Xiangyu Yue

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 83

Top Topics

Semantic Segmentation

Domain Adaptation

Top Venues

Publications

Jinmei Liu, Wenbin Li, Xiangyu Yue, Shilin Zhang, Chunlin Chen, Zhi Wang
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay. CoRR (2024)
Feng Wang, Haihang Ruan, Zhihuang Xie, Ronggang Wang, Xiangyu Yue
SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information. CoRR (2024)
Yiyuan Zhang, Yuhao Kang, Zhixin Zhang, Xiaohan Ding, Sanyuan Zhao, Xiangyu Yue
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions. CoRR (2024)
Feng Wang, Haihang Ruan, Zhihuang Xie, Ronggang Wang, Xiangyu Yue
SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information. DCC (2024)
Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue, Wanli Ouyang
EMR-Merging: Tuning-Free High-Performance Model Merging. CoRR (2024)
Anzi Xu, Yujie Di, Xiangyu Yue, Lian-Kuan Chen
Seeing through Wave - Real-time Beam Tracking via a ResNet-based Model in Water-air OWC Systems. OFC (2024)
Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng
Safety Alignment for Vision Language Models. CoRR (2024)
Yiyuan Zhang, Xiaohan Ding, Kaixiong Gong, Yixiao Ge, Ying Shan, Xiangyu Yue
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. CoRR (2024)
Yiyuan Zhang, Handong Li, Jing Liu, Xiangyu Yue
Explore the Limits of Omni-modal Pretraining at Scale. CoRR (2024)
Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Dongzhan Zhou, Shufei Zhang, Mao Su, Hansen Zhong, Yuqiang Li, Wanli Ouyang
ChemLLM: A Chemical Large Language Model. CoRR (2024)
Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Lirui Zhao, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Xiangyang Zhu, Si Liu, Xiangyu Yue, Dingning Liu, Wanli Ouyang, Ziwei Liu, Yu Qiao, Hongsheng Li, Peng Gao
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT. CoRR (2024)
Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue
OneLLM: One Framework to Align All Modalities with Language. CoRR (2023)
Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, Hongsheng Li, Yu Qiao
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model. CoRR (2023)
Changqi Wang, Haoyu Xie, Yuhui Yuan, Chong Fu, Xiangyu Yue
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation. CoRR (2023)
Eric Vin, Shun Kashiwa, Matthew Rhea, Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. CoRR (2023)
Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue
Towards Unified and Effective Domain Generalization. CoRR (2023)
Min Liu, Alberto L. Sangiovanni-Vincentelli, Xiangyu Yue
Beating Backdoor Attack at Its Own Game. ICCV (2023)
Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. CoRR (2023)
Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, Yu Qiao
ImageBind-LLM: Multi-modality Instruction Tuning. CoRR (2023)
Changqi Wang, Haoyu Xie, Yuhui Yuan, Chong Fu, Xiangyu Yue
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation. ICCV (2023)
Min Liu, Alberto L. Sangiovanni-Vincentelli, Xiangyu Yue
Backdoor Defense with Non-Adversarial Backdoor. CoRR (2023)
Zhanhui Zhou, Jie Liu, Chao Yang, Jing Shao, Yu Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao
Beyond One-Preference-for-All: Multi-Objective Direct Preference Optimization for Language Models. CoRR (2023)
Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Fusheng Jin, Xiangyu Yue
Online Vectorized HD Map Construction using Geometry. CoRR (2023)
Yan Ma, Weicong Liang, Yiduo Hao, Bohan Chen, Xiangyu Yue, Chao Zhang, Yuhui Yuan
Revisiting DETR Pre-training for Object Detection. CoRR (2023)
Xiaohan Ding, Yiyuan Zhang, Yixiao Ge, Sijie Zhao, Lin Song, Xiangyu Yue, Ying Shan
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition. CoRR (2023)
Eric Vin, Shun Kashiwa, Matthew Rhea, Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. CAV (1) (2023)
Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. ICCV (2023)
Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Scenic: a language for scenario specification and data generation. Mach. Learn. 112 (10) (2023)
Yiyuan Zhang, Kaixiong Gong, Kaipeng Zhang, Hongsheng Li, Yu Qiao, Wanli Ouyang, Xiangyu Yue
Meta-Transformer: A Unified Framework for Multimodal Learning. CoRR (2023)
Yiyi He, Xiangyu Yue, Sarah Lindbergh, Jianxi Gao, Chuck Graves, Jasenka Rakas
Dissecting lightning strike hazard impact patterns to National Airspace System facilities in the contiguous United States. Comput. Environ. Urban Syst. 91 (2022)
Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. ECCV (37) (2022)
Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. AAAI (2022)
Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu
MLSeg: Image and Video Segmentation as Multi-Label Classification and Selected-Label Pixel Classification. CoRR (2022)
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation. ECCV (24) (2022)
Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. IEEE Trans. Cybern. 52 (10) (2022)
Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV (2022)
Zangwei Zheng, Xiangyu Yue, Kai Wang, Yang You
Prompt Vision Transformer for Domain Generalization. CoRR (2022)
Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets. CoRR (2021)
Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. WWW (2021)
Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR (2021)
Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner
Unsupervised Point Cloud Pre-training via Occlusion Completion. ICCV (2021)
Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoff Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. CoRR (2021)
Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
Scene-aware Learning Network for Radar Object Detection. ICMR (2021)
Sicheng Zhao, Bo Li, Pengfei Xu, Xiangyu Yue, Guiguang Ding, Kurt Keutzer
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. Int. J. Comput. Vis. 129 (8) (2021)
Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
Multi-source Few-shot Domain Adaptation. CoRR (2021)
Haojin Liao, Xiaolin Song, Sicheng Zhao, Shanghang Zhang, Xiangyu Yue, Xingxu Yao, Yueming Zhang, Tengfei Xing, Pengfei Xu, Qiang Wang
2nd Place Solution for VisDA 2021 Challenge - Universally Domain Adaptive Image Recognition. CoRR (2021)
Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR (2021)
Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR (2021)
Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
Scene-aware Learning Network for Radar Object Detection. CoRR (2021)
Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. CoRR (2020)
Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR (2020)
Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation. CoRR (2020)
Jay Shenoy, Edward Kim, Xiangyu Yue, Taesung Park, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. CoRR (2020)
Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR (2020)
Sicheng Zhao, Bo Li, Xiangyu Yue, Pengfei Xu, Kurt Keutzer
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. CoRR (2020)
Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. CoRR (2020)
Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner
Pre-Training by Completing Point Clouds. CoRR (2020)
Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. CVPR (2020)
Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Scenic: A Language for Scenario Specification and Data Generation. CoRR (2020)
Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Hassan Foroosh
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation. CoRR (2020)
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. CoRR (2020)
Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data. CoRR (2019)
Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer
Multi-source Domain Adaptation for Semantic Segmentation. NeurIPS (2019)
Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer
Multi-source Domain Adaptation for Semantic Segmentation. CoRR (2019)
Daniel J. Fremont, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Scenic: a language for scenario specification and scene generation. PLDI (2019)
Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data. ICCV (2019)
Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. ICRA (2019)
Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. CoRR (2018)
Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. ICRA (2018)
Sanjit A. Seshia, Ankush Desai, Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Sumukh Shivakumar, Marcell Vazquez-Chanlatte, Xiangyu Yue
Formal Specification for Deep Neural Networks. ATVA (2018)
Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer
A Novel Domain Adaptation Framework for Medical Image Segmentation. CoRR (2018)
Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer
SqueezeNext: Hardware-Aware Neural Network Design. CVPR Workshops (2018)
Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. CoRR (2018)
Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer
A Novel Domain Adaptation Framework for Medical Image Segmentation. BrainLes@MICCAI (2) (2018)
Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Counterexample-Guided Data Augmentation. CoRR (2018)
Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. ICMR (2018)
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CVPR (2018)
Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer
SqueezeNext: Hardware-Aware Neural Network Design. CoRR (2018)
Daniel J. Fremont, Xiangyu Yue, Tommaso Dreossi, Shromona Ghosh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Scenic: Language-Based Scene Generation. CoRR (2018)
Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Counterexample-Guided Data Augmentation. IJCAI (2018)
Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. CoRR (2017)
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CoRR (2017)