Huiyuan Chen

According to our database, Huiyuan Chen authored at least 70 papers between 2017 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization.

Xiaodong Yang, Xiaoting Li, Huiyuan Chen, Yiwei Cai

CoRR, 2024

SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering.

Xiaodong Yang, Huiyuan Chen, Yuchen Yan, Yuxin Tang, Yuying Zhao, Eric Xu, Yiwei Cai, Hanghang Tong

CoRR, 2024

Large Generative Graph Models.

Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr

CoRR, 2024

Discrete-state Continuous-time Diffusion for Graph Generation.

Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong

CoRR, 2024

Random Projection Layers for Multidimensional Time Series Forecasting.

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

CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

CoRR, 2024

Optimization of Binocular Vision Ranging Based on Sparse Stereo Matching and Feature Point Extraction.

Zhiliang Chen, Wei Zhang, Shilin Li, Kaixiong Zhu, Huiyuan Chen

IEEE Access, 2024

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

Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the ACM on Web Conference 2024, 2024

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.

Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Masked Graph Transformer for Large-Scale Recommendation.

Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations.

Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Fairness without Demographics through Shared Latent Space-Based Debiasing.

Rashidul Islam, Huiyuan Chen, Yiwei Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Invariant Graph Transformer.

Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong

CoRR, 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

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting.

Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding.

Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

From Trainable Negative Depth to Edge Heterophily in Graphs.

Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Federated Few-shot Learning.

Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li

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

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

Proceedings of the International Conference on Machine Learning and Applications, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

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

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

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

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

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

Sketching Multidimensional Time Series for Fast Discord Mining.

Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

Ego-Network Transformer for Subsequence Classification in Time Series Data.

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

Proceedings of the IEEE International Conference on Big Data, 2023

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.

Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2023

Time Series Synthesis Using the Matrix Profile for Anonymization.

Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

Multi-granularity Information Flow Enhanced Skeleton-based Infant Seizure Detection.

Huiyuan Chen, Weiting Chen, Yiqing Zhang, Na Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

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

Proceedings of the 2022 SIAM International Conference on Data Mining, 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

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.

Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

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

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

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

Direct Oriented Ship Localization Regression in Remote Sensing Imagery with Curriculum Learning.

Weiwei Guo, Huiyuan Chen, Zenghui Zhang, Yanhua Zhang, Wenxian Yu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

2020

iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding.

Huiyuan Chen, Feixiong Cheng, Jing Li

PLoS Comput. Biol., 2020

Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network.

Huiyuan Chen, Jing Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems.

Huiyuan Chen, Jing Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Ellipse-FCN: Oil Tanks Detection from Remote Sensing Images with Fully Convolution Network.

Ziteng Cui, Weiwei Guo, Zenghui Zhang, Huiyuan Chen, Wenxian Yu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources.

Huiyuan Chen, Jing Li

Proceedings of the World Wide Web Conference, 2019

Adversarial tensor factorization for context-aware recommendation.

Huiyuan Chen, Jing Li

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Data Poisoning Attacks on Cross-domain Recommendation.

Huiyuan Chen, Jing Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Collective Tensor Completion with Multiple Heterogeneous Side Information.

Huiyuan Chen, Jing Li

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

Collaborative Ranking Tags and Items via Cross-domain Recommendation.

Huiyuan Chen, Jing Li

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

Finding Stable Clustering for Noisy Data via Structure-Aware Representation.

Huiyuan Chen, Jing Li

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

Large-scale Analysis of Drug Combinations by Integrating Multiple Heterogeneous Information Networks.

Huiyuan Chen, Sudha K. Iyengar, Jing Li

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition.

Huiyuan Chen, Jing Li

Proceedings of the IEEE International Conference on Data Mining, 2018

Exploiting Structural and Temporal Evolution in Dynamic Link Prediction.

Huiyuan Chen, Jing Li

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Learning Multiple Similarities of Users and Items in Recommender Systems.

Huiyuan Chen, Jing Li

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Flexible and Robust Multi-Source Learning Algorithm for Drug Repositioning.

Huiyuan Chen, Jing Li

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017