Jiangchao Yao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
18
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach. | Haolin Li, Shuyang Jiang, Ruipeng Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2026 | WWW | Trustworthy Foundation Models for Web Intelligence: Causal Perspectives and Challenges. | Haoang Chi, Qi Wang, Jiantong Jiang, Jiangchao Yao, Feng Liu, Bo Han |
| 2025 | AAAI | Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. | Hui Fang, Yang Gao, Peng Zhang, Jiangchao Yao, Hongyang Chen, Haishuai Wang |
| 2025 | AAAI | MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance. | Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang |
| 2025 | CVPR | Multi-modal Medical Diagnosis via Large-small Model Collaboration. | Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang |
| 2025 | CVPR | LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant. | Yikun Liu, Yajie Zhang, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiangchao Yao, Yanfeng Wang, Weidi Xie |
| 2025 | ICCV | Differential-Informed Sample Selection Accelerates Multimodal Contrastive Learning. | Zihua Zhao, Feng Hong, Mengxi Chen, Pengyi Chen, Benyuan Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2025 | ICLR | Fast and Accurate Blind Flexible Docking. | Zizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin, Bo Han |
| 2025 | ICML | CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration. | Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu, Minmin Sun, Shuai Xiao, Yong Li, Junyang Lin, Jiangchao Yao |
| 2025 | ICML | MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition. | Yuhuan Yang, Chaofan Ma, Zhenjie Mao, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2025 | ICML | From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information? | Zhanke Zhou, Xiao Feng, Zhaocheng Zhu, Jiangchao Yao, Sanmi Koyejo, Bo Han |
| 2025 | IJCAI | Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition. | Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han |
| 2025 | WWW | Trustworthy AI under Imperfect Web Data. | Jiangchao Yao, Feng Liu, Bo Han |
| 2024 | CVPR | Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. | Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang |
| 2024 | CVPR | Low-Rank Knowledge Decomposition for Medical Foundation Models. | Yuhang Zhou, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2024 | ECCV | ReMamber: Referring Image Segmentation with Mamba Twister. | Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang |
| 2024 | ICASSP | Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities. | Linyu Xing, Mengxi Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2024 | ICLR | On Harmonizing Implicit Subpopulations. | Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang |
| 2024 | ICLR | Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel. | Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han |
| 2024 | ICLR | Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts. | Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2024 | ICLR | Long-tailed Diffusion Models with Oriented Calibration. | Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang |
| 2024 | ICLR | Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. | Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han |
| 2024 | ICML | Diversified Batch Selection for Training Acceleration. | Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang |
| 2024 | ICML | Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization. | Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang |
| 2024 | ICML | Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. | Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu |
| 2024 | ICML | Mitigating Label Noise on Graphs via Topological Sample Selection. | Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu |
| 2024 | ICML | Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. | Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2024 | MICCAI | Reprogramming Distillation for Medical Foundation Models. | Yuhang Zhou, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2024 | WWW | 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 |
| 2023 | AAAI | 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 |
| 2023 | BMVC | Zero-shot Composed Text-Image Retrieval. | Yikun Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang, Weidi Xie |
| 2023 | CVPR | Class-Balancing Diffusion Models. | Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang |
| 2023 | CVPR | Federated Domain Generalization with Generalization Adjustment. | Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang |
| 2023 | ICLR | Long-Tailed Partial Label Learning via Dynamic Rebalancing. | Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang |
| 2023 | ICLR | Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. | Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han |
| 2023 | ICML | On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. | Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han |
| 2023 | ICML | 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 |
| 2023 | ICML | Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. | Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han |
| 2023 | MICCAI | GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging. | Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2022 | ICASSP | PEAR: Photographic Embedding for Aesthetic Rating. | Hao Wu, Jiangchao Yao |
| 2022 | ICDM | FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. | Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian |
| 2022 | ICLR | Reliable Adversarial Distillation with Unreliable Teachers. | Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang |
| 2022 | ICML | Contrastive Learning with Boosted Memorization. | Zhihan Zhou, Jiangchao Yao, Yanfeng Wang, Bo Han, Ya Zhang |
| 2022 | KDD | Device-cloud Collaborative Recommendation via Meta Controller. | Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang |
| 2021 | AAAI | Learning with Group Noise. | Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han |
| 2021 | KDD | Device-Cloud Collaborative Learning for Recommendation. | Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang |
| 2021 | WSDM | Sparse-Interest Network for Sequential Recommendation. | Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu |
| 2019 | AAAI | Safeguarded Dynamic Label Regression for Noisy Supervision. | Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun |
| 2019 | AAAI | Understanding VAEs in Fisher-Shannon Plane. | Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang |
| 2019 | CIKM | 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 |
| 2019 | ICDM | Collaborative Label Correction via Entropy Thresholding. | Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang |
| 2019 | ICML | How does Disagreement Help Generalization against Label Corruption? | Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama |
| 2018 | ICDM | Recommendation with Hybrid Interest Model. | Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang |
| 2018 | IJCAI | Collaborative Learning for Weakly Supervised Object Detection. | Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang |
| 2017 | MMM | Discovering User Interests from Social Images. | Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jun Sun |
| 2017 | MMM | Describing Geographical Characteristics with Social Images. | Huangjie Zheng, Jiangchao Yao, Ya Zhang |
| 2016 | ICMLA | Preference Aware Recommendation Based on Categorical Information. | Zhiwei Rao, Jiangchao Yao, Ya Zhang, Rui Zhang |
| 2015 | ICMLA | Online Learning Algorithm for Collective LDA. | Xiaoyu Chen, Jiangchao Yao, Yanfeng Wang, Ya Zhang |