- 2024
- Jinghan Wang, Yanqun Huang
, Xueqin Huang, Junyu Yang, Jutao Li:
The influence of signal hue and background music pitch on vigilance. Displays 83: 102677 (2024) - Xiangyu Ji, Xujun Han
, Xiaobo Zhu
, Yajun Huang, Zengjing Song, Jinghan Wang, Miaohang Zhou, Xuemei Wang
:
Comparison and Validation of Multiple Medium- and High-Resolution Land Cover Products in Southwest China. Remote. Sens. 16(6): 1111 (2024) - Suzhong Fu
, Jing Xu, Shilong Chang, Luyao Yang, Shuting Ling, Jinghan Cai, Jiayin Chen
, Jiacheng Yuan, Ying Cai, Bei Zhang, Zicheng Huang, Kun Yang, Wenhai Sui
, Linyan Xue
, Qingliang Zhao
:
Robust Vascular Segmentation for Raw Complex Images of Laser Speckle Contrast Based on Weakly Supervised Learning. IEEE Trans. Medical Imaging 43(1): 39-50 (2024) - Chihun Song
, Michael Jaemin Kim
, Tianchen Wang
, Houxiang Ji
, Jinghan Huang
, Ipoom Jeong
, Jaehyun Park
, Hwayong Nam
, Minbok Wi
, Jung Ho Ahn
, Nam Sung Kim
:
TAROT: A CXL SmartNIC-Based Defense Against Multi-bit Errors by Row-Hammer Attacks. ASPLOS (3) 2024: 981-998 - Jiaqi Lou, Xinhao Kong, Jinghan Huang, Wei Bai, Nam Sung Kim, Danyang Zhuo:
Harmonic: Hardware-assisted RDMA Performance Isolation for Public Clouds. NSDI 2024 - Jinghang Li, Tales S. Santini, Yuanzhe Huang, Joseph M. Mettenburg, Tamer S. Ibrahim, Howard J. Aizenstein, Minjie Wu:
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T. CoRR abs/2402.12701 (2024) - Jinghan Huang, Qiufeng Chen, Yijun Bian, Pengli Zhu, Nanguang Chen, Moo K. Chung, Anqi Qiu:
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data. CoRR abs/2403.06687 (2024) - Jinghan Huang, Nanguang Chen, Anqi Qiu:
Topological Cycle Graph Attention Network for Brain Functional Connectivity. CoRR abs/2403.19149 (2024) - Yuzhen Huang, Jinghan Zhang, Zifei Shan, Junxian He:
Compression Represents Intelligence Linearly. CoRR abs/2404.09937 (2024) - 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
- Shaoqing Dai
, Wufan Zhao
, Yanwen Wang
, Xiao Huang, Zhidong Chen, Jinghan Lei, Alfred Stein, Peng Jia:
Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China. Int. J. Appl. Earth Obs. Geoinformation 125: 103539 (2023) - Jing Ke, Yizhou Lu, Yiqing Shen
, Junchao Zhu
, Yijin Zhou
, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo
, Zhonghua Wei
, Sheng Liu, Qin Huang
, Fusong Jiang
, Dinggang Shen:
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85: 102758 (2023) - Ji-dan Huang, Guanjie Cheng, Jinghan Zhang, Wei Miao:
Recognition method for stone carved calligraphy characters based on a convolutional neural network. Neural Comput. Appl. 35(12): 8723-8732 (2023) - Min Huang, Jinghan Yin, Shumin Yan, Pengcheng Xue:
A fault diagnosis method of bearings based on deep transfer learning. Simul. Model. Pract. Theory 122: 102659 (2023) - 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) - 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 - Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan R. K. Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim:
Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications. HPCA 2023: 499-515 - Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim:
Making Sense of Using a SmartNIC to Reduce Datacenter Tax from SLO and TCO Perspectives. IISWC 2023: 28-42 - Jinghan Huang, Moo K. Chung, Anqi Qiu:
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. IPMI 2023: 278-290 - Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim:
Analyzing Energy Efficiency of a Server with a SmartNIC under SLO Constraints. ISPASS 2023: 334-336 - Daixuan Li
, Jinghan Sun
, Jian Huang
:
Learning to Drive Software-Defined Solid-State Drives. MICRO 2023: 1289-1304 - Yan Sun
, Yifan Yuan
, Zeduo Yu
, Reese Kuper
, Chihun Song
, Jinghan Huang
, Houxiang Ji
, Siddharth Agarwal
, Jiaqi Lou
, Ipoom Jeong
, Ren Wang
, Jung Ho Ahn
, Tianyin Xu
, Nam Sung Kim
:
Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices. MICRO 2023: 105-121 - Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He:
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models. NeurIPS 2023 - Houxiang Ji
, Mark Mansi, Yan Sun, Yifan Yuan, Jinghan Huang, Reese Kuper, Michael M. Swift, Nam Sung Kim:
STYX: Exploiting SmartNIC Capability to Reduce Datacenter Memory Tax. USENIX Annual Technical Conference 2023: 619-633 - 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) - Jinghan Huang, Moo K. Chung, Anqi Qiu:
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. CoRR abs/2302.09323 (2023) - Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He:
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models. CoRR abs/2305.08322 (2023) - 2022
- Shengcai Cen
, Haokun Luo
, Jinghan Huang
, Wurui Shi
, Xueyun Chen
:
Pre-Trained Feature Fusion and Multidomain Identification Generative Adversarial Network for Face Frontalization. IEEE Access 10: 77872-77882 (2022) - Jinghang Gu
, Emmanuele Chersoni, Xing Wang, Chu-Ren Huang, Longhua Qian, Guodong Zhou:
LitCovid ensemble learning for COVID-19 multi-label classification. Database J. Biol. Databases Curation 2022(2022) (2022) - Jinghang Gu
, Rong Xiang, Xing Wang, Jing Li
, Wenjie Li, Longhua Qian, Guodong Zhou, Chu-Ren Huang:
Multi-probe attention neural network for COVID-19 semantic indexing. BMC Bioinform. 23(1): 259 (2022)