Zhengyang Geng

According to our database, Zhengyang Geng authored at least 20 papers between 2019 and 2025.

Collaborative distances:

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

2025

RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs.

Meng-Hao Guo, Xuanyu Chu, Qianrui Yang, Zhe-Han Mo, Yiqing Shen, Pei-lin Li, Xinjie Lin, Jinnian Zhang, Xin-Sheng Chen, Yi Zhang, Kiyohiro Nakayama, Zhengyang Geng, Houwen Peng, Han Hu, Shi-Min Hu

CoRR, May, 2025

Mean Flows for One-step Generative Modeling.

Zhengyang Geng, Mingyang Deng, Xingjian Bai, J. Zico Kolter, Kaiming He

CoRR, May, 2025

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation.

Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shi-Min Hu

CoRR, May, 2025

Consistency Models Made Easy.

Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J. Zico Kolter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models.

Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng

CoRR, 2024

Flow Generator Matching.

Zemin Huang, Zhengyang Geng, Weijian Luo, Guo-Jun Qi

CoRR, 2024

Stable Consistency Tuning: Understanding and Improving Consistency Models.

Fu-Yun Wang, Zhengyang Geng, Hongsheng Li

CoRR, 2024

Consistency Models Made Easy.

Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Zico Kolter

CoRR, 2024

One-Step Diffusion Distillation through Score Implicit Matching.

Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-Jun Qi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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