Long Lian

According to our database, Long Lian authored at least 26 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing.

Baifeng Shi, Stephanie Fu, Long Lian, Hanrong Ye, David Eigen, Aaron Reite, Boyi Li, Jan Kautz, Song Han, David M. Chan, Pavlo Molchanov, Trevor Darrell, Hongxu Yin

CoRR, March, 2026

V₁: Unifying Generation and Self-Verification for Parallel Reasoners.

Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan, Xiaoxia Wu, Junxiong Wang, Alpay Ariyak, Qingyang Wu, Samir Khaki, Rishabh Tiwari, Long Lian, Yucheng Lu, Boyi Li, Alane Suhr, Ben Athiwaratkun, Kurt Keutzer

CoRR, March, 2026

VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents.

Zirui Wang, Junyi Zhang, Jiaxin Ge, Long Lian, Letian Fu, Lisa Dunlap, Ken Goldberg, Xudong Wang, Ion Stoica, David M. Chan, Sewon Min, Joseph E. Gonzalez

CoRR, January, 2026

2025

Visually Prompted Benchmarks Are Surprisingly Fragile.

Haiwen Feng, Long Lian, Lisa Dunlap, Jiahao Shu, Xudong Wang, Renhao Wang, Trevor Darrell, Alane Suhr, Angjoo Kanazawa

CoRR, December, 2025

ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models.

Long Lian, Sida Wang, Felix Juefei-Xu, Tsu-Jui Fu, Xiuyu Li, Adam Yala, Trevor Darrell, Alane Suhr, Yuandong Tian, Xi Victoria Lin

CoRR, December, 2025

Pillar-0: A New Frontier for Radiology Foundation Models.

Kumar Krishna Agrawal, Longchao Liu, Long Lian, Michael Nercessian, Natalia Harguindeguy, Yufu Wu, Peter Mikhael, Gigin Lin, Lecia V. Sequist, Florian Fintelmann, Trevor Darrell, Yutong Bai, Maggie Chung, Adam Yala

CoRR, November, 2025

Constantly Improving Image Models Need Constantly Improving Benchmarks.

Jiaxin Ge, Grace Luo, Heekyung Lee, Nishant Malpani, Long Lian, Xudong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, David M. Chan

CoRR, October, 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, April, 2025

TULIP: Towards Unified Language-Image Pretraining.

Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan

CoRR, March, 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, March, 2025

Rethinking Patch Dependence for Masked Autoencoders.

Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg

Trans. Mach. Learn. Res., 2025

TULIP: Contrastive Image-Text Learning with Richer Vision Understanding.

Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Describe Anything: Detailed Localized Image and Video Captioning.

Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

LLM-grounded Video Diffusion Models.

Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Correcting LLM-Controlled Diffusion Models.

Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Universal Image Segmentation.

Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Q-Diffusion: Quantizing Diffusion Models.

Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping.

Long Lian, Zhirong Wu, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy.

Long Lian, Zhirong Wu, Stella X. Yu

CoRR, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning.

Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

CoRR, 2022

Unsupervised Selective Labeling for More Effective Semi-supervised Learning.

Xudong Wang, Long Lian, Stella X. Yu

Proceedings of the Computer Vision - ECCV 2022, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels.

Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Data-Centric Semi-Supervised Learning.

Xudong Wang, Long Lian, Stella X. Yu

CoRR, 2021

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts.

Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Visual Attention and Invariance for Reinforcement Learning.

Xudong Wang, Long Lian, Stella X. Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021