Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-Supervised Medical Image Segmentation

[AAAI 2024] Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng

Federated Learning via Input-Output Collaborative Distillation

[AAAI 2024] Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Ya, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann

Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

[AAAI 2024] Qian Dai, Dong Wei, Hong Liu , Jinghan Sun, Liansheng Wang, Yefeng Zheng

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries

[AAAI 2024] Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal

[AAAI 2024] Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng

Pre-trained Online Contrastive Learning for Insurance Fraud Detection

[AAAI 2024] Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

ClassFormer: Exploring Class-aware Dependency with Transformer for Medical Image Segmentation

[AAAI 2023] Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

[AAAI 2023] Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng

Combating Mode Collapse in GANs via Manifold Entropy Estimation

[AAAI 2023] Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

Semi-supervised Credit Card Fraud Detection via Attribute-driven Graph Representation

[AAAI 2023] Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng

Identify Event Causality with Knowledge and Analogy

[AAAI 2023] Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

[IJCAI 2022] Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng

Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning

[AAAI 2022] Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng

"My nose is running. ""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics

[IJCAI 2022] Wenge Liu, Jianheng Tang, Hao Wang, Yi Cheng, Yafei Liu, Ruihui Zhao, Xi Chen, Yefeng Zheng, Xiaodan Liang

Towards Joint Intent Detection and Slot Filling via Higher-order Attention

[IJCAI 2022] Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou

Alternative Baselines for Low-Shot 3D Medical Image Segmentation—An Atlas Perspective

[AAAI 2021] Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

[AAAI 2021] Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding

[IJCAI 2021] Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng

VideoGAN: Generative Adversarial Networks for Video Domain Adaptation

[AAAI 2020] Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift

[IJCAI 2020] Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng

Generative Adversarial Networks for Video-to-Video Domain Adaptation

[AAAI 2020] Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng