| 2025 | CSCWD | Rank Constraints of High-Order Cumulants for Learning Linear Non-Gaussian Latent Polytree. | Ruichu Cai, Ying Shen, Zhengming Chen, Feng Xie, Yu Xiang, Zhifeng Hao |
| 2025 | IROS | RobotFingerPrint: Unified Gripper Coordinate Space for Multi-Gripper Grasp Synthesis and Transfer. | Ninad Khargonkar, Luis Felipe Casas, Balakrishnan Prabhakaran, Yu Xiang |
| 2025 | IROS | Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. | Yangxiao Lu, Jishnu Jaykumar P, Yunhui Guo, Nicholas Ruozzi, Yu Xiang |
| 2025 | ISIT | Distributed Multiple Testing with False Discovery Rate Control in the Presence of Byzantines. | Daofu Zhang, Mehrdad Pournaderi, Yu Xiang, Pramod K. Varshney |
| 2024 | AAAI | Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. | Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | AISTATS | Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification. | Shivvrat Arya, Yu Xiang, Vibhav Gogate |
| 2024 | COLING | STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios. | Haoyu Xiong, Xinchun Zhang, Leixin Yang, Yu Xiang, Gang Fang |
| 2024 | CVPR | Segment Every Out-of-Distribution Object. | Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo |
| 2024 | ICRA | SceneReplica: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes. | Ninad Khargonkar, Sai Haneesh Allu, Yangxiao Lu, Jishnu Jaykumar P, Balakrishnan Prabhakaran, Yu Xiang |
| 2024 | ICRA | Mean Shift Mask Transformer for Unseen Object Instance Segmentation. | Yangxiao Lu, Yuqiao Chen, Nicholas Ruozzi, Yu Xiang |
| 2024 | ICRA | RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features. | Howard H. Qian, Yangxiao Lu, Kejia Ren, Gaotian Wang, Ninad Khargonkar, Yu Xiang, Kaiyu Hang |
| 2024 | IROS | MultiGripperGrasp: A Dataset for Robotic Grasping from Parallel Jaw Grippers to Dexterous Hands. | Luis Felipe Casas Murillo, Ninad Khargonkar, Balakrishnan Prabhakaran, Yu Xiang |
| 2024 | IROS | Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning. | Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang |
| 2024 | IROS | Grasping Trajectory Optimization with Point Clouds. | Yu Xiang, Sai Haneesh Allu, Rohith Peddi, Tyler H. Summers, Vibhav Gogate |
| 2024 | ISIT | Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification. | Austin Goddard, Kang Du, Yu Xiang |
| 2024 | PRICAI | A Novel Geometric-Encoded and Feature-Fused Model for Pressure Distribution Prediction on Airfoils. | Shiwei Fang, Yu Xiang, Jun Zhang, Wenyong Wang |
| 2024 | VR | Predictive Task Guidance with Artificial Intelligence in Augmented Reality. | Benjamin Rheault, Shivvrat Arya, Akshay Vyas, Jikai Wang, Rohith Peddi, Brett Benda, Vibhav Gogate, Nicholas Ruozzi, Yu Xiang, Eric D. Ragan |
| 2023 | ACSSC | Identifying Direct Causes Using Intervened Target Variable. | Kang Du, Yu Xiang, Ilya Soloveychik |
| 2023 | ACSSC | Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels. | Austin Goddard, Yu Xiang, Ilya Soloveychik |
| 2023 | ACSSC | Communication-Efficient Distribution-Free Inference Over Networks. | Mehrdad Pournaderi, Yu Xiang |
| 2023 | ICASSP | Generalized Invariant Matching Property Via Lasso. | Kang Du, Yu Xiang |
| 2023 | IJCAI | Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. | Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao |
| 2023 | ICRA | FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments. | Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang |
| 2023 | ICTAI | Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures. | Haoming Li, Yu Xiang, Haodong Xu, Wenyong Wang |
| 2023 | ISIT | Sample-and-Forward: Communication-Efficient Control of the False Discovery Rate in Networks. | Mehrdad Pournaderi, Yu Xiang |
| 2023 | MOBICOM | Chroma: Learning and Using Network Contexts to Reinforce Performance Improving Configurations. | Changhan Ge, Zihui Ge, Xuan Liu, Ajay Mahimkar, Yusef Shaqalle, Yu Xiang, Shomik Pathak |
| 2022 | CoRL | NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands. | Ninad Khargonkar, Neil Song, Zesheng Xu, B. Prabhakaran, Yu Xiang |
| 2022 | ECCV | Talisman: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information. | Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer |
| 2022 | ECCV | Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network. | Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang |
| 2022 | ICASSP | Causal Alignment Based Fault Root Causes Localization for Wireless Network. | Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai |
| 2022 | ICRA | HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers. | Yu-Wei Chao, Chris Paxton, Yu Xiang, Wei Yang, Balakumar Sundaralingam, Tao Chen, Adithyavairavan Murali, Maya Cakmak, Dieter Fox |
| 2022 | IMC | Aurora: conformity-based configuration recommendation to improve LTE/5G service. | Ajay Mahimkar, Zihui Ge, Xuan Liu, Yusef Shaqalle, Yu Xiang, Jennifer Yates, Shomik Pathak, Rick Reichel |
| 2022 | ISIT | Communication-Efficient Distributed Multiple Testing for Large-Scale Inference. | Mehrdad Pournaderi, Yu Xiang |
| 2022 | SIGCOMM | Empowering smart buildings with self-sensing concrete for structural health monitoring. | Zheng Gong, Lubing Han, Zhenlin An, Lei Yang, Siqi Ding, Yu Xiang |
| 2021 | CoRL | Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds. | Lirui Wang, Yu Xiang, Wei Yang, Arsalan Mousavian, Dieter Fox |
| 2021 | CoRL | RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks. | Chris Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox |
| 2021 | CVPR | DexYCB: A Benchmark for Capturing Hand Grasping of Objects. | Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox |
| 2021 | CVPR | RGB-D Local Implicit Function for Depth Completion of Transparent Objects. | Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox |
| 2021 | FAST | eMRC: Efficient Miss Ratio Approximation for Multi-Tier Caching. | Zhang Liu, Hee Won Lee, Yu Xiang, Dirk Grunwald, Sangtae Ha |
| 2021 | ICLR | Information Laundering for Model Privacy. | Xinran Wang, Yu Xiang, Jun Gao, Jie Ding |
| 2021 | ISIT | Causal Inference Using Linear Time-Varying Filters with Additive Noise. | Kang Du, Yu Xiang |
| 2020 | CoRL | Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation. | Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox |
| 2020 | CVPR | LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation. | Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox |
| 2020 | DCC | On the Robustness of Causal Discovery with Additive Noise Models on Discrete Data. | Kang Du, Austin Goddard, Yu Xiang |
| 2020 | ICRA | Self-supervised 6D Object Pose Estimation for Robot Manipulation. | Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox |
| 2020 | ICRA | Scaling Local Control to Large-Scale Topological Navigation. | Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox |
| 2019 | CoRL | The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. | Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox |
| 2019 | CVPR | Object Discovery in Videos as Foreground Motion Clustering. | Christopher Xie, Yu Xiang, Zad Harchaoui, Dieter Fox |
| 2019 | ICRA | Neural Autonomous Navigation with Riemannian Motion Policy. | Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox |
| 2019 | ISIT | Distributed False Discovery Rate Control with Quantization. | Yu Xiang |
| 2019 | Mobisys | Accelerating Applications in the Fast-moving Devices with Proactive Provisioning. | Hyunjong Lee, Hee Won Lee, Moo-Ryong Ra, Yu Xiang, Jason Flinn |
| 2018 | CCGRID | SuperCell: Adaptive Software-Defined Storage for Cloud Storage Workloads. | Keitaro Uehara, Yu Xiang, Yih-Farn Robin Chen, Matti A. Hiltunen, Kaustubh Joshi, Richard D. Schlichting |
| 2018 | CoRL | Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. | Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield |
| 2018 | ECCV | DeepIM: Deep Iterative Matching for 6D Pose Estimation. | Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox |
| 2018 | ICASSP | Evolutionary Spectra Based on the Multitaper Method with Application To Stationarity Test. | Yu Xiang, Jie Ding, Vahid Tarokh |
| 2018 | WACV | Recurrent Autoregressive Networks for Online Multi-object Tracking. | Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese |
| 2017 | ICNC | A multilevel information processing technique for risk decision making. | Yu Xiang, Li Ma |
| 2017 | ISIT | Pseudo-wigner matrices from dual BCH codes. | Ilya Soloveychik, Yu Xiang, Vahid Tarokh |
| 2017 | ITW | Explicit symmetric pseudo-random matrices. | Ilya Soloveychik, Yu Xiang, Vahid Tarokh |
| 2017 | WACV | Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection. | Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese |
| 2016 | ACCV | Anticipating Accidents in Dashcam Videos. | Fu-Hsiang Chan, Yu-Ting Chen, Yu Xiang, Min Sun |
| 2016 | CISIS | 3D Model Generation of Cattle by Shape-from-Silhouette Method for ICT Agriculture. | Yu Xiang, Shohei Nakamura, Hiroki Tamari, Shigeru Takano, Yoshihiro Okada |
| 2016 | CVPR | Deep Metric Learning via Lifted Structured Feature Embedding. | Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese |
| 2016 | ECCV | Pose Estimation Errors, the Ultimate Diagnosis. | Carolina Redondo-Cabrera, Roberto Javier Lpez-Sastre, Yu Xiang, Tinne Tuytelaars, Silvio Savarese |
| 2016 | ECCV | ObjectNet3D: A Large Scale Database for 3D Object Recognition. | Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher B. Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese |
| 2016 | ICDCS | Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. | Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang |
| 2015 | CCGRID | Taming Latency in Data Center Networking with Erasure Coded Files. | Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan |
| 2015 | CVPR | A coarse-to-fine model for 3D pose estimation and sub-category recognition. | Roozbeh Mottaghi, Yu Xiang, Silvio Savarese |
| 2015 | CVPR | Data-driven 3D Voxel Patterns for object category recognition. | Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese |
| 2015 | ICCV | Learning to Track: Online Multi-object Tracking by Decision Making. | Yu Xiang, Alexandre Alahi, Silvio Savarese |
| 2015 | ICDCS | Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services. | Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen |
| 2015 | IECON | Voltage dip state estimation in distribution networks by applying Bayesian inference. | Gu Ye, Yu Xiang, Vladimir Cuk, Joseph F. G. Cobben |
| 2014 | ECCV | Monocular Multiview Object Tracking with 3D Aspect Parts. | Yu Xiang, Changkyu Song, Roozbeh Mottaghi, Silvio Savarese |
| 2014 | ITW | A few meta-theorems in network information theory. | Yu Xiang, Young-Han Kim |
| 2014 | WACV | Beyond PASCAL: A benchmark for 3D object detection in the wild. | Yu Xiang, Roozbeh Mottaghi, Silvio Savarese |
| 2014 | SIGCOMM | Optimizing job reliability via contention-free, distributed scheduling of vm checkpointing. | Yu Xiang, Hang Liu, Tian Lan, H. Howie Huang, Suresh Subramaniam |
| 2014 | UIC | Entity Linking and Name Disambiguation in Chinese Micro-Blogs. | Li Li, Yunlong Guo, Yu Xiang, Xiao Xu, WeiGang Zeng |
| 2013 | ISIT | Interactive hypothesis testing against independence. | Yu Xiang, Young-Han Kim |
| 2012 | CVPR | Estimating the aspect layout of object categories. | Yu Xiang, Silvio Savarese |
| 2012 | ECCV | Object Co-detection. | Sid Ying-Ze Bao, Yu Xiang, Silvio Savarese |
| 2010 | CVPR | Semantic context modeling with maximal margin Conditional Random Fields for automatic image annotation. | Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-Seng Chua, Chong-Wah Ngo |
| 2010 | ISIT | On the AWGN channel with noisy feedback and peak energy constraint. | Yu Xiang, Young-Han Kim |
| 2009 | CVPR | A revisit of Generative Model for Automatic Image Annotation using Markov Random Fields. | Yu Xiang, Xiangdong Zhou, Tat-Seng Chua, Chong-Wah Ngo |
| 2009 | ISADS | Priority-based low-power task scheduling for wireless sensor network. | Yu Xiang, Xiaosong Xin, Wenyong Wang |
| 2005 | KES | An Intelligent Approach of Packet Marking at Edge Router for IP Traceback. | Dae Sun Kim, Choong Seon Hong, Yu Xiang |