For the comprehensive list, check out my Google Scholar page.
(* denotes equal contribution or alphabetic ordering.)
Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation Yiping Wang, Xuehai He, Kuan Wang, Luyao Ma, Jianwei Yang, Shuohang Wang, Simon Shaolei Du, Yelong Shen CVPR 2025 [Arxiv] [Code] [Poster] [Twitter] [Website]
Infer Human's Intentions Before Following Natural Language Instructions Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques AAAI 2025 [Arxiv] [Code] [Twitter] [Website]
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning Yiping Wang*, Yifang Chen*, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin Jamieson, Simon Shaolei Du NeurIPS 2024 (Spotlight) [Arxiv] [Code] [Poster] [Twitter] [Previous Versions]
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Shaolei Du ICLR 2024 [Arxiv] [Twitter]
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer Yuandong Tian, Yiping Wang, Beidi Chen, Simon Shaolei Du NeurIPS 2023 (Oral presentation @ ICML2023-HiDL) [Arxiv] [Poster] [Twitter]
Improved Active Multi-Task Representation Learning via Lasso Yiping Wang, Yifang Chen, Kevin Jamieson, Simon S. Du ICML 2023 [Arxiv]
C-Mixup: Improving Generalization in Regression Huaxiu Yao*, Yiping Wang*, Linjun Zhang, James Zou, Chelsea Finn NeurIPS 2022 [Arxiv] [Code]
SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters Yiping Wang, Hanxian Huang, Yifang Chen, Jishen Zhao, Simon Shaolei Du, Yuandong Tian preprint [Arxiv]