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ORCIDJinghan Sun
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2020 – today
- 2024
[j7]Jinghan Sun
, Dong Wei, Liansheng Wang, Yefeng Zheng:
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction. Medical Image Anal. 93: 103102 (2024)- [c22]Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. AAAI 2024: 1445-1453 - [c21]Jinghan Sun, Zibo Gong, Anup Agarwal, Shadi A. Noghabi, Ranveer Chandra, Marc Snir, Jian Huang:
Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale. SoCC 2024: 552-569 - [c20]Ningbo Zhu, Jinghan Sun, Shuyi Zhang, Xinyao Sun, Irene Cheng:
Demo: Blockchain Shield - Advanced Threat Detection & Forensic Analysis Platform. ICDCS 2024: 1400-1403 - [c19]Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong:
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. MICCAI (8) 2024: 294-304 - [c18]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang:
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. MICCAI (9) 2024: 372-382 - [i11]Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. CoRR abs/2403.11803 (2024) - [i10]Jinghan Sun, Zibo Gong, Anup Agarwal, Shadi A. Noghabi, Ranveer Chandra, Marc Snir, Jian Huang:
Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale. CoRR abs/2406.02252 (2024) - 2023
- [j6]Jinghan Sun, Shaobo Li, Jun Xu, Jian Huang:
The Security War in File Systems: An Empirical Study from A Vulnerability-centric Perspective. ACM Trans. Storage 19(4): 34:1-34:26 (2023) - [c17]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. AAAI 2023: 1657-1665 - [c16]Jinghan Sun, Shaobo Li, Yunxin Sun, Chao Sun, Dejan Vucinic, Jian Huang:
LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives. ASPLOS (2) 2023: 442-456 - [c15]Hao Wu, Jinghan Sun, Haihan Duan, Wei Cai:
Newbie at CUHKSZ: A Voxel Art Puzzle Game for Campus Orientation. ICCE 2023: 1-2 - [c14]Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. MICCAI (4) 2023: 3-13 - [c13]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. MICCAI (1) 2023: 363-373 - [c12]Daixuan Li, Jinghan Sun, Jian Huang:
Learning to Drive Software-Defined Solid-State Drives. MICRO 2023: 1289-1304 - [i9]Jinghan Sun, Shaobo Li, Yunxin Sun, Chao Sun, Dejan Vucinic, Jian Huang:
LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives. CoRR abs/2301.00072 (2023) - [i8]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2303.05302 (2023) - [i7]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray. CoRR abs/2307.09184 (2023) - 2022
- [j5]Jidong Zhai, Liyan Zheng, Jinghan Sun, Feng Zhang, Xiongchao Tang, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen, Weimin Zheng:
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems. IEEE Trans. Parallel Distributed Syst. 33(12): 3558-3574 (2022) - [c11]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. AAAI 2022: 2307-2315 - [c10]Xinyao Sun, Yi Lu, Jinghan Sun, Bohao Tang, Kyle D. Rehak, Shuyi Zhang:
Matrix Syncer - A Multi-chain Data Aggregator for Supporting Blockchain-Based Metaverses. ICSM 2022: 282-293 - [c9]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-Shot Medical Report Generation. MICCAI (5) 2022: 615-625 - [c8]Benjamin Reidys, Jinghan Sun, Anirudh Badam, Shadi A. Noghabi, Jian Huang:
BlockFlex: Enabling Storage Harvesting with Software-Defined Flash in Modern Cloud Platforms. OSDI 2022: 17-33 - [i6]Xinyao Sun, Yi Lu, Jinghan Sun, Bohao Tang, Kyle D. Rehak, Shuyi Zhang:
Matrix Syncer - A Multi-chain Data Aggregator For Supporting Blockchain-based Metaverses. CoRR abs/2204.04272 (2022) - [i5]Jinghan Sun, Shaobo Li, Jun Xu, Jian Huang:
The Security War in File Systems: An Empirical Study from A Vulnerability-Centric Perspective. CoRR abs/2204.12590 (2022) - [i4]Daixuan Li, Benjamin Reidys, Jinghan Sun, Thomas Shull, Josep Torrellas, Jian Huang:
UniHeap: Managing Persistent Objects Across Managed Runtimes for Non-Volatile Memory. CoRR abs/2205.06444 (2022) - [i3]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-shot Medical Report Generation. CoRR abs/2211.08732 (2022) - [i2]Futian Weng, Yan Xu, Yuanting Ma, Jinghan Sun, Shijun Shan, Qiyuan Li, Jianping Zhu, Yang Wang:
An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases. CoRR abs/2211.10858 (2022) - 2021
- [j4]Xiao Song, Kai Chen, Xu Li, Jinghan Sun, Baocun Hou, Yong Cui, Baochang Zhang, Gang Xiong, Zilie Wang:
Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network. IEEE Trans. Intell. Transp. Syst. 22(6): 3285-3302 (2021) - [c7]Anup Agarwal, Jinghan Sun, Shadi A. Noghabi, Srinivasan Iyengar, Anirudh Badam, Ranveer Chandra, Srinivasan Seshan, Shivkumar Kalyanaraman:
Redesigning Data Centers for Renewable Energy. HotNets 2021: 45-52 - [c6]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. MICCAI (5) 2021: 519-529 - [c5]Jinghan Sun, Jian Huang, Marc Snir:
Pinpointing crash-consistency bugs in the HPC I/O stack: a cross-layer approach. SC 2021: 103 - [c4]Daixuan Li, Benjamin Reidys, Jinghan Sun, Thomas Shull, Josep Torrellas, Jian Huang:
UniHeap: managing persistent objects across managed runtimes for non-volatile memory. SYSTOR 2021: 7:1-7:12 - [i1]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. CoRR abs/2110.04558 (2021) - 2020
- [j3]Helan Liang, Yanhua Du, Enting Gao, Jinghan Sun:
Cost-driven scheduling of service processes in hybrid cloud with VM deployment and interval-based charging. Future Gener. Comput. Syst. 107: 351-367 (2020) - [c3]Jinghan Sun, Chen Wang, Jian Huang, Marc Snir:
Understanding and Finding Crash-Consistency Bugs in Parallel File Systems. HotStorage 2020 - [c2]Chen Wang, Jinghan Sun, Marc Snir, Kathryn M. Mohror, Elsa Gonsiorowski:
Recorder 2.0: Efficient Parallel I/O Tracing and Analysis. IPDPS Workshops 2020: 1052-1059
2010 – 2019
- 2019
- [j2]Yizhai Zhang, Wenhui Wang, Jinghan Sun, Haitao Chang, Panfeng Huang:
A Self-Reconfiguration Planning Strategy for Cellular Satellites. IEEE Access 7: 4516-4528 (2019) - [j1]Xiao Song, Hongnan Xie, Jinghan Sun, Daolin Han, Yong Cui, Bin Chen:
Simulation of Pedestrian Rotation Dynamics Near Crowded Exits. IEEE Trans. Intell. Transp. Syst. 20(8): 3142-3155 (2019) - 2018
- [c1]Jing Liu, Xiao Song, Jinghan Sun, Ziping Xie:
Global A* for Pedestrian Room Evacuation Simulation. BigComp 2018: 573-577
Coauthor Index
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