Weizhi Li

According to our database, Weizhi Li authored at least 24 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication.

Weizhi Li, Haotai Liang, Chen Dong, Xiaodong Xu, Ping Zhang, Kaijun Liu

IEEE Trans. Cogn. Commun. Netw., December, 2023

Multi-strategy Improved Seagull Optimization Algorithm.

Yancang Li, Weizhi Li, Qiuyu Yuan, Huawang Shi, Muxuan Han

Int. J. Comput. Intell. Syst., December, 2023

Active Sequential Two-Sample Testing.

Weizhi Li, Karthikeyan Natesan Ramamurthy, Prad Kadambi, Pouria Saidi, Gautam Dasarathy, Visar Berisha

CoRR, 2023

2022

Microstructured PVDF Film with Improved Performance as Flexible Infrared Sensor.

Hongjian Guan, Weizhi Li, Ruilin Yang, Yuanjie Su, Hang Li

Sensors, 2022

A label efficient two-sample test.

Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

High-precision anti-jamming plant identification based on Faster-RCNN algorithm.

Weizhi Li

Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021

A Novel Iterative Receiver for PAM-DMT Based Hybrid Optical OFDM.

Weizhi Li, Chen Dong, Xiaodong Xu, Fei Xu, Boxiao Han

Proceedings of the 26th IEEE Asia-Pacific Conference on Communications, 2021

2020

Finding the Homology of Decision Boundaries with Active Learning.

Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Regularization via Structural Label Smoothing.

Weizhi Li, Gautam Dasarathy, Visar Berisha

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Image Co-Saliency Detection and Co-Segmentation via Progressive Joint Optimization.

Chung-Chi Tsai, Weizhi Li, Kuang-Jui Hsu, Xiaoning Qian, Yen-Yu Lin

IEEE Trans. Image Process., 2019

Time-weighted Attentional Session-Aware Recommender System.

Mei Wang, Weizhi Li, Yan Yan

CoRR, 2019

Last-Position Elimination-Based Fireworks Algorithm for Function Optimization.

Junqi Zhang, Weizhi Li

Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

2017

A novel image tag completion method based on convolutional neural network.

Yanyan Geng, Weizhi Li, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jim Jing-Yan Wang

CoRR, 2017

Learning Convolutional Ranking-Score Function by Query Preference Regularization.

Guohui Zhang, Gaoyuan Liang, Weizhi Li, Jian Fang, Jingbin Wang, Yanyan Geng, Jingyan Wang

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Noise-tolerant deep learning for histopathological image segmentation.

Weizhi Li, Xiaoning Qian, Jim Jing-Yan Ji

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A Novel Image Tag Completion Method Based on Convolutional Neural Transformation.

Yanyan Geng, Guohui Zhang, Weizhi Li, Yi Gu, Ru-Ze Liang, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jingyan Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Learning convolutional neural network to maximize Pos@Top performance measure.

Yanyan Geng, Ru-Ze Liang, Weizhi Li, Jingbin Wang, Gaoyuan Liang, Chenhao Xu, Jingyan Wang

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Arbitrarily Accessible 3D Microfluidic Device for Combinatorial High-Throughput Drug Screening.

Zhuofa Chen, Weizhi Li, Gihoon Choi, Xiaonan Yang, Jun Miao, Liwang Cui, Weihua Guan

Sensors, 2016

The Effects of Image Dehazing Methods Using Dehazing Contrast-Enhancement Filters on Image Compression.

Liping Wang, Xiao Zhou, Cheng-You Wang, Weizhi Li

KSII Trans. Internet Inf. Syst., 2016

Semi-supervised structured output prediction by local linear regression and sub-gradient descent.

Ru-Ze Liang, Wei Xie, Weizhi Li, Xin Du, Jim Jing-Yan Wang, Jingbin Wang

CoRR, 2016

Learning convolutional neural network to maximize Pos@Top performance measure.

Ru-Ze Liang, Gaoyuan Liang, Weizhi Li, Qinfeng Li, Jim Jing-Yan Wang

CoRR, 2016

Multispectral imaging burn wound tissue classification system: a comparison of test accuracies between several common machine learning algorithms.

John J. Squiers, Weizhi Li, Darlene R. King, Weirong Mo, Xu Zhang, Yang Lu, Eric W. Sellke, Wensheng Fan, J. Michael DiMaio, Jeffrey E. Thatcher

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

A Novel Transfer Learning Method Based on Common Space Mapping and Weighted Domain Matching.

Ru-Ze Liang, Wei Xie, Weizhi Li, Hongqi Wang, Jim Jing-Yan Wang, Lisa Taylor

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2014

Demonstrating A Public Health Terrain Data Visualization System.

Jeremy Keiper, Shiaofen Fang, Mathew Palakal, Yuni Xia, Sam Bloomquist, Shaun J. Grannis, Weizhi Li, Thanh M. Nguyen, Anand Krishnan

Proceedings of the AMIA 2014, 2014