Long Lian - RankMe

35 papers A* 8Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing. CoRR 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
2026	J	`jnl`	V CoRR 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
2026	J	`jnl`	VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents. CoRR 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
2025	J	`jnl`	Atlas: Multi-Scale Attention Improves Long Context Image Modeling. CoRR Kumar Krishna Agrawal, Long Lian, Longchao Liu, Natalia Harguindeguy, Boyi Li, Alexander Bick, Maggie Chung, Trevor Darrell, Adam Yala
2025	J	`jnl`	Constantly Improving Image Models Need Constantly Improving Benchmarks. CoRR Jiaxin Ge, Grace Luo, Heekyung Lee, Nishant Malpani, Long Lian, Xudong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, David M. Chan
2025	J	`jnl`	Describe Anything: Detailed Localized Image and Video Captioning. CoRR Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui
2025	J	`jnl`	Learning Adaptive Parallel Reasoning with Language Models. CoRR Jiayi Pan, Xiuyu Li, Long Lian, Charlie Snell, Yifei Zhou, Adam Yala, Trevor Darrell, Kurt Keutzer, Alane Suhr
2025	J	`jnl`	Pillar-0: A New Frontier for Radiology Foundation Models. CoRR 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
2025	J	`jnl`	Rethinking Patch Dependence for Masked Autoencoders. Trans. Mach. Learn. Res. Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
2025	—	`conf`	TULIP: Contrastive Image-Text Learning with Richer Vision Understanding. ICCVW Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan
2025	J	`jnl`	TULIP: Towards Unified Language-Image Pretraining. CoRR Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan
2025	J	`jnl`	ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models. CoRR Long Lian, Sida Wang, Felix Juefei-Xu, Tsu-Jui Fu, Xiuyu Li, Adam Yala, Trevor Darrell, Alane Suhr, Yuandong Tian, Xi Victoria Lin
2025	J	`jnl`	Visually Prompted Benchmarks Are Surprisingly Fragile. CoRR Haiwen Feng, Long Lian, Lisa Dunlap, Jiahao Shu, Xudong Wang, Renhao Wang, Trevor Darrell, Alane Suhr, Angjoo Kanazawa
2024	J	`jnl`	LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. Trans. Mach. Learn. Res. Long Lian, Boyi Li, Adam Yala, Trevor Darrell
2024	A*	`conf`	LLM-grounded Video Diffusion Models. ICLR Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
2024	J	`jnl`	Rethinking Patch Dependence for Masked Autoencoders. CoRR Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
2024	A*	`conf`	Self-Correcting LLM-Controlled Diffusion Models. CVPR Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell
2024	A*	`conf`	Unsupervised Universal Image Segmentation. CVPR Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell
2023	A*	`conf`	Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CVPR Long Lian, Zhirong Wu, Stella X. Yu
2023	J	`jnl`	Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CoRR Long Lian, Zhirong Wu, Stella X. Yu
2023	J	`jnl`	LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. CoRR Long Lian, Boyi Li, Adam Yala, Trevor Darrell
2023	J	`jnl`	LLM-grounded Video Diffusion Models. CoRR Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li
2023	A*	`conf`	Q-Diffusion: Quantizing Diffusion Models. ICCV Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
2023	J	`jnl`	Q-Diffusion: Quantizing Diffusion Models. CoRR Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
2023	J	`jnl`	Self-correcting LLM-controlled Diffusion Models. CoRR Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell
2023	J	`jnl`	Unsupervised Universal Image Segmentation. CoRR Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell
2022	J	`jnl`	Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. CoRR Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
2022	A*	`conf`	Debiased Learning from Naturally Imbalanced Pseudo-Labels. CVPR Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
2022	J	`jnl`	Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. CoRR Long Lian, Zhirong Wu, Stella X. Yu
2022	—	`conf`	Unsupervised Selective Labeling for More Effective Semi-supervised Learning. ECCV (30) Xudong Wang, Long Lian, Stella X. Yu
2021	J	`jnl`	Data-Centric Semi-Supervised Learning. CoRR Xudong Wang, Long Lian, Stella X. Yu
2021	A*	`conf`	Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. ICLR Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu
2021	A*	`conf`	Unsupervised Visual Attention and Invariance for Reinforcement Learning. CVPR Xudong Wang, Long Lian, Stella X. Yu
2021	J	`jnl`	Unsupervised Visual Attention and Invariance for Reinforcement Learning. CoRR Xudong Wang, Long Lian, Stella X. Yu
2020	J	`jnl`	Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. CoRR Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu