Semi-structured B-spline for blending two B-spline surfaces. - Hongwei Lin; Yunyang Xiong; Hongwei Liao (Comput. Math. Appl., 2014)

Affine Arithmetic-Based B-Spline Surface Intersection with GPU Acceleration. - Hongwei Lin; Yang Qin; Hongwei Liao; Yunyang Xiong (IEEE Trans. Vis. Comput. Graph., 2014)

Filter Flow Made Practical: Massively Parallel and Lock-Free. - Sathya N. Ravi; Yunyang Xiong; Lopamudra Mukherjee; Vikas Singh (CVPR, 2017)

Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty. - Hao Henry Zhou; Yunyang Xiong; Vikas Singh (CoRR, 2018)

Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. - Yunyang Xiong; Hyunwoo J. Kim; Vikas Singh (CVPR, 2019)

Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains. - Ronak Mehta; Rudrasis Chakraborty; Vikas Singh; Yunyang Xiong (ICCV, 2019)

Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? - Yunyang Xiong; Ronak Mehta; Vikas Singh (ICCV, 2019)

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. - Yunyang Xiong; Hyunwoo J. Kim; Bhargav Tangirala; Ronak Mehta; Sterling C. Johnson; Vikas Singh (IPMI, 2019)

ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification. - Yunyang Xiong; Hyunwoo J. Kim; Varsha Hedau (CoRR, 2019)

Resource Constrained Neural Network Architecture Search. - Yunyang Xiong; Ronak Mehta; Vikas Singh (CoRR, 2019)

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. - Yunyang Xiong; Hanxiao Liu; Suyog Gupta; Berkin Akin; Gabriel Bender; Pieter-Jan Kindermans; Mingxing Tan; Vikas Singh; Bo Chen 019 (CoRR, 2020)

Isogeometric Least-Squares Collocation Method with Consistency and Convergence Analysis. - Hongwei Lin; Yunyang Xiong; Xiao Wang; Qianqian Hu; Jingwen Ren (J. Syst. Sci. Complex., 2020)

Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention. - Yunyang Xiong; Zhanpeng Zeng; Rudrasis Chakraborty; Mingxing Tan; Glenn Fung; Yin Li 003; Vikas Singh (AAAI, 2021)

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. - Yunyang Xiong; Hanxiao Liu; Suyog Gupta; Berkin Akin; Gabriel Bender; Yongzhe Wang; Pieter-Jan Kindermans; Mingxing Tan; Vikas Singh; Bo Chen 019 (CVPR, 2021)

You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. - Zhanpeng Zeng; Yunyang Xiong; Sathya N. Ravi; Shailesh Acharya; Glenn Moo Fung; Vikas Singh (ICML, 2021)

SageMix: Saliency-Guided Mixup for Point Clouds. - Sanghyeok Lee; Minkyu Jeon; Injae Kim; Yunyang Xiong; Hyunwoo J. Kim (NeurIPS, 2022)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. - Haoran You; Yunyang Xiong; Xiaoliang Dai; Bichen Wu; Peizhao Zhang; Haoqi Fan 001; Peter Vajda; Yingyan Lin (CoRR, 2022)

Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging. - Tuan Q. Dinh; Yunyang Xiong; Zhichun Huang; Tien Vo; Akshay Mishra; Won Hwa Kim; Sathya N. Ravi; Vikas Singh (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Self-Positioning Point-Based Transformer for Point Cloud Understanding. - Jinyoung Park; Sanghyeok Lee; Sihyeon Kim; Yunyang Xiong; Hyunwoo J. Kim (CVPR, 2023)

Fast Point Cloud Generation with Straight Flows. - Lemeng Wu; Dilin Wang; Chengyue Gong; Xingchao Liu; Yunyang Xiong; Rakesh Ranjan; Raghuraman Krishnamoorthi; Vikas Chandra; Qiang Liu 001 (CVPR, 2023)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. - Haoran You; Yunyang Xiong; Xiaoliang Dai; Bichen Wu; Peizhao Zhang; Haoqi Fan 001; Peter Vajda; Yingyan Celine Lin (CVPR, 2023)

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning. - Jun Chen 021; Deyao Zhu; Xiaoqian Shen; Xiang Li; Zechun Liu; Pengchuan Zhang; Raghuraman Krishnamoorthi; Vikas Chandra; Yunyang Xiong; Mohamed Elhoseiny (CoRR, 2023)

SqueezeSAM: User friendly mobile interactive segmentation. - Balakrishnan Varadarajan; Bilge Soran; Forrest N. Iandola; Xiaoyu Xiang; Yunyang Xiong; Lemeng Wu; Chenchen Zhu; Raghuraman Krishnamoorthi; Vikas Chandra (CoRR, 2023)

PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. - Lemeng Wu; Dilin Wang; Meng Li 004; Yunyang Xiong; Raghuraman Krishnamoorthi; Qiang Liu 001; Vikas Chandra (3DV, 2024)

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. - Ganesh Jawahar; Haichuan Yang; Yunyang Xiong; Zechun Liu; Dilin Wang; Fei Sun; Meng Li 004; Aasish Pappu; Barlas Oguz; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Raghuraman Krishnamoorthi; et al. (ACL (Findings), 2024)

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. - Yunyang Xiong; Bala Varadarajan; Lemeng Wu; Xiaoyu Xiang; Fanyi Xiao; Chenchen Zhu; Xiaoliang Dai; Dilin Wang; Fei Sun; Forrest N. Iandola; Raghuraman Krishnamoorthi; Vikas Chandra (CVPR, 2024)

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. - Zechun Liu; Changsheng Zhao 002; Forrest N. Iandola; Chen Lai; Yuandong Tian; Igor Fedorov; Yunyang Xiong; Ernie Chang; Yangyang Shi; Raghuraman Krishnamoorthi; Liangzhen Lai; Vikas Chandra (ICML, 2024)

Data Efficient Reflow for Few Step Audio Generation. - Lemeng Wu; Zhaoheng Ni; Bowen Shi; Gaël Le Lan; Anurag Kumar 003; Varun Nagaraja; Xinhao Mei; Yunyang Xiong; Bilge Soran; Raghuraman Krishnamoorthi; Wei-Ning Hsu; Yangyang Shi; et al. (SLT, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Agent-as-a-Judge: Evaluate Agents with Agents. - Mingchen Zhuge; Changsheng Zhao 002; Dylan R. Ashley; Wenyi Wang; Dmitrii Khizbullin; Yunyang Xiong; Zechun Liu; Ernie Chang; Raghuraman Krishnamoorthi; Yuandong Tian; Yangyang Shi; Vikas Chandra; et al. (CoRR, 2024)

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. - Xiaoqian Shen; Yunyang Xiong; Changsheng Zhao 002; Lemeng Wu; Jun Chen 021; Chenchen Zhu; Zechun Liu; Fanyi Xiao; Balakrishnan Varadarajan; Florian Bordes; Zhuang Liu; Hu Xu 001; et al. (CoRR, 2024)

Efficient Track Anything. - Yunyang Xiong; Chong Zhou; Xiaoyu Xiang; Lemeng Wu; Chenchen Zhu; Zechun Liu; Saksham Suri; Balakrishnan Varadarajan; Ramya Akula; Forrest N. Iandola; Raghuraman Krishnamoorthi; Bilge Soran; 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)

EdgeTAM: On-Device Track Anything Model. - Chong Zhou; Chenchen Zhu; Yunyang Xiong; Saksham Suri; Fanyi Xiao; Lemeng Wu; Raghuraman Krishnamoorthi; Bo Dai 027; Chen Change Loy; Vikas Chandra; Bilge Soran (CVPR, 2025)

EdgeTAM: On-Device Track Anything Model. - Chong Zhou; Chenchen Zhu; Yunyang Xiong; Saksham Suri; Fanyi Xiao; Lemeng Wu; Raghuraman Krishnamoorthi; Bo Dai 002; Chen Change Loy; Vikas Chandra; Bilge Soran (CoRR, 2025)

ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization. - Zechun Liu; Changsheng Zhao 002; Hanxian Huang; Sijia Chen; Jing Zhang; Jiawei Zhao; Scott Roy; Lisa Jin; Yunyang Xiong; Yangyang Shi; Lin Xiao; Yuandong Tian; et al. (CoRR, 2025)