Zong Ke

According to our database, Zong Ke authored at least 16 papers between 2024 and 2026.

Collaborative distances:

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

2026

TwistNet-2D: Learning Second-Order Channel Interactions via Spiral Twisting for Texture Recognition.

Junbo Jacob Lian, Feng Xiong, Yujun Sun, Kaichen Ouyang, Zong Ke, Mingyang Yu, Shengwei Fu, Zhong Rui, Yujun Zhang, Huiling Chen

CoRR, February, 2026

Curiosity-driven cooperation for long-tailed multi-label learning.

Canran Xiao, Chuangxin Zhao, Zong Ke, Fei Shen, Li Shen

Neural Networks, 2026

Newton downhill optimizer with application to engineering optimization and breast cancer feature selection.

Wanting Xiao, Junbo Jacob Lian, Kaichen Ouyang, Shaowei Gu, Zong Ke, Dedai Wei, Xinye Sha, Jiawei Wang, Shengwei Fu, Minyu Qiu, Chaoyang Xu

Biomed. Signal Process. Control., 2026

A stable technical feature with GRU-CNN-GA fusion.

Zong Ke, Jiaqing Shen, Xuanyi Zhao, Xinghao Fu, Yang Wang, Zichao Li, Lingjie Liu, Huailing Mu

Appl. Soft Comput., 2026

From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples.

Canran Xiao, Jiabao Dou, Zhiming Lin, Zong Ke, Liwei Hou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN.

Kaichen Ouyang, Zong Ke, Shengwei Fu, Lingjie Liu, Puning Zhao, Dayu Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers.

Wenyu Liu, Tianqiang Huang, Pengfei Zhang, Zong Ke, Minghui Min, Puning Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning.

Canran Xiao, Chuangxin Zhao, Zong Ke, Fei Shen

CoRR, October, 2025

DOA: A Degeneracy Optimization Agent with Adaptive Pose Compensation Capability based on Deep Reinforcement Learning.

Yanbin Li, Canran Xiao, Hongyang He, Shenghai Yuan, Zong Ke, Jiajie Yu, Zixiong Qin, Zhiguo Zhang, Wenzheng Chi, Wei Zhang

CoRR, July, 2025

Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMs.

Wenhao You, Xingjian Diao, Chunhui Zhang, Keyi Kong, Weiyi Wu, Zhongyu Ouyang, Chiyu Ma, Tingxuan Wu, Noah Wei, Zong Ke, Ming Cheng, Soroush Vosoughi, Jiang Gui

CoRR, May, 2025

MIRAGE: Multimodal Immersive Reasoning and Guided Exploration for Red-Team Jailbreak Attacks.

Wenhao You, Bryan Hooi, Yiwei Wang, Youke Wang, Zong Ke, Ming-Hsuan Yang, Zi Huang, Yujun Cai

CoRR, March, 2025

Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models.

Zong Ke, Shicheng Zhou, Yining Zhou, Chia Hong Chang, Rong Zhang

CoRR, January, 2025

Contextual Bandits for Unbounded Context Distributions.

Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Revolutionizing Drug Discovery: Integrating Spatial Transcriptomics with Advanced Computer Vision Techniques.

Zichao Li, Shiqing Qiu, Zong Ke

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm.

Zong Ke, Jingyu Xu, Zizhou Zhang, Yu Cheng, Wenjun Wu

CoRR, 2024

Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems.

Qian Yu, Zhen Xu, Zong Ke

CoRR, 2024