Jiangchao Yao

According to our database, Jiangchao Yao authored at least 73 papers between 2015 and 2024.

Collaborative distances:

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

2024

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems.

Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu

IEEE Trans. Knowl. Data Eng., February, 2024

Server-Client Collaborative Distillation for Federated Reinforcement Learning.

Weiming Mai, Jiangchao Yao, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han

ACM Trans. Knowl. Discov. Data, January, 2024

ReMamber: Referring Image Segmentation with Mamba Twister.

Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang

CoRR, 2024

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs.

Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han

CoRR, 2024

Mitigating Label Noise on Graph via Topological Sample Selection.

Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu

CoRR, 2024

2023

Latent Class-Conditional Noise Model.

Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.

Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

IEEE Trans. Knowl. Data Eng., July, 2023

CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning.

Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang

IEEE Trans. Knowl. Data Eng., 2023

UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification.

Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang, Yanfeng Wang

CoRR, 2023

Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation.

Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao

CoRR, 2023

DeepInception: Hypnotize Large Language Model to Be Jailbreaker.

Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han

CoRR, 2023

Long-Range Neural Atom Learning for Molecular Graphs.

Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

CoRR, 2023

Combating Bilateral Edge Noise for Robust Link Prediction.

Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han

CoRR, 2023

Combating Representation Learning Disparity with Geometric Harmonization.

Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang

CoRR, 2023

Redundancy-Adaptive Multimodal Learning for Imperfect Data.

Mengxi Chen, Jiangchao Yao, Linyu Xing, Yu Wang, Ya Zhang, Yanfeng Wang

CoRR, 2023

Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation.

Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han

CoRR, 2023

UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training.

Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang

CoRR, 2023

Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays.

Feng Hong, Tianjie Dai, Jiangchao Yao, Ya Zhang, Yanfeng Wang

CoRR, 2023

Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning.

Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Yanfeng Wang

CoRR, 2023

Towards Efficient Task-Driven Model Reprogramming with Foundation Models.

Shoukai Xu, Jiangchao Yao, Ran Luo, Shuhai Zhang, Zihao Lian, Mingkui Tan, Yaowei Wang

CoRR, 2023

Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation.

Jianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han

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

Combating Bilateral Edge Noise for Robust Link Prediction.

Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han

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

Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation.

Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang

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

Federated Learning with Bilateral Curation for Partially Class-Disjoint Data.

Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang

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

Combating Representation Learning Disparity with Geometric Harmonization.

Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang

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

GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging.

Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability.

Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han

Proceedings of the International Conference on Machine Learning, 2023

Exploring Model Dynamics for Accumulative Poisoning Discovery.

Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han

Proceedings of the International Conference on Machine Learning, 2023

On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation.

Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han

Proceedings of the International Conference on Machine Learning, 2023

Combating Exacerbated Heterogeneity for Robust Models in Federated Learning.

Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Long-Tailed Partial Label Learning via Dynamic Rebalancing.

Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Federated Domain Generalization with Generalization Adjustment.

Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Class-Balancing Diffusion Models.

Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Zero-shot Composed Text-Image Retrieval.

Yikun Liu, Jiangchao Yao, Ya Zhang, Yan-Feng Wang, Weidi Xie

Proceedings of the 34th British Machine Vision Conference 2023, 2023

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension.

Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning on Attribute-Missing Graphs.

Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Device-cloud Collaborative Recommendation via Meta Controller.

Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Contrastive Learning with Boosted Memorization.

Zhihan Zhou, Jiangchao Yao, Yan-Feng Wang, Bo Han, Ya Zhang

Proceedings of the International Conference on Machine Learning, 2022

Reliable Adversarial Distillation with Unreliable Teachers.

Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation.

Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian

Proceedings of the IEEE International Conference on Data Mining, 2022

PEAR: Photographic Embedding for Aesthetic Rating.

Hao Wu, Jiangchao Yao

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Decoupled Variational Embedding for Signed Directed Networks.

Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang

ACM Trans. Web, 2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.

Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

CoRR, 2021

Click-through Rate Prediction with Auto-Quantized Contrastive Learning.

Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang

CoRR, 2021

MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation.

Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, Hongxia Yang

CoRR, 2021

Contrastive Conditional Transport for Representation Learning.

Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou

CoRR, 2021

Sparse-Interest Network for Sequential Recommendation.

Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu

Proceedings of the WSDM '21, 2021

Device-Cloud Collaborative Learning for Recommendation.

Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Cooperative Learning for Noisy Supervision.

Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Learning with Group Noise.

Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Deep learning with noisy supervision

Jiangchao Yao

PhD thesis, 2019

Deep Learning From Noisy Image Labels With Quality Embedding.

Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang

IEEE Trans. Image Process., 2019

Node Attribute Generation on Graphs.

Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang

CoRR, 2019

How does Disagreement Help Generalization against Label Corruption?

Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama

Proceedings of the 36th International Conference on Machine Learning, 2019

Collaborative Label Correction via Entropy Thresholding.

Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks.

Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Understanding VAEs in Fisher-Shannon Plane.

Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Safeguarded Dynamic Label Regression for Noisy Supervision.

Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Joint Latent Dirichlet Allocation for Social Tags.

Jiangchao Yao, Yanfeng Wang, Ya Zhang, Jun Sun, Jun Zhou

IEEE Trans. Multim., 2018

Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels.

Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor W. Tsang, Masashi Sugiyama

CoRR, 2018

Variational Collaborative Learning for User Probabilistic Representation.

Kenan Cui, Xu Chen, Jiangchao Yao, Ya Zhang

CoRR, 2018

Understanding VAEs in Fisher-Shannon Plane.

Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang

CoRR, 2018

Variational Composite Autoencoders.

Jiangchao Yao, Ivor W. Tsang, Ya Zhang

CoRR, 2018

Degeneration in VAE: in the Light of Fisher Information Loss.

Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang

CoRR, 2018

Masking: A New Perspective of Noisy Supervision.

Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Collaborative Learning for Weakly Supervised Object Detection.

Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recommendation with Hybrid Interest Model.

Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Deep Learning from Noisy Image Labels with Quality Embedding.

Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang

CoRR, 2017

Describing Geographical Characteristics with Social Images.

Huangjie Zheng, Jiangchao Yao, Ya Zhang

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Discovering User Interests from Social Images.

Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jun Sun

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

2016

Preference Aware Recommendation Based on Categorical Information.

Zhiwei Rao, Jiangchao Yao, Ya Zhang, Rui Zhang

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Online Learning Algorithm for Collective LDA.

Xiaoyu Chen, Jiangchao Yao, Yanfeng Wang, Ya Zhang

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Joint Latent Dirichlet Allocation for non-iid social tags.

Jiangchao Yao, Ya Zhang, Zhe Xu, Jun Sun, Jun Zhou, Xiao Gu

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015