Hao Yang - RankMe

69 papers A* 16A 14B 3C 2Journal 25Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Function-to-Style Guidance of LLMs for Code Translation. ICML Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang
2024	—	`conf`	Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang
2024	A	`conf`	Graph Anomaly Detection with Adaptive Node Mixup. CIKM Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong
2024	—	`conf`	Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation. ACSAC Workshops 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
2024	—	`conf`	Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024	J	`jnl`	Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2023	A	`conf`	Adversarial Collaborative Filtering for Free. RecSys Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
2023	J	`jnl`	Adversarial Collaborative Filtering for Free. CoRR Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang
2023	A	`conf`	Context-aware Domain Adaptation for Time Series Anomaly Detection. SDM Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023	J	`jnl`	Context-aware Domain Adaptation for Time Series Anomaly Detection. CoRR Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023	A	`conf`	Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. RecSys Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang
2023	J	`jnl`	Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. CoRR Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang
2023	A*	`conf`	From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A	`conf`	Hessian-aware Quantized Node Embeddings for Recommendation. RecSys Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023	J	`jnl`	Hessian-aware Quantized Node Embeddings for Recommendation. CoRR Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023	A*	`conf`	Kernel Ridge Regression-Based Graph Dataset Distillation. KDD Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A*	`conf`	Knowledge Graph Question Answering with Ambiguous Query. WWW Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A*	`conf`	Node Classification Beyond Homophily: Towards a General Solution. KDD Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong
2023	J	`jnl`	Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation. CoRR 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
2023	A*	`conf`	Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
2023	A*	`conf`	Sharpness-Aware Graph Collaborative Filtering. SIGIR Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
2023	J	`jnl`	Sharpness-Aware Graph Collaborative Filtering. CoRR Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang
2023	A	`conf`	Tackling Diverse Minorities in Imbalanced Classification. CIKM Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023	J	`jnl`	Tackling Diverse Minorities in Imbalanced Classification. CoRR Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2022	A*	`conf`	Adversarial Graph Perturbations for Recommendations at Scale. SIGIR Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
2022	A	`conf`	Denoising Self-Attentive Sequential Recommendation. RecSys Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022	J	`jnl`	Denoising Self-attentive Sequential Recommendation. CoRR Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022	—	`conf`	Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection. AMLTS Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
2022	C	`conf`	Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. ICMLA Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun
2022	J	`jnl`	Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. CoRR Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
2022	A*	`conf`	Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. WWW Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
2022	—	`conf`	Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram
2022	A*	`conf`	Normalization of Language Embeddings for Cross-Lingual Alignment. ICLR Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips
2022	—	`conf`	OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang
2022	J	`jnl`	SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CoRR Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
2022	C	`conf`	Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks. ICICS Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Yimin Zhang, Chinna Kummitha, Verma Abhisar
2022	A	`conf`	SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CIKM Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
2022	A	`conf`	TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. RecSys Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022	J	`jnl`	TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. CoRR Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
2022	J	`jnl`	Towards Generating Adversarial Examples on Mixed-type Data. CoRR Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
2022	J	`jnl`	Visual Analytics for RNN-Based Deep Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. Junpeng Wang, Wei Zhang, Hao Yang, Chin-Chia Michael Yeh, Liang Wang
2022	B	`conf`	bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. IEEE Big Data Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang
2021	A*	`conf`	Adversarial Example Detection Using Latent Neighborhood Graph. ICCV Ahmed Abusnaina, Yuhang Wu, Sunpreet S. Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen
2021	A*	`conf`	Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. AAAI Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang
2021	J	`jnl`	Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection. CoRR Yuhang Wu, Mengting Gu, Lan Wang, Yusan Lin, Fei Wang, Hao Yang
2021	—	`conf`	Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. IEEE BigData Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
2021	A	`conf`	GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. WSDM Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang
2021	J	`jnl`	How Does Adversarial Fine-Tuning Benefit BERT? CoRR Javid Ebrahimi, Hao Yang, Wei Zhang
2021	B	`conf`	Investigating the Evolution of Tree Boosting Models with Visual Analytics. PacificVis Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang
2021	A*	`conf`	Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. SIGIR Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
2021	A	`conf`	Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. RecSys Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang
2020	—	`conf`	Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. CVPR Workshops Dinh-Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang
2020	J	`jnl`	Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study. CoRR Luan Nguyen, Sunpreet S. Arora, Yuhang Wu, Hao Yang
2020	J	`jnl`	Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. CoRR Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang
2020	A	`conf`	DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. WSDM Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
2020	A*	`conf`	GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. SIGIR Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
2020	J	`jnl`	GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. CoRR Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
2020	A	`conf`	Magellan: A Personalized Travel Recommendation System Using Transaction Data. CIKM Konik Kothari, Dhruv Gelda, Wei Zhang, Hao Yang
2020	A*	`conf`	OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning. WWW Yusan Lin, Maryam Moosaei, Hao Yang
2020	B	`conf`	SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics. PacificVis Junpeng Wang, Wei Zhang, Hao Yang
2020	A*	`conf`	Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
2020	J	`jnl`	Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram
2019	J	`jnl`	DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks. IEEE Trans. Vis. Comput. Graph. Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang
2019	J	`jnl`	DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation. IEEE Trans. Vis. Comput. Graph. Junpeng Wang, Liang Gou, Wei Zhang, Hao Yang, Han-Wei Shen
2019	—	`conf`	motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. IEEE BigData Manoj Reddy Dareddy, Mahashweta Das, Hao Yang
2019	J	`jnl`	motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. CoRR Manoj Reddy Dareddy, Mahashweta Das, Hao Yang
2018	J	`jnl`	Dynamic Graph Representation Learning via Self-Attention Networks. CoRR Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
2018	J	`jnl`	GANViz: A Visual Analytics Approach to Understand the Adversarial Game. IEEE Trans. Vis. Comput. Graph. Junpeng Wang, Liang Gou, Hao Yang, Han-Wei Shen
2017	A	`conf`	Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction. RecSys Sungyong Seo, Jing Huang, Hao Yang, Yan Liu