Bingchen Liu

According to our database, Bingchen Liu authored at least 49 papers between 2006 and 2024.

Collaborative distances:

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

2024

Open knowledge base canonicalization with multi-task learning.

Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan, Xin Li

World Wide Web (WWW), September, 2024

Enhancing Temporal Knowledge Graph Alignment in News Domain With Box Embedding.

Bingchen Liu, Shihao Hou, Weiyi Zhong, Xiaoran Zhao, Yuwen Liu, Yihong Yang, Shijun Liu, Li Pan

IEEE Trans. Comput. Soc. Syst., August, 2024

Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models.

Bingchen Liu, Ehsan Akhgari, Alexander Visheratin, Aleks Kamko, Linmiao Xu, Shivam Shrirao, Joao Souza, Suhail Doshi, Daiqing Li

CoRR, 2024

Open Knowledge Base Canonicalization with Multi-task Learning.

Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan

CoRR, 2024

Federated Knowledge Graph Unlearning via Diffusion Model.

Bingchen Liu, Yuanyuan Fang

CoRR, 2024

StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators.

Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Common Diffusion Noise Schedules and Sample Steps are Flawed.

Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation.

Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

Federated Knowledge Graph Embedding Unlearning via Diffusion Model.

Bingchen Liu, Yuanyuan Fang, Xu Wang, Xin Li

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

In-Wheel Motor Fault Diagnosis Using Affinity Propagation Minimum-Distance Discriminant Projection and Weibull-Kernel-Function-Based SVDD.

Bingchen Liu, Hongtao Xue, Dianyong Ding, Ning Sun, Peng Chen

Sensors, 2023

Open Knowledge Base Canonicalization with Multi-task Unlearning.

Bingchen Liu, Shihao Hou, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan

CoRR, 2023

An Improved Lightweight YOLOv5 for Remote Sensing Images.

Shihao Hou, Linwei Fan, Fan Zhang, Bingchen Liu

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Shifted Diffusion for Text-to-image Generation.

Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Diffusion Guided Domain Adaptation of Image Generators.

Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal

CoRR, 2022

A Contact Matrix-Based Approach for Predicting COVID-19 Using Influenza Data.

Bingchen Liu, Tao Li, Zili Zhang

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

2021

Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning.

Chao Zhang, Dacheng Tao, Tao Hu, Bingchen Liu

IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Learning for Mobile Crowdsourcing Techniques, Methods, and Challenges: A Survey.

Bingchen Liu, Weiyi Zhong, Jushi Xie, Lingzhen Kong, Yihong Yang, Chuang Lin, Hao Wang

Mob. Inf. Syst., 2021

Reducing Anthropomorphic Hand Degrees of Actuation with Grasp-Function-Dependent and Joint-Element-Sparse Hand Synergies.

Bingchen Liu, Li Jiang, Shaowei Fan

Int. J. Humanoid Robotics, 2021

Learning Grasp Configuration Through Object-Specific Hand Primitives for Posture Planning of Anthropomorphic Hands.

Bingchen Liu, Li Jiang, Shaowei Fan, Jinghui Dai

Frontiers Neurorobotics, 2021

A complete classification of initial energy in a p(x)-Laplace pseudo-parabolic equation.

Xizheng Sun, Bingchen Liu

Appl. Math. Lett., 2021

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis.

Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

Proceedings of the 9th International Conference on Learning Representations, 2021

Hand Posture Reconstruction Through Task-Dependent Hand Synergies.

Bingchen Liu, Li Jiang, Shaowei Fan

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Self-Supervised Sketch-to-Image Synthesis.

Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

TIME: Text and Image Mutual-Translation Adversarial Networks.

Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sketch-to-Art: Synthesizing Stylized Art Images From Sketches.

Bingchen Liu, Kunpeng Song, Ahmed Elgammal

CoRR, 2020

Sketch-to-Art: Synthesizing Stylized Art Images from Sketches.

Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization.

Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning.

Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

CoRR, 2019

Blow-up estimate in a reaction-diffusion equation with nonlinear nonlocal flux and source.

Bingchen Liu, Guicheng Wu, Xizheng Sun, Fengjie Li

Comput. Math. Appl., 2019

Blow-up time estimates and simultaneous blow-up of solutions in nonlinear diffusion problems.

Bingchen Liu, Guicheng Wu

Comput. Math. Appl., 2019

A Cauchy problem of spatial-weighted reaction-diffusion equations.

Bingchen Liu, Hongyan Lin

Appl. Math. Lett., 2019

A Posture Planning Method in Clustered Synergy Subspace for HIT/DLR Hand II.

Li Jiang, Bingchen Liu, Shaowei Fan, Hong Liu

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning.

Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Time-weighted blow-up profiles in a nonlinear parabolic system with Fujita exponent.

Yini Du, Bingchen Liu

Comput. Math. Appl., 2018

Finding Principal Semantics of Style in Art.

Diana Kim, Bingchen Liu, Ahmed Elgammal, Marian Mazzone

Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts.

Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal

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

The Shape of Art History in the Eyes of the Machine.

Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts.

Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed M. Elgammal

CoRR, 2017

Critical singular exponent and asymptotic estimates in the parabolic equations.

Bingchen Liu, Fengjie Li

Appl. Math. Lett., 2017

CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms.

Ahmed M. Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone

Proceedings of the Eighth International Conference on Computational Creativity, 2017

2016

The profile and boundary layer for parabolic system with critical simultaneous blow-up exponent.

Bingchen Liu, Fengjie Li

Appl. Math. Lett., 2016

2012

Coherency-Based Curve Compression for High-Order Finite Element Model Visualization.

Alexander Bock, Erik Sundén, Bingchen Liu, Burkhard Wünsche, Timo Ropinski

IEEE Trans. Vis. Comput. Graph., 2012

GPU-accelerated direct volume rendering of finite element data sets.

Bingchen Liu, Alexander Bock, Timo Ropinski, Martyn P. Nash, Poul M. F. Nielsen, Burkhard Wünsche

Proceedings of the Image and Vision Computing New Zealand, 2012

2010

Non-simultaneous blow-up in parabolic equations coupled via localized sources.

Fengjie Li, Bingchen Liu

Appl. Math. Lett., 2010

Properties of non-simultaneous blow-up in heat equations coupled via different localized sources.

Bingchen Liu, Fengjie Li

Appl. Math. Comput., 2010

Visualization by Example - A Constructive Visual Component-based Interface for Direct Volume Rendering.

Bingchen Liu, Burkhard Wünsche, Timo Ropinski

Proceedings of the GRAPP 2010, 2010

2009

A complete classification for non-simultaneous blow-up.

Bingchen Liu, Fengjie Li

Appl. Math. Lett., 2009

Note on a nonlinear diffusion system with convection.

Bingchen Liu, Fengjie Li, Sining Zheng

Appl. Math. Comput., 2009

2006

Asymptotic behavior for a reaction-diffusion equation with inner absorption and boundary flux.

Sining Zheng, Fengjie Li, Bingchen Liu

Appl. Math. Lett., 2006