Zhengyang Geng

According to our database, Zhengyang Geng authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao

CoRR, 2024

2023

Equilibrium Image Denoising With Implicit Differentiation.

Qi Chen, Yifei Wang, Zhengyang Geng, Yisen Wang, Jiansheng Yang, Zhouchen Lin

IEEE Trans. Image Process., 2023

TorchDEQ: A Library for Deep Equilibrium Models.

Zhengyang Geng, J. Zico Kolter

CoRR, 2023

One-Step Diffusion Distillation via Deep Equilibrium Models.

Zhengyang Geng, Ashwini Pokle, J. Zico Kolter

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

2022

Deep Equilibrium Approaches to Diffusion Models.

Ashwini Pokle, Zhengyang Geng, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Eliminating Gradient Conflict in Reference-based Line-Art Colorization.

Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang

Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Equilibrium Optical Flow Estimation.

Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter

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

2021

Residual Relaxation for Multi-view Representation Learning.

Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin

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

On Training Implicit Models.

Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin

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

Is Attention Better Than Matrix Decomposition?

Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin

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

2019

FIS-GAN: GAN with Flow-based Importance Sampling.

Shiyu Yi, Donglin Zhan, Zhengyang Geng, Wenqing Zhang, Chang Xu

CoRR, 2019