Unsupervised Visual Attention and Invariance for Reinforcement Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (CVPR, 2021)

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. - Xudong Wang 007; Long Lian; Zhongqi Miao; Ziwei Liu 002; Stella X. Yu (ICLR, 2021)

Data-Centric Semi-Supervised Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (CoRR, 2021)

Debiased Learning from Naturally Imbalanced Pseudo-Labels. - Xudong Wang 007; Zhirong Wu; Long Lian; Stella X. Yu (CVPR, 2022)

Unsupervised Selective Labeling for More Effective Semi-supervised Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (ECCV (30), 2022)

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. - Xudong Wang 007; Zhirong Wu; Long Lian; Stella X. Yu (CoRR, 2022)

Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. - Long Lian; Zhirong Wu; Stella X. Yu (CoRR, 2022)

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. - Long Lian; Zhirong Wu; Stella X. Yu (CVPR, 2023)

Q-Diffusion: Quantizing Diffusion Models. - Xiuyu Li; Yijiang Liu; Long Lian; Huanrui Yang; Zhen Dong 003; Daniel Kang; Shanghang Zhang; Kurt Keutzer (ICCV, 2023)

Unsupervised Universal Image Segmentation. - Dantong Niu; Xudong Wang 007; Xinyang Han; Long Lian; Roei Herzig; Trevor Darrell (CVPR, 2024)

Self-Correcting LLM-Controlled Diffusion Models. - Tsung-Han Wu; Long Lian; Joseph E. Gonzalez; Boyi Li; Trevor Darrell (CVPR, 2024)

LLM-grounded Video Diffusion Models. - Long Lian; Baifeng Shi; Adam Yala; Trevor Darrell; Boyi Li (ICLR, 2024)

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. - Long Lian; Boyi Li; Adam Yala; Trevor Darrell (Trans. Mach. Learn. Res., 2024)

Rethinking Patch Dependence for Masked Autoencoders. - Letian Fu; Long Lian; Renhao Wang; Baifeng Shi; Xudong Wang 007; Adam Yala; Trevor Darrell; Alexei A. Efros; Ken Goldberg (Trans. Mach. Learn. Res., 2025)

Atlas: Multi-Scale Attention Improves Long Context Image Modeling. - Kumar Krishna Agrawal; Long Lian; Longchao Liu; Natalia Harguindeguy; Boyi Li; Alexander Bick; Maggie Chung; Trevor Darrell; Adam Yala (CoRR, 2025)

TULIP: Towards Unified Language-Image Pretraining. - Zineng Tang; Long Lian; Seun Eisape; Xudong Wang 007; Roei Herzig; Adam Yala; Alane Suhr; Trevor Darrell; David M. Chan (CoRR, 2025)

Learning Adaptive Parallel Reasoning with Language Models. - Jiayi Pan; Xiuyu Li; Long Lian; Charlie Snell; Yifei Zhou; Adam Yala; Trevor Darrell; Kurt Keutzer; Alane Suhr (CoRR, 2025)

Describe Anything: Detailed Localized Image and Video Captioning. - Long Lian; Yifan Ding; Yunhao Ge; Sifei Liu; Hanzi Mao; Boyi Li; Marco Pavone 001; Ming-Yu Liu 001; Trevor Darrell; Adam Yala; Yin Cui (CoRR, 2025)