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ORCIDHao Yang 0007
Person information
- affiliation: Visa Research, Palo Alto, CA, USA
Other persons with the same name
- Hao Yang — disambiguation page
- Hao Yang 0001
![[0000-0003-1914-084X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1914-084X")
— Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China (and 2 more) - Hao Yang 0002 — Yancheng Teachers University, School of Information Engineering, China
- Hao Yang 0003 — Nantong University, China (and 2 more)
- Hao Yang 0004 — Nokia Research Center, White Plains, NY, USA (and 2 more)
- Hao Yang 0005 — Soochow University, Robotics and Microsystems Center, College of Mechanical and Electrical Engineering, China (and 1 more)
- Hao Yang 0006 — Huawei Technologies, 2012 Labs, Beijing, China (and 2 more)
- Hao Yang 0008 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, China
- Hao Yang 0009 — Beijing Academy of Agriculture and Forestry Sciences, Beijing Research Center for Information Technology in Agriculture, Key Laboratory of Quantitative Remote Sensing in Agriculture, Beijing, China
- Hao Yang 0010 — Nuctech Company Ltd., R&D Center of Artificial Intelligent, Beijing, China (and 1 more)
- Hao Yang 0011 — Worcester Polytechnic Institute, Robotics Engineering Department, Worcester, MA, USA
- Hao Yang 0012 — Anhui University of Technology, School of Mechanical Engineering, Maanshan, China
- Hao Yang 0013 — State Grid Jiangxi Electric Power Research Institute, Nanchang, Chian
- Hao Yang 0014 — Shanghai Jiao tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
- Hao Yang 0015 — Southeast University, School of Computer Science and Engineering, China Key Laboratory of Computer Network and Information Integration, Nanjing, China
- Hao Yang 0016 — Beihang University, School of Electronics and Information Engineering, Beijing, China
- Hao Yang 0017 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
- Hao (Frank) Yang (aka: Hao Yang 0018) — University of Washington, Department of Civil and Environmental Engineering, Seattle, WA, USA (and 2 more)
- Hao Yang 0019 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China (and 1 more)
- Hao Yang 0020 — University of Electronic Science and Technology of China (UESTC), Chengdu, China
- Hao Yang 0021 — Guangdong Polytechnic Normal University, School of Automation, Guangzhou, China (and 1 more)
- Hao Yang 0022 — Chengdu University of Information Technology, School of Computing Science, Chengdu, China
- Hao Yang 0023 — University of Leicester, School of Engineering, Aerospace and Computational Engineering Research Group, Leicester, UK
- Hao Yang 0024 — Guangdong University of Technology, College of Computer, Guangzhou, China
- Hao Yang 0025 — McMaster University, Department of Civil Engineering, Hamilton, Canada (and 3 more)
- Hao Yang 0026 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China
- Hao Yang 0027 — Nanchang University, School of Information Engineering, Nanchang, China
- Hao Yang 0028 — Fuzhou University, College of Electrical Engineering and Automation, Fujian Key Laboratory of Medical Instrumentation and Pharmaceutical Technology, Fuzhou, China
- Hao Yang 0029 — University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, Los Angeles, CA, USA
- Hao Yang 0030 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Hao Yang 0031 — Army Academy of Armored Forces, Department of Arms and Control Engineering, Beijing, China
- Hao Yang 0032 — Beihang University, School of Automation Sciences and Electrical Engineering, Beijing, China
- Hao Yang 0033 — Amazon, Seattle, WA, USA (and 1 more)
- Hao Yang 0034 — South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
- Hao Yang 0035 — Sichuan University, West China Hospital, Key Lab of Transplant Engineering and Immunology, Chengdu, China
- Hao Yang 0036 — Microsoft Research Asia, Visual Computing Group, Beijing, China (and 1 more)
- Hao Yang 0037 — Alibaba Group, Hangzhou, China
- Hao Yang 0039 — Amazon, Vancouver, Canada (and 1 more)
- Hao Yang 0040 — Yunnan University, School of Information Science and Engineering, Kunming, China
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2020 – today
- 2024
[c41]Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang:
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) 2024: 4575-4589- [c40]Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) 2024: 155-167 - [i21]Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR abs/2401.15874 (2024) - 2023
- [c39]Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu:
Tackling Diverse Minorities in Imbalanced Classification. CIKM 2023: 1178-1187 - [c38]Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang:
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI 2023: 2068-2076 - [c37]Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD 2023: 2850-2861 - [c36]Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong:
Node Classification Beyond Homophily: Towards a General Solution. KDD 2023: 2862-2873 - [c35]Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong:
From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS 2023 - [c34]Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang:
Adversarial Collaborative Filtering for Free. RecSys 2023: 245-255 - [c33]Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang:
Hessian-aware Quantized Node Embeddings for Recommendation. RecSys 2023: 757-762 - [c32]Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang:
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. RecSys 2023: 791-797 - [c31]Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu:
Context-aware Domain Adaptation for Time Series Anomaly Detection. SDM 2023: 676-684 - [c30]Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang:
Sharpness-Aware Graph Collaborative Filtering. SIGIR 2023: 2369-2373 - [c29]Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Knowledge Graph Question Answering with Ambiguous Query. WWW 2023: 2477-2486 - [i20]Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu:
Context-aware Domain Adaptation for Time Series Anomaly Detection. CoRR abs/2304.07453 (2023) - [i19]Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang:
Sharpness-Aware Graph Collaborative Filtering. CoRR abs/2307.08910 (2023) - [i18]Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang:
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. CoRR abs/2308.10347 (2023) - [i17]Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang:
Adversarial Collaborative Filtering for Free. CoRR abs/2308.13541 (2023) - [i16]Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu:
Tackling Diverse Minorities in Imbalanced Classification. CoRR abs/2308.14838 (2023) - [i15]Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang:
Hessian-aware Quantized Node Embeddings for Recommendation. CoRR abs/2309.01032 (2023) - [i14]Sunpreet S. Arora, Andrew Beams, Panagiotis Chatzigiannis, Sebastian Meiser, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Harshal Shah, Yizhen Wang, Yuhang Wu, Hao Yang, Mahdi Zamani:
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation. CoRR abs/2310.04546 (2023) - 2022
- [j4]Junpeng Wang, Wei Zhang, Hao Yang, Chin-Chia Michael Yeh, Liang Wang:
Visual Analytics for RNN-Based Deep Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. 28(12): 4141-4155 (2022) - [c28]Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang:
Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection. AMLTS 2022 - [c27]Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang:
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. IEEE Big Data 2022: 835-843 - [c26]Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CIKM 2022: 4199-4203 - [c25]Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang:
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops 2022: 2272-2276 - [c24]Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Yimin Zhang, Chinna Kummitha, Verma Abhisar:
Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks. ICICS 2022: 508-524 - [c23]Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips:
Normalization of Language Embeddings for Cross-Lingual Alignment. ICLR 2022 - [c22]Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun:
Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. ICMLA 2022: 659-664 - [c21]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram:
Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) 2022: 262-275 - [c20]Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang:
Denoising Self-Attentive Sequential Recommendation. RecSys 2022: 92-101 - [c19]Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang:
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. RecSys 2022: 257-267 - [c18]Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang:
Adversarial Graph Perturbations for Recommendations at Scale. SIGIR 2022: 1854-1858 - [c17]Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang:
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. WWW 2022: 1955-1964 - [i13]Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. CoRR abs/2201.04792 (2022) - [i12]Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang:
Towards Generating Adversarial Examples on Mixed-type Data. CoRR abs/2210.09405 (2022) - [i11]Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CoRR abs/2212.01440 (2022) - [i10]Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang:
Denoising Self-attentive Sequential Recommendation. CoRR abs/2212.04120 (2022) - [i9]Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang:
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. CoRR abs/2212.04540 (2022) - 2021
- [c16]Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang:
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. AAAI 2021: 2969-2977 - [c15]Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang:
Investigating the Evolution of Tree Boosting Models with Visual Analytics. PacificVis 2021: 186-195 - [c14]Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. IEEE BigData 2021: 938-947 - [c13]Ahmed Abusnaina, Yuhang Wu, Sunpreet S. Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen:
Adversarial Example Detection Using Latent Neighborhood Graph. ICCV 2021: 7667-7676 - [c12]Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang:
Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. RecSys 2021: 453-462 - [c11]Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang:
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. SIGIR 2021: 614-623 - [c10]Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang:
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. WSDM 2021: 914-917 - [i8]Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang:
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. CoRR abs/2108.06783 (2021) - [i7]Javid Ebrahimi, Hao Yang, Wei Zhang:
How Does Adversarial Fine-Tuning Benefit BERT? CoRR abs/2108.13602 (2021) - 2020
- [c9]Junpeng Wang, Wei Zhang, Hao Yang:
SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics. PacificVis 2020: 51-60 - [c8]Konik Kothari, Dhruv Gelda, Wei Zhang, Hao Yang:
Magellan: A Personalized Travel Recommendation System Using Transaction Data. CIKM 2020: 2565-2572 - [c7]Dinh-Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang:
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. CVPR Workshops 2020: 3548-3556 - [c6]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR 2020: 1081-1090 - [c5]Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram:
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. SIGIR 2020: 1279-1288 - [c4]Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang:
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. WSDM 2020: 519-527 - [c3]Yusan Lin, Maryam Moosaei, Hao Yang:
OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning. WWW 2020: 77-87 - [i6]Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang:
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. CoRR abs/2003.11145 (2020) - [i5]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR abs/2005.10473 (2020) - [i4]Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram:
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. CoRR abs/2006.03736 (2020) - [i3]Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang:
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. CoRR abs/2012.15386 (2020)
2010 – 2019
- 2019
- [j3]Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang:
DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks. IEEE Trans. Vis. Comput. Graph. 25(1): 288-298 (2019) - [j2]Junpeng Wang, Liang Gou, Wei Zhang, Hao Yang, Han-Wei Shen:
DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation. IEEE Trans. Vis. Comput. Graph. 25(6): 2168-2180 (2019) - [c2]Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. IEEE BigData 2019: 1052-1059 - [i2]Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. CoRR abs/1908.08227 (2019) - 2018
- [j1]Junpeng Wang, Liang Gou, Hao Yang, Han-Wei Shen:
GANViz: A Visual Analytics Approach to Understand the Adversarial Game. IEEE Trans. Vis. Comput. Graph. 24(6): 1905-1917 (2018) - [i1]Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang:
Dynamic Graph Representation Learning via Self-Attention Networks. CoRR abs/1812.09430 (2018) - 2017
- [c1]Sungyong Seo, Jing Huang, Hao Yang, Yan Liu:
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction. RecSys 2017: 297-305
Coauthor Index
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