Hao Yang

According to our database, Hao Yang authored at least 48 papers between 2017 and 2024.

Collaborative distances:

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

2024

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation.

Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Knowledge Graph Question Answering with Ambiguous Query.

Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the ACM Web Conference 2023, 2023

Sharpness-Aware Graph Collaborative Filtering.

Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Context-aware Domain Adaptation for Time Series Anomaly Detection.

Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation.

Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Hessian-aware Quantized Node Embeddings for Recommendation.

Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Adversarial Collaborative Filtering for Free.

Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Node Classification Beyond Homophily: Towards a General Solution.

Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Kernel Ridge Regression-Based Graph Dataset Distillation.

Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.

Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Tackling Diverse Minorities in Imbalanced Classification.

Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Visual Analytics for RNN-Based Deep Reinforcement Learning.

Junpeng Wang, Wei Zhang, Hao Yang, Chin-Chia Michael Yeh, Liang Wang

IEEE Trans. Vis. Comput. Graph., 2022

Towards Generating Adversarial Examples on Mixed-type Data.

Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang

CoRR, 2022

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems.

Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Adversarial Graph Perturbations for Recommendations at Scale.

Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.

Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Denoising Self-Attentive Sequential Recommendation.

Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Multi-task Knowledge Graph Representations via Residual Functions.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Few-Shot Link Prediction with Domain-Agnostic Graph Embedding.

Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Normalization of Language Embeddings for Cross-Lingual Alignment.

Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips

Proceedings of the Tenth International Conference on Learning Representations, 2022

Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks.

Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Yimin Zhang, Chinna Kummitha, Verma Abhisar

Proceedings of the Information and Communications Security - 24th International Conference, 2022

OutfitGAN: Learning Compatible Items for Generative Fashion Outfits.

Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction.

Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine.

Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang

Proceedings of the IEEE International Conference on Big Data, 2022

Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection.

Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang

Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

How Does Adversarial Fine-Tuning Benefit BERT?

Javid Ebrahimi, Hao Yang, Wei Zhang

CoRR, 2021

Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection.

Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang

CoRR, 2021

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions.

Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang

Proceedings of the WSDM '21, 2021

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems.

Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network.

Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Adversarial Example Detection Using Latent Neighborhood Graph.

Ahmed Abusnaina, Yuhang Wu, Sunpreet S. Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection.

Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Investigating the Evolution of Tree Boosting Models with Visual Analytics.

Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions.

Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang

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

2020

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study.

Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang

CoRR, 2020

OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning.

Yusan Lin, Maryam Moosaei, Hao Yang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks.

Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation.

Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study.

Dinh-Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Magellan: A Personalized Travel Recommendation System Using Transaction Data.

Konik Kothari, Dhruv Gelda, Wei Zhang, Hao Yang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics.

Junpeng Wang, Wei Zhang, Hao Yang

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019

DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation.

Junpeng Wang, Liang Gou, Wei Zhang, Hao Yang, Han-Wei Shen

IEEE Trans. Vis. Comput. Graph., 2019

DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks.

Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang

IEEE Trans. Vis. Comput. Graph., 2019

motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks.

Manoj Reddy Dareddy, Mahashweta Das, Hao Yang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

GANViz: A Visual Analytics Approach to Understand the Adversarial Game.

Junpeng Wang, Liang Gou, Hao Yang, Han-Wei Shen

IEEE Trans. Vis. Comput. Graph., 2018

Dynamic Graph Representation Learning via Self-Attention Networks.

Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang

CoRR, 2018

2017

Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction.

Sungyong Seo, Jing Huang, Hao Yang, Yan Liu

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017