Zhengyang Geng

33 papers A* 11Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	One-step Latent-free Image Generation with Pixel Mean Flows. CoRR Yiyang Lu, Susie Lu, Qiao Sun, Hanhong Zhao, Zhicheng Jiang, Xianbang Wang, Tianhong Li, Zhengyang Geng, Kaiming He
2025	A*	`conf`	Consistency Models Made Easy. ICLR Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J. Zico Kolter
2025	A*	`conf`	David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training. ICML Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng
2025	J	`jnl`	Improved Mean Flows: On the Challenges of Fastforward Generative Models. CoRR Zhengyang Geng, Yiyang Lu, Zongze Wu, Eli Shechtman, J. Zico Kolter, Kaiming He
2025	J	`jnl`	Mean Flows for One-step Generative Modeling. CoRR Zhengyang Geng, Mingyang Deng, Xingjian Bai, J. Zico Kolter, Kaiming He
2025	J	`jnl`	R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation. CoRR 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
2025	J	`jnl`	RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs. CoRR 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
2025	A*	`conf`	RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation. ICML 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, Shimin Hu
2024	J	`jnl`	Consistency Models Made Easy. CoRR Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Zico Kolter
2024	J	`jnl`	Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models. CoRR Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng
2024	J	`jnl`	Flow Generator Matching. CoRR Zemin Huang, Zhengyang Geng, Weijian Luo, Guo-Jun Qi
2024	A*	`conf`	Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. ICML Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao
2024	J	`jnl`	Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. CoRR Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao
2024	A*	`conf`	One-Step Diffusion Distillation through Score Implicit Matching. NeurIPS Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-Jun Qi
2024	J	`jnl`	One-Step Diffusion Distillation through Score Implicit Matching. CoRR Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-Jun Qi
2024	J	`jnl`	One-Step Diffusion Distillation via Deep Equilibrium Models. CoRR Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
2024	J	`jnl`	Stable Consistency Tuning: Understanding and Improving Consistency Models. CoRR Fu-Yun Wang, Zhengyang Geng, Hongsheng Li
2023	J	`jnl`	Equilibrium Image Denoising With Implicit Differentiation. IEEE Trans. Image Process. Qi Chen, Yifei Wang, Zhengyang Geng, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2023	A*	`conf`	One-Step Diffusion Distillation via Deep Equilibrium Models. NeurIPS Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
2023	J	`jnl`	TorchDEQ: A Library for Deep Equilibrium Models. CoRR Zhengyang Geng, J. Zico Kolter
2022	A*	`conf`	Deep Equilibrium Approaches to Diffusion Models. NeurIPS Ashwini Pokle, Zhengyang Geng, J. Zico Kolter
2022	J	`jnl`	Deep Equilibrium Approaches to Diffusion Models. CoRR Ashwini Pokle, Zhengyang Geng, Zico Kolter
2022	A*	`conf`	Deep Equilibrium Optical Flow Estimation. CVPR Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter
2022	J	`jnl`	Deep Equilibrium Optical Flow Estimation. CoRR Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter
2022	—	`conf`	Eliminating Gradient Conflict in Reference-based Line-Art Colorization. ECCV (17) Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang
2022	J	`jnl`	Eliminating Gradient Conflict in Reference-based Line-Art Colorization. CoRR Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang
2021	A*	`conf`	Is Attention Better Than Matrix Decomposition? ICLR Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin
2021	J	`jnl`	Is Attention Better Than Matrix Decomposition? CoRR Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin
2021	A*	`conf`	On Training Implicit Models. NeurIPS Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
2021	J	`jnl`	On Training Implicit Models. CoRR Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
2021	A*	`conf`	Residual Relaxation for Multi-view Representation Learning. NeurIPS Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2021	J	`jnl`	Residual Relaxation for Multi-view Representation Learning. CoRR Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
2019	J	`jnl`	FIS-GAN: GAN with Flow-based Importance Sampling. CoRR Shiyu Yi, Donglin Zhan, Zhengyang Geng, Wenqing Zhang, Chang Xu