Multi-task co-clustering via nonnegative matrix factorization. - Saining Xie; Hongtao Lu 001; Yangcheng He (ICPR, 2012)

Perception Preserving Projections. - Saining Xie; Jiashi Feng; Shuicheng Yan; Hongtao Lu (BMVC, 2013)

Semi-supervised non-negative matrix factorization for image clustering with graph Laplacian. - Yangcheng He; Hongtao Lu 001; Saining Xie (Multim. Tools Appl., 2014)

Pairwise constrained concept factorization for data representation. - Yangcheng He; Hongtao Lu 001; Lei Huang 005; Saining Xie (Neural Networks, 2014)

Deeply-Supervised Nets. - Chen-Yu Lee; Saining Xie; Patrick W. Gallagher; Zhengyou Zhang; Zhuowen Tu (AISTATS, 2015)

Hyper-class augmented and regularized deep learning for fine-grained image classification. - Saining Xie; Tianbao Yang; Xiaoyu Wang 002; Yuanqing Lin (CVPR, 2015)

Convolutional Pseudo-Prior for Structured Labeling. - Saining Xie; Xun Huang; Zhuowen Tu (CoRR, 2015)

Top-Down Learning for Structured Labeling with Convolutional Pseudoprior. - Saining Xie; Xun Huang; Zhuowen Tu (ECCV (4), 2016)

Aggregated Residual Transformations for Deep Neural Networks. - Saining Xie; Ross B. Girshick; Piotr Dollár; Zhuowen Tu; Kaiming He (CVPR, 2017)

Rethinking Spatiotemporal Feature Learning For Video Understanding. - Saining Xie; Chen Sun 002; Jonathan Huang; Zhuowen Tu; Kevin Murphy 002 (CoRR, 2017)

Holistically-Nested Edge Detection. - Saining Xie; Zhuowen Tu (Int. J. Comput. Vis., 2017)

Attentional ShapeContextNet for Point Cloud Recognition. - Saining Xie; Sainan Liu; Zeyu Chen; Zhuowen Tu (CVPR, 2018)

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. - Saining Xie; Chen Sun 002; Jonathan Huang; Zhuowen Tu; Kevin Murphy 002 (ECCV (15), 2018)

Deep Representation Learning with Induced Structural Priors. - Saining Xie (2018)

Order-Aware Generative Modeling Using the 3D-Craft Dataset. - Zhuoyuan Chen; Kavya Srinet; Charles R. Qi; Haoqi Fan 001; Jerry Ma; Larry Zitnick; Demi Guo; Tong Xiao; Saining Xie; Xinlei Chen; Arthur Szlam; Shubham Tulsiani; et al. (ICCV, 2019)

On Network Design Spaces for Visual Recognition. - Ilija Radosavovic; Justin Johnson 001; Saining Xie; Wan-Yen Lo; Piotr Dollár (ICCV, 2019)

Exploring Randomly Wired Neural Networks for Image Recognition. - Saining Xie; Alexander Kirillov; Ross B. Girshick; Kaiming He (ICCV, 2019)

Sample-Efficient Neural Architecture Search by Learning Action Space. - Linnan Wang; Saining Xie; Teng Li 009; Rodrigo Fonseca; Yuandong Tian (CoRR, 2019)

Momentum Contrast for Unsupervised Visual Representation Learning. - Kaiming He; Haoqi Fan 001; Yuxin Wu; Saining Xie; Ross B. Girshick (CVPR, 2020)

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. - Alvin Wan; Xiaoliang Dai; Peizhao Zhang; Zijian He; Yuandong Tian; Saining Xie; Bichen Wu; Matthew Yu; Tao Xu; Kan Chen; Peter Vajda; Joseph E. Gonzalez (CVPR, 2020)

Are Labels Necessary for Neural Architecture Search? - Chenxi Liu 001; Piotr Dollár; Kaiming He; Ross B. Girshick; Alan L. Yuille; Saining Xie (ECCV (4), 2020)

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. - Saining Xie; Jiatao Gu; Demi Guo; Charles R. Qi; Leonidas J. Guibas; Or Litany (ECCV (3), 2020)

Decoupling Representation and Classifier for Long-Tailed Recognition. - Bingyi Kang; Saining Xie; Marcus Rohrbach; Zhicheng Yan 001; Albert Gordo; Jiashi Feng; Yannis Kalantidis (ICLR, 2020)

Graph Structure of Neural Networks. - Jiaxuan You; Jure Leskovec; Kaiming He; Saining Xie (ICML, 2020)

Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. - Ji Hou; Benjamin Graham; Matthias Nießner; Saining Xie (CVPR, 2021)

An Empirical Study of Training Self-Supervised Vision Transformers. - Xinlei Chen; Saining Xie; Kaiming He (ICCV, 2021)

Pri3D: Can 3D Priors Help 2D Representation Learning? - Ji Hou; Saining Xie; Benjamin Graham; Angela Dai; Matthias Nießner (ICCV, 2021)

On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness. - Eric Mintun; Alexander Kirillov; Saining Xie (NeurIPS, 2021)

Benchmarking Detection Transfer Learning with Vision Transformers. - Yanghao Li; Saining Xie; Xinlei Chen; Piotr Dollár; Kaiming He; Ross B. Girshick (CoRR, 2021)

A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. - Ajinkya Tejankar; Maziar Sanjabi; Bichen Wu; Saining Xie; Madian Khabsa; Hamed Pirsiavash; Hamed Firooz (CoRR, 2021)

A ConvNet for the 2020s. - Zhuang Liu 003; Hanzi Mao; Chao-Yuan Wu; Christoph Feichtenhofer; Trevor Darrell; Saining Xie (CVPR, 2022)

Masked Feature Prediction for Self-Supervised Visual Pre-Training. - Chen Wei 005; Haoqi Fan 001; Saining Xie; Chao-Yuan Wu; Alan L. Yuille; Christoph Feichtenhofer (CVPR, 2022)

Masked Autoencoders Are Scalable Vision Learners. - Kaiming He; Xinlei Chen; Saining Xie; Yanghao Li; Piotr Dollár; Ross B. Girshick (CVPR, 2022)

SLIP: Self-supervision Meets Language-Image Pre-training. - Norman Mu; Alexander Kirillov; David A. Wagner 001; Saining Xie (ECCV (26), 2022)

Exploring Long-Sequence Masked Autoencoders. - Ronghang Hu; Shoubhik Debnath; Saining Xie; Xinlei Chen (CoRR, 2022)

Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search. - Linnan Wang; Saining Xie; Teng Li 009; Rodrigo Fonseca; Yuandong Tian (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. - Sanghyun Woo; Shoubhik Debnath; Ronghang Hu; Xinlei Chen; Zhuang Liu 003; In So Kweon; Saining Xie (CVPR, 2023)

CiT: Curation in Training for Effective Vision-Language Data. - Hu Xu 001; Saining Xie; Po-Yao Huang 001; Licheng Yu; Russell Howes; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICCV, 2023)

Scalable Diffusion Models with Transformers. - William Peebles; Saining Xie (ICCV, 2023)

Going Denser with Open-Vocabulary Part Segmentation. - Peize Sun; Shoufa Chen; Chenchen Zhu; Fanyi Xiao; Ping Luo 002; Saining Xie; Zhicheng Yan 001 (ICCV, 2023)

MoDE: CLIP Data Experts via Clustering. - Jiawei Ma; Po-Yao Huang 001; Saining Xie; Shang-Wen Li 001; Luke Zettlemoyer; Shih-Fu Chang; Wen-Tau Yih; Hu Xu 001 (CVPR, 2024)

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. - Shengbang Tong; Zhuang Liu 003; Yuexiang Zhai; Yi Ma 001; Yann LeCun; Saining Xie (CVPR, 2024)

V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs. - Penghao Wu; Saining Xie (CVPR, 2024)

Image Sculpting: Precise Object Editing with 3D Geometry Control. - Jiraphon Yenphraphai; Xichen Pan; Sainan Liu; Daniele Panozzo; Saining Xie (CVPR, 2024)

Fast Encoding and Decoding for Implicit Video Representation. - Hao Chen 066; Saining Xie; Ser-Nam Lim; Abhinav Shrivastava (ECCV (39), 2024)

SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers. - Nanye Ma; Mark Goldstein; Michael S. Albergo; Nicholas M. Boffi; Eric Vanden-Eijnden; Saining Xie (ECCV (77), 2024)

V-IRL: Grounding Virtual Intelligence in Real Life. - Jihan Yang; Runyu Ding; Ellis Brown; Xiaojuan Qi 001; Saining Xie (ECCV (45), 2024)

Altogether: Image Captioning via Re-aligning Alt-text. - Hu Xu 001; Po-Yao Huang 001; Xiaoqing Ellen Tan; Ching-Feng Yeh; Jacob Kahn; Christine Jou; Gargi Ghosh; Omer Levy; Luke Zettlemoyer; Wen-tau Yih; Shang-Wen Li 001; Saining Xie; et al. (EMNLP, 2024)

Demystifying CLIP Data. - Hu Xu 001; Saining Xie; Xiaoqing Ellen Tan; Po-Yao Huang 001; Russell Howes; Vasu Sharma; Shang-Wen Li 001; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICLR, 2024)

What Does a Visual Formal Analysis of the World's 500 Most Famous Paintings Tell Us About Multimodal LLMs? - Muzi Tao; Saining Xie (Tiny Papers @ ICLR, 2024)

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. - Peter Tong; Ellis Brown; Penghao Wu; Sanghyun Woo; Adithya Iyer; Sai Charitha Akula; Shusheng Yang; Jihan Yang; Manoj Middepogu; Ziteng Wang; Xichen Pan; Rob Fergus; et al. (NeurIPS, 2024)

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. - Simon Zhai; Hao Bai; Zipeng Lin; Jiayi Pan; Peter Tong; Yifei Zhou; Alane Suhr; Saining Xie; Yann LeCun; Yi Ma 001; Sergey Levine (NeurIPS, 2024)

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. - Yuexiang Zhai; Hao Bai; Zipeng Lin; Jiayi Pan; Shengbang Tong; Yifei Zhou; Alane Suhr; Saining Xie; Yann LeCun; Yi Ma 001; Sergey Levine (CoRR, 2024)

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. - Shengbang Tong; Ellis Brown; Penghao Wu; Sanghyun Woo; Manoj Middepogu; Sai Charitha Akula; Jihan Yang; Shusheng Yang; Adithya Iyer; Xichen Pan; Austin Wang; Rob Fergus; et al. (CoRR, 2024)

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning. - Shengbang Tong; David Fan; Jiachen Zhu 002; Yunyang Xiong; Xinlei Chen; Koustuv Sinha; Michael Rabbat; Yann LeCun; Saining Xie; Zhuang Liu 003 (CoRR, 2024)

Science-T2I: Addressing Scientific Illusions in Image Synthesis. - Jialuo Li; Wenhao Chai; Xingyu Fu; Haiyang Xu 002; Saining Xie (CVPR, 2025)

Scaling Inference Time Compute for Diffusion Models. - Nanye Ma; Shangyuan Tong; Haolin Jia; Hexiang Hu; Yu-Chuan Su; Mingda Zhang; Xuan Yang; Yandong Li; Tommi S. Jaakkola; Xuhui Jia; Saining Xie (CVPR, 2025)

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis. - Bingda Tang; Boyang Zheng; Sayak Paul; Saining Xie (CVPR, 2025)

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces. - Jihan Yang; Shusheng Yang; Anjali W. Gupta; Rilyn Han; Li Fei-Fei 001; Saining Xie (CVPR, 2025)

AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark. - Wenhao Chai; Enxin Song; Yilun Du; Chenlin Meng; Vashisht Madhavan; Omer Bar-Tal; Jenq-Neng Hwang; Saining Xie; Christopher D. Manning (ICLR, 2025)

Deconstructing Denoising Diffusion Models for Self-Supervised Learning. - Xinlei Chen; Zhuang Liu 003; Saining Xie; Kaiming He (ICLR, 2025)

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. - June Suk Choi; Kyungmin Lee; Jongheon Jeong; Saining Xie; Jinwoo Shin; Kimin Lee (ICLR, 2025)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. - Sihyun Yu; Sangkyung Kwak; Huiwon Jang; Jongheon Jeong; Jonathan Huang; Jinwoo Shin; Saining Xie (ICLR, 2025)

On Scaling Up 3D Gaussian Splatting Training. - Hexu Zhao; Haoyang Weng; Daohan Lu; Ang Li 006; Jinyang Li 001; Aurojit Panda; Saining Xie (ICLR, 2025)

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps. - Nanye Ma; Shangyuan Tong; Haolin Jia; Hexiang Hu; Yu-Chuan Su; Mingda Zhang; Xuan Yang; Yandong Li; Tommi S. Jaakkola; Xuhui Jia; Saining Xie (CoRR, 2025)

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training. - Tianzhe Chu; Yuexiang Zhai; Jihan Yang; Shengbang Tong; Saining Xie; Dale Schuurmans; Quoc V. Le; Sergey Levine; Yi Ma 001 (CoRR, 2025)

PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop. - Chenyu Li; Oscar Michel; Xichen Pan; Sainan Liu; Mike Roberts; Saining Xie (CoRR, 2025)

Scaling Language-Free Visual Representation Learning. - David Fan; Shengbang Tong; Jiachen Zhu 002; Koustuv Sinha; Zhuang Liu 003; Xinlei Chen; Michael Rabbat; Nicolas Ballas; Yann LeCun; Amir Bar; Saining Xie (CoRR, 2025)

Transfer between Modalities with MetaQueries. - Xichen Pan; Satya Narayan Shukla; Aashu Singh; Zhuokai Zhao; Shlok Kumar Mishra; Jialiang Wang 001; Zhiyang Xu; Jiuhai Chen; Kunpeng Li; Felix Juefei-Xu; Ji Hou; Saining Xie (CoRR, 2025)

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers. - Xingjian Leng; Jaskirat Singh; Yunzhong Hou; Zhenchang Xing; Saining Xie; Liang Zheng 001 (CoRR, 2025)

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset. - Jiuhai Chen; Zhiyang Xu; Xichen Pan; Yushi Hu; Can Qin; Tom Goldstein; Lifu Huang; Tianyi Zhou 001; Saining Xie; Silvio Savarese; Le Xue; Caiming Xiong; et al. (CoRR, 2025)

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis. - Bingda Tang; Boyang Zheng; Xichen Pan; Sayak Paul; Saining Xie (CoRR, 2025)

Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs. - Hao Wang; Pinzhi Huang; Jihan Yang; Saining Xie; Daisuke Kawahara (CoRR, 2025)

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? - Zihan Zheng; Zerui Cheng; Zeyu Shen; Shang Zhou; Kaiyuan Liu; Hansen He; Dongruixuan Li; Stanley Wei; Hangyi Hao; Jianzhu Yao; Peiyao Sheng; Zixuan Wang; et al. (CoRR, 2025)

BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing. - Jiacheng Chen; Ramin Mehran; Xuhui Jia; Saining Xie; Sanghyun Woo (CoRR, 2025)

Spatial Mental Modeling from Limited Views. - Baiqiao Yin; Qineng Wang; Pingyue Zhang; Jianshu Zhang; Kangrui Wang; Zihan Wang 008; Jieyu Zhang 001; Keshigeyan Chandrasegaran; Han Liu; Ranjay Krishna; Saining Xie; Manling Li; et al. (CoRR, 2025)

Meta CLIP 2: A Worldwide Scaling Recipe. - Yung-Sung Chuang; Yang Li; Dong Wang; Ching-Feng Yeh; Kehan Lyu; Ramya Raghavendra; James Glass 001; Lifei Huang; Jason Weston; Luke Zettlemoyer; Xinlei Chen; Zhuang Liu; et al. (CoRR, 2025)