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2020 – today
- 2023
[j5]Zhengxiao Du
, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang:
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35(2): 1283-1295 (2023)- [i29]Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang:
Long-Tailed Partial Label Learning via Dynamic Rebalancing. CoRR abs/2302.05080 (2023) - [i28]Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang:
Latent Class-Conditional Noise Model. CoRR abs/2302.09595 (2023) - [i27]Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han:
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. CoRR abs/2303.00250 (2023) - 2022
- [j4]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
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, Qi Tian:
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. ICDM 2022: 131-140 - [c20]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. ICLR 2022 - [c19]Zhihan Zhou, Jiangchao Yao, Yan-Feng Wang, Bo Han, Ya Zhang:
Contrastive Learning with Boosted Memorization. ICML 2022: 27367-27377 - [c18]Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang:
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, Qi Tian:
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. CoRR abs/2212.07224 (2022) - 2021
- [j3]Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang:
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, Yanfeng Wang:
Cooperative Learning for Noisy Supervision. ICME 2021: 1-6 - [c15]Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang:
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
- [j2]Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang:
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, Jia Wang:
Understanding VAEs in Fisher-Shannon Plane. AAAI 2019: 5917-5924 - [c12]Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun:
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, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang:
Collaborative Label Correction via Entropy Thresholding. ICDM 2019: 1390-1395 - [c9]Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama:
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, Jun Sun, Jun Zhou:
Joint Latent Dirichlet Allocation for Social Tags. IEEE Trans. Multim. 20(1): 224-237 (2018) - [c8]Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Recommendation with Hybrid Interest Model. ICDM Workshops 2018: 1323-1331 - [c7]Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang:
Collaborative Learning for Weakly Supervised Object Detection. IJCAI 2018: 971-977 - [c6]Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama:
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, Ivor W. Tsang, Jun Sun:
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, Zhe Xu, Jun Sun, Jun Zhou, Xiao Gu:
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
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last updated on 2023-03-26 00:29 CET by the dblp team
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