Long (Tony) Lian


I am an EECS PhD student at UC Berkeley, advised by Prof. Adam Yala and Prof. Trevor Darrell. I completed my B.A. in Computer Science at UC Berkeley, where I had the privilege of being supervised by Prof. Stella Yu during my undergraduate studies. My primary research focus involves data-efficient computer vision algorithms that leverage various forms of supervision or even operate without external supervision. I have also gained valuable research experiences as an intern with Baidu’s distributed deep learning team.

Email / Google Scholar / Twitter / LinkedIn / Github

Recently, an identity attacker has been sending spam emails under my name through anonymous email addresses. Please disregard the spam email if you happen to receive one of them. I have already taken the necessary steps to report this fraudulent activity to the appropriate administrative team. I apologize for any confusion this may cause.

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†

Unsupervised Universal Image Segmentation

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

Self-correcting LLM-controlled Diffusion Models

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

LLM-grounded Video Diffusion Models

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

International Conference on Learning Representations (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

Transactions on Machine Learning Research (TMLR)

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

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

Unsupervised Selective Labeling for More Effective Semi-Supervised Learning

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

European Conference on Computer Vision (ECCV), 2022

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

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

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)

Academic Services

Reviewer for CVPR/ECCV/ICCV/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.