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Lingfeng Yang
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2020 – today
- 2024
- [j6]Zheng Li
, Xiang Li, Lingfeng Yang, Renjie Song, Jian Yang, Zhigeng Pan:
Dual teachers for self-knowledge distillation. Pattern Recognit. 151: 110422 (2024) - [i10]Lingfeng Yang, Xinyu Zhang, Xiang Li, Jinwen Chen, Kun Yao, Gang Zhang, Errui Ding, Lingqiao Liu, Jingdong Wang, Jian Yang:
Add-SD: Rational Generation without Manual Reference. CoRR abs/2407.21016 (2024) - [i9]Zhenyuan Chen, Lingfeng Yang, Shuo Chen, Zhaowei Chen, Jiajun Liang, Xiang Li:
Revisiting Prompt Pretraining of Vision-Language Models. CoRR abs/2409.06166 (2024) - [i8]Ming Dai, Lingfeng Yang, Yihao Xu, Zhenhua Feng, Wankou Yang:
SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion. CoRR abs/2409.17531 (2024) - 2023
- [j5]Yuxuan Li, Lingfeng Yang, Xiang Li:
APF-GAN: Exploring asymmetric pre-training and fine-tuning strategy for conditional generative adversarial network. Comput. Vis. Media 10(1): 187-192 (2023) - [j4]Xiang Li
Generalized Focal Loss: Towards Efficient Representation Learning for Dense Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3139-3153 (2023) - [c15]Zheng Li
Curriculum Temperature for Knowledge Distillation. AAAI 2023: 1504-1512 - [c14]Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang:
Fine-Grained Visual Prompting. NeurIPS 2023 - [i7]Xiang Li, Ge Wu, Lingfeng Yang, Wenhai Wang, Renjie Song, Jian Yang:
A Survey of Historical Learning: Learning Models with Learning History. CoRR abs/2303.12992 (2023) - [i6]Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang:
Fine-Grained Visual Prompting. CoRR abs/2306.04356 (2023) - 2022
- [c13]Lingfeng Yang, Xiang Li, Renjie Song, Kexin Zhu, Gang Li:
Solution for SnakeCLEF 2022 by Tackling Long-tailed Categorization. CLEF (Working Notes) 2022: 2253-2261 - [c12]Yangyang Wang, Liping Hua, Hui Zhao, Lingfeng Yang:
Unsupervised Markdown Feature-Aware Keywords Extraction Towards Technology Blogs. COMPSAC 2022: 223-228 - [c11]Lingfeng Yang, Xiang Li, Renjie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang:
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information. CVPR 2022: 10935-10944 - [c10]Huang Tian, Xiang Li, Lingfeng Yang, Jun Li, Jian Yang, Weidong Du:
PPT: Anomaly Detection Dataset of Printed Products with Templates. ICIP 2022: 506-510 - [c9]Lingfeng Yang, Xiang Li, Borui Zhao, Renjie Song, Jian Yang:
RecursiveMix: Mixed Learning with History. NeurIPS 2022 - [i5]Lingfeng Yang, Xiang Li, Renjie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang:
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information. CoRR abs/2203.03253 (2022) - [i4]Lingfeng Yang, Xiang Li, Borui Zhao, Renjie Song, Jian Yang:
RecursiveMix: Mixed Learning with History. CoRR abs/2203.06844 (2022) - [i3]Xiang Li, Wenhai Wang, Lingfeng Yang, Jian Yang:
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality. CoRR abs/2205.10063 (2022) - [i2]Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang:
Curriculum Temperature for Knowledge Distillation. CoRR abs/2211.16231 (2022) - 2021
- [i1]Zheng Li, Xiang Li, Lingfeng Yang, Jian Yang, Zhigeng Pan:
Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation. CoRR abs/2110.00329 (2021)
2010 – 2019
- 2018
- [c8]Peili Yang, Hui Zhao, Xuezhen Yin, Jian Ye, Lingfeng Yang, Jimin Liang:
A Cooperated Data Management Platform for Coronary Heart Disease Early Identification and Risk Warning Research. COMPSAC (2) 2018: 731-736 - [c7]Hui Zhao, Jimin Liang
Domain-specific modelware: to make the machine learning model reusable and reproducible. ESEM 2018: 56:1-56:2 - [c6]Lingfeng Yang, Hui Zhao:
DDoS Attack Identification and Defense Using SDN Based on Machine Learning Method. I-SPAN 2018: 174-178 - 2015
- [b1]Lingfeng Yang:
From execution traces to specialized inference. Stanford University, USA, 2015 - [c5]Lingfeng Yang, Mugen Peng
Ergodic Rate Analysis for User Access in Downlink Heterogeneous Cloud Radio Access Networks. GLOBECOM 2015: 1-6 - [c4]Shi Yan, Mugen Peng
Downlink heterogeneous small cell networks with cell associations in K-floor indoor scenarios. ICC Workshops 2015: 2550-2554 - 2014
- [c3]Lingfeng Yang, Pat Hanrahan, Noah D. Goodman:
Generating Efficient MCMC Kernels from Probabilistic Programs. AISTATS 2014: 1068-1076 - 2013
- [j3]Yi-Ting Yeh, Katherine Breeden, Lingfeng Yang, Matthew Fisher, Pat Hanrahan:
Synthesis of tiled patterns using factor graphs. ACM Trans. Graph. 32(1): 3:1-3:13 (2013) - 2012
- [j2]Yi-Ting Yeh, Lingfeng Yang, Matthew Watson, Noah D. Goodman, Pat Hanrahan:
Synthesizing open worlds with constraints using locally annealed reversible jump MCMC. ACM Trans. Graph. 31(4): 56:1-56:11 (2012) - [c2]Jerry O. Talton, Lingfeng Yang, Ranjitha Kumar, Maxine Lim, Noah D. Goodman, Radomír Mech:
Learning design patterns with bayesian grammar induction. UIST 2012: 63-74 - 2010
- [c1]Lingfeng Yang:
Modeling player performance in rhythm games. SIGGRAPH ASIA (Sketches) 2010: 1:1-1:2
2000 – 2009
- 2009
- [j1]Jerry O. Talton, Daniel Gibson, Lingfeng Yang, Pat Hanrahan, Vladlen Koltun:
Exploratory modeling with collaborative design spaces. ACM Trans. Graph. 28(5): 167 (2009)
Coauthor Index
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