Huiyuan Chen - RankMe

117 papers A* 28A 19B 7C 3Misc 1Journal 49Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective. CoRR Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiaoge Zhang, Kaiyu Tang, Xiao Li, Jing Li
2025	J	`jnl`	A Compact Model for Large-Scale Time Series Forecasting. CoRR Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng
2025	A*	`conf`	A Large-scale Training Paradigm for Graph Generative Models. ICLR Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
2025	J	`jnl`	Advancing Table Understanding of Large Language Models via Feature Re-ordering. SIGKDD Explor. Guanchu Wang, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Junpeng Wang, Xiaoting Li, Mingzhi Hu, Chia-Yuan Chang, Xia Hu
2025	J	`jnl`	Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction. Comput. Biol. Medicine Yue Yang, Kaixian Yu, Shan Gao, Sheng Yu, Di Xiong, Chuanyang Qin, Huiyuan Chen, Jiarui Tang, Niansheng Tang, Hongtu Zhu
2025	J	`jnl`	CM-OOA：An Energy-Efficient Clustering Algorithm for Wireless Sensor Networks Using Chaotic Mapping and Osprey Optimization. Informatica (Slovenia) Songhao Jia, Wenqian Shao, Cai Yang, Shuya Jia, Yaohui Yuan, Huiyuan Chen, Haiyu Zhang
2025	B	`conf`	EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data. IEEE Big Data Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary
2025	J	`jnl`	Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. CoRR Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai
2025	A	`conf`	Fine-Grained Graph Rationalization. CIKM Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
2025	A	`conf`	GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. SDM Xiaodong Yang, Xiaoting Li, Huiyuan Chen, Yiwei Cai
2025	J	`jnl`	Recent Developments in GNNs for Drug Discovery. CoRR Zhengyu Fang, Xiaoge Zhang, Anyin Zhao, Xiao Li, Huiyuan Chen, Jing Li
2025	J	`jnl`	SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation. CoRR Yuying Zhao, Xiaodong Yang, Huiyuan Chen, Xiran Fan, Yu Wang, Yiwei Cai, Tyler Derr
2025	J	`jnl`	Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. CoRR Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary
2025	J	`jnl`	TransactionGPT. CoRR Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen
2025	B	`conf`	UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting. IEEE Big Data Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng
2025	A*	`conf`	Understanding and Mitigating Memorization in Diffusion Models for Tabular Data. ICML Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li
2024	A	`conf`	A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. CIKM 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	J	`jnl`	A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. CoRR 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	A*	`conf`	Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
2024	J	`jnl`	Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
2024	A*	`conf`	Discrete-state Continuous-time Diffusion for Graph Generation. NeurIPS Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
2024	J	`jnl`	Discrete-state Continuous-time Diffusion for Graph Generation. CoRR Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
2024	A*	`conf`	Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. ICDM Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai
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`	Fairness without Demographics through Shared Latent Space-Based Debiasing. AAAI Rashidul Islam, Huiyuan Chen, Yiwei Cai
2024	J	`jnl`	GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. CoRR Xiaodong Yang, Xiaoting Li, Huiyuan Chen, Yiwei Cai
2024	J	`jnl`	LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. CoRR Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024	A*	`conf`	LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. ICML Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024	J	`jnl`	Large Generative Graph Models. CoRR Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
2024	A*	`conf`	Masked Graph Transformer for Large-Scale Recommendation. SIGIR Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
2024	J	`jnl`	Masked Graph Transformer for Large-Scale Recommendation. CoRR Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
2024	A*	`conf`	Matrix Profile for Anomaly Detection on Multidimensional Time Series. ICDM 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	J	`jnl`	Matrix Profile for Anomaly Detection on Multidimensional Time Series. CoRR 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	J	`jnl`	Optimization of Binocular Vision Ranging Based on Sparse Stereo Matching and Feature Point Extraction. IEEE Access Zhiliang Chen, Wei Zhang, Shilin Li, Kaixiong Zhu, Huiyuan Chen
2024	A*	`conf`	PaCEr: Network Embedding From Positional to Structural. WWW Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong
2024	A*	`conf`	RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. KDD 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	J	`jnl`	Random Projection Layers for Multidimensional Time Series Forecasting. CoRR 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
2024	J	`jnl`	SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering. CoRR Xiaodong Yang, Huiyuan Chen, Yuchen Yan, Yuxin Tang, Yuying Zhao, Eric Xu, Yiwei Cai, Hanghang Tong
2024	J	`jnl`	THeGCN: Temporal Heterophilic Graph Convolutional Network. CoRR Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Xiaoting Li, Zhe Xu, Zhichen Zeng, Zhining Liu, Hanghang Tong
2024	A*	`conf`	TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. ICML Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar
2024	A	`conf`	Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2024	J	`jnl`	Understanding and Mitigating Memorization in Diffusion Models for Tabular Data. CoRR Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li
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`	An Efficient Content-based Time Series Retrieval System. CIKM 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	J	`jnl`	An Efficient Content-based Time Series Retrieval System. CoRR 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	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	B	`conf`	Ego-Network Transformer for Subsequence Classification in Time Series Data. IEEE Big 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
2023	J	`jnl`	Ego-Network Transformer for Subsequence Classification in Time Series Data. CoRR 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
2023	B	`conf`	EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. PacificVis Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
2023	J	`jnl`	EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. CoRR Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang
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`	Federated Few-shot Learning. KDD Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023	J	`jnl`	Federated Few-shot Learning. CoRR Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
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`	Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR 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	J	`jnl`	Invariant Graph Transformer. CoRR Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
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	—	`conf`	Multi-granularity Information Flow Enhanced Skeleton-based Infant Seizure Detection. BIBM Huiyuan Chen, Weiting Chen, Yiqing Zhang, Na Li
2023	C	`conf`	Multitask Learning for Time Series Data with 2D Convolution. ICMLA Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023	J	`jnl`	Multitask Learning for Time Series Data with 2D Convolution. CoRR Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
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	B	`conf`	Sketching Multidimensional Time Series for Fast Discord Mining. IEEE Big Data Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2023	J	`jnl`	Sketching Multidimensional Time Series for Fast Discord Mining. CoRR Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2023	A	`conf`	Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. CIKM Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang
2023	—	`conf`	Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. ECML/PKDD (7) Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang
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
2023	B	`conf`	Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. IEEE Big Data Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023	J	`jnl`	Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. CoRR Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
2023	B	`conf`	Time Series Synthesis Using the Matrix Profile for Anonymization. IEEE Big Data Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023	J	`jnl`	Time Series Synthesis Using the Matrix Profile for Anonymization. CoRR Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh
2023	A	`conf`	Toward a Foundation Model for Time Series Data. CIKM 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	J	`jnl`	Toward a Foundation Model for Time Series Data. CoRR 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	J	`jnl`	Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. CoRR Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, 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	A*	`conf`	Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. KDD Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2022	J	`jnl`	Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. CoRR Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
2022	A	`conf`	Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. SDM Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
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	A*	`conf`	Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. KDD Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
2022	J	`jnl`	Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
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	Misc	`conf`	Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. AMTA Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
2022	J	`jnl`	Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. CoRR Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips
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
2021	C	`conf`	Direct Oriented Ship Localization Regression in Remote Sensing Imagery with Curriculum Learning. IGARSS Weiwei Guo, Huiyuan Chen, Zenghui Zhang, Yanhua Zhang, Wenxian Yu
2021	J	`jnl`	Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. CoRR Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh
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`	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	C	`conf`	Ellipse-FCN: Oil Tanks Detection from Remote Sensing Images with Fully Convolution Network. IGARSS Ziteng Cui, Weiwei Guo, Zenghui Zhang, Huiyuan Chen, Wenxian Yu
2020	A*	`conf`	Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network. IJCAI Huiyuan Chen, Jing Li
2020	A*	`conf`	Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems. IJCAI Huiyuan Chen, Jing Li
2020	J	`jnl`	iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding. PLoS Comput. Biol. Huiyuan Chen, Feixiong Cheng, Jing Li
2019	A	`conf`	Adversarial tensor factorization for context-aware recommendation. RecSys Huiyuan Chen, Jing Li
2019	—	`conf`	Collaborative Ranking Tags and Items via Cross-domain Recommendation. IEEE BigData Huiyuan Chen, Jing Li
2019	—	`conf`	Collective Tensor Completion with Multiple Heterogeneous Side Information. IEEE BigData Huiyuan Chen, Jing Li
2019	A	`conf`	Data Poisoning Attacks on Cross-domain Recommendation. CIKM Huiyuan Chen, Jing Li
2019	—	`conf`	Finding Stable Clustering for Noisy Data via Structure-Aware Representation. IEEE BigData Huiyuan Chen, Jing Li
2019	—	`conf`	Large-scale Analysis of Drug Combinations by Integrating Multiple Heterogeneous Information Networks. BCB Huiyuan Chen, Sudha K. Iyengar, Jing Li
2019	A*	`conf`	Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources. WWW Huiyuan Chen, Jing Li
2018	A*	`conf`	DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition. ICDM Huiyuan Chen, Jing Li
2018	A	`conf`	Exploiting Structural and Temporal Evolution in Dynamic Link Prediction. CIKM Huiyuan Chen, Jing Li
2017	—	`conf`	A Flexible and Robust Multi-Source Learning Algorithm for Drug Repositioning. BCB Huiyuan Chen, Jing Li
2017	A*	`conf`	Learning Multiple Similarities of Users and Items in Recommender Systems. ICDM Huiyuan Chen, Jing Li