Long (Tony) Lian

About

I am an EECS PhD student at UC Berkeley and BAIR, advised by Prof. Adam Yala and Prof. Trevor Darrell. I am also an intern with the Deep Imagination Research team at NVIDIA Research. I hold a B.A. in Computer Science from UC Berkeley, where I conducted research under the supervision of Prof. Stella Yu during my undergraduate studies. My research primarily focuses on developing multi-modal vision-language models aimed at understanding and generation across text, image, and video data. I also interned with Baidu’s distributed deep learning team during my undergraduate years.

Email / Google Scholar / Twitter / LinkedIn / Github

Publications (*: equal contribution)

CrossMAE: 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†

Paper / Project Page / Code / BibTex / TL;DR

Unsupervised Universal Image Segmentation

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

Paper / BibTex / TL;DR

Self-correcting LLM-controlled Diffusion Models

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

Paper / Project Page / Code / BibTex / TL;DR

LLM-grounded Video Diffusion Models

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

International Conference on Learning Representations (ICLR), 2024

Paper / Project Page / Code / BibTex / TL;DR

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Long Lian, Boyi Li, Adam Yala, Trevor Darrell

Transactions on Machine Learning Research (TMLR)

Paper / Blog Post / Project Page / Demo / Code / Poster / BibTex / TL;DR

Q-Diffusion: Quantizing Diffusion Models

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

International Conference on Computer Vision (ICCV), 2023

Paper / Project Page / Code / BibTex / TL;DR

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping

Long Lian, Zhirong Wu, Stella X. Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Paper / Project Page / Video / Demo Video / Code / Poster / BibTex / TL;DR

Unsupervised Selective Labeling for More Effective Semi-Supervised Learning

Xudong Wang*, Long Lian*, Stella X. Yu

European Conference on Computer Vision (ECCV), 2022

Paper / Video / Code / Poster / BibTex / TL;DR

Debiased Learning from Naturally Imbalanced Pseudo-Labels

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

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Paper / Code / BibTex / TL;DR

Unsupervised Visual Attention and Invariance for Reinforcement Learning

Xudong Wang*, Long Lian*, Stella X. Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Paper / Code / Poster / BibTex / TL;DR

Long-tailed Recognition by Routing Diverse Distribution-aware Experts

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

International Conference on Learning Representations (ICLR), 2021 (Spotlight)

Paper / Video / Code / Poster / BibTex / TL;DR

Academic Services

Reviewer for CVPR/ECCV/ICCV/ICLR/ICML/NeurIPS

Side Projects

Stable Diffusion XL Demo WebUI: A gradio-based WebUI that allows playing around with SDXL locally and on Colab for free. Open In Colab

AnimeGAN.js: An implementation of AnimeGAN, which converts photos to anime style online, with tf.js.

Rainbow: An implementation of Rainbow algorithm with PARL reinforcement learning framework.