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Jiangchao Yao
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2020 – today
- 2024
- [j13]Yuhang Zhou
, Jiangchao Yao
Balanced Destruction-Reconstruction Dynamics for Memory-Replay Class Incremental Learning. IEEE Trans. Image Process. 33: 4966-4981 (2024) - [j12]Weiming Mai
Server-Client Collaborative Distillation for Federated Reinforcement Learning. ACM Trans. Knowl. Discov. Data 18(1): 9:1-9:22 (2024) - [j11]Shengyu Zhang
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36(2): 459-474 (2024) - [j10]Tianjie Dai
UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification. IEEE Trans. Medical Imaging 43(8): 2901-2912 (2024) - [c54]Yuhang Zhou, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Low-Rank Knowledge Decomposition for Medical Foundation Models. CVPR 2024: 11611-11620 - [c53]Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. CVPR 2024: 27371-27380 - [c52]Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang:
ReMamber: Referring Image Segmentation with Mamba Twister. ECCV (10) 2024: 108-126 - [c51]Linyu Xing, Mengxi Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities. ICASSP 2024: 1711-1715 - [c50]Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang:
On Harmonizing Implicit Subpopulations. ICLR 2024 - [c49]Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han:
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel. ICLR 2024 - [c48]Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts. ICLR 2024 - [c47]Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang:
Long-tailed Diffusion Models with Oriented Calibration. ICLR 2024 - [c46]Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han:
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. ICLR 2024 - [c45]Jinyi Wang, Fei Ben, Huangjie Zheng, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
MVTexGen: Synthesising 3D Textures Using Multi-View Diffusion. ICME 2024: 1-6 - [c44]Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Diversified Batch Selection for Training Acceleration. ICML 2024 - [c43]Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang:
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization. ICML 2024 - [c42]Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu:
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. ICML 2024 - [c41]Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu:
Mitigating Label Noise on Graphs via Topological Sample Selection. ICML 2024 - [c40]Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. ICML 2024 - [c39]Yuhang Zhou, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Reprogramming Distillation for Medical Foundation Models. MICCAI (11) 2024: 533-543 - [c38]Xu Chen
Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation. WWW (Companion Volume) 2024: 423-432 - [i64]Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu:
Mitigating Label Noise on Graph via Topological Sample Selection. CoRR abs/2403.01942 (2024) - [i63]Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han:
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. CoRR abs/2403.10231 (2024) - [i62]Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang:
ReMamber: Referring Image Segmentation with Mamba Twister. CoRR abs/2403.17839 (2024) - [i61]Yuhang Zhou, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Low-Rank Knowledge Decomposition for Medical Foundation Models. CoRR abs/2404.17184 (2024) - [i60]Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning. CoRR abs/2405.16996 (2024) - [i59]Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts. CoRR abs/2405.18861 (2024) - [i58]Ziqing Fan, Shengchao Hu, Jiangchao Yao, Gang Niu, Ya Zhang, Masashi Sugiyama, Yanfeng Wang:
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization. CoRR abs/2405.18890 (2024) - [i57]Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data. CoRR abs/2405.18972 (2024) - [i56]Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang:
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping. CoRR abs/2405.18983 (2024) - [i55]Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu:
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. CoRR abs/2405.19919 (2024) - [i54]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR abs/2405.20626 (2024) - [i53]Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Diversified Batch Selection for Training Acceleration. CoRR abs/2406.04872 (2024) - [i52]Jianing Zhu, Bo Han, Jiangchao Yao, Jianliang Xu, Gang Niu, Masashi Sugiyama:
Decoupling the Class Label and the Target Concept in Machine Unlearning. CoRR abs/2406.08288 (2024) - [i51]Yuhang Zhou, Zihua Zhao, Haolin Li, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters. CoRR abs/2406.09679 (2024) - [i50]Yuhang Zhou, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Reprogramming Distillation for Medical Foundation Models. CoRR abs/2407.06504 (2024) - [i49]Hangyu Li
Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation. CoRR abs/2409.08598 (2024) - [i48]Haolin Li, Yuhang Zhou, Ziheng Zhao, Siyuan Du, Jiangchao Yao, Weidi Xie, Ya Zhang, Yanfeng Wang:
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models. CoRR abs/2409.19540 (2024) - 2023
- [j9]Jiangchao Yao
Latent Class-Conditional Noise Model. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9964-9980 (2023) - [j8]Zhengxiao Du
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35(2): 1283-1295 (2023) - [j7]Jiangchao Yao
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35(7): 6866-6886 (2023) - [j6]Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang:
Federated Learning under Partially Disjoint Data via Manifold Reshaping. Trans. Mach. Learn. Res. 2023 (2023) - [j5]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c37]Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu:
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. AAAI 2023: 7839-7847 - [c36]Yikun Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang, Weidi Xie:
Zero-shot Composed Text-Image Retrieval. BMVC 2023: 381 - [c35]Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang
Federated Domain Generalization with Generalization Adjustment. CVPR 2023: 3954-3963 - [c34]Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
Class-Balancing Diffusion Models. CVPR 2023: 18434-18443 - [c33]Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang:
Long-Tailed Partial Label Learning via Dynamic Rebalancing. ICLR 2023 - [c32]Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han:
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. ICLR 2023 - [c31]Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han:
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. ICML 2023: 42843-42877 - [c30]Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han:
Exploring Model Dynamics for Accumulative Poisoning Discovery. ICML 2023: 42983-43004 - [c29]Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han:
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. ICML 2023: 43068-43104 - [c28]Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao, Ya Zhang
GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging. MICCAI (3) 2023: 14-24 - [c27]Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang:
Combating Representation Learning Disparity with Geometric Harmonization. NeurIPS 2023 - [c26]Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang:
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data. NeurIPS 2023 - [c25]Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation. NeurIPS 2023 - [c24]Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han:
Combating Bilateral Edge Noise for Robust Link Prediction. NeurIPS 2023 - [c23]Jianing Zhu, Yu Geng, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han:
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. NeurIPS 2023 - [i47]Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang
Long-Tailed Partial Label Learning via Dynamic Rebalancing. CoRR abs/2302.05080 (2023) - [i46]Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang
Latent Class-Conditional Noise Model. CoRR abs/2302.09595 (2023) - [i45]Jianing Zhu, Jiangchao Yao, Tongliang Liu
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. CoRR abs/2303.00250 (2023) - [i44]Shoukai Xu, Jiangchao Yao, Ran Luo, Shuhai Zhang, Zihao Lian, Mingkui Tan, Yaowei Wang:
Towards Efficient Task-Driven Model Reprogramming with Foundation Models. CoRR abs/2304.02263 (2023) - [i43]Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang:
Class-Balancing Diffusion Models. CoRR abs/2305.00562 (2023) - [i42]Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han:
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability. CoRR abs/2306.03715 (2023) - [i41]Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han:
Exploring Model Dynamics for Accumulative Poisoning Discovery. CoRR abs/2306.03726 (2023) - [i40]Yikun Liu, Jiangchao Yao, Ya Zhang, Yanfeng Wang, Weidi Xie:
Zero-shot Composed Text-Image Retrieval. CoRR abs/2306.07272 (2023) - [i39]Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han:
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. CoRR abs/2306.09104 (2023) - [i38]Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning. CoRR abs/2308.01698 (2023) - [i37]Feng Hong, Tianjie Dai, Jiangchao Yao, Ya Zhang
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays. CoRR abs/2308.08853 (2023) - [i36]Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang, Jiangchao Yao, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang, Yanfeng Wang:
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training. CoRR abs/2309.06828 (2023) - [i35]Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han:
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation. CoRR abs/2310.13923 (2023) - [i34]Mengxi Chen, Jiangchao Yao, Linyu Xing, Yu Wang, Ya Zhang
Redundancy-Adaptive Multimodal Learning for Imperfect Data. CoRR abs/2310.14496 (2023) - [i33]Zhihan Zhou, Jiangchao Yao, Feng Hong, Ya Zhang
Combating Representation Learning Disparity with Geometric Harmonization. CoRR abs/2310.17622 (2023) - [i32]Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation. CoRR abs/2310.19001 (2023) - [i31]Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han:
Combating Bilateral Edge Noise for Robust Link Prediction. CoRR abs/2311.01196 (2023) - [i30]Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han:
Long-Range Neural Atom Learning for Molecular Graphs. CoRR abs/2311.01276 (2023) - [i29]Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han:
DeepInception: Hypnotize Large Language Model to Be Jailbreaker. CoRR abs/2311.03191 (2023) - [i28]Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao:
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation. CoRR abs/2312.00078 (2023) - [i27]Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao, Ya Zhang
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification. CoRR abs/2312.11038 (2023) - 2022
- [j4]Xu Chen
Learning on Attribute-Missing Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 740-757 (2022) - [c22]Hao Wu, Jiangchao Yao:
PEAR: Photographic Embedding for Aesthetic Rating. ICASSP 2022: 4038-4042 - [c21]Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. ICDM 2022: 131-140 - [c20]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang
Reliable Adversarial Distillation with Unreliable Teachers. ICLR 2022 - [c19]Zhihan Zhou
Contrastive Learning with Boosted Memorization. ICML 2022: 27367-27377 - [c18]Jiangchao Yao, Feng Wang
Device-cloud Collaborative Recommendation via Meta Controller. KDD 2022: 4353-4362 - [i26]Zhihan Zhou, Jiangchao Yao, Yanfeng Wang, Bo Han, Ya Zhang
Contrastive Learning with Boosted Memorization. CoRR abs/2205.12693 (2022) - [i25]Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang:
Device-Cloud Collaborative Recommendation via Meta Controller. CoRR abs/2207.03066 (2022) - [i24]Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu:
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. CoRR abs/2211.12759 (2022) - [i23]Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. CoRR abs/2212.07224 (2022) - 2021
- [j3]Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang
Decoupled Variational Embedding for Signed Directed Networks. ACM Trans. Web 15(1): 3:1-3:31 (2021) - [c17]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. AAAI 2021: 10192-10200 - [c16]Hao Wu, Jiangchao Yao, Ya Zhang
Cooperative Learning for Noisy Supervision. ICME 2021: 1-6 - [c15]Jiangchao Yao, Feng Wang
Device-Cloud Collaborative Learning for Recommendation. KDD 2021: 3865-3874 - [c14]Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. WSDM 2021: 598-606 - [i22]Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu:
Sparse-Interest Network for Sequential Recommendation. CoRR abs/2102.09267 (2021) - [i21]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. CoRR abs/2103.09468 (2021) - [i20]Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang:
Device-Cloud Collaborative Learning for Recommendation. CoRR abs/2104.06624 (2021) - [i19]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Conditional Transport for Representation Learning. CoRR abs/2105.03746 (2021) - [i18]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. CoRR abs/2106.04928 (2021) - [i17]Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Cooperative Learning for Noisy Supervision. CoRR abs/2108.05092 (2021) - [i16]Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, Hongxia Yang:
MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. CoRR abs/2109.12314 (2021) - [i15]Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang:
Click-through Rate Prediction with Auto-Quantized Contrastive Learning. CoRR abs/2109.13921 (2021) - [i14]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:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR abs/2111.06061 (2021) - 2020
- [i13]Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang:
Decoupled Variational Embedding for Signed Directed Networks. CoRR abs/2008.12450 (2020) - [i12]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. CoRR abs/2011.01623 (2020)
2010 – 2019
- 2019
- [b1]Jiangchao Yao:
Deep learning with noisy supervision. University of Technology Sydney, Australia, 2019 - [j2]Jiangchao Yao
Deep Learning From Noisy Image Labels With Quality Embedding. IEEE Trans. Image Process. 28(4): 1909-1922 (2019) - [c13]Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang
Understanding VAEs in Fisher-Shannon Plane. AAAI 2019: 5917-5924 - [c12]Jiangchao Yao, Hao Wu
Safeguarded Dynamic Label Regression for Noisy Supervision. AAAI 2019: 9103-9110 - [c11]Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CIKM 2019: 679-688 - [c10]Hao Wu
Collaborative Label Correction via Entropy Thresholding. ICDM 2019: 1390-1395 - [c9]Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang
How does Disagreement Help Generalization against Label Corruption? ICML 2019: 7164-7173 - [i11]Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama:
How does Disagreement Help Generalization against Label Corruption? CoRR abs/1901.04215 (2019) - [i10]Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang:
Node Attribute Generation on Graphs. CoRR abs/1907.09708 (2019) - [i9]Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang:
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CoRR abs/1908.10611 (2019) - 2018
- [j1]Jiangchao Yao, Yanfeng Wang, Ya Zhang
Joint Latent Dirichlet Allocation for Social Tags. IEEE Trans. Multim. 20(1): 224-237 (2018) - [c8]Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang
Recommendation with Hybrid Interest Model. ICDM Workshops 2018: 1323-1331 - [c7]Jiajie Wang, Jiangchao Yao, Ya Zhang
Collaborative Learning for Weakly Supervised Object Detection. IJCAI 2018: 971-977 - [c6]Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang
Masking: A New Perspective of Noisy Supervision. NeurIPS 2018: 5841-5851 - [i8]Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang:
Collaborative Learning for Weakly Supervised Object Detection. CoRR abs/1802.03531 (2018) - [i7]Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang:
Degeneration in VAE: in the Light of Fisher Information Loss. CoRR abs/1802.06677 (2018) - [i6]Jiangchao Yao, Ivor W. Tsang, Ya Zhang:
Variational Composite Autoencoders. CoRR abs/1804.04435 (2018) - [i5]Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama:
Masking: A New Perspective of Noisy Supervision. CoRR abs/1805.08193 (2018) - [i4]Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang:
Understanding VAEs in Fisher-Shannon Plane. CoRR abs/1807.03723 (2018) - [i3]Kenan Cui, Xu Chen, Jiangchao Yao, Ya Zhang:
Variational Collaborative Learning for User Probabilistic Representation. CoRR abs/1809.08400 (2018) - [i2]Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor W. Tsang, Masashi Sugiyama:
Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels. CoRR abs/1809.11008 (2018) - 2017
- [c5]Huangjie Zheng, Jiangchao Yao, Ya Zhang
Describing Geographical Characteristics with Social Images. MMM (1) 2017: 115-126 - [c4]Jiangchao Yao, Ya Zhang
Discovering User Interests from Social Images. MMM (2) 2017: 160-172 - [i1]Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang:
Deep Learning from Noisy Image Labels with Quality Embedding. CoRR abs/1711.00583 (2017) - 2016
- [c3]Zhiwei Rao, Jiangchao Yao, Ya Zhang, Rui Zhang:
Preference Aware Recommendation Based on Categorical Information. ICMLA 2016: 865-870 - 2015
- [c2]Jiangchao Yao, Ya Zhang
Joint Latent Dirichlet Allocation for non-iid social tags. ICME 2015: 1-6 - [c1]Xiaoyu Chen, Jiangchao Yao, Yanfeng Wang, Ya Zhang
Online Learning Algorithm for Collective LDA. ICMLA 2015: 251-258
Coauthor Index
[j12] [c53] [c49] [c46] [c42] [c41] [i64] [i63] [i60] [i57] [i55] [i52] [i49] [j9] [c37] [c32] [c31] [c30] [c29] [c27] [c26] [c24] [c23] [i46] [i45] [i42] [i41] [i39] [i35] [i33] [i31] [i30] [i29] [c20] [c19] [c18] [i26] [i25] [i24] [c17] [c15] [i21] [i20] [i18] [i16] [i15] [c9] [i11] [c6] [i5] [i2]
[j13] [j10] [c54] [c53] [c52] [c51] [c50] [c48] [c47] [c45] [c44] [c43] [c40] [c39] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i53] [i51] [i50] [i48] [j6] [c36] [c35] [c33] [c28] [c27] [c26] [c25] [i47] [i40] [i38] [i37] [i36] [i34] [i33] [i32] [i27] [c21] [c19] [i26] [i23] [j3] [c16] [i17] [i13] [c10] [j1] [c8] [c1]
[j13] [j12] [j10] [c54] [c53] [c52] [c51] [c50] [c48] [c47] [c45] [c44] [c43] [c40] [c39] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i53] [i51] [i50] [i48] [j9] [j6] [j5] [c36] [c35] [c34] [c33] [c28] [c27] [c26] [c25] [i47] [i46] [i43] [i40] [i38] [i37] [i36] [i34] [i33] [i32] [i27] [j4] [c21] [c19] [i26] [i23] [j3] [c16] [i19] [i17] [i15] [i13] [i12] [j2] [c13] [c12] [c10] [i10] [j1] [c8] [c7] [c6] [i8] [i7] [i6] [i5] [i4] [i3] [c5] [c4] [i1] [c3] [c2] [c1]
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last updated on 2024-11-15 19:33 CET by the dblp team
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