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ORCIDZekai Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j11]Xueqin Wu
, Yikai Chen, Zekai Wang, Chenming Tian, Zhonghua Shen:
Efficient Selective Image Fusion: A PCB Diagnosis Approach and Implementation. J. Electron. Test. 40(5): 669-678 (2024)- [j10]Wenlong Hou, Ning Jia, Xianhui Liu, Weidong Zhao, Zekai Wang:
A Multiagent-Based Document-Level Relation Extraction System With Entity Pair Awareness and Sentence Significance. IEEE Syst. J. 18(4): 1905-1916 (2024) - [j9]Zekai Wang, Suhao Chen, Tieming Liu, Bing Yao:
Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction. IEEE J. Biomed. Health Informatics 28(3): 1704-1715 (2024) - [c12]Zekai Wang, Zhengyu Zhou, Weiwei Liu:
DRF: Improving Certified Robustness via Distributional Robustness Framework. AAAI 2024: 15752-15760 - [i6]Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He:
Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. CoRR abs/2401.03428 (2024) - [i5]Zekai Wang, Tieming Liu, Bing Yao:
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records. CoRR abs/2407.00840 (2024) - [i4]Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig:
In-Context Learning Enables Robot Action Prediction in LLMs. CoRR abs/2410.12782 (2024) - 2023
- [j8]Zekai Wang, Stavros Stavrakis, Bing Yao:
Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals. Comput. Biol. Medicine 155: 106641 (2023) - [j7]Zekai Wang, Weiwei Liu:
RVCL: Evaluating the Robustness of Contrastive Learning via Verification. J. Mach. Learn. Res. 24: 396:1-396:43 (2023) - [j6]Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu:
Sequential ensemble learning for next item recommendation. Knowl. Based Syst. 277: 110809 (2023) - [j5]Yiteng Lin, Tao Zhou, Zekai Wang:
A High-Reliable Wireless Sensor Network Coverage Scheme in Substations for the Power Internet of Things. Symmetry 15(5): 1020 (2023) - [j4]Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu:
Task Variance Regularized Multi-Task Learning. IEEE Trans. Knowl. Data Eng. 35(8): 8615-8629 (2023) - [c11]Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu:
Sequential Hypergraph Convolution Network for Next Item Recommendation. DASFAA (2) 2023: 389-405 - [c10]Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu:
Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. ICDM 2023: 974-979 - [c9]Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan:
Better Diffusion Models Further Improve Adversarial Training. ICML 2023: 36246-36263 - [i3]Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan:
Better Diffusion Models Further Improve Adversarial Training. CoRR abs/2302.04638 (2023) - 2022
- [j3]Zekai Wang, Bing Yao:
Multi-Branching Temporal Convolutional Network for Sepsis Prediction. IEEE J. Biomed. Health Informatics 26(2): 876-887 (2022) - [c8]Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie:
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. ACL (Findings) 2022: 3436-3448 - [c7]Suhao Chen, Zekai Wang, Bing Yao, Tieming Liu:
Prediction of Diabetic Retinopathy Using Longitudinal Electronic Health Records. CASE 2022: 949-954 - [c6]Zekai Wang, Chenang Liu, Bing Yao:
Multi-Branching Neural Network for Myocardial Infarction Prediction. CASE 2022: 2118-2123 - [c5]Yi Lin, Meng Li, Yuchen Tang, Wei Lin, Zhiming Chen, Zekai Wang, Tao Ding:
Resilient Power System Black-start Restoration Model Considering Uncertain Renewable Energy. ICARCV 2022: 540-544 - [c4]Zekai Wang, Weiwei Liu:
Robustness Verification for Contrastive Learning. ICML 2022: 22865-22883 - [c3]Xinsong Ma, Zekai Wang, Weiwei Liu:
On the Tradeoff Between Robustness and Fairness. NeurIPS 2022 - [i2]Zekai Wang, Stavros Stavrakis, Bing Yao:
Hierarchical Deep Learning with Generative Adversarial Network for Automatic Cardiac Diagnosis from ECG Signals. CoRR abs/2210.11408 (2022) - 2021
- [j2]Tao Ding, Ming Qu, Zekai Wang, Bo Chen, Chen Chen, Mohammad Shahidehpour:
Power System Resilience Enhancement in Typhoons Using a Three-Stage Day-Ahead Unit Commitment. IEEE Trans. Smart Grid 12(3): 2153-2164 (2021) - [c2]Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu:
BanditMTL: Bandit-based Multi-task Learning for Text Classification. ACL/IJCNLP (1) 2021: 5506-5516 - [i1]Yuyang Sun, Zhiyong Zhang, Changzhen Qiu, Liang Wang, Zekai Wang:
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations. CoRR abs/2111.07601 (2021) - 2020
- [j1]Tao Ding, Zekai Wang, Wenhao Jia, Bo Chen, Chen Chen, Mohammad Shahidehpour:
Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids. IEEE Trans. Smart Grid 11(6): 4795-4808 (2020)
2010 – 2019
- 2019
- [c1]Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang:
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. IJCAI 2019: 3813-3819
Coauthor Index
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