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2020 – today
- 2024
[j17]Huanqing Zhang, Jun Xie
, Yi Xiao, Guiling Cui, Xinyu Zhu, Guanghua Xu, Qing Tao, Yuzhe Yang, Zhiyuan Ren, Min Li:
The effects of synchronous and asynchronous steady-state auditory-visual motion on EEG characteristics in healthy young adults. Expert Syst. Appl. 241: 122640 (2024)- [j16]Chi Li, Xixian Qi, Yuzhe Yang, Zhuo Zeng, Lianmin Zhang, Jianfeng Mao:
FAST-CA: Fusion-based Adaptive Spatial-Temporal Learning with Coupled Attention for airport network delay propagation prediction. Inf. Fusion 107: 102326 (2024) - [j15]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97: 103224 (2024) - [j14]Tong Zhu, Leida Li, Pengfei Chen, Jinjian Wu, Yuzhe Yang, Yaqian Li:
Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment. Pattern Recognit. 154: 110584 (2024) - [j13]Zhichao Yang, Leida Li, Yuzhe Yang, Yaqian Li, Weisi Lin:
Multi-Level Transitional Contrast Learning for Personalized Image Aesthetics Assessment. IEEE Trans. Multim. 26: 1944-1956 (2024) - [j12]Yipo Huang, Leida Li, Pengfei Chen, Jinjian Wu, Yuzhe Yang, Yaqian Li, Guangming Shi:
Coarse-to-Fine Image Aesthetics Assessment With Dynamic Attribute Selection. IEEE Trans. Multim. 26: 9316-9329 (2024) - [c32]Jinjin Xu, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang, Yaqian Li:
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model. ECAI 2024: 618-625 - [c31]Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel:
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. WACV 2024: 7899-7909 - [i31]Yipo Huang, Quan Yuan, Xiangfei Sheng, Zhichao Yang, Haoning Wu, Pengfei Chen, Yuzhe Yang, Leida Li, Weisi Lin:
AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception. CoRR abs/2401.08276 (2024) - [i30]Yuzhe Yang, Yujia Liu, Xin Liu, Avanti Gulhane, Domenico Mastrodicasa, Wei Wu, Edward Jay Wang, Dushyant W. Sahani, Shwetak N. Patel:
Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging. CoRR abs/2402.14815 (2024) - [i29]Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i28]Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel S. Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou:
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. CoRR abs/2408.11878 (2024) - [i27]Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff:
Scaling Wearable Foundation Models. CoRR abs/2410.13638 (2024) - [i26]Yuzhe Yang, Yifei Zhang, Yan Hu, Yilin Guo, Ruoli Gan, Yueru He, Mingcong Lei, Xiao Zhang, Haining Wang, Qianqian Xie, Jimin Huang, Honghai Yu, Benyou Wang:
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models. CoRR abs/2410.14059 (2024) - [i25]Yuzhe Yang, Yipeng Du, Ahmad Farhan, Claudio Angione, Yue Zhao, Harry Yang, Fielding Johnston, James Buban, Patrick Colangelo:
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments. CoRR abs/2410.21340 (2024) - 2023
- [j11]Leida Li, Tianwu Zhi, Guangming Shi, Yuzhe Yang, Liwu Xu, Yaqian Li, Yandong Guo:
Anchor-based knowledge embedding for image aesthetics assessment. Neurocomputing 539: 126197 (2023) - [j10]Leida Li, Yipo Huang, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo, Guangming Shi:
Theme-Aware Visual Attribute Reasoning for Image Aesthetics Assessment. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4798-4811 (2023) - [j9]Leida Li, Tong Zhu, Pengfei Chen, Yuzhe Yang, Yaqian Li, Weisi Lin:
Image Aesthetics Assessment With Attribute-Assisted Multimodal Memory Network. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7413-7424 (2023) - [j8]Yipo Huang, Leida Li, Yuzhe Yang, Yaqian Li, Yandong Guo:
Explainable and Generalizable Blind Image Quality Assessment via Semantic Attribute Reasoning. IEEE Trans. Multim. 25: 7672-7685 (2023) - [j7]Tianshu Song, Leida Li, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo, Guangming Shi:
Knowledge-Guided Blind Image Quality Assessment With Few Training Samples. IEEE Trans. Multim. 25: 8145-8156 (2023) - [c30]Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo:
Mixed Sample Augmentation for Online Distillation. ICASSP 2023: 1-5 - [c29]Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff:
SimPer: Simple Self-Supervised Learning of Periodic Targets. ICLR 2023 - [c28]Tong Zhu, Leida Li, Pengfei Chen, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo:
Attribute-assisted Multimodal Network for Image Aesthetics Assessment. ICME 2023: 2477-2482 - [c27]Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi:
Change is Hard: A Closer Look at Subpopulation Shift. ICML 2023: 39584-39622 - [c26]Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen:
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS 2023: 1-12 - [c25]Xiangfei Sheng, Leida Li, Pengfei Chen, Jinjian Wu, Weisheng Dong, Yuzhe Yang, Liwu Xu, Yaqian Li, Guangming Shi:
AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. ACM Multimedia 2023: 1117-1126 - [c24]Kaiwen Zha, Peng Cao, Jeany Son, Yuzhe Yang, Dina Katabi:
Rank-N-Contrast: Learning Continuous Representations for Regression. NeurIPS 2023 - [c23]Xiangfei Sheng, Leida Li, Pengfei Chen, Jinjian Wu, Liwu Xu, Yuzhe Yang, Yaqian Li:
Technical Quality-Assisted Image Aesthetics Quality Assessment. PRCV (11) 2023: 50-62 - [i24]Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi:
Change is Hard: A Closer Look at Subpopulation Shift. CoRR abs/2302.12254 (2023) - [i23]Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel:
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. CoRR abs/2303.11573 (2023) - [i22]Liwu Xu, Jinjin Xu, Yuzhe Yang, Yijie Huang, Yanchun Xie, Yaqian Li:
CLIP Brings Better Features to Visual Aesthetics Learners. CoRR abs/2307.15640 (2023) - [i21]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - [i20]Jinjin Xu, Liwu Xu, Yuzhe Yang, Xiang Li, Yanchun Xie, Yi-Jie Huang, Yaqian Li:
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model. CoRR abs/2311.05348 (2023) - [i19]Yuxuan Ou, Yuzhe Zhang, Yuntang Wang, Shwetak N. Patel, Daniel McDuff, Yuzhe Yang, Xin Liu:
Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data. CoRR abs/2311.05371 (2023) - [i18]Yuzhe Yang, Haoran Zhang, Judy W. Gichoya, Dina Katabi, Marzyeh Ghassemi:
The Limits of Fair Medical Imaging AI In The Wild. CoRR abs/2312.10083 (2023) - 2022
- [j6]Hancheng Zhu, Yong Zhou, Rui Yao, Guangcheng Wang, Yuzhe Yang:
Learning image aesthetic subjectivity from attribute-aware relational reasoning network. Pattern Recognit. Lett. 155: 84-91 (2022) - [j5]Bo Hu, Shuaijian Wang, Leida Li, Jiaxu Leng, Yuzhe Yang, Xinbo Gao:
Hierarchical discrepancy learning for image restoration quality assessment. Signal Process. 198: 108595 (2022) - [c22]Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CVPR 2022: 6908-6918 - [c21]Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo:
Self-Distillation from the Last Mini-Batch for Consistency Regularization. CVPR 2022: 11933-11942 - [c20]Yuzhe Yang, Liwu Xu, Leida Li, Nan Qie, Yaqian Li, Peng Zhang, Yandong Guo:
Personalized Image Aesthetics Assessment with Rich Attributes. CVPR 2022: 19829-19837 - [c19]Yuzhe Yang, Hao Wang, Dina Katabi:
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond. ECCV (20) 2022: 57-75 - [c18]Leida Li, Jiachen Duan, Yuzhe Yang, Liwu Xu, Yaqian Li, Yandong Guo:
Psychology Inspired Model for Hierarchical Image Aesthetic Attribute Prediction. ICME 2022: 1-6 - [c17]Yaohui Li, Yuzhe Yang, Huaxiong Li, Haoxing Chen, Liwu Xu, Leida Li, Yaqian Li, Yandong Guo:
Transductive Aesthetic Preference Propagation for Personalized Image Aesthetics Assessment. ACM Multimedia 2022: 896-904 - [c16]Yuzhe Yang, Jun Xie, Yi Xiao, Zhiyuan Ren, Huanqing Zhang, Xianzi Xiao, Yuanzhe Dong, Xi Tang, Guanglin Li, Peng Fang:
Performance Evaluation of Head-Mounted Display based Brain-Computer Interface for Virtual Robotic Arm Operation. ROBIO 2022: 1041-1046 - [c15]Huanqing Zhang, Jun Xie, Yi Xiao, Yuzhe Yang, Zhiyuan Ren, Ruiwen Zhang, Yuanzhe Dong, Xi Tang, Guanglin Li, Peng Fang:
A Novel Gesture Recognition Technique based on sEMG Armband and Leap Motion Controller. ROBIO 2022: 1610-1614 - [i17]Hao He, Yuzhe Yang, Hao Wang:
Domain Adaptation with Factorizable Joint Shift. CoRR abs/2203.02902 (2022) - [i16]Yuzhe Yang, Hao Wang, Dina Katabi:
On Multi-Domain Long-Tailed Recognition, Generalization and Beyond. CoRR abs/2203.09513 (2022) - [i15]Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo:
Self-Distillation from the Last Mini-Batch for Consistency Regularization. CoRR abs/2203.16172 (2022) - [i14]Yuzhe Yang, Liwu Xu, Leida Li, Nan Qie, Yaqian Li, Peng Zhang, Yandong Guo:
Personalized Image Aesthetics Assessment with Rich Attributes. CoRR abs/2203.16754 (2022) - [i13]Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo:
Online Distillation with Mixed Sample Augmentation. CoRR abs/2206.12370 (2022) - [i12]Kaiwen Zha, Peng Cao, Yuzhe Yang, Dina Katabi:
Supervised Contrastive Regression. CoRR abs/2210.01189 (2022) - [i11]Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff:
SimPer: Simple Self-Supervised Learning of Periodic Targets. CoRR abs/2210.03115 (2022) - 2021
- [c14]Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi:
Delving into Deep Imbalanced Regression. ICML 2021: 11842-11851 - [c13]Snigdhaswin Kar, Prabodh Mishra, Ju Lin, Min-Jae Woo, Nicholas Deas, Caleb Linduff, Sufeng Niu, Yuzhe Yang, Jerome McClendon, D. Hudson Smith, Melissa C. Smith, Ronald W. Gimbel, Kuang-Ching Wang:
Systematic Evaluation and Enhancement of Speech Recognition in Operational Medical Environments. IJCNN 2021: 1-8 - [c12]Joseph Clements, Yuzhe Yang, Ankur A Sharma, Hongxin Hu, Yingjie Lao:
Rallying Adversarial Techniques against Deep Learning for Network Security. SSCI 2021: 1-8 - [i10]Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi:
Delving into Deep Imbalanced Regression. CoRR abs/2102.09554 (2021) - [i9]Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi:
Targeted Supervised Contrastive Learning for Long-Tailed Recognition. CoRR abs/2111.13998 (2021) - 2020
- [j4]Shichao Yue, Yuzhe Yang, Hao Wang, Hariharan Rahul, Dina Katabi:
BodyCompass: Monitoring Sleep Posture with Wireless Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 66:1-66:25 (2020) - [j3]Leida Li, Yu Zhou, Ke Gu, Yuzhe Yang, Yuming Fang:
Blind Realistic Blur Assessment Based on Discrepancy Learning. IEEE Trans. Circuits Syst. Video Technol. 30(11): 3859-3869 (2020) - [c11]Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin:
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. CVPR 2020: 628-637 - [c10]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
Harnessing Structures for Value-Based Planning and Reinforcement Learning. ICLR 2020 - [c9]Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang:
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation. NeurIPS 2020 - [c8]Yuzhe Yang, Zhi Xu:
Rethinking the Value of Labels for Improving Class-Imbalanced Learning. NeurIPS 2020 - [i8]Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang:
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation. CoRR abs/2006.06135 (2020) - [i7]Yuzhe Yang, Zhi Xu:
Rethinking the Value of Labels for Improving Class-Imbalanced Learning. CoRR abs/2006.07529 (2020)
2010 – 2019
- 2019
- [j2]Zhiwen Hu, Zixuan Bai, Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song:
UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies, and Implementation. IEEE Netw. 33(2): 14-22 (2019) - [c7]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. ICML 2019: 7025-7034 - [c6]Yuzhe Yang, Zhiwen Hu, Kaigui Bian, Lingyang Song:
ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. INFOCOM 2019: 1207-1215 - [c5]Leida Li, Yuzhe Yang, Hancheng Zhu:
Naturalness Preserved Image Aesthetic Enhancement with Perceptual Encoder Constraint. ICMR 2019: 364-372 - [i6]Joseph Clements, Yuzhe Yang, Ankur A Sharma, Hongxin Hu, Yingjie Lao:
Rallying Adversarial Techniques against Deep Learning for Network Security. CoRR abs/1903.11688 (2019) - [i5]Yuzhe Yang, Zhiwen Hu, Kaigui Bian, Lingyang Song:
ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. CoRR abs/1905.11299 (2019) - [i4]Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu:
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. CoRR abs/1905.11971 (2019) - [i3]Yuzhe Yang, Guo Zhang, Zhi Xu, Dina Katabi:
Harnessing Structures for Value-Based Planning and Reinforcement Learning. CoRR abs/1909.12255 (2019) - [i2]Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu:
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks. CoRR abs/1911.10695 (2019) - 2018
- [j1]Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song, Zhu Han:
Real-Time Profiling of Fine-Grained Air Quality Index Distribution Using UAV Sensing. IEEE Internet Things J. 5(1): 186-198 (2018) - [c4]Pengyu Zhao, Yuzhe Yang, Yuanxing Zhang, Kaigui Bian, Lingyang Song, Pengpeng Qiao, Zhetao Li:
Optimal Trajectory Planning of Drones for 3D Mobile Sensing. GLOBECOM 2018: 1-6 - [c3]Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song, Zhu Han:
Sensor Deployment Recommendation for 3D Fine-Grained Air Quality Monitoring Using Semi-Supervised Learning. ICC 2018: 1-6 - [c2]Yuzhe Yang, Zixuan Bai, Zhiwen Hu, Zijie Zheng, Kaigui Bian, Lingyang Song:
AQNet: Fine-grained 3D spatio-temporal air quality monitoring by aerial-ground WSN. INFOCOM Workshops 2018: 1-2 - [i1]Zhiwen Hu, Zixuan Bai, Yuzhe Yang, Zijie Zheng, Kaigui Bian, Lingyang Song:
UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies and Implementation. CoRR abs/1809.03746 (2018) - 2017
- [c1]Yuzhe Yang, Zijie Zheng, Kaigui Bian, Yun Jiang, Lingyang Song, Zhu Han:
Arms: A Fine-Grained 3D AQI Realtime Monitoring System by UAV. GLOBECOM 2017: 1-6
Coauthor Index
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