Huiyuan Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 89

Top Topics

Collaborative Filtering

Tensor Factorization

Embedding Space

Recommender Systems

Top Venues

Publications

Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong
PaCEr: Network Embedding From Positional to Structural. WWW (2024)
Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang
Random Projection Layers for Multidimensional Time Sires Forecasting. CoRR (2024)
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
Masked Graph Transformer for Large-Scale Recommendation. SIGIR (2024)
Xiaodong Yang, Huiyuan Chen, Yuchen Yan, Yuxin Tang, Yuying Zhao, Eric Xu, Yiwei Cai, Hanghang Tong
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering. CoRR (2024)
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM (2024)
Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
Discrete-state Continuous-time Diffusion for Graph Generation. CoRR (2024)
Rashidul Islam, Huiyuan Chen, Yiwei Cai
Fairness without Demographics through Shared Latent Space-Based Debiasing. AAAI (2024)
Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) (2024)
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
Masked Graph Transformer for Large-Scale Recommendation. CoRR (2024)
Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. KDD (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR (2024)
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. CoRR (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW (2024)
Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
Large Generative Graph Models. CoRR (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)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. CoRR (2023)
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)
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Time Series Synthesis Using the Matrix Profile for Anonymization. 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)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips
An Efficient Content-based Time Series Retrieval System. CoRR (2023)
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. CoRR (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Ego-Network Transformer for Subsequence Classification in Time Series Data. BigData (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)
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Multitask Learning for Time Series Data with 2D Convolution. ICMLA (2023)
Huiyuan Chen, Weiting Chen, Yiqing Zhang, Na Li
Multi-granularity Information Flow Enhanced Skeleton-based Infant Seizure Detection. BIBM (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Ego-Network Transformer for Subsequence Classification in Time Series Data. CoRR (2023)
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Toward a Foundation Model for Time Series Data. CIKM (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. BigData (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)
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Multitask Learning for Time Series Data with 2D Convolution. CoRR (2023)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. BigData (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)
Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Toward a Foundation Model for Time Series Data. CoRR (2023)
Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD (2023)
Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. CoRR (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)
Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang
Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. ECML/PKDD (7) (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, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
Tackling Diverse Minorities in Imbalanced Classification. CoRR (2023)
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
Federated Few-shot Learning. CoRR (2023)
Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
Invariant Graph Transformer. CoRR (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)
Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. CIKM (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)
Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. PacificVis (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. CoRR (2023)
Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
Time Series Synthesis Using the Matrix Profile for Anonymization. BigData (2023)
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
Federated Few-shot Learning. KDD (2023)
Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips
An Efficient Content-based Time Series Retrieval System. CIKM (2023)
Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR (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)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. CoRR (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)
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. CoRR (2022)
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. KDD (2022)
Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. CoRR (2022)
Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. KDD (2022)
Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
Towards Generating Adversarial Examples on Mixed-type Data. CoRR (2022)
Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops (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. RecSys (2022)
Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. AMTA (2022)
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR (2022)
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. SDM (2022)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
Adversarial Graph Perturbations for Recommendations at Scale. SIGIR (2022)
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)
Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. CoRR (2021)
Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang
Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. RecSys (2021)
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)
Weiwei Guo, Huiyuan Chen, Zenghui Zhang, Yanhua Zhang, Wenxian Yu
Direct Oriented Ship Localization Regression in Remote Sensing Imagery with Curriculum Learning. IGARSS (2021)
Huiyuan Chen, Jing Li
Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network. IJCAI (2020)
Huiyuan Chen, Feixiong Cheng, Jing Li
iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding. PLoS Comput. Biol. 16 (7) (2020)
Ziteng Cui, Weiwei Guo, Zenghui Zhang, Huiyuan Chen, Wenxian Yu
Ellipse-FCN: Oil Tanks Detection from Remote Sensing Images with Fully Convolution Network. IGARSS (2020)
Huiyuan Chen, Jing Li
Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems. IJCAI (2020)
Huiyuan Chen, Jing Li
Data Poisoning Attacks on Cross-domain Recommendation. CIKM (2019)
Huiyuan Chen, Jing Li
Finding Stable Clustering for Noisy Data via Structure-Aware Representation. IEEE BigData (2019)
Huiyuan Chen, Jing Li
Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources. WWW (2019)
Huiyuan Chen, Jing Li
Collective Tensor Completion with Multiple Heterogeneous Side Information. IEEE BigData (2019)
Huiyuan Chen, Sudha K. Iyengar, Jing Li
Large-scale Analysis of Drug Combinations by Integrating Multiple Heterogeneous Information Networks. BCB (2019)
Huiyuan Chen, Jing Li
Collaborative Ranking Tags and Items via Cross-domain Recommendation. IEEE BigData (2019)
Huiyuan Chen, Jing Li
Adversarial tensor factorization for context-aware recommendation. RecSys (2019)
Huiyuan Chen, Jing Li
Exploiting Structural and Temporal Evolution in Dynamic Link Prediction. CIKM (2018)
Huiyuan Chen, Jing Li
DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition. ICDM (2018)
Huiyuan Chen, Jing Li
A Flexible and Robust Multi-Source Learning Algorithm for Drug Repositioning. BCB (2017)
Huiyuan Chen, Jing Li
Learning Multiple Similarities of Users and Items in Recommender Systems. ICDM (2017)