CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering. - Yunhui Guo; Xin Wang 060; Congfu Xu (ICDM Workshops, 2015)

Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue. - Xin Wang 060; Yunhui Guo; Congfu Xu (IJCAI, 2015)

Constrained Preference Embedding for Item Recommendation. - Xin Wang 060; Congfu Xu; Yunhui Guo; Hui Qian 001 (IJCAI, 2016)

LBMF: Log-Bilinear Matrix Factorization for Recommender Systems. - Yunhui Guo; Xin Wang 060; Congfu Xu (PAKDD (1), 2016)

Collaborative Expert Recommendation for Community-Based Question Answering. - Congfu Xu; Xin Wang 060; Yunhui Guo (ECML/PKDD (1), 2016)

Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation. - Hanzhang Song; Yunhui Guo; Congfu Xu (AAAI Workshops, 2017)

Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization. - Yunhui Guo; Congfu Xu; Hanzhang Song; Xin Wang 060 (IJCAI, 2017)

A Survey on Methods and Theories of Quantized Neural Networks. - Yunhui Guo (CoRR, 2018)

Depthwise Convolution Is All You Need for Learning Multiple Visual Domains. - Yunhui Guo; Yandong Li; Liqiang Wang 001; Tajana Rosing (AAAI, 2019)

SpotTune: Transfer Learning Through Adaptive Fine-Tuning. - Yunhui Guo; Honghui Shi; Abhishek Kumar 001; Kristen Grauman; Tajana Rosing; Rogério Schmidt Feris (CVPR, 2019)

Hierarchical and Distributed Machine Learning Inference Beyond the Edge. - Anthony Thomas; Yunhui Guo; Yeseong Kim; Baris Aksanli; Arun Kumar; Tajana Simunic Rosing (ICNSC, 2019)

Efficient Sparse Processing in Smart Home Applications. - Rishikanth Chandrasekaran; Yunhui Guo; Anthony Thomas; Massimiliano Menarini; Michael H. Ostertag; Yeseong Kim; Tajana Rosing (SenSys-ML, 2019)

Depthwise Convolution is All You Need for Learning Multiple Visual Domains. - Yunhui Guo; Yandong Li; Rogério Schmidt Feris; Liqiang Wang 001; Tajana Rosing (CoRR, 2019)

Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient. - Yunhui Guo; Mingrui Liu; Tianbao Yang; Tajana Rosing (CoRR, 2019)

A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. - Yunhui Guo; Noel C. F. Codella; Leonid Karlinsky; John R. Smith; Tajana Rosing; Rogério Schmidt Feris (CoRR, 2019)

AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning. - Yunhui Guo; Yandong Li; Liqiang Wang 001; Tajana Rosing (AAAI, 2020)

A Broader Study of Cross-Domain Few-Shot Learning. - Yunhui Guo; Noel Codella; Leonid Karlinsky; James V. Codella; John R. Smith; Kate Saenko; Tajana Rosing; Rogério Feris (ECCV (27), 2020)

Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling. - Yunhui Guo; Xiaofan Yu 001; Kamalika Chaudhuri; Tajana Rosing (MSN, 2020)

Improved Schemes for Episodic Memory-based Lifelong Learning. - Yunhui Guo; Mingrui Liu; Tianbao Yang; Tajana Rosing (NeurIPS, 2020)

Efficient Learning across Multiple Domains with Deep Neural Networks. - Yunhui Guo (2020)

HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. - Yunhui Guo; Mohsen Imani; Jaeyoung Kang 001; Sahand Salamat; Justin Morris; Baris Aksanli; Yeseong Kim; Tajana Rosing (ASP-DAC, 2021)

Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. - Zhihang Ren; Yunhui Guo; Stella X. Yu; David Whitney (CHASE, 2021)

MAT: Processing In-Memory Acceleration for Long-Sequence Attention. - Minxuan Zhou; Yunhui Guo; Weihong Xu; Bin Li 064; Kevin W. Eliceiri; Tajana Rosing (DAC, 2021)

Free Hyperbolic Neural Networks with Limited Radii. - Yunhui Guo; Xudong Wang 007; Yubei Chen; Stella X. Yu (CoRR, 2021)

CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. - Yunhui Guo; Haoran Guo; Stella X. Yu (CVPR, 2022)

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. - Yunhui Guo; Xudong Wang 007; Yubei Chen; Stella X. Yu (CVPR, 2022)

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. - Tsung-Wei Ke; Jyh-Jing Hwang; Yunhui Guo; Xudong Wang 007; Stella X. Yu (CVPR, 2022)

Capacity Analysis and Optimal Spacing Design for Compact Array Massive MIMO Systems With Finite Aperture. - Lihua Pang; Minglei Wang; Yang Zhang 013; Yunhui Guo; Yijian Chen; Anyi Wang (IEEE Commun. Lett., 2022)

AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images. - Yunhui Guo; Chaofeng Wang; Stella X. Yu; Frank McKenna; Kincho H. Law (J. Comput. Civ. Eng., 2022)

Energy Efficiency Optimization for Compact Massive MIMO Wireless Systems. - Yang Zhang 013; Jie Tang; Lihua Pang; Yunhui Guo; Yijian Chen; Jiandong Li 001 (IEEE Trans. Veh. Technol., 2022)

SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. - Xiaofan Yu 001; Yunhui Guo; Sicun Gao; Tajana Rosing (CVPR Workshops, 2023)

Audio-Visual Class-Incremental Learning. - Weiguo Pian; Shentong Mo; Yunhui Guo; Yapeng Tian (ICCV, 2023)

Antenna Topology Optimization for Massive MIMO Near-Field Wireless Communications with Line-of-Sight Deterministic Channels. - Yunhui Guo; Yang Zhang 013; Lihua Pang; Xinyi Huang; Peng Ren; Yijian Chen (PIMRC, 2023)

Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction. - Yangxiao Lu; Ninad A. Khargonkar; Zesheng Xu; Charles Averill; Kamalesh Palanisamy; Kaiyu Hang; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (Robotics: Science and Systems, 2023)

AUC Maximization in Imbalanced Lifelong Learning. - Xiangyu Zhu; Jie Hao; Yunhui Guo; Mingrui Liu (UAI, 2023)

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. - Haoliang Wang; Chen Zhao 010; Yunhui Guo; Kai Jiang; Feng Chen 001 (CoRR, 2023)

Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition. - Dong-Jin Kim 003; Zhongqi Miao; Yunhui Guo; Stella X. Yu (IEEE Signal Process. Lett., 2023)

Optimizing Antenna Topology for Massive MIMO Planar Arrays With Line-of-Sight Deterministic Channels. - Yunhui Guo; Yang Zhang 013; Lihua Pang; Xinyi Huang; Yuchen Wu; Yijian Chen (IEEE Trans. Veh. Technol., 2023)

Continual Learning in an Open and Dynamic World. - Yunhui Guo (AAAI, 2024)

Inconsistency-Based Data-Centric Active Open-Set Annotation. - Ruiyu Mao; Ouyang Xu; Yunhui Guo (AAAI, 2024)

Research on 3D Cloud Modeling based on the Combination of Meteorological Data and Multiple Noises. - He Ren; Xiaoxi He; Liang Hu; Yunhui Guo; Jinwei Chen; Min Wang (CIPAE, 2024)

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. - Yunhui Guo; Youren Zhang; Yubei Chen; Stella X. Yu (CVPR, 2024)

Segment Every Out-of-Distribution Object. - Wenjie Zhao; Jia Li; Xin Dong; Yu Xiang 001; Yunhui Guo (CVPR, 2024)

Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-view Data. - Yuxuan Li; Sarthak Kumar Maharana; Yunhui Guo (ECCV (65), 2024)

Energy-Efficient Near-Field Wideband Beamforming with Circular Arrays. - Yunhui Guo; Yang Zhang 013; Zhaolin Wang; Yuanwei Liu; Zhiguo Ding 001 (GLOBECOM, 2024)

SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). - Zhihang Ren; Yunqi Li; Xinyu Li; Xinrong Xie; Erik P. Duhaime; Kathy Fang; Tapabrata Chakraborti; Yunhui Guo; Stella X. Yu; David Whitney (MICCAI (1), 2024)

STONE: A Submodular Optimization Framework for Active 3D Object Detection. - Ruiyu Mao; Sarthak Kumar Maharana; Rishabh K. Iyer; Yunhui Guo (NeurIPS, 2024)

Continual Audio-Visual Sound Separation. - Weiguo Pian; Yiyang Nan; Shijian Deng; Shentong Mo; Yunhui Guo; Yapeng Tian (NeurIPS, 2024)

Non-Uniform 3D Massive MIMO Arrays Topology Optimization for Near-Field Communications. - Yunhui Guo; Yang Zhang 013; Lihua Pang; Yuanwei Liu; Zhiguo Ding 001 (PIMRC, 2024)

VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. - Zhihang Ren; Jefferson Ortega; Yifan Wang; Zhimin Chen; Yunhui Guo; Stella X. Yu; David Whitney (WACV, 2024)

Evolve: Enhancing Unsupervised Continual Learning with Multiple Experts. - Xiaofan Yu 001; Tajana Rosing; Yunhui Guo (WACV, 2024)

KITE: A Kernel-based Improved Transferability Estimation Method. - Yunhui Guo (CoRR, 2024)

Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation. - Yangxiao Lu; Jishnu Jaykumar P; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (CoRR, 2024)

Continual Distillation Learning. - Qifan Zhang; Yunhui Guo; Yu Xiang 001 (CoRR, 2024)

GradAlign for Training-free Model Performance Inference. - Yuxuan Li; Yunhui Guo (CoRR, 2024)

Enhancing Robustness of CLIP to Common Corruptions through Bimodal Test-Time Adaptation. - Sarthak Kumar Maharana; Baoming Zhang; Leonid Karlinsky; Rogério Feris; Yunhui Guo (CoRR, 2024)

Modality-Inconsistent Continual Learning of Multimodal Large Language Models. - Weiguo Pian; Shijian Deng; Shentong Mo; Yunhui Guo; Yapeng Tian (CoRR, 2024)

Wideband Beamforming for Near-Field Communications With Circular Arrays. - Yunhui Guo; Yang Zhang 013; Zhaolin Wang; Yuanwei Liu (IEEE Trans. Wirel. Commun., 2024)

PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation. - Sarthak Kumar Maharana; Baoming Zhang; Yunhui Guo (AAAI, 2025)

H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection. - Yuhang Liu; Wenjie Zhao; Yunhui Guo (CVPR, 2025)

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? - Jia Li; Wenjie Zhao; Ziru Huang; Yunhui Guo; Yapeng Tian (CoRR, 2025)

WonderHuman: Hallucinating Unseen Parts in Dynamic 3D Human Reconstruction. - Zilong Wang; Zhiyang Dou; Yuan Liu 025; Cheng Lin 001; Xiao Dong; Yunhui Guo; Chenxu Zhang; Xin Li 003; Wenping Wang 001; Xiaohu Guo (CoRR, 2025)

Multimodal Reference Visual Grounding. - Yangxiao Lu; Ruosen Li; Liqiang Jing; Jikai Wang; Xinya Du; Yunhui Guo; Nicholas Ruozzi; Yu Xiang 001 (CoRR, 2025)

SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation. - Ruiyu Mao; Sarthak Kumar Maharana; Xulong Tang; Yunhui Guo (CoRR, 2025)

AVROBUSTBENCH: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time. - Sarthak Kumar Maharana; Saksham Singh Kushwaha; Baoming Zhang; Adrian Rodriguez; Songtao Wei; Yapeng Tian; Yunhui Guo (CoRR, 2025)

Can Video Large Multimodal Models Think Like Doubters-or Double-Down: A Study on Defeasible Video Entailment. - Yue Zhang; Jilei Sun; Yunhui Guo; Vibhav Gogate (CoRR, 2025)

SafeFix: Targeted Model Repair via Controlled Image Generation. - Ouyang Xu; Baoming Zhang; Ruiyu Mao; Yunhui Guo (CoRR, 2025)

From Pixel to Mask: A Survey of Out-of-Distribution Segmentation. - Wenjie Zhao; Jia Li; Yunhui Guo (CoRR, 2025)

Impact of Array Orientations on Degrees of Freedom for Continuous Aperture Arrays (CAPA). - Yunhui Guo; Yang Zhang 013; Zhaolin Wang; Minghao Shang; Yijian Chen; Yuanwei Liu (IEEE Wirel. Commun. Lett., 2025)