MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. - Aida Amini; Saadia Gabriel; Shanchuan Lin; Rik Koncel-Kedziorski; Yejin Choi 001; Hannaneh Hajishirzi (NAACL-HLT (1), 2019)

Fact or Fiction: Verifying Scientific Claims. - David Wadden; Shanchuan Lin; Kyle Lo; Lucy Lu Wang; Madeleine van Zuylen; Arman Cohan; Hannaneh Hajishirzi (EMNLP (1), 2020)

Real-Time High-Resolution Background Matting. - Shanchuan Lin; Andrey Ryabtsev; Soumyadip Sengupta; Brian L. Curless; Steven M. Seitz; Ira Kemelmacher-Shlizerman (CVPR, 2021)

Robust High-Resolution Video Matting with Temporal Guidance. - Shanchuan Lin; Linjie Yang; Imran Saleemi; Soumyadip Sengupta (WACV, 2022)

MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. - Hanshu Yan; Jun Hao Liew; Long Mai; Shanchuan Lin; Jiashi Feng (CoRR, 2023)

Common Diffusion Noise Schedules and Sample Steps are Flawed. - Shanchuan Lin; Bingchen Liu; Jiashi Li; Xiao Yang (WACV, 2024)

Diffusion Model with Perceptual Loss. - Shanchuan Lin; Xiao Yang (CoRR, 2024)

SDXL-Lightning: Progressive Adversarial Diffusion Distillation. - Shanchuan Lin; Anran Wang 001; Xiao Yang (CoRR, 2024)

AnimateDiff-Lightning: Cross-Model Diffusion Distillation. - Shanchuan Lin; Xiao Yang (CoRR, 2024)

Is Your Text-to-Image Model Robust to Caption Noise? - Weichen Yu; Ziyan Yang; Shanchuan Lin; Qi Zhao; Jianyi Wang; Liangke Gui; Matt Fredrikson; Lu Jiang (CoRR, 2024)

Diffusion Adversarial Post-Training for One-Step Video Generation. - Shanchuan Lin; Xin Xia 014; Yuxi Ren; Ceyuan Yang; Xuefeng Xiao 001; Lu Jiang (CoRR, 2025)

CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models. - Hao He; Ceyuan Yang; Shanchuan Lin; Yinghao Xu 001; Meng Wei 007; Liangke Gui; Qi Zhao 001; Gordon Wetzstein; Lu Jiang; Hongsheng Li 001 (CoRR, 2025)

Training-free Diffusion Acceleration with Bottleneck Sampling. - Ye Tian; Xin Xia 014; Yuxi Ren; Shanchuan Lin; Xing Wang; Xuefeng Xiao 001; Yunhai Tong; Ling Yang 006; Bin Cui 001 (CoRR, 2025)

Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model. - Team Seawead; Ceyuan Yang; Zhijie Lin 001; Yang Zhao 003; Shanchuan Lin; Zhibei Ma; Haoyuan Guo; Hao Chen; Lu Qi; Sen Wang; Feng Cheng; Feilong Zuo; et al. (CoRR, 2025)

SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training. - Jianyi Wang; Shanchuan Lin; Zhijie Lin 001; Yuxi Ren; Meng Wei 007; Zongsheng Yue; Shangchen Zhou; Hao Chen; Yang Zhao 003; Ceyuan Yang; Xuefeng Xiao 001; Chen Change Loy; et al. (CoRR, 2025)

Seedance 1.0: Exploring the Boundaries of Video Generation Models. - Yu Gao; Haoyuan Guo; Tuyen Hoang; Weilin Huang; Lu Jiang; Fangyuan Kong; Huixia Li; Jiashi Li; Liang Li; Xiaojie Li; Xunsong Li; Yifu Li; et al. (CoRR, 2025)

Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation. - Shanchuan Lin; Ceyuan Yang; Hao He; Jianwen Jiang; Yuxi Ren; Xin Xia 014; Yang Zhao 003; Xuefeng Xiao 001; Lu Jiang (CoRR, 2025)

VINCIE: Unlocking In-context Image Editing from Video. - Leigang Qu; Feng Cheng; Ziyan Yang; Qi Zhao; Shanchuan Lin; Yichun Shi; Yicong Li 004; Wenjie Wang; Tat-Seng Chua; Lu Jiang (CoRR, 2025)

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis. - Yanzuo Lu; Yuxi Ren; Xin Xia 014; Shanchuan Lin; Xing Wang; Xuefeng Xiao 001; Andy J. Ma; Xiaohua Xie; Jian-Huang Lai (CoRR, 2025)