-21695 - [i31]Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller:
Learning with Hyperspherical Uniformity. CoRR abs/2103.01649 (2021) - [i30]Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh:
SphereFace2: Binary Classification is All You Need for Deep Face Recognition. CoRR abs/2108.01513 (2021) - [i29]Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller:
SphereFace Revived: Unifying Hyperspherical Face Recognition. CoRR abs/2109.05565 (2021) - [i28]Yandong Wen, Weiyang Liu, Bhiksha Raj, Rita Singh:
Self-Supervised 3D Face Reconstruction via Conditional Estimation. CoRR abs/2110.04800 (2021) - [i27]Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang:
Pre-training Molecular Graph Representation with 3D Geometry. CoRR abs/2110.07728 (2021) - [i26]Xinyuan Cao, Weiyang Liu, Santosh S. Vempala:
Provable Lifelong Learning of Representations. CoRR abs/2110.14098 (2021) - [i25]Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller:
Iterative Teaching by Label Synthesis. CoRR abs/2110.14432 (2021) - [i24]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 abs/2111.09461 (2021) - [i23]Hanlin Zhang, Yifan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing:
Towards Principled Disentanglement for Domain Generalization. CoRR abs/2111.13839 (2021) - 2020
- [j11]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: 92141-92152 (2020) - [j10]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): 4043 (2020) - [c35]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: 6916-6925 - [c34]Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar:
Angular Visual Hardness. ICML 2020: 1637-1648 - [i22]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song:
Orthogonal Over-Parameterized Training. CoRR abs/2004.04690 (2020) - [i21]Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing:
Iterative Graph Self-Distillation. CoRR abs/2010.12609 (2020)
2010 – 2019
- 2019
- [c33]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 - [c32]Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. NeurIPS 2019: 5026-5037 - [c31]Albert E. Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai:
Meta Architecture Search. NeurIPS 2019: 11225-11235 - [i20]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Compressive Hyperspherical Energy Minimization. CoRR abs/1906.04892 (2019) - [i19]Weiyang Liu, Zhen Liu, James M. Rehg, Le Song:
Neural Similarity Learning. CoRR abs/1910.13003 (2019) - [i18]Beidi Chen, Weiyang Liu, Animesh Garg, Zhiding Yu, Anshumali Shrivastava, Jan Kautz, Anima Anandkumar:
Angular Visual Hardness. CoRR abs/1912.02279 (2019) - 2018
- [j9]Feng Wang, Jian Cheng, Weiyang Liu, Haijun Liu:
Additive Margin Softmax for Face Verification. IEEE Signal Process. Lett. 25(7): 926-930 (2018) - [c30]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CVPR 2018: 2771-2779 - [c29]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning With Open-Set Noisy Labels. CVPR 2018: 8688-8696 - [c28]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: 400-417 - [c27]Feng Wang, Weiyang Liu, Hanjun Dai, Haijun Liu, Jian Cheng:
Additive Margin Softmax for Face Verification. ICLR (Workshop) 2018 - [c26]Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. ICML 2018: 3147-3155 - [c25]Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. NeurIPS 2018: 6225-6236 - [c24]Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song:
Coupled Variational Bayes via Optimization Embedding. NeurIPS 2018: 9713-9723 - [i17]Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng:
Additive Margin Softmax for Face Verification. CoRR abs/1801.05599 (2018) - [i16]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning with Open-set Noisy Labels. CoRR abs/1804.00092 (2018) - [i15]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CoRR abs/1804.08071 (2018) - [i14]Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. CoRR abs/1805.09298 (2018) - [i13]Yandong Wen, Mahmoud Al Ismail, Weiyang Liu, Bhiksha Raj, Rita Singh:
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces. CoRR abs/1807.04836 (2018) - [i12]Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz:
Simultaneous Edge Alignment and Learning. CoRR abs/1808.01992 (2018) - [i11]Albert E. Shaw, Bo Dai, Weiyang Liu, Le Song:
Bayesian Meta-network Architecture Learning. CoRR abs/1812.09584 (2018) - 2017
- [j8]Meng Yang, Xing Wang, Weiyang Liu, Linlin Shen:
Joint regularized nearest points for image set based face recognition. Image Vis. Comput. 58: 47-60 (2017) - [c23]Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song:
SphereFace: Deep Hypersphere Embedding for Face Recognition. CVPR 2017: 6738-6746 - [c22]Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song:
Iterative Machine Teaching. ICML 2017: 2149-2158 - [c21]Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song:
Deep Hyperspherical Learning. NIPS 2017: 3950-3960 - [i10]Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song:
SphereFace: Deep Hypersphere Embedding for Face Recognition. CoRR abs/1704.08063 (2017) - [i9]Weiyang Liu, Bo Dai, James M. Rehg, Le Song:
Iterative Machine Teaching. CoRR abs/1705.10470 (2017) - [i8]Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song:
Towards Black-box Iterative Machine Teaching. CoRR abs/1710.07742 (2017) - [i7]Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song:
Deep Hyperspherical Learning. CoRR abs/1711.03189 (2017) - 2016
- [j7]Yandong Wen, Weiyang Liu, Meng Yang, Yuli Fu, Youjun Xiang, Rui Hu:
Structured occlusion coding for robust face recognition. Neurocomputing 178: 11-24 (2016) - [c20]Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen:
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification. AAAI 2016: 2251-2257 - [c19]Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar:
On Order-Constrained Transitive Distance Clustering. AAAI 2016: 2293-2299 - [c18]Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang:
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. BMVC 2016 - [c17]Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang:
Large-Margin Softmax Loss for Convolutional Neural Networks. ICML 2016: 507-516 - [i6]Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang:
Large-Margin Softmax Loss for Convolutional Neural Networks. CoRR abs/1612.02295 (2016) - 2015
- [j6]Kai Pan, Weiyang Liu, Dongcheng Wu, Hui Li:
Bit-Express: A Loss Tolerant Network Transmission via Network Coding. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(1): 400-410 (2015) - [j5]Fuxing Chen, Li Ma, Weiyang Liu, Dagang Li, Dongcheng Wu:
Towards High-Performance Load-Balance Multicast Switch via Erasure Codes. IEICE Trans. Commun. 98-B(8): 1518-1525 (2015) - [j4]Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, Yuexian Zou:
KCRC-LCD: Discriminative kernel collaborative representation with locality constrained dictionary for visual categorization. Pattern Recognit. 48(10): 3076-3092 (2015) - [c16]Meng Yang, Weiyang Liu, LinLin Shen:
Joint regularized nearest points for image set based face recognition. FG 2015: 1-7 - [c15]Fuxing Chen, Weiyang Liu, Hui Li, Wensheng Chen, Jun Lu, Dagang Li:
MDC-Ca: Efficient Caching Management Strategy for CCN Using Multiple Description Coding. GLOBECOM 2015: 1-6 - [c14]Kai Pan, Hui Li, Weiyang Liu, Dagang Li, Shuo-Yen Robert Li:
Towards minimizing the within-packet redundancy in wireless network coding. ICC Workshops 2015: 1469-1473 - [c13]Fuxing Chen, Hui Li, Weiyang Liu, Shuo-Yen Robert Li:
LB-MSNC: A load-balanced multicast switching fabric with network coding. ICC 2015: 5314-5318 - [c12]Weiyang Liu, Zhiding Yu, Yandong Wen, Meng Yang, Yuexian Zou:
Multi-kernel collaborative representation for image classification. ICIP 2015: 21-25 - [c11]Weiyang Liu, Zhiding Yu, Meng Yang, Lijia Lu, Yuexian Zou:
Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD. ICME 2015: 1-6 - [c10]Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui, B. V. K. Vijaya Kumar:
Generalized Transitive Distance with Minimum Spanning Random Forest. IJCAI 2015: 2205-2211 - [i5]Yandong Wen, Weiyang Liu, Meng Yang, Yuli Fu, Youjun Xiang, Rui Hu:
Structured Occlusion Coding for Robust Face Recognition. CoRR abs/1502.00478 (2015) - [i4]Yandong Wen, Weiyang Liu, Meng Yang, Yuli Fu, Zhifeng Li:
Misalignment-robust Face Recognition via Efficient Locality-constrained Representation. CoRR abs/1507.07073 (2015) - [i3]Weiyang Liu, Zhiding Yu, Yingzhen Yang, Meng Yang:
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. CoRR abs/1511.04601 (2015) - [i2]Weiyang Liu, Zhiding Yu, Meng Yang:
Robust Elastic Net Regression. CoRR abs/1511.04690 (2015) - 2014
- [j3]Weiyang Liu, Jingjing Chen, Xiaodong Liu, Haiyong Wang, Nanjian Wu:
A 2.4 GHz low power CMOS transceiver for LR-WPAN applications. Sci. China Inf. Sci. 57(8): 1-13 (2014) - [j2]Fuxing Chen, Weiyang Liu, Hui Li, Dongcheng Wu:
The Wire-Speed Multicast Switch Fabric Based on Distributive Lattice. IEICE Trans. Commun. 97-B(7): 1385-1394 (2014) - [c9]Kai Pan, Hui Li, Weiyang Liu, Zhipu Zhu, Bing Zhu:
On the optimal routing for Reconfigurable Network Architecture. ChinaCom 2014: 154-159 - [c8]Kai Pan, Weiyang Liu, Hui Li:
Work in progress: On the knapsack-based resource allocation for reconfigurable network architecture. ChinaCom 2014: 621-624 - [c7]Weiyang Liu, Yandong Wen, Kai Pan, Hui Li, Yuexian Zou:
A kernel-based l2 norm regularized least square algorithm for vehicle logo recognition. DSP 2014: 631-635 - [c6]Weiyang Liu, Lijia Lu, Hui Li, Wei Wang, Yuexian Zou:
A novel kernel collaborative representation approach for image classification. ICIP 2014: 4241-4245 - [c5]Weiyang Liu, Yandong Wen, Hui Li, Bing Zhu:
Dictionary construction for sparse representation classification: A novel cluster-based approach. ISCC 2014: 1-6 - [c4]Kai Pan, Hui Li, Weiyang Liu, Zhipu Zhu, Fuxing Chen, Bing Zhu:
Prologue: Unified Polymorphic Routing Towards Flexible Architecture of Reconfigurable Infrastructure. TRIDENTCOM 2014: 387-394 - [c3]Weiyang Liu, Hui Li, Fuxing Chen, Kai Pan:
Optimization-Based Atomic Capability Routing Model for Flexible Architecture of Reconfigurable Infrastructure. TRIDENTCOM 2014: 416-424 - [c2]Fuxing Chen, Weiyang Liu, Hui Li, Zhipu Zhu:
Semi-Centralized Name Routing Mechanism for Reconfigurable Network. TRIDENTCOM 2014: 444-452 - [i1]Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, Yuexian Zou:
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization. CoRR abs/1410.4673 (2014) - 2013
- [j1]Weiyang Liu, Jingjing Chen, Haiyong Wang, Nanjian Wu:
A Low Power 2.4 GHz RF Transceiver for ZigBee Applications. J. Circuits Syst. Comput. 22(9) (2013) - [c1]Jingjing Chen, Weiyang Liu, Peng Feng, Haiyong Wang, Nanjian Wu:
A 2.4 GHz energy-efficient 18-Mbps FSK transmitter in 0.18 μm CMOS. CICC 2013: 1-4
Coauthor Index
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