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ORCIDBingchen Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
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Journal Articles
- 2024
[j20]Bingchen Liu
, Shihao Hou, Weiyi Zhong, Xiaoran Zhao, Yuwen Liu, Yihong Yang, Shijun Liu, Li Pan:
Enhancing Temporal Knowledge Graph Alignment in News Domain With Box Embedding. IEEE Trans. Comput. Soc. Syst. 11(4): 4909-4919 (2024)- [j19]Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan, Xin Li:
Open knowledge base canonicalization with multi-task learning. World Wide Web (WWW) 27(5): 51 (2024) - 2023
- [j18]Bingchen Liu, Hongtao Xue, Dianyong Ding, Ning Sun, Peng Chen:
In-Wheel Motor Fault Diagnosis Using Affinity Propagation Minimum-Distance Discriminant Projection and Weibull-Kernel-Function-Based SVDD. Sensors 23(8): 4021 (2023) - 2021
- [j17]Xizheng Sun, Bingchen Liu:
A complete classification of initial energy in a p(x)-Laplace pseudo-parabolic equation. Appl. Math. Lett. 111: 106664 (2021) - [j16]Bingchen Liu, Li Jiang, Shaowei Fan, Jinghui Dai:
Learning Grasp Configuration Through Object-Specific Hand Primitives for Posture Planning of Anthropomorphic Hands. Frontiers Neurorobotics 15: 740262 (2021) - [j15]Bingchen Liu, Li Jiang, Shaowei Fan:
Reducing Anthropomorphic Hand Degrees of Actuation with Grasp-Function-Dependent and Joint-Element-Sparse Hand Synergies. Int. J. Humanoid Robotics 18(6): 2150017:1-2150017:26 (2021) - [j14]Bingchen Liu, Weiyi Zhong, Jushi Xie, Lingzhen Kong, Yihong Yang, Chuang Lin, Hao Wang:
Deep Learning for Mobile Crowdsourcing Techniques, Methods, and Challenges: A Survey. Mob. Inf. Syst. 2021: 6673094:1-6673094:11 (2021) - [j13]Chao Zhang, Dacheng Tao, Tao Hu, Bingchen Liu:
Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1906-1919 (2021) - 2019
- [j12]Bingchen Liu, Hongyan Lin:
A Cauchy problem of spatial-weighted reaction-diffusion equations. Appl. Math. Lett. 92: 128-133 (2019) - [j11]Bingchen Liu, Guicheng Wu:
Blow-up time estimates and simultaneous blow-up of solutions in nonlinear diffusion problems. Comput. Math. Appl. 77(2): 597-614 (2019) - [j10]Bingchen Liu, Guicheng Wu, Xizheng Sun, Fengjie Li:
Blow-up estimate in a reaction-diffusion equation with nonlinear nonlocal flux and source. Comput. Math. Appl. 78(6): 1862-1877 (2019) - 2018
- [j9]Yini Du, Bingchen Liu:
Time-weighted blow-up profiles in a nonlinear parabolic system with Fujita exponent. Comput. Math. Appl. 76(5): 1034-1055 (2018) - 2017
- [j8]Bingchen Liu, Fengjie Li:
Critical singular exponent and asymptotic estimates in the parabolic equations. Appl. Math. Lett. 65: 63-69 (2017) - 2016
- [j7]Bingchen Liu, Fengjie Li:
The profile and boundary layer for parabolic system with critical simultaneous blow-up exponent. Appl. Math. Lett. 59: 94-100 (2016) - 2012
- [j6]Alexander Bock, Erik Sundén, Bingchen Liu, Burkhard Wünsche, Timo Ropinski:
Coherency-Based Curve Compression for High-Order Finite Element Model Visualization. IEEE Trans. Vis. Comput. Graph. 18(12): 2315-2324 (2012) - 2010
- [j5]Bingchen Liu, Fengjie Li:
Properties of non-simultaneous blow-up in heat equations coupled via different localized sources. Appl. Math. Comput. 217(7): 3403-3411 (2010) - [j4]Fengjie Li, Bingchen Liu:
Non-simultaneous blow-up in parabolic equations coupled via localized sources. Appl. Math. Lett. 23(8): 871-874 (2010) - 2009
- [j3]Bingchen Liu, Fengjie Li, Sining Zheng:
Note on a nonlinear diffusion system with convection. Appl. Math. Comput. 214(1): 41-47 (2009) - [j2]Bingchen Liu, Fengjie Li:
A complete classification for non-simultaneous blow-up. Appl. Math. Lett. 22(4): 548-552 (2009) - 2006
- [j1]Sining Zheng, Fengjie Li, Bingchen Liu:
Asymptotic behavior for a reaction-diffusion equation with inner absorption and boundary flux. Appl. Math. Lett. 19(9): 942-948 (2006)
Conference and Workshop Papers
- 2024
- [c20]Bingchen Liu, Yuanyuan Fang, Xu Wang, Xin Li:
Federated Knowledge Graph Embedding Unlearning via Diffusion Model. APWeb/WAIM (2) 2024: 272-286 - [c19]Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang:
Common Diffusion Noise Schedules and Sample Steps are Flawed. WACV 2024: 5392-5399 - [c18]Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV 2024: 5441-5451 - 2023
- [c17]Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu:
Shifted Diffusion for Text-to-image Generation. CVPR 2023: 10157-10166 - [c16]Shihao Hou, Linwei Fan, Fan Zhang, Bingchen Liu:
An Improved Lightweight YOLOv5 for Remote Sensing Images. ICANN (2) 2023: 77-89 - 2022
- [c15]Bingchen Liu, Tao Li, Zili Zhang:
A Contact Matrix-Based Approach for Predicting COVID-19 Using Influenza Data. WI/IAT 2022: 782-787 - 2021
- [c14]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Self-Supervised Sketch-to-Image Synthesis. AAAI 2021: 2073-2081 - [c13]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal:
TIME: Text and Image Mutual-Translation Adversarial Networks. AAAI 2021: 2082-2090 - [c12]Bingchen Liu, Li Jiang, Shaowei Fan:
Hand Posture Reconstruction Through Task-Dependent Hand Synergies. ICIRA (1) 2021: 14-24 - [c11]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. ICLR 2021 - 2020
- [c10]Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. AAAI 2020: 4836-4843 - [c9]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal:
Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. ACCV (6) 2020: 207-222 - 2019
- [c8]Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal:
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV 2019: 9843-9853 - [c7]Li Jiang, Bingchen Liu, Shaowei Fan, Hong Liu:
A Posture Planning Method in Clustered Synergy Subspace for HIT/DLR Hand II. ICIRA (6) 2019: 134-145 - 2018
- [c6]Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone:
The Shape of Art History in the Eyes of the Machine. AAAI 2018: 2183-2191 - [c5]Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal:
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR 2018: 1004-1013 - [c4]Diana Kim, Bingchen Liu, Ahmed Elgammal, Marian Mazzone:
Finding Principal Semantics of Style in Art. ICSC 2018: 156-163 - 2017
- [c3]Ahmed M. Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone:
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms. ICCC 2017: 96-103 - 2012
- [c2]Bingchen Liu, Alexander Bock, Timo Ropinski, Martyn P. Nash, Poul M. F. Nielsen, Burkhard Wünsche:
GPU-accelerated direct volume rendering of finite element data sets. IVCNZ 2012: 109-114 - 2010
- [c1]Bingchen Liu, Burkhard Wünsche, Timo Ropinski:
Visualization by Example - A Constructive Visual Component-based Interface for Direct Volume Rendering. GRAPP 2010: 254-259
Informal and Other Publications
- 2024
- [i17]Bingchen Liu, Yuanyuan Fang:
Federated Knowledge Graph Unlearning via Diffusion Model. CoRR abs/2403.08554 (2024) - [i16]Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan:
Open Knowledge Base Canonicalization with Multi-task Learning. CoRR abs/2403.14733 (2024) - [i15]Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang:
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. CoRR abs/2404.05674 (2024) - [i14]Bingchen Liu, Ehsan Akhgari, Alexander Visheratin, Aleks Kamko, Linmiao Xu, Shivam Shrirao, Joao Souza, Suhail Doshi, Daiqing Li:
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models. CoRR abs/2409.10695 (2024) - 2023
- [i13]Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang:
Common Diffusion Noise Schedules and Sample Steps are Flawed. CoRR abs/2305.08891 (2023) - [i12]Bingchen Liu, Shihao Hou, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan:
Open Knowledge Base Canonicalization with Multi-task Unlearning. CoRR abs/2310.16419 (2023) - 2022
- [i11]Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu:
Shifted Diffusion for Text-to-image Generation. CoRR abs/2211.15388 (2022) - [i10]Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
Diffusion Guided Domain Adaptation of Image Generators. CoRR abs/2212.04473 (2022) - 2021
- [i9]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. CoRR abs/2101.04775 (2021) - 2020
- [i8]Bingchen Liu, Kunpeng Song, Ahmed Elgammal:
Sketch-to-Art: Synthesizing Stylized Art Images From Sketches. CoRR abs/2002.12888 (2020) - [i7]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal:
TIME: Text and Image Mutual-Translation Adversarial Networks. CoRR abs/2005.13192 (2020) - [i6]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Self-Supervised Sketch-to-Image Synthesis. CoRR abs/2012.09290 (2020) - 2019
- [i5]Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal:
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR abs/1904.10056 (2019) - [i4]Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. CoRR abs/1905.10836 (2019) - 2018
- [i3]Ahmed M. Elgammal, Marian Mazzone, Bingchen Liu, Diana Kim, Mohamed Elhoseiny:
The Shape of Art History in the Eyes of the Machine. CoRR abs/1801.07729 (2018) - 2017
- [i2]Ahmed M. Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone:
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms. CoRR abs/1706.07068 (2017) - [i1]Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed M. Elgammal:
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts. CoRR abs/1712.01381 (2017)
Coauthor Index
aka: Ahmed Elgammal
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