Huiyuan Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
18
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIKM | Fine-Grained Graph Rationalization. | Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong |
| 2025 | ICLR | A Large-scale Training Paradigm for Graph Generative Models. | Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr |
| 2025 | ICML | Understanding and Mitigating Memorization in Diffusion Models for Tabular Data. | Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li |
| 2025 | SDM | GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. | Xiaodong Yang, Xiaoting Li, Huiyuan Chen, Yiwei Cai |
| 2024 | AAAI | Fairness without Demographics through Shared Latent Space-Based Debiasing. | Rashidul Islam, Huiyuan Chen, Yiwei Cai |
| 2024 | ACL | Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. | Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang |
| 2024 | CIKM | A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. | Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh |
| 2024 | ICDM | Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. | Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai |
| 2024 | ICDM | Matrix Profile for Anomaly Detection on Multidimensional Time Series. | Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh |
| 2024 | ICML | LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. | Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu |
| 2024 | ICML | TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. | Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar |
| 2024 | KDD | RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. | 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 |
| 2024 | WWW | PaCEr: Network Embedding From Positional to Structural. | Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong |
| 2024 | WWW | Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. | Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr |
| 2024 | SIGIR | Masked Graph Transformer for Large-Scale Recommendation. | Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong |
| 2024 | WSDM | Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. | Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu |
| 2023 | CIKM | Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. | Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang |
| 2023 | CIKM | Tackling Diverse Minorities in Imbalanced Classification. | Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu |
| 2023 | CIKM | An Efficient Content-based Time Series Retrieval System. | 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 |
| 2023 | CIKM | Toward a Foundation Model for Time Series Data. | Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang |
| 2023 | ICLR | Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. | Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips |
| 2023 | ICMLA | Multitask Learning for Time Series Data with 2D Convolution. | Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang |
| 2023 | IJCAI | 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 |
| 2023 | KDD | Federated Few-shot Learning. | Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li |
| 2023 | KDD | Kernel Ridge Regression-Based Graph Dataset Distillation. | Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2023 | PacificVis | EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. | Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang |
| 2023 | RecSys | Adversarial Collaborative Filtering for Free. | Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang |
| 2023 | RecSys | Hessian-aware Quantized Node Embeddings for Recommendation. | Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang |
| 2023 | RecSys | 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 |
| 2023 | SIGIR | Sharpness-Aware Graph Collaborative Filtering. | Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang |
| 2023 | SDM | Context-aware Domain Adaptation for Time Series Anomaly Detection. | Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu |
| 2022 | AMTA | Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. | Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips |
| 2022 | CVPR | OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. | Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang |
| 2022 | KDD | Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. | Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr |
| 2022 | KDD | Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. | Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang |
| 2022 | RecSys | 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 |
| 2022 | RecSys | 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 |
| 2022 | WWW | Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. | Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang |
| 2022 | SIGIR | Adversarial Graph Perturbations for Recommendations at Scale. | Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang |
| 2022 | SDM | Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. | Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh |
| 2021 | IGARSS | Direct Oriented Ship Localization Regression in Remote Sensing Imagery with Curriculum Learning. | Weiwei Guo, Huiyuan Chen, Zenghui Zhang, Yanhua Zhang, Wenxian Yu |
| 2021 | RecSys | Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. | Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang |
| 2021 | SIGIR | Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. | Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang |
| 2020 | IJCAI | Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems. | Huiyuan Chen, Jing Li |
| 2020 | IJCAI | Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network. | Huiyuan Chen, Jing Li |
| 2020 | IGARSS | Ellipse-FCN: Oil Tanks Detection from Remote Sensing Images with Fully Convolution Network. | Ziteng Cui, Weiwei Guo, Zenghui Zhang, Huiyuan Chen, Wenxian Yu |
| 2019 | CIKM | Data Poisoning Attacks on Cross-domain Recommendation. | Huiyuan Chen, Jing Li |
| 2019 | RecSys | Adversarial tensor factorization for context-aware recommendation. | Huiyuan Chen, Jing Li |
| 2019 | WWW | Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources. | Huiyuan Chen, Jing Li |
| 2018 | CIKM | Exploiting Structural and Temporal Evolution in Dynamic Link Prediction. | Huiyuan Chen, Jing Li |
| 2018 | ICDM | DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition. | Huiyuan Chen, Jing Li |
| 2017 | ICDM | Learning Multiple Similarities of Users and Items in Recommender Systems. | Huiyuan Chen, Jing Li |