Weiyang Liu

According to our database, Weiyang Liu authored at least 101 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Iterative Graph Self-Distillation.

Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing

IEEE Trans. Knowl. Data Eng., March, 2024

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design.

Shengchao Liu, Divin Yan, Weitao Du, Weiyang Liu, Zhuoxinran Li, Hongyu Guo, Christian Borgs, Jennifer T. Chayes, Anima Anandkumar

CoRR, 2024

Can Large Language Models Understand Symbolic Graphics Programs?

Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf

CoRR, 2024

Verbalized Machine Learning: Revisiting Machine Learning with Language Models.

Tim Z. Xiao, Robert Bamler, Bernhard Schölkopf, Weiyang Liu

CoRR, 2024

Representational Alignment Supports Effective Machine Teaching.

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

CoRR, 2024

ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning.

Jing Lin, Yao Feng, Weiyang Liu, Michael J. Black

CoRR, 2024

Re-Thinking Inverse Graphics With Large Language Models.

Peter Kulits, Haiwen Feng, Weiyang Liu, Victoria Fernández Abrevaya, Michael J. Black

CoRR, 2024

Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector.

Andi Zhang, Tim Z. Xiao, Weiyang Liu, Robert Bamler, Damon Wischik

CoRR, 2024

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision.

Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan

CoRR, 2024

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry.

Tim Z. Xiao, Weiyang Liu, Robert Bamler

CoRR, 2024

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ghost on the Shell: An Expressive Representation of General 3D Shapes.

Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf

Proceedings of the Twelfth International Conference on Learning Representations, 2024

In Defense of Structural Sparse Adapters for Concurrent LLM Serving.

Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs.

Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Data-Efficient Learning via Minimizing Hyperspherical Energy.

Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Characterizing Soil Profile Salinization in Cotton Fields Using Landsat 8 Time-Series Data in Southern Xinjiang, China.

Jiaqiang Wang, Bifeng Hu, Weiyang Liu, Defang Luo, Jie Peng

Sensors, August, 2023

Continual Learning by Modeling Intra-Class Variation.

Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu

Trans. Mach. Learn. Res., 2023

SphereFace Revived: Unifying Hyperspherical Face Recognition.

Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Learning Disentangled Avatars with Hybrid 3D Representations.

Yao Feng, Weiyang Liu, Timo Bolkart, Jinlong Yang, Marc Pollefeys, Michael J. Black

CoRR, 2023

Human-in-the-Loop Mixup.

Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Nonparametric Teaching for Multiple Learners.

Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Controlling Text-to-Image Diffusion by Orthogonal Finetuning.

Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Physics-Based Decoding Improves Magnetic Resonance Fingerprinting.

Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Nonparametric Iterative Machine Teaching.

Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok

Proceedings of the International Conference on Machine Learning, 2023

Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap.

Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MeshDiffusion: Score-based Generative 3D Mesh Modeling.

Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pairwise Similarity Learning is SimPLE.

Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

One-shot Implicit Animatable Avatars with Model-based Priors.

Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Iterative Teaching by Data Hallucination.

Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Mapping the Levels of Soil Salination and Alkalization by Integrating Machining Learning Methods and Soil-Forming Factors.

Yang Yan, Kader Kayem, Ye Hao, Zhou Shi, Chao Zhang, Jie Peng, Weiyang Liu, Qiang Zuo, Wenjun Ji, Baoguo Li

Remote. Sens., 2022

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

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

Nat. Mach. Intell., 2022

Web-based Elicitation of Human Perception on mixup Data.

Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller

CoRR, 2022

SphereFace2: Binary Classification is All You Need for Deep Face Recognition.

Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Pre-training Molecular Graph Representation with 3D Geometry.

Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Structural Causal 3D Reconstruction.

Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Principled Disentanglement for Domain Generalization.

Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Provable Lifelong Learning of Representations.

Xinyuan Cao, Weiyang Liu, Santosh S. Vempala

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China.

Jiaqiang Wang, Jie Peng, Hongyi Li, Caiyun Yin, Weiyang Liu, Tianwei Wang, Huaping Zhang

Remote. Sens., 2021

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.

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

Nat. Mach. Intell., 2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.

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

CoRR, 2021

Locality Sensitive Teaching.

Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Iterative Teaching by Label Synthesis.

Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-Supervised 3D Face Reconstruction via Conditional Estimation.

Yandong Wen, Weiyang Liu, Bhiksha Raj, Rita Singh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Orthogonal Over-Parameterized Training.

Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning with Hyperspherical Uniformity.

Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Field-Scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions.

Hongyi Li, Xinlu Liu, Bifeng Hu, Asim Biswas, Qingsong Jiang, Weiyang Liu, Nan Wang, Jie Peng

Remote. Sens., 2020

Orthogonal Over-Parameterized Training.

Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song

CoRR, 2020

L2 Disturbance Suppression Controller Design for Multiple Time Delays Offshore Wind Turbines.

Zhen Tang, Bing Wang, Xiang Gao, Weiyang Liu, Lingyan Wei

IEEE Access, 2020

Angular Visual Hardness.

Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar

Proceedings of the 37th International Conference on Machine Learning, 2020

Regularizing Neural Networks via Minimizing Hyperspherical Energy.

Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Compressive Hyperspherical Energy Minimization.

Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song

CoRR, 2019

Meta Architecture Search.

Albert E. Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Similarity Learning.

Weiyang Liu, Zhen Liu, James M. Rehg, Le Song

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Disjoint Mapping Network for Cross-modal Matching of Voices and Faces.

Yandong Wen, Mahmoud Al Ismail, Weiyang Liu, Bhiksha Raj, Rita Singh

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Additive Margin Softmax for Face Verification.

Feng Wang, Jian Cheng, Weiyang Liu, Haijun Liu

IEEE Signal Process. Lett., 2018

Bayesian Meta-network Architecture Learning.

Albert E. Shaw, Bo Dai, Weiyang Liu, Le Song

CoRR, 2018

Learning towards Minimum Hyperspherical Energy.

Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Coupled Variational Bayes via Optimization Embedding.

Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Black-box Iterative Machine Teaching.

Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song

Proceedings of the 35th International Conference on Machine Learning, 2018

Additive Margin Softmax for Face Verification.

Feng Wang, Weiyang Liu, Hanjun Dai, Haijun Liu, Jian Cheng

Proceedings of the 6th International Conference on Learning Representations, 2018

Simultaneous Edge Alignment and Learning.

Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, B. V. K. Vijaya Kumar, Jan Kautz

Proceedings of the Computer Vision - ECCV 2018, 2018

Iterative Learning With Open-Set Noisy Labels.

Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Decoupled Networks.

Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Joint regularized nearest points for image set based face recognition.

Meng Yang, Xing Wang, Weiyang Liu, Linlin Shen

Image Vis. Comput., 2017

Deep Hyperspherical Learning.

Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song

CoRR, 2017

Towards Black-box Iterative Machine Teaching.

Weiyang Liu, Bo Dai, Xingguo Li, James M. Rehg, Le Song

CoRR, 2017

Iterative Machine Teaching.

Weiyang Liu, Bo Dai, James M. Rehg, Le Song

CoRR, 2017

Deep Hyperspherical Learning.

Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Iterative Machine Teaching.

Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

SphereFace: Deep Hypersphere Embedding for Face Recognition.

Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Structured occlusion coding for robust face recognition.

Yandong Wen, Weiyang Liu, Meng Yang, Yuli Fu, Youjun Xiang, Rui Hu

Neurocomputing, 2016

Large-Margin Softmax Loss for Convolutional Neural Networks.

Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang

Proceedings of the 33nd International Conference on Machine Learning, 2016

Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification.

Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang

Proceedings of the British Machine Vision Conference 2016, 2016

On Order-Constrained Transitive Distance Clustering.

Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification.

Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

KCRC-LCD: Discriminative kernel collaborative representation with locality constrained dictionary for visual categorization.

Weiyang Liu, Zhiding Yu, Lijia Lu, Yandong Wen, Hui Li, Yuexian Zou

Pattern Recognit., 2015

Bit-Express: A Loss Tolerant Network Transmission via Network Coding.

Kai Pan, Weiyang Liu, Dongcheng Wu, Hui Li

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

Towards High-Performance Load-Balance Multicast Switch via Erasure Codes.

Fuxing Chen, Li Ma, Weiyang Liu, Dagang Li, Dongcheng Wu

IEICE Trans. Commun., 2015

Misalignment-robust Face Recognition via Efficient Locality-constrained Representation.

Yandong Wen, Weiyang Liu, Meng Yang, Yuli Fu, Zhifeng Li

CoRR, 2015

Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification.

Weiyang Liu, Zhiding Yu, Yingzhen Yang, Meng Yang

CoRR, 2015

Robust Elastic Net Regression.

Weiyang Liu, Zhiding Yu, Meng Yang

CoRR, 2015

Generalized Transitive Distance with Minimum Spanning Random Forest.

Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui, B. V. K. Vijaya Kumar

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD.

Weiyang Liu, Zhiding Yu, Meng Yang, Lijia Lu, Yuexian Zou

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Multi-kernel collaborative representation for image classification.

Weiyang Liu, Zhiding Yu, Yandong Wen, Meng Yang, Yuexian Zou

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Towards minimizing the within-packet redundancy in wireless network coding.

Kai Pan, Hui Li, Weiyang Liu, Dagang Li, Shuo-Yen Robert Li

Proceedings of the IEEE International Conference on Communication, 2015

LB-MSNC: A load-balanced multicast switching fabric with network coding.

Fuxing Chen, Hui Li, Weiyang Liu, Shuo-Yen Robert Li

Proceedings of the 2015 IEEE International Conference on Communications, 2015

MDC-Ca: Efficient Caching Management Strategy for CCN Using Multiple Description Coding.

Fuxing Chen, Weiyang Liu, Hui Li, Wensheng Chen, Jun Lu, Dagang Li

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Joint regularized nearest points for image set based face recognition.

Meng Yang, Weiyang Liu, LinLin Shen

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014

The Wire-Speed Multicast Switch Fabric Based on Distributive Lattice.

Fuxing Chen, Weiyang Liu, Hui Li, Dongcheng Wu

IEICE Trans. Commun., 2014

A 2.4 GHz low power CMOS transceiver for LR-WPAN applications.

Weiyang Liu, Jingjing Chen, Xiaodong Liu, Haiyong Wang, Nanjian Wu

Sci. China Inf. Sci., 2014

Prologue: Unified Polymorphic Routing Towards Flexible Architecture of Reconfigurable Infrastructure.

Kai Pan, Hui Li, Weiyang Liu, Zhipu Zhu, Fuxing Chen, Bing Zhu

Proceedings of the Testbeds and Research Infrastructure: Development of Networks and Communities, 2014

Optimization-Based Atomic Capability Routing Model for Flexible Architecture of Reconfigurable Infrastructure.

Weiyang Liu, Hui Li, Fuxing Chen, Kai Pan

Proceedings of the Testbeds and Research Infrastructure: Development of Networks and Communities, 2014

Semi-Centralized Name Routing Mechanism for Reconfigurable Network.

Fuxing Chen, Weiyang Liu, Hui Li, Zhipu Zhu

Proceedings of the Testbeds and Research Infrastructure: Development of Networks and Communities, 2014

Dictionary construction for sparse representation classification: A novel cluster-based approach.

Weiyang Liu, Yandong Wen, Hui Li, Bing Zhu

Proceedings of the IEEE Symposium on Computers and Communications, 2014

A novel kernel collaborative representation approach for image classification.

Weiyang Liu, Lijia Lu, Hui Li, Wei Wang, Yuexian Zou

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A kernel-based l2 norm regularized least square algorithm for vehicle logo recognition.

Weiyang Liu, Yandong Wen, Kai Pan, Hui Li, Yuexian Zou

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

On the optimal routing for Reconfigurable Network Architecture.

Kai Pan, Hui Li, Weiyang Liu, Zhipu Zhu, Bing Zhu

Proceedings of the 9th International Conference on Communications and Networking in China, 2014

Work in progress: On the knapsack-based resource allocation for reconfigurable network architecture.

Kai Pan, Weiyang Liu, Hui Li

Proceedings of the 9th International Conference on Communications and Networking in China, 2014

2013

A Low Power 2.4 GHz RF Transceiver for ZigBee Applications.

Weiyang Liu, Jingjing Chen, Haiyong Wang, Nanjian Wu

J. Circuits Syst. Comput., 2013

A 2.4 GHz energy-efficient 18-Mbps FSK transmitter in 0.18 μm CMOS.

Jingjing Chen, Weiyang Liu, Peng Feng, Haiyong Wang, Nanjian Wu

Proceedings of the IEEE 2013 Custom Integrated Circuits Conference, 2013