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Yiheng Zhang
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2020 – today
- 2024
- [j12]Yiheng Zhang, Weiqing Diao, Yong Nie, Qin Wang:
Design of signage guidance system for tourist attractions based on computer vision technology. J. Comput. Methods Sci. Eng. 24(1): 413-426 (2024) - [j11]Jie Wang, Shenghao Yang, Yanyan Dong, Yiheng Zhang:
On Achievable Rates of Line Networks With Generalized Batched Network Coding. IEEE J. Sel. Areas Commun. 42(5): 1316-1328 (2024) - [j10]Ge Zhu, Yuhan Chen, Xianquan Wang, Yiheng Zhang:
MMFF-NET: Multi-layer and multi-scale feature fusion network for low-light infrared image enhancement. Signal Image Video Process. 18(2): 1089-1097 (2024) - [j9]Liang Zhao, Jie Yu, Yiheng Zhang, Liqun Chen:
On the Privacy of Elementary Matrices Masking-Based Verifiable (Outsourced) Computation. IEEE Trans. Dependable Secur. Comput. 21(4): 4299-4301 (2024) - [j8]Yiheng Zhang, Ting Yao, Zhaofan Qiu, Tao Mei:
Explaining Cross-domain Recognition with Interpretable Deep Classifier. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 67:1-67:21 (2024) - [c42]Yiheng Zhang, Yunkang Cao, Tianhang Zhang, Weiming Shen:
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection. CASE 2024: 2134-2139 - [c41]Chunlin Liao, Yiheng Zhang, Rongrong Chen:
The Sense of Agency Improves Visual Search and Holds Up Against External Salient Distractions in Virtual Reality. CHI Extended Abstracts 2024: 319:1-319:7 - [c40]Yang Luo, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Zhineng Chen, Yu-Gang Jiang, Tao Mei:
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process. ACM Multimedia 2024: 7075-7084 - [i16]Yiheng Zhang, Yunkang Cao, Tianhang Zhang, Weiming Shen:
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection. CoRR abs/2406.04573 (2024) - [i15]Yiheng Zhang, Yunkang Cao, Xiaohao Xu, Weiming Shen:
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection. CoRR abs/2406.04687 (2024) - [i14]Haiming Yao, Wei Luo, Yunkang Cao, Yiheng Zhang, Wenyong Yu, Weiming Shen:
Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection. CoRR abs/2406.07333 (2024) - [i13]Yang Luo, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Zhineng Chen, Yu-Gang Jiang, Tao Mei:
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process. CoRR abs/2409.07451 (2024) - 2023
- [j7]Pengjie Xu, Yuanzhe Cui, Yichao Shen, Wei Zhu, Yiheng Zhang, Bingzheng Wang, Qirong Tang:
Reinforcement learning compensated coordination control of multiple mobile manipulators for tight cooperation. Eng. Appl. Artif. Intell. 123(Part A): 106281 (2023) - [j6]Yiheng Zhang, Ting Yao, Zhaofan Qiu, Tao Mei:
Lightweight and Progressively-Scalable Networks for Semantic Segmentation. Int. J. Comput. Vis. 131(8): 2153-2171 (2023) - [j5]Botao Zhang, Yiheng Zhang, Bandar Alshawi, Ryan Alturki:
Basketball Flight Trajectory Tracking using Video Signal Filtering. Mob. Networks Appl. 28(5): 1699-1711 (2023) - [c39]Yunkang Cao, Yiheng Zhang, Weiming Shen:
High-Resolution Image Anomaly Detection via Spatiotemporal Consistency Incorporated Knowledge Distillation. CASE 2023: 1-6 - [c38]Sun'ao Liu, Yiheng Zhang, Zhaofan Qiu, Hongtao Xie, Yongdong Zhang, Ting Yao:
Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation. CVPR 2023: 11319-11328 - [c37]Hong Hanh Doan, Audri Adhyas Paul, Harald Zeindlinger, Yiheng Zhang, Sajjad Khan, Davor Svetinovic:
Threat Modeling for ML-based Topology Prediction in Vehicular Edge Computing Architecture. DASC/PiCom/CBDCom/CyberSciTech 2023: 523-530 - [c36]Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei:
Learning Neural Implicit Surfaces with Object-Aware Radiance Fields. ICCV 2023: 17847-17856 - [c35]Sun'ao Liu, Yiheng Zhang, Zhaofan Qiu, Hongtao Xie, Yongdong Zhang, Ting Yao:
CARIS: Context-Aware Referring Image Segmentation. ACM Multimedia 2023: 779-788 - 2022
- [j4]Mao Ni, Lan Chen, Xiaoran Hao, Chenji Liu, Yiheng Zhang, Lei Pan:
Write-awareness prefetching for non-volatile cache in energy-constrained IoT device. IEICE Electron. Express 19(3): 20210499 (2022) - [j3]Mao Ni, Lan Chen, Xiaoran Hao, Chenji Liu, Yiheng Zhang, Ying Li:
Elastic adaptive prefetching for non-volatile cache in IoT terminals. IEICE Electron. Express 19(13): 20220225 (2022) - [c34]Jingwen Chen, Yiheng Zhang, Zhongwei Zhang, Yingwei Pan, Ting Yao:
3D-Producer: A Hybrid and User-Friendly 3D Reconstruction System. CICAI (3) 2022: 526-531 - [c33]Yumin Zhang, Yiru Zhang, Yiheng Zhang:
Fruit and vegetable disease identification based on updating the activation function for the ConvNeXt model. EITCE 2022: 1045-1049 - [i12]Rui Li, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei:
Motion-Focused Contrastive Learning of Video Representations. CoRR abs/2201.04029 (2022) - [i11]Yingwei Pan, Yehao Li, Yiheng Zhang, Qi Cai, Fuchen Long, Zhaofan Qiu, Ting Yao, Tao Mei:
Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation. CoRR abs/2206.06289 (2022) - [i10]Yiheng Zhang, Ting Yao, Zhaofan Qiu, Tao Mei:
Lightweight and Progressively-Scalable Networks for Semantic Segmentation. CoRR abs/2207.13600 (2022) - [i9]Yiheng Zhang, Ting Yao, Zhaofan Qiu, Tao Mei:
Explaining Cross-Domain Recognition with Interpretable Deep Classifier. CoRR abs/2211.08249 (2022) - 2021
- [j2]Xin Tan, Ke Xu, Ying Cao, Yiheng Zhang, Lizhuang Ma, Rynson W. H. Lau:
Night-Time Scene Parsing With a Large Real Dataset. IEEE Trans. Image Process. 30: 9085-9098 (2021) - [c32]Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei:
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning. AAAI 2021: 10656-10664 - [c31]Rui Li, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei:
Motion-Focused Contrastive Learning of Video Representations*. ICCV 2021: 2085-2094 - [c30]Yiheng Zhang, Ximing Fu, Xuanchen Wu, Shenghao Yang, Kenneth W. Shum:
Solving Monoshift Systems and Applications in Random Coding. ISIT 2021: 1296-1301 - [c29]Chenyang Li, Tianwei Wang, Yiheng Zhang, Xinxu Xu, Qifan Wang, Ruichen Zheng, He Cui:
Serial Decoding of Macaque Intracortical Activity for Feedforward Control of Coherent Sequential Reach. NER 2021: 49-52 - [c28]Chenyang Li, Yiheng Zhang, Tianwei Wang, Xinxu Xu, Qifan Wang, Ruichen Zheng, He Cui:
Detecting Movement Timing from Primate Intracortical Signals for Brain-machine Interfaces in Dynamic Environment. RCAR 2021: 304-308 - [i8]Shenghao Yang, Jie Wang, Yanyan Dong, Yiheng Zhang:
Capacity Scalability of Line Networks with Batched Codes. CoRR abs/2105.07669 (2021) - 2020
- [c27]Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei:
Transferring and Regularizing Prediction for Semantic Segmentation. CVPR 2020: 9618-9627 - [i7]Xin Tan, Yiheng Zhang, Ying Cao, Lizhuang Ma, Rynson W. H. Lau:
Night-time Semantic Segmentation with a Large Real Dataset. CoRR abs/2003.06883 (2020) - [i6]Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei:
Transferring and Regularizing Prediction for Semantic Segmentation. CoRR abs/2006.06570 (2020) - [i5]Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei:
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning. CoRR abs/2008.00975 (2020)
2010 – 2019
- 2019
- [c26]Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu, Tao Mei:
Customizable Architecture Search for Semantic Segmentation. CVPR 2019: 11641-11650 - [c25]Shenghao Yang, Jie Wang, Yanyan Dong, Yiheng Zhang:
On the Capacity Scalability of Line Networks with Buffer Size Constraints. ISIT 2019: 1507-1511 - [i4]Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu, Tao Mei:
Customizable Architecture Search for Semantic Segmentation. CoRR abs/1908.09550 (2019) - [i3]Zhaofan Qiu, Ting Yao, Yiheng Zhang, Yongdong Zhang, Tao Mei:
Scheduled Differentiable Architecture Search for Visual Recognition. CoRR abs/1909.10236 (2019) - 2018
- [c24]Chenyang Li, Yiheng Zhang, Tianwei Wang, Xinxiu Xu, Qifan Wang, He Cui:
An Implementation of Brain-Machine Interface by Decoding Predictive Intracortical Signals toward a Moving Object*. CBS 2018: 520-523 - [c23]Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei:
Fully Convolutional Adaptation Networks for Semantic Segmentation. CVPR 2018: 6810-6818 - [i2]Qi Liu, Yiheng Zhang:
Light Transport Simulation via Generalized Multiple Importance Sampling. CoRR abs/1803.04305 (2018) - [i1]Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei:
Fully Convolutional Adaptation Networks for Semantic Segmentation. CoRR abs/1804.08286 (2018) - 2017
- [c22]Yiheng Zhang, Dong Liu, Zheng-Jun Zha:
Improving triplet-wise training of convolutional neural network for vehicle re-identification. ICME 2017: 1386-1391 - 2012
- [c21]Sara Gavenonis, Kristen Lau, Roshan Karunamuni, Yiheng Zhang, Baorui Ren, Chris Ruth, Andrew D. A. Maidment:
Initial Experience with Dual-Energy Contrast-Enhanced Digital Breast Tomosynthesis in the Characterization of Breast Cancer. Digital Mammography / IWDM 2012: 32-39 - 2010
- [j1]Yiheng Zhang, Qimei Cui, Ping Zhang, Xiaofeng Tao:
Channel State Information Feedback with Zero-Overhead in Closed-Loop MIMO System. IEICE Trans. Commun. 93-B(1): 9-15 (2010)
2000 – 2009
- 2009
- [c20]Qimei Cui, Yiheng Zhang, Xiaofeng Tao:
Hybrid-Pilot Based Downlink CSI Feedback Scheme with Zero-Overhead. VTC Fall 2009 - [c19]Yiheng Zhang, Qimei Cui, Xiaofeng Tao:
Cooperative Positioning for the Converged Networks. VTC Spring 2009 - [c18]Yiheng Zhang, Qimei Cui, Xiaofeng Tao:
Cooperative Group localization for the 4G Wireless Networks. VTC Fall 2009 - 2008
- [c17]Heang-Ping Chan, Jun Wei, Yiheng Zhang, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie:
Detection of Masses in Digital Breast Tomosynthesis Mammography: Effects of the Number of Projection Views and Dose. Digital Mammography / IWDM 2008: 279-285 - [c16]Yiheng Zhang, Heang-Ping Chan, Mitchell M. Goodsitt, Andrea Schmitz, Jeffrey W. Eberhard, Bernhard E. H. Claus:
Investigation of Different PV Distributions in Digital Breast Tomosynthesis (DBT) Mammography. Digital Mammography / IWDM 2008: 593-600 - [c15]Jiazheng Shi, Berkman Sahiner, Heang-Ping Chan, Chintana Paramagul, Lubomir M. Hadjiiski, Mark A. Helvie, Yi-Ta Wu, Jun Ge, Yiheng Zhang, Chuan Zhou, Jun Wei:
Breast mass segmentation on dynamic contrast-enhanced magnetic resonance scans using the level set method. Computer-Aided Diagnosis 2008: 69152A - [c14]Heang-Ping Chan, Yi-Ta Wu, Berkman Sahiner, Yiheng Zhang, Jun Wei, Richard H. Moore, Daniel B. Kopans, Mark A. Helvie, Lubomir M. Hadjiiski, Ted Way:
Digital tomosynthesis mammography: comparison of mass classification using 3D slices and 2D projection views. Computer-Aided Diagnosis 2008: 691506 - [c13]Jun Wei, Heang-Ping Chan, Yiheng Zhang, Berkman Sahiner, Chuan Zhou, Jun Ge, Yi-Ta Wu, Lubomir M. Hadjiiski:
Classification of breast masses and normal tissues in digital tomosynthesis mammography. Computer-Aided Diagnosis 2008: 691508 - [c12]Jun Ge, Heang-Ping Chan, Berkman Sahiner, Chuan Zhou, Mark A. Helvie, Jun Wei, Lubomir M. Hadjiiski, Yiheng Zhang, Yi-Ta Wu, Jiazheng Shi:
Automated detection of breast vascular calcification on full-field digital mammograms. Computer-Aided Diagnosis 2008: 691517 - [c11]Yi-Ta Wu, Berkman Sahiner, Heang-Ping Chan, Jun Wei, Lubomir M. Hadjiiski, Mark A. Helvie, Yiheng Zhang, Jiazheng Shi, Chuan Zhou, Jun Ge, Jing Cui:
Comparison of mammographic parenchymal patterns of normal subjects and breast cancer patients. Computer-Aided Diagnosis 2008: 691520 - [c10]Qimei Cui, Yiheng Zhang, Xiaofeng Tao:
A Taylor-Series-Based Cognitive Location Scheme for Future Wireless Networks. VTC Fall 2008: 1-5 - 2007
- [c9]Heang-Ping Chan, Jun Wei, Yiheng Zhang, Richard H. Moore, Daniel B. Kopans, Lubomir M. Hadjiiski, Berkman Sahiner, Marilyn A. Roubidoux, Mark A. Helvie:
Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information. Computer-Aided Diagnosis 2007: 651416 - [c8]Jun Ge, Heang-Ping Chan, Berkman Sahiner, Yiheng Zhang, Jun Wei, Lubomir M. Hadjiiski, Chuan Zhou:
Digital tomosynthesis mammography: intra- and interplane artifact reduction for high-contrast objects on reconstructed slices using a priori 3D geometrical information. Image Processing 2007: 65124Q - 2006
- [c7]Yiheng Zhang, Dana H. Brooks, David A. Boas:
A spatio-temporal reconstruction algorithm for diffuse optical tomography based on a hemodynamic response function model. ISBI 2006: 1292-1295 - [c6]Jun Wei, Berkman Sahiner, Yiheng Zhang, Heang-Ping Chan, Lubomir M. Hadjiiski, Chuan Zhou, Jun Ge, Yi-Ta Wu:
Regularized discriminate analysis for breast mass detection on full field digital mammograms. Image Processing 2006: 61445P - [c5]Jun Ge, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Jun Wei, Yiheng Zhang:
Computer-aided detection of clustered microcalcifications on full-field digital mammograms: a two-view information fusion scheme for FP reduction. Image Processing 2006: 61445R - [c4]Jun Wei, Berkman Sahiner, Lubomir M. Hadjiiski, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Chuan Zhou, Jun Ge, Yiheng Zhang:
Two-view information fusion for improvement of computer-aided detection (CAD) of breast masses on mammograms. Image Processing 2006: 614424 - 2004
- [c3]Yiheng Zhang, Dana H. Brooks, Maria Angela Franceschini, David A. Boas:
Reduction of Physiological Interference in Optical Functional Neuroimaging Using Eigenvector-Based Spatial Filtering. ISBI 2004: 672-675 - [c2]Yiheng Zhang, Alireza Ghodrati, Dana H. Brooks:
Analysis of Spatial-Temporal Regularization Methods for Linear Inverse Problems from a Common Statistical Framework. ISBI 2004: 772-775 - 2002
- [c1]Yiheng Zhang, Dana H. Brooks, David A. Boas:
A multi-resolution admissible solution approach for diffuse optical tomography. ISBI 2002: 1005-1008
Coauthor Index
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last updated on 2024-11-28 20:26 CET by the dblp team
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