Zekai Wang - RankMe

44 papers A* 7C 1Journal 30Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FAR-AMTN: Attention Multi-Task Network for Face Attribute Recognition. CoRR Gong Gao, Zekai Wang, Xianhui Liu, Weidong Zhao
2026	J	`jnl`	LightPro: Lightweight multi-channel model protection for edge-oriented deep neural network. Appl. Soft Comput. Jinyin Chen, TianXin Zhang, Xiaoming Zhao, Zekai Wang, Haibin Zheng
2026	J	`jnl`	MUSE-Net: Missingness-Aware Multi-Branching Self-Attention Encoder for Irregular Longitudinal Electronic Health Records. IEEE Trans Autom. Sci. Eng. Zekai Wang, Tieming Liu, Bing Yao
2026	J	`jnl`	Mask-Guided Multi-Task Network for Face Attribute Recognition. CoRR Gong Gao, Zekai Wang, Jian Zhao, Ziqi Xie, Xianhui Liu, Weidong Zhao
2026	J	`jnl`	Mask-guided multi-task network for face attribute recognition. Int. J. Mach. Learn. Cybern. Gong Gao, Zekai Wang, Jian Zhao, Ziqi Xie, Xianhui Liu, Weidong Zhao
2026	J	`jnl`	Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts. CoRR Chen Yang, Guangyue Peng, Jiaying Zhu, Ran Le, Ruixiang Feng, Tao Zhang, Xiyun Xu, Yang Song, Yiming Jia, Yuntao Wen, Yunzhi Xu, Zekai Wang, Zhenwei An, Zhicong Sun, Zongchao Chen
2026	J	`jnl`	UAPFinger: One-to-many Deep Neural Network Fingerprinting via Universal Adversarial Perturbations. Expert Syst. Appl. Zekai Wang, Deyang Wu, Jie Wang, Xianquan Zhang, Zhenjun Tang
2025	—	`conf`	Enhanced Memory Performance in Ferroelectric NAND Applications: The Role of Tunnel Dielectric Position for Robust 10-Year Retention. IRPS Prasanna Venkatesan Ravindran, Andrea Padovani, Lance Fernandes, Priyankka Gundlapudi Ravikumar, Chinsung Park, Huy Tran, Zekai Wang, Hari Jayasankar, Amrit Garlapati, Taeyoung Song, Hang Chen, Winston Chern, Zheng Wang, Kijoon Kim, Jongho Woog, Suhwan Lim, Kwangsoo Kim, Wanki Kim, Daewon Ha, Shimeng Yu, Suman Datta, Luca Larcher, Gaurav Thareja, Asif Khan
2025	J	`jnl`	Experimental Studies on Low-Latency RIS Beam Tracking: Edge-Integrated and Visually Steered. Network Zekai Wang, Yuming Nie
2025	J	`jnl`	FAR-AMTN: Attention Multi-Task Network for Face Attribute Recognition. Comput. Vis. Image Underst. Gong Gao, Zekai Wang, Xianhui Liu, Weidong Zhao
2025	J	`jnl`	From Generated Human Videos to Physically Plausible Robot Trajectories. CoRR James Ni, Zekai Wang, Wei Lin, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik, Roei Herzig
2025	A*	`conf`	In-Context Learning Enables Robot Action Prediction in LLMs. ICRA Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig
2025	J	`jnl`	Nanbeige4-3B Technical Report: Exploring the Frontier of Small Language Models. CoRR Chen Yang, Guangyue Peng, Jiaying Zhu, Ran Le, Ruixiang Feng, Tao Zhang, Wei Ruan, Xiaoqi Liu, Xiaoxue Cheng, Xiyun Xu, Yang Song, Yanzipeng Gao, Yiming Jia, Yun Xing, Yuntao Wen, Zekai Wang, Zhenwei An, Zhicong Sun, Zongchao Chen
2025	J	`jnl`	Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting. CoRR Zekai Wang, Bing Yao
2025	J	`jnl`	Unsupervised Identification and Replay-based Detection (UIRD) for New Category Anomaly Detection in ECG Signal. CoRR Zhangyue Shi, Zekai Wang, Yuxuan Li
2024	J	`jnl`	A Multiagent-Based Document-Level Relation Extraction System With Entity Pair Awareness and Sentence Significance. IEEE Syst. J. Wenlong Hou, Ning Jia, Xianhui Liu, Weidong Zhao, Zekai Wang
2024	A*	`conf`	DRF: Improving Certified Robustness via Distributional Robustness Framework. AAAI Zekai Wang, Zhengyu Zhou, Weiwei Liu
2024	J	`jnl`	Efficient Selective Image Fusion: A PCB Diagnosis Approach and Implementation. J. Electron. Test. Xueqin Wu, Yikai Chen, Zekai Wang, Chenming Tian, Zhonghua Shen
2024	J	`jnl`	Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. CoRR Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He
2024	J	`jnl`	In-Context Learning Enables Robot Action Prediction in LLMs. CoRR Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig
2024	J	`jnl`	MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records. CoRR Zekai Wang, Tieming Liu, Bing Yao
2024	J	`jnl`	Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction. IEEE J. Biomed. Health Informatics Zekai Wang, Suhao Chen, Tieming Liu, Bing Yao
2023	J	`jnl`	A High-Reliable Wireless Sensor Network Coverage Scheme in Substations for the Power Internet of Things. Symmetry Yiteng Lin, Tao Zhou, Zekai Wang
2023	A*	`conf`	Better Diffusion Models Further Improve Adversarial Training. ICML Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan
2023	J	`jnl`	Better Diffusion Models Further Improve Adversarial Training. CoRR Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan
2023	A*	`conf`	Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. ICDM Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu
2023	J	`jnl`	Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals. Comput. Biol. Medicine Zekai Wang, Stavros Stavrakis, Bing Yao
2023	J	`jnl`	RVCL: Evaluating the Robustness of Contrastive Learning via Verification. J. Mach. Learn. Res. Zekai Wang, Weiwei Liu
2023	—	`conf`	Sequential Hypergraph Convolution Network for Next Item Recommendation. DASFAA (2) Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu
2023	J	`jnl`	Sequential ensemble learning for next item recommendation. Knowl. Based Syst. Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu
2023	J	`jnl`	Task Variance Regularized Multi-Task Learning. IEEE Trans. Knowl. Data Eng. Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu
2022	J	`jnl`	Hierarchical Deep Learning with Generative Adversarial Network for Automatic Cardiac Diagnosis from ECG Signals. CoRR Zekai Wang, Stavros Stavrakis, Bing Yao
2022	—	`conf`	MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. ACL (Findings) Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie
2022	—	`conf`	Multi-Branching Neural Network for Myocardial Infarction Prediction. CASE Zekai Wang, Chenang Liu, Bing Yao
2022	J	`jnl`	Multi-Branching Temporal Convolutional Network for Sepsis Prediction. IEEE J. Biomed. Health Informatics Zekai Wang, Bing Yao
2022	A*	`conf`	On the Tradeoff Between Robustness and Fairness. NeurIPS Xinsong Ma, Zekai Wang, Weiwei Liu
2022	—	`conf`	Prediction of Diabetic Retinopathy Using Longitudinal Electronic Health Records. CASE Suhao Chen, Zekai Wang, Bing Yao, Tieming Liu
2022	C	`conf`	Resilient Power System Black-start Restoration Model Considering Uncertain Renewable Energy. ICARCV Yi Lin, Meng Li, Yuchen Tang, Wei Lin, Zhiming Chen, Zekai Wang, Tao Ding
2022	A*	`conf`	Robustness Verification for Contrastive Learning. ICML Zekai Wang, Weiwei Liu
2021	—	`conf`	BanditMTL: Bandit-based Multi-task Learning for Text Classification. ACL/IJCNLP (1) Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu
2021	J	`jnl`	FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations. CoRR Yuyang Sun, Zhiyong Zhang, Changzhen Qiu, Liang Wang, Zekai Wang
2021	J	`jnl`	Power System Resilience Enhancement in Typhoons Using a Three-Stage Day-Ahead Unit Commitment. IEEE Trans. Smart Grid Tao Ding, Ming Qu, Zekai Wang, Bo Chen, Chen Chen, Mohammad Shahidehpour
2020	J	`jnl`	Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids. IEEE Trans. Smart Grid Tao Ding, Zekai Wang, Wenhao Jia, Bo Chen, Chen Chen, Mohammad Shahidehpour
2019	A*	`conf`	Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. IJCAI Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang