FIS-GAN: GAN with Flow-based Importance Sampling. - Shiyu Yi; Donglin Zhan; Zhengyang Geng; Wenqing Zhang; Chang Xu (CoRR, 2019)

Is Attention Better Than Matrix Decomposition? - Zhengyang Geng; Meng-Hao Guo; Hongxu Chen; Xia Li 005; Ke Wei; Zhouchen Lin (ICLR, 2021)

On Training Implicit Models. - Zhengyang Geng; Xin-Yu Zhang; Shaojie Bai; Yisen Wang 001; Zhouchen Lin (NeurIPS, 2021)

Residual Relaxation for Multi-view Representation Learning. - Yifei Wang 001; Zhengyang Geng; Feng Jiang; Chuming Li; Yisen Wang 001; Jiansheng Yang; Zhouchen Lin (NeurIPS, 2021)

Deep Equilibrium Optical Flow Estimation. - Shaojie Bai; Zhengyang Geng; Yash Savani; J. Zico Kolter (CVPR, 2022)

Eliminating Gradient Conflict in Reference-based Line-Art Colorization. - Zekun Li 002; Zhengyang Geng; Zhao Kang 001; Wenyu Chen 001; Yibo Yang (ECCV (17), 2022)

Deep Equilibrium Approaches to Diffusion Models. - Ashwini Pokle; Zhengyang Geng; J. Zico Kolter (NeurIPS, 2022)

One-Step Diffusion Distillation via Deep Equilibrium Models. - Zhengyang Geng; Ashwini Pokle; J. Zico Kolter (NeurIPS, 2023)

TorchDEQ: A Library for Deep Equilibrium Models. - Zhengyang Geng; J. Zico Kolter (CoRR, 2023)

Equilibrium Image Denoising With Implicit Differentiation. - Qi Chen; Yifei Wang 001; Zhengyang Geng; Yisen Wang 001; Jiansheng Yang; Zhouchen Lin (IEEE Trans. Image Process., 2023)

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 (ICML, 2024)

One-Step Diffusion Distillation through Score Implicit Matching. - Weijian Luo; Zemin Huang; Zhengyang Geng; J. Zico Kolter; Guo-Jun Qi (NeurIPS, 2024)

Consistency Models Made Easy. - Zhengyang Geng; Ashwini Pokle; William Luo; Justin Lin; J. Zico Kolter (CoRR, 2024)

Stable Consistency Tuning: Understanding and Improving Consistency Models. - Fu-Yun Wang; Zhengyang Geng; Hongsheng Li (CoRR, 2024)

Flow Generator Matching. - Zemin Huang; Zhengyang Geng; Weijian Luo; Guo-Jun Qi (CoRR, 2024)

Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models. - Weijian Luo; Colin Zhang; Debing Zhang; Zhengyang Geng (CoRR, 2024)

Consistency Models Made Easy. - Zhengyang Geng; Ashwini Pokle; Weijian Luo; Justin Lin; J. Zico Kolter (ICLR, 2025)

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation. - Meng-Hao Guo; Jiajun Xu; Yi Zhang 099; Jiaxi Song; Haoyang Peng; Yi-Xuan Deng; Xinzhi Dong; Kiyohiro Nakayama; Zhengyang Geng; Chen Wang 049; Bolin Ni; Guo-Wei Yang; et al. (CoRR, 2025)

Mean Flows for One-step Generative Modeling. - Zhengyang Geng; Mingyang Deng; Xingjian Bai; J. Zico Kolter; Kaiming He (CoRR, 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 005; Pei-lin Li; Xinjie Lin; Jinnian Zhang; Xin-Sheng Chen; Yi Zhang 099; Kiyohiro Nakayama; Zhengyang Geng; et al. (CoRR, 2025)