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ORCIDShenghua He
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2020 – today
- 2024
[i8]Hui Wei, Shenghua He, Tian Xia, Andy Wong, Jingyang Lin, Mei Han:
Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates. CoRR abs/2408.13006 (2024)- 2022
- [c13]Youbao Tang, Ning Zhang, Yirui Wang
, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. MICCAI (4) 2022: 535-544 - [i7]Yirui Wang, Shenghua He, Youbao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han:
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation. CoRR abs/2207.11325 (2022) - [i6]Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. CoRR abs/2208.13113 (2022) - 2021
- [j5]Shenghua He, Chunfeng Lian, Wade Thorstad, Hiram Gay, Yujie Zhao, Su Ruan, Xiaowei Wang, Hua Li:
A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers. Bioinform. 37(19): 3106-3114 (2021) - [j4]Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Deeply-supervised density regression for automatic cell counting in microscopy images. Medical Image Anal. 68: 101892 (2021) - [c12]Zong Fan, Shenghua He, Su Ruan, Xiaowei Wang, Hua Li:
Deep learning-based multi-class COVID-19 classification with x-ray images. Image-Guided Procedures 2021 - 2020
- [c11]Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio:
Learning numerical observers using unsupervised domain adaptation. Image Perception, Observer Performance, and Technology Assessment 2020: 113160W - [i5]Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio:
Learning Numerical Observers using Unsupervised Domain Adaptation. CoRR abs/2002.03763 (2020) - [i4]Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images. CoRR abs/2011.03683 (2020)
2010 – 2019
- 2019
- [j3]Yan Zhuang, Lei Yu, Haiying Shen, William Kolodzey, Nematollah Iri, Gregori Caulfield, Shenghua He:
Data Collection with Accuracy-Aware Congestion Control in Sensor Networks. IEEE Trans. Mob. Comput. 18(5): 1068-1082 (2019) - [c10]Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Automatic microscopic cell counting by use of deeply-supervised density regression model. Digital Pathology 2019: 109560L - [c9]Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Hua Li, Mark A. Anastasio:
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression. Digital Pathology 2019: 1095604 - [i3]Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Hua Li, Mark A. Anastasio:
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression. CoRR abs/1903.00388 (2019) - [i2]Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Automatic microscopic cell counting by use of deeply-supervised density regression model. CoRR abs/1903.01084 (2019) - 2018
- [c8]Shenghua He, Haiying Shen, Vivekgautham Soundararaj, Lei Yu:
Cloud Assisted Traffic Redundancy Elimination for Power Efficiency in Smartphones. MASS 2018: 371-379 - [c7]Shenghua He, Jie Zheng, Akiko Maehara, Gary S. Mintz, Dalin Tang, Mark A. Anastasio, Hua Li:
Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images. Image Processing 2018: 1057432 - [i1]Shenghua He, Jie Zheng, Akiko Maehara, Gary S. Mintz, Dalin Tang, Mark A. Anastasio, Hua Li:
Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images. CoRR abs/1807.03613 (2018) - 2017
- [c6]Haiying Shen, Shenghua He, Lei Yu, Ankur Sarker:
Prediction-based redundant data elimination with content overhearing in wireless networks. PerCom 2017: 50-58 - 2015
- [j2]Jun Zhao, Zhaoming Lu, Xiangming Wen, Haijun Zhang, Shenghua He, Wenpeng Jing:
Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks. Int. J. Distributed Sens. Networks 11: 819195:1-819195:11 (2015) - [j1]Shenghua He, Zhaoming Lu, Xiangming Wen, Zhicai Zhang, Jun Zhao, Wenpeng Jing:
A Pricing Power Control Scheme with Statistical Delay QoS Provisioning in Uplink of Two-tier OFDMA Femtocell Networks. Mob. Networks Appl. 20(4): 413-423 (2015) - 2014
- [c5]Ling Zhang, Shenghua He, Xiangming Wen, Wei Zheng, Jun Zhao, Zhiqun Hu:
Network MIMO with decision tree classification in downlink OFDMA networks. ICT 2014: 22-26 - [c4]Zhicai Zhang, Xiangming Wen, Zhengfu Li, Shenghua He, Wenpeng Jing, Jun Zhao:
QoS-aware energy-efficient power control in two-tier femtocell networks based on Q-learning. ICT 2014: 313-317 - [c3]Shenghua He, Ling Zhang, Xiangming Wen, Zhicai Zhang, Zhaoming Lu, Yong Sun:
Price-based power control with statistical delay QoS guarantee in two-tier femtocell networks. ICT 2014: 318-322 - [c2]Ling Zhang, Xiangming Wen, Ting Xu, Zhaoming Lu, Jun Zhao, Shenghua He:
Coordinated Scheduling in Downlink Multi-Cell OFDMA Networks. VTC Fall 2014: 1-5 - [c1]Shenghua He, Zhaoming Lu, Xiangming Wen, Zhicai Zhang, Yong Sun, Ling Zhang:
Energy-efficient power allocation with QoS guarantee in OFDMA wireless networks. WPMC 2014: 163-167
Coauthor Index
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