Yu Xiang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 174

Top Venues

CoRR

CVPR

CoRL

Robotics: Science and Systems

University of California, San Diego, San Diego, USA (PHD)

Education History

University of California, San Diego, San Diego, USA

PHD

Publications

Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Benda, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, Eric D. Ragan
Predictive Task Guidance with Artificial Intelligence in Augmented Reality. VR Workshops (2024)
Shivvrat Arya, Yu Xiang, Vibhav Gogate
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. AISTATS (2024)
Haoyu Xiong, Leixin Yang, Gang Fang, Junwei Li, Yu Xiang, Yaping Zhang
Robustness test-time augmentation via learnable aggregation and anomaly detection. J. Intell. Fuzzy Syst. 46 (4) (2024)
Ziyu Shi, Yu Xiang, Jie Chen, Yingchao Bao
A coupled double boundary Burton-Miller method without hypersingular integral. Comput. Math. Appl. 167 (2024)
Leixin Yang, Yu Xiang
AMPLIFY: attention-based mixup for performance improvement and label smoothing in transformer. PeerJ Comput. Sci. 10 (2024)
Yu Xiang, Sai Haneesh Allu, Rohith Peddi, Tyler Summers, Vibhav Gogate
Grasping Trajectory Optimization with Point Clouds. CoRR (2024)
Haoyu Xiong, Xinchun Zhang, Leixin Yang, Yu Xiang, Gang Fang
STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios. LREC/COLING (2024)
Leixin Yang, Haoyu Xiong, Yu Xiang
PDA: Data Augmentation with Preposition Words on Chinese textclassification. CVIPPR (2024)
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. CoRR (2024)
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI (2024)
Shivvrat Arya, Yu Xiang, Vibhav Gogate
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. CoRR (2024)
Zeynab Kaseb, Yu Xiang, Peter Palensky, Pedro P. Vergara
Adaptive Activation Functions for Deep Learning-based Power Flow Analysis. ISGT EUROPE (2023)
Yu Xiang, Lei Bai
Feature Fusion Gate: Improving Transformer Classifier Performance with Controlled Noise. CICAI (1) (2023)
Haoyu Xiong, Xinchun Zhang, Leixin Yang, Yu Xiang, Yaping Zhang
STTA: enhanced text classification via selective test-time augmentation. PeerJ Comput. Sci. 9 (2023)
Yangxiao Lu, Ninad Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. CoRR (2023)
Wencong Wu, Mingfei Chen, Yu Xiang, Yungang Zhang, Yang Yang
Recent progress in image denoising: A training strategy perspective. IET Image Process. 17 (6) (2023)
Jian Wang, Yu Xiang, Rui Chen, Hong Li
Using 2DVD technology to explore droplet characteristic variations of sprinkler irrigation as affected by a maize canopy. Comput. Electron. Agric. 215 (2023)
Yu Xiang, Ting Zhang, Hui Di, Hui Huang, Chunyou Li, Kazushige Ouchi, Yufeng Chen, Jinan Xu
Improving Zero-Shot Cross-Lingual Dialogue State Tracking via Contrastive Learning. CCL (2023)
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. CoRR (2023)
Leixin Yang, Yaping Zhang, Haoyu Xiong, Yu Xiang
AMPLIFY: Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer. CoRR (2023)
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. IJCAI (2023)
Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo
Segment Every Out-of-Distribution Object. CoRR (2023)
Shivvrat Arya, Yu Xiang, Vibhav Gogate
Deep Dependency Networks for Multi-Label Classification. CoRR (2023)
Yangxiao Lu, Ninad A. Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. Robotics: Science and Systems (2023)
Yang Sun, Yu Xiang, Ziyuan Wang, Zheng Liu
Better Data Distillation by Condensing the Interpolated Graphs. CBD (2023)
Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Jikai Wang, Qifan Zhang, Vasundhara Komaragiri, Eric D. Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate
CaptainCook4D: A dataset for understanding errors in procedural activities. CoRR (2023)
Wencong Wu, Shijie Liu, Yi Zhou, Yungang Zhang, Yu Xiang
Dual Residual Attention Network for Image Denoising. CoRR (2023)
Zheng Gong, Lubing Han, Zhenlin An, Lei Yang, Siqi Ding, Yu Xiang
Empowering smart buildings with self-sensing concrete for structural health monitoring. SIGCOMM (2022)
Kang Du, Yu Xiang
Learning Invariant Representations under General Interventions on the Response. CoRR (2022)
Yangxiao Lu, Yuqiao Chen, Nicholas Ruozzi, Yu Xiang
Mean Shift Mask Transformer for Unseen Object Instance Segmentation. CoRR (2022)
Liwei Hu, Wenyong Wang, Yu Xiang, Jun Zhang
Flow Field Reconstructions With GANs Based on Radial Basis Functions. IEEE Trans. Aerosp. Electron. Syst. 58 (4) (2022)
Kang Du, Yu Xiang
An Invariant Matching Property for Distribution Generalization under Intervened Response. CoRR (2022)
Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network. CoRR (2022)
Jianhua Yang, Chengpan Tang, Sanshi Zhou, Yezhi Song, Jinhuo Liu, Yu Xiang, Yuchen Liu, Qiuning Tian, Yufei Yang, Zuo Yang, Xiaogong Hu
High-Accuracy Clock Offsets Estimation Strategy of BDS-3 Using Multi-Source Observations. Remote. Sens. 14 (18) (2022)
Ninad Khargonkar, Neil Song, Zesheng Xu, Balakrishnan Prabhakaran, Yu Xiang
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands. CoRR (2022)
Kang Du, Yu Xiang
An Invariant Matching Property for Distribution Generalization under Intervened Response. EUSIPCO (2022)
Austin Goddard, Yu Xiang, Ilya Soloveychik
Lower Bounds on the Error Probability for Invariant Causal Prediction. CoRR (2022)
Lirui Wang, Xiangyun Meng, Yu Xiang, Dieter Fox
Hierarchical Policies for Cluttered-Scene Grasping With Latent Plans. IEEE Robotics Autom. Lett. 7 (2) (2022)
Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer
Talisman: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information. ECCV (38) (2022)
Mehrdad Pournaderi, Yu Xiang
Communication-Efficient Distributed Multiple Testing for Large-Scale Inference. ISIT (2022)
Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai
Causal Alignment Based Fault Root Causes Localization for Wireless Network. ICASSP (2022)
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments. CoRR (2022)
Ninad Khargonkar, Neil Song, Zesheng Xu, B. Prabhakaran, Yu Xiang
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands. CoRL (2022)
Neil Song, Yu Xiang
SLGTformer: An Attention-Based Approach to Sign Language Recognition. CoRR (2022)
Yu Xiang, Di An, Yaping Zhang
Sentiment Analysis Based On Deep Residual Bidirectional Gated Recurrent Unit Neural Networks. CISP-BMEI (2022)
Yu Xiang, Yu Huang, Haodong Xu, Guangbo Zhang, Wenyong Wang
A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification. ITSC (2022)
Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. CoRR (2022)
Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang
Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network. ECCV (1) (2022)
Ajay Mahimkar, Zihui Ge, Xuan Liu, Yusef Shaqalle, Yu Xiang, Jennifer Yates, Shomik Pathak, Rick Reichel
Aurora: conformity-based configuration recommendation to improve LTE/5G service. IMC (2022)
Liwei Hu, Yu Xiang, Jun Zhang, Zifang Shi, Wenzheng Wang
Aerodynamic data predictions based on multi-task learning. Appl. Soft Comput. 116 (2022)
Yu Xiang, Guangbo Zhang, Liwei Hu, Jun Zhang, Wenyong Wang
A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method. CoRR (2022)
Mehrdad Pournaderi, Yu Xiang
Communication-Efficient Distributed Multiple Testing for Large-Scale Inference. CoRR (2022)
Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. ICRA (2022)
Xinke Deng, Junyi Geng, Timothy Bretl, Yu Xiang, Dieter Fox
iCaps: Iterative Category-level Object Pose and Shape Estimation. CoRR (2022)
Long Wang, Jixin Chen, Debin Hou, Huanbo Li, Zekun Li, Yu Xiang, Xiaojie Xu, Wei Hong
A Variable Gain Power Amplifier Based on Switched-Capacitor Array With Stable Linearity. IEEE Trans. Circuits Syst. II Express Briefs 69 (2) (2022)
Yu Xiang, Yu Huang, Haodong Xu, Guangbo Zhang, Wenyong Wang
A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification. CoRR (2022)
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CVPR (2021)
Jiancheng Fang, Yu Xiang, Yu Huang, Yilong Cui, Wenyong Wang
A Vehicle Control Model to Alleviate Traffic Instability. IEEE Trans. Veh. Technol. 70 (10) (2021)
Xiangyun Meng, Yu Xiang, Dieter Fox
Learning Composable Behavior Embeddings for Long-Horizon Visual Navigation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Mehrdad Pournaderi, Yu Xiang
Differentially Private Variable Selection via the Knockoff Filter. CoRR (2021)
Zhaopeng Hu, Shifeng Li, Yu Xiang
Time Information Transmission Based on FM Broadcast Signal. IEEE Access 9 (2021)
Christopher Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks. CoRR (2021)
Xinran Wang, Yu Xiang, Jun Gao, Jie Ding
Information Laundering for Model Privacy. ICLR (2021)
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
Unseen Object Instance Segmentation for Robotic Environments. IEEE Trans. Robotics 37 (5) (2021)
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox
DexYCB: A Benchmark for Capturing Hand Grasping of Objects. CoRR (2021)
Mehrdad Pournaderi, Yu Xiang
Differentially Private Variable Selection via the Knockoff Filter. MLSP (2021)
Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox
PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking. IEEE Trans. Robotics 37 (5) (2021)
Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information. CoRR (2021)
Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds. CoRL (2021)
Austin Goddard, Yu Xiang
A Subsampling-Based Method for Causal Discovery on Discrete Data. CoRR (2021)
Jiancheng Fang, Yu Xiang, Yu Huang, Yilong Cui, Wenyong Wang
A Vehicles Control Model to Alleviate Traffic Instability. CoRR (2021)
Lirui Wang, Yu Xiang, Dieter Fox
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans. CoRR (2021)
Caiyong Ye, Wenhao Li, Jiangtao Yang, Sheng Chang, Gang Zhi, Yu Xiang, Dongjie Zhu
Development and Analysis of a Novel Cascaded Brushless Self-Excited Air-Core Compensated Pulsed Alternator With Squirrel-Cage Rotor Winding. IEEE Trans. Ind. Electron. 68 (7) (2021)
Yu Xiang, Hang Liu, Tian Lan, H. Howie Huang, Suresh Subramaniam
Optimizing Job Reliability Through Contention-Free, Distributed Checkpoint Scheduling. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Xiangyun Meng, Yu Xiang, Dieter Fox
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation. CoRR (2021)
Zhang Liu, Hee Won Lee, Yu Xiang, Dirk Grunwald, Sangtae Ha
eMRC: Efficient Miss Ratio Approximation for Multi-Tier Caching. FAST (2021)
Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Chen
FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems. IEEE Trans. Cloud Comput. 9 (4) (2021)
Qing Gao, Yu Xiang, Jiabao Zhang, Ning Luo, Minfeng Liang, Lisha Gong, Jiali Yu, Qian Cui, Jorge Sepulcre, Huafu Chen
A reachable probability approach for the analysis of spatio-temporal dynamics in the human functional network. NeuroImage 243 (2021)
Austin Goddard, Yu Xiang
A Subsampling-Based Method for Causal Discovery on Discrete Data. SSP (2021)
Lisheng Huang, Jinye Ran, Wenyong Wang, Tan Yang, Yu Xiang
A multi-channel anomaly detection method with feature selection and multi-scale analysis. Comput. Networks 185 (2021)
Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CoRR (2021)
Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CVPR (2021)
Kang Du, Yu Xiang
Causal Inference Using Linear Time-Varying Filters with Additive Noise. ISIT (2021)
Chris Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks. CoRL (2021)
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox
Self-supervised 6D Object Pose Estimation for Robot Manipulation. ICRA (2020)
Liwei Hu, Jun Zhang, Yu Xiang, Wenyong Wang
Neural Networks-Based Aerodynamic Data Modeling: A Comprehensive Review. IEEE Access 8 (2020)
Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. CoRR (2020)
Kang Du, Yu Xiang
Causal Inference Using Linear Time-Varying Filters with Additive Noise. CoRR (2020)
Xinran Wang, Yu Xiang, Jun Gao, Jie Ding
Information Laundering for Model Privacy. CoRR (2020)
Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. CoRL (2020)
Lirui Wang, Yu Xiang, Dieter Fox
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds. CoRR (2020)
Lirui Wang, Yu Xiang, Dieter Fox
Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection. Robotics: Science and Systems (2020)
Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox
Scaling Local Control to Large-Scale Topological Navigation. ICRA (2020)
Liwei Hu, Yu Xiang, Jun Zhang, Zifang Shi, Wenzheng Wang
Aerodynamic Data Predictions Based on Multi-task Learning. CoRR (2020)
Yu Xiang, Jianmin Liu
Data Mining of Educational Service Quality of Professional Degree Masters Based on Improved Expectation Confirmation Model. SPIoT (2) (2020)
Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox
Unseen Object Instance Segmentation for Robotic Environments. CoRR (2020)
Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39 (10) (2020)
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox
DeepIM: Deep Iterative Matching for 6D Pose Estimation. Int. J. Comput. Vis. 128 (3) (2020)
Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. CVPR (2020)
Liwei Hu, Wenyong Wang, Yu Xiang, Jun Zhang
Flow Field Reconstructions with GANs based on Radial Basis Functions. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu Xiang