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Yifan Zhang 0004
Person information
- affiliation: National University of Singapore
- affiliation (former): South China University of Technology, Guangzhou, China
Other persons with the same name
- Yifan Zhang (aka: Yi-Fan Zhang) — disambiguation page
- Yifan Zhang 0001 — Chinese Academy of Sciences, Beijing, China
- Yifan Zhang 0002 — Binghamton University, NY, USA
- Yifan Zhang 0003 — Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications
- Yifan Zhang 0005 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Yifan Zhang 0006 — Northwestern Polytechnical University, Shaanxi Key Laboratory of Information Acquisition and Processing, Xi'an, China
- Yifan Zhang 0007 — Arizona State University, Tempe, USA
- Yifan Zhang 0009 — China University of Geosciences, School of Geography and Information Engineering, Wuhan, China
- Yifan Zhang 0010 — Indiana University Bloomington, Bloomington, IN, USA
- Yifan Zhang 0011 — University of Science and Technology of China, CAS Key Laboratory of GIPAS, Hefei, China
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2020 – today
- 2024
- [j14]Huanyu Zhang, Yifan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang:
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. IEEE Trans. Knowl. Data Eng. 36(12): 8718-8729 (2024) - [j13]Andong Lu, Zhang Zhang, Yan Huang, Yifan Zhang, Chenglong Li, Jin Tang, Liang Wang:
Illumination Distillation Framework for Nighttime Person Re-Identification and a New Benchmark. IEEE Trans. Multim. 26: 406-419 (2024) - [c32]Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li:
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection. ECCV (44) 2024: 96-114 - [c31]Gang Dai, Yifan Zhang, Quhui Ke, Qiangya Guo, Shuangping Huang:
One-DM: One-Shot Diffusion Mimicker for Handwritten Text Generation. ECCV (58) 2024: 410-427 - [c30]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML 2024 - [c29]Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui:
From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation? ACM Multimedia 2024: 10085-10094 - [c28]Yifan Zhang, Hanlin Zhang, Li Li, Eric P. Xing:
Evaluating Step-by-Step Reasoning through Symbolic Verification. NAACL-HLT (Findings) 2024: 2984-3002 - [c27]Hanlin Zhang, Yifan Zhang, Yaodong Yu, Dhruv Madeka, Dean P. Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade:
A Study on the Calibration of In-context Learning. NAACL-HLT 2024: 6118-6136 - [i57]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR abs/2402.02713 (2024) - [i56]Yifan Zhang, Weichen Yu, Qingsong Wen, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Debiasing Multimodal Large Language Models. CoRR abs/2403.05262 (2024) - [i55]Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu:
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR abs/2403.11491 (2024) - [i54]Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin:
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR abs/2403.14949 (2024) - [i53]Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li:
Fully Test-Time Adaptation for Monocular 3D Object Detection. CoRR abs/2405.19682 (2024) - [i52]Yifan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin:
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR abs/2406.08487 (2024) - [i51]Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR abs/2408.13257 (2024) - [i50]Gang Dai, Yifan Zhang, Quhui Ke, Qiangya Guo, Shuangping Huang:
One-Shot Diffusion Mimicker for Handwritten Text Generation. CoRR abs/2409.04004 (2024) - [i49]Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen:
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. CoRR abs/2409.09403 (2024) - [i48]Huanyu Zhang, Yifan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang:
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. CoRR abs/2409.12169 (2024) - [i47]Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen:
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR abs/2410.04509 (2024) - [i46]Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan:
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting. CoRR abs/2410.08190 (2024) - [i45]Xinjie Zhang, Zhening Liu, Yifan Zhang, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Zehong Lin, Shuicheng Yan, Jun Zhang:
MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes. CoRR abs/2410.13613 (2024) - 2023
- [j12]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10795-10816 (2023) - [j11]Yifan Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan:
Learning Domain Invariant Representations for Generalizable Person Re-Identification. IEEE Trans. Image Process. 32: 509-523 (2023) - [j10]Yifan Zhang, Hanlin Zhang, Zachary Chase Lipton, Li Erran Li, Eric P. Xing:
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation. Trans. Mach. Learn. Res. 2023 (2023) - [c26]Gang Dai, Yifan Zhang, Qingfeng Wang, Qing Du, Zhuliang Yu, Zhuoman Liu, Shuangping Huang:
Disentangling Writer and Character Styles for Handwriting Generation. CVPR 2023: 5977-5986 - [c25]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. ICCV 2023: 17159-17170 - [c24]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE 2023: 3771-3772 - [c23]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan:
Towards Stable Test-time Adaptation in Dynamic Wild World. ICLR 2023 - [c22]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR 2023 - [c21]Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. ICML 2023: 41647-41676 - [c20]Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421 - [c19]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS 2023 - [c18]Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng:
Expanding Small-Scale Datasets with Guided Imagination. NeurIPS 2023 - [i44]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR abs/2302.00194 (2023) - [i43]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan:
Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR abs/2302.12400 (2023) - [i42]Gang Dai, Yifan Zhang, Qingfeng Wang, Qing Du, Zhuliang Yu, Zhuoman Liu, Shuangping Huang:
Disentangling Writer and Character Styles for Handwriting Generation. CoRR abs/2303.14736 (2023) - [i41]Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. CoRR abs/2304.12566 (2023) - [i40]Chang'an Yi, Haotian Chen, Yonghui Xu, Yifan Zhang:
Model-Contrastive Federated Domain Adaptation. CoRR abs/2305.10432 (2023) - [i39]Hongbin Lin, Mingkui Tan, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Dong Liu, Qing Du, Yanxia Liu:
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment. CoRR abs/2305.12649 (2023) - [i38]Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng:
Dataset Quantization. CoRR abs/2308.10524 (2023) - [i37]Andong Lu, Zhang Zhang, Yan Huang, Yifan Zhang, Chenglong Li, Jin Tang, Liang Wang:
Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark. CoRR abs/2308.16486 (2023) - [i36]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR abs/2309.12659 (2023) - [i35]Yao Lu, Xuguang Chen, Yuchen Zhang, Jianyang Gu, Tianle Zhang, Yifan Zhang, Xiaoniu Yang, Qi Xuan, Kai Wang, Yang You:
Can pre-trained models assist in dataset distillation? CoRR abs/2310.03295 (2023) - [i34]Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui:
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation. CoRR abs/2310.05341 (2023) - [i33]Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Model-free Test Time Adaptation for Out-Of-Distribution Detection. CoRR abs/2311.16420 (2023) - [i32]Yifan Zhang, Bryan Hooi:
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation. CoRR abs/2311.18158 (2023) - [i31]Hanlin Zhang, Yifan Zhang, Yaodong Yu, Dhruv Madeka, Dean P. Foster, Eric P. Xing, Himabindu Lakkaraju, Sham M. Kakade:
A Study on the Calibration of In-context Learning. CoRR abs/2312.04021 (2023) - [i30]Yifan Zhang, Zhang Zhang, Liang Wang, Tieniu Tan, Rong Jin:
Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors. CoRR abs/2312.12918 (2023) - 2022
- [j9]Yifan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan:
Focal and efficient IOU loss for accurate bounding box regression. Neurocomputing 506: 146-157 (2022) - [j8]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 34(1): 236-248 (2022) - [c17]Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li:
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. BMVC 2022: 872 - [c16]Hanlin Zhang, Yifan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing:
Towards Principled Disentanglement for Domain Generalization. CVPR 2022: 8014-8024 - [c15]Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. ECCV (33) 2022: 351-368 - [c14]Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng:
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 - [c13]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. ICML 2022: 16888-16905 - [c12]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition. NeurIPS 2022 - [c11]Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan:
Multi-scale Multi-target Domain Adaptation for Angle Closure Classification. PRCV (2) 2022: 77-88 - [i29]Yifan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, Eric P. Xing:
Can Transformers be Strong Treatment Effect Estimators? CoRR abs/2202.01336 (2022) - [i28]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan:
Boost Test-Time Performance with Closed-Loop Inference. CoRR abs/2203.10853 (2022) - [i27]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. CoRR abs/2204.02610 (2022) - [i26]Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. CoRR abs/2207.10856 (2022) - [i25]Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao:
Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR abs/2208.05631 (2022) - [i24]Yifan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization. CoRR abs/2208.08661 (2022) - [i23]Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan:
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification. CoRR abs/2208.12157 (2022) - [i22]Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li:
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. CoRR abs/2210.08748 (2022) - [i21]Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng:
Expanding Small-Scale Datasets with Guided Imagination. CoRR abs/2211.13976 (2022) - [i20]Hanlin Zhang, Yifan Zhang, Li Erran Li, Eric P. Xing:
The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning. CoRR abs/2212.08686 (2022) - 2021
- [j7]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune weight sharing for neural architecture search. Neural Networks 144: 553-564 (2021) - [j6]Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng:
Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. IEEE Trans. Image Process. 30: 6364-6376 (2021) - [j5]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [j4]Yifan Zhang, Xinglin Zhang:
Price Learning-based Incentive Mechanism for Mobile Crowd Sensing. ACM Trans. Sens. Networks 17(2): 17:1-17:24 (2021) - [c10]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. ICML 2021: 8184-8194 - [c9]Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. IJCAI 2021: 2921-2927 - [c8]Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan:
Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia 2021: 5038-5046 - [c7]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. NeurIPS 2021: 5972-5984 - [c6]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS 2021: 29848-29860 - [i19]Yifan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan:
Focal and Efficient IOU Loss for Accurate Bounding Box Regression. CoRR abs/2101.08158 (2021) - [i18]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR abs/2102.06605 (2021) - [i17]Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan:
Learning Defense Transformers for Counterattacking Adversarial Examples. CoRR abs/2103.07595 (2021) - [i16]Yifan Zhang, Hanlin Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan:
Learning Domain Invariant Representations for Generalizable Person Re-Identification. CoRR abs/2103.15890 (2021) - [i15]Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng:
How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR abs/2104.12081 (2021) - [i14]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. CoRR abs/2106.05001 (2021) - [i13]Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. CoRR abs/2106.15326 (2021) - [i12]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. CoRR abs/2107.00254 (2021) - [i11]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. CoRR abs/2107.09249 (2021) - [i10]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. CoRR abs/2110.04596 (2021) - [i9]Hanlin Zhang, Yifan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing:
Towards Principled Disentanglement for Domain Generalization. CoRR abs/2111.13839 (2021) - 2020
- [j3]Yifan Zhang, Xinglin Zhang, Feng Li:
BiCrowd: Online Biobjective Incentive Mechanism for Mobile Crowdsensing. IEEE Internet Things J. 7(11): 11078-11091 (2020) - [j2]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [c5]Yifan Zhang, Xinglin Zhang:
BundleSense: A Task-Bundling-Based Incentive Mechanism for Mobile Crowd Sensings. ICCCN 2020: 1-9 - [c4]Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan:
Relation-Aware Transformer for Portfolio Policy Learning. IJCAI 2020: 4647-4653 - [i8]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR abs/2003.03051 (2020) - [i7]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR abs/2003.13089 (2020) - [i6]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i5]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020)
2010 – 2019
- 2019
- [j1]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-Sensitive Online Classification. IEEE Trans. Knowl. Data Eng. 31(2): 214-228 (2019) - [c3]Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c2]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. NeurIPS 2019: 1774-1784 - [i4]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. CoRR abs/1911.00888 (2019) - [i3]Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/1911.07293 (2019) - [i2]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR abs/1911.07498 (2019) - 2018
- [c1]Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan:
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD 2018: 2768-2777 - [i1]Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang:
Adaptive Cost-sensitive Online Classification. CoRR abs/1804.02246 (2018)
Coauthor Index
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