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Yifei Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yifei Huang 0001 — Australian National University, Research School of Engineering, Canberra, Australia (and 1 more)
- Yifei Huang 0002 — University of Tokyo, Japan (and 1 more)
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Journal Articles
- 2024
- [j13]Yifei Huang, Keren Li, Abhyuday Mandal, Jie Yang:
ForLion: a new algorithm for D-optimal designs under general parametric statistical models with mixed factors. Stat. Comput. 34(5): 157 (2024) - [j12]Shuqi Liu, Mingtian Tao, Yifei Huang, Changbo Wang, Chenhui Li:
Image-Driven Harmonious Color Palette Generation for Diverse Information Visualization. IEEE Trans. Vis. Comput. Graph. 30(7): 3089-3103 (2024) - 2023
- [j11]Xiang Yan, Xurong Mou, Yanan Yang, Jing Ren, Xingxu Zhou, Yifei Huang, Hongmei Yuan:
Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis. BMC Medical Imaging 23(1): 111 (2023) - [j10]Yifei Huang, Gang Peng, Gengen Zhang, Hong Zhang:
High-order Runge-Kutta structure-preserving methods for the coupled nonlinear Schrödinger-KdV equations. Math. Comput. Simul. 208: 603-618 (2023) - [j9]Amirmohammad Nazari, Yifei Huang, Roopsha Samanta, Arjun Radhakrishna, Mukund Raghothaman:
Explainable Program Synthesis by Localizing Specifications. Proc. ACM Program. Lang. 7(OOPSLA2): 2171-2195 (2023) - 2022
- [j8]Yong Liu, Pavel A. Dmitriev, Yifei Huang, Andrew Brooks, Li Dong, Mengyue Liang, Zvi Boshernitzan, Jiwei Cao, Bobby Nguy:
Transfer learning meets sales engagement email classification: Evaluation, analysis, and strategies. Concurr. Comput. Pract. Exp. 34(8) (2022) - 2021
- [j7]Yifei Huang, Sheng Qiu, Changbo Wang, Chenhui Li:
Learning Representations for High-Dynamic-Range Image Color Transfer in a Self-Supervised Way. IEEE Trans. Multim. 23: 176-188 (2021) - 2020
- [j6]Weizhi Zhu, Yifei Huang, Yuan Yao:
Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics. Frontiers Appl. Math. Stat. 6: 575073 (2020) - [j5]Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek F. Abdelzaher:
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 90:1-90:31 (2020) - 2019
- [j4]Yifei Huang, Yuhua Liu, Chenhui Li, Changbo Wang:
GBRTVis: online analysis of gradient boosting regression tree. J. Vis. 22(1): 125-140 (2019) - 2018
- [j3]Yifei Huang, Changbo Wang, Chenhui Li:
Translucent Image Recoloring through Homography Estimation. Comput. Graph. Forum 37(7): 421-432 (2018) - 2017
- [j2]Lucas Kocia, Yifei Huang, Peter J. Love:
Discrete Wigner Function Derivation of the Aaronson-Gottesman Tableau Algorithm. Entropy 19(7): 353 (2017) - 2009
- [j1]Yifei Huang, Mark P. Brandon, Amy L. Griffin, Michael E. Hasselmo, Uri T. Eden:
Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1. Neural Comput. 21(12): 3305-3334 (2009)
Conference and Workshop Papers
- 2024
- [c16]Yifei Huang, Qimeng Jiang, Sen Huang, Xinyue Dai, Xinhua Wang, Xinyu Liu:
The First Investigation of Switching Lifetime on Parallel-Connected GaN Power Devices. IRPS 2024: 2 - [c15]Shaoting Guan, Haoyu Jiang, Yuxiao Zhao, Yifei Huang, Hao Min:
Integrated Cold-Start of a Boost Converter at 54mV Using a Two-Stage Capacitive Voltage Multiplier. ISCAS 2024: 1-5 - [c14]Yifei Huang, Chuyun Shen, Wenhao Li, Xiangfeng Wang, Bo Jin, Haibin Cai:
Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning. MICCAI (8) 2024: 478-488 - 2023
- [c13]Tao Zou, Le Yu, Yifei Huang, Leilei Sun, Bowen Du:
Pretraining Language Models with Text-Attributed Heterogeneous Graphs. EMNLP (Findings) 2023: 10316-10333 - [c12]Yifei Huang, Chenhui Li, Risheng Liu, Tianyi Liang, Changbo Wang:
Enhancing Visual Understanding by Removing Dithering with Global and Self-Conditioned Transformation. VINCI 2023: 27:1-27:8 - 2022
- [c11]Guanzheng Chen, Chenghan Xie, Qijie Lu, Yifei Huang, Linxuan Miao, Zhenhui Peng:
TopsBot: Facilitating Mental Health Peer Support with a Topic-based Writing Assistant in Instant Messaging Apps. CCHI 2022: 256-261 - [c10]Yifei Huang, Zideng Feng, Junli Yang, Bin Wang, Jiaying Wang, Zhenglin Xian:
Le-BEiT: A Local-Enhanced Self-Supervised Transformer for Semantic Segmentation of High Resolution Remote Sensing Images. ICIP 2022: 3311-3315 - [c9]Zhenglin Xian, Jiaying Wang, Junli Yang, Bin Wang, Zideng Feng, Yifei Huang:
Dual-Path Geometry-Aware Network for Semantic Segmentation of High-Resolution Aerial Images. ICPR 2022: 414-420 - 2021
- [c8]Chenxu Zhang, Yifan Zhao, Yifei Huang, Ming Zeng, Saifeng Ni, Madhukar Budagavi, Xiaohu Guo:
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning. ICCV 2021: 3847-3856 - [c7]Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao:
Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients. MSML 2021: 497-515 - 2020
- [c6]Yifei Huang:
Situation Awareness and Information Fusion in Sales and Customer Engagement: A Paradigm Shift. CogSIMA 2020: 113-121 - [c5]Yifei Huang, Chenhui Li, Xiaohu Guo, Jing Liao, Chenxu Zhang, Changbo Wang:
DeSmoothGAN: Recovering Details of Smoothed Images via Spatial Feature-wise Transformation and Full Attention. ACM Multimedia 2020: 2655-2663 - 2019
- [c4]Yong Liu, Pavel A. Dmitriev, Yifei Huang, Andrew Brooks, Li Dong:
An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale. CCGRID 2019: 542-548 - 2016
- [c3]Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang, Kenny Q. Zhu:
Cross-region traffic prediction for China on OpenStreetMap. IWCTS@SIGSPATIAL 2016: 37-42 - 2011
- [c2]Yifei Huang, Jason Leung:
Clashes of femtocells with limited number of location area codes. CHINACOM 2011: 574-579 - 2010
- [c1]Weigang Wu, Yifei Huang:
Hierarchical Cooperative Data Caching for Wireless Mesh Networks. EUC 2010: 289-296
Informal and Other Publications
- 2024
- [i10]Tianyi Liang, Jiangqi Liu, Sicheng Song, Shiqi Jiang, Yifei Huang, Changbo Wang, Chenhui Li:
TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation. CoRR abs/2404.11824 (2024) - [i9]Jianxin Bi, Kelvin Lim, Kaiqi Chen, Yifei Huang, Harold Soh:
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers. CoRR abs/2410.07584 (2024) - 2023
- [i8]Tao Zou, Le Yu, Yifei Huang, Leilei Sun, Bowen Du:
Pretraining Language Models with Text-Attributed Heterogeneous Graphs. CoRR abs/2310.12580 (2023) - 2021
- [i7]Chenxu Zhang, Yifan Zhao, Yifei Huang, Ming Zeng, Saifeng Ni, Madhukar Budagavi, Xiaohu Guo:
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning. CoRR abs/2108.07938 (2021) - 2020
- [i6]Yifei Huang:
Situation Awareness and Information Fusion in Sales and Customer Engagement: A Paradigm Shift. CoRR abs/2006.00373 (2020) - [i5]Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao:
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients. CoRR abs/2009.13145 (2020) - 2019
- [i4]Yong Liu, Pavel A. Dmitriev, Yifei Huang, Andrew Brooks, Li Dong:
An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale. CoRR abs/1905.01971 (2019) - [i3]Yifei Huang, Matt Shum, Xi Wu, Jason Zezhong Xiao:
Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment. CoRR abs/1908.01718 (2019) - 2018
- [i2]Weizhi Zhu, Yifei Huang, Yuan Yao:
On Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics. CoRR abs/1810.03389 (2018) - [i1]Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen:
Differentiable Fine-grained Quantization for Deep Neural Network Compression. CoRR abs/1810.10351 (2018)
Coauthor Index
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last updated on 2024-11-18 21:49 CET by the dblp team
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