Kaipeng Zheng

According to our database, Kaipeng Zheng authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning.

Yuting Li, Lai Wei, Kaipeng Zheng, Jingyuan Huang, Linghe Kong, Lichao Sun, Weiran Huang

CoRR, June, 2025

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start.

Lai Wei, Yuting Li, Kaipeng Zheng, Chen Wang, Yue Wang, Linghe Kong, Lichao Sun, Weiran Huang

CoRR, May, 2025

Two-stage Reinforcement Learning Empowered Wireless Semantic Video Transmission.

Mujian Zeng, Wenbo Ma, Kaipeng Zheng, Wenqin Zhuang, Mingkai Chen

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

2024

CrystalX: Ultra-Precision Crystal Structure Resolution and Error Correction Using Deep Learning.

Kaipeng Zheng, Weiran Huang, Wanli Ouyang, Hansen Zhong, Yuqiang Li

CoRR, 2024

Provable Contrastive Continual Learning.

Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OTMatch: Improving Semi-Supervised Learning with Optimal Transport.

Zhiquan Tan, Kaipeng Zheng, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Federated Knowledge Distillation Enabled Image Semantic Communication.

Xinmian Xu, Kaipeng Zheng, Haie Dou, Mingkai Chen, Lei Wang

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Efficient Few-Shot Clinical Task Adaptation with Large Language Models.

Kaipeng Zheng, Weiran Huang, Lichao Sun

CoRR, 2023

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation.

Kaipeng Zheng, Huishuai Zhang, Weiran Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Dynamic Relation-Aware Multiple Instance Learning for Few-Shot Learning.

Kaipeng Zheng, Liu Cheng, Jie Shen

Proceedings of the International Joint Conference on Neural Networks, 2022