Hao Yang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 31

Top Topics

Anomaly Detection

Graph Representations

Active Learning Framework

Top Venues

Publications

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)
Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) (2024)
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 (2023)
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 (2023)
Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
Adversarial Collaborative Filtering for Free. CoRR (2023)
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
Sharpness-Aware Graph Collaborative Filtering. CoRR (2023)
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)
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 (2023)
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)
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)
Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD (2023)
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)
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)
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)
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)
Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong
Node Classification Beyond Homophily: Towards a General Solution. KDD (2023)
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)
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 (2022)
Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. WWW (2022)
Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun
Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. ICMLA (2022)
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)
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 (2022)
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) (2022)
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)
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)
Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops (2022)
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)
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. Big Data (2022)
Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram
Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) (2022)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
Adversarial Graph Perturbations for Recommendations at Scale. SIGIR (2022)
Ahmed Abusnaina, Yuhang Wu, Sunpreet S. Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen
Adversarial Example Detection Using Latent Neighborhood Graph. ICCV (2021)