A Flexible and Robust Multi-Source Learning Algorithm for Drug Repositioning. - Huiyuan Chen; Jing Li 002 (BCB, 2017)

Learning Multiple Similarities of Users and Items in Recommender Systems. - Huiyuan Chen; Jing Li 002 (ICDM, 2017)

Exploiting Structural and Temporal Evolution in Dynamic Link Prediction. - Huiyuan Chen; Jing Li 002 (CIKM, 2018)

DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition. - Huiyuan Chen; Jing Li 002 (ICDM, 2018)

Large-scale Analysis of Drug Combinations by Integrating Multiple Heterogeneous Information Networks. - Huiyuan Chen; Sudha K. Iyengar; Jing Li 002 (BCB, 2019)

Finding Stable Clustering for Noisy Data via Structure-Aware Representation. - Huiyuan Chen; Jing Li 002 (IEEE BigData, 2019)

Collaborative Ranking Tags and Items via Cross-domain Recommendation. - Huiyuan Chen; Jing Li 002 (IEEE BigData, 2019)

Collective Tensor Completion with Multiple Heterogeneous Side Information. - Huiyuan Chen; Jing Li 002 (IEEE BigData, 2019)

Data Poisoning Attacks on Cross-domain Recommendation. - Huiyuan Chen; Jing Li 002 (CIKM, 2019)

Adversarial tensor factorization for context-aware recommendation. - Huiyuan Chen; Jing Li 002 (RecSys, 2019)

Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources. - Huiyuan Chen; Jing Li 002 (WWW, 2019)

Ellipse-FCN: Oil Tanks Detection from Remote Sensing Images with Fully Convolution Network. - Ziteng Cui; Weiwei Guo; Zenghui Zhang; Huiyuan Chen; Wenxian Yu (IGARSS, 2020)

Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems. - Huiyuan Chen; Jing Li 002 (IJCAI, 2020)

Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network. - Huiyuan Chen; Jing Li 002 (IJCAI, 2020)

iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding. - Huiyuan Chen; Feixiong Cheng; Jing Li 002 (PLoS Comput. Biol., 2020)

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. - Lan Wang; Yusan Lin; Yuhang Wu 002; Huiyuan Chen; Fei Wang 062; Hao Yang 007 (IEEE BigData, 2021)

Direct Oriented Ship Localization Regression in Remote Sensing Imagery with Curriculum Learning. - Weiwei Guo; Huiyuan Chen; Zenghui Zhang; Yanhua Zhang; Wenxian Yu (IGARSS, 2021)

Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. - Huiyuan Chen; Yusan Lin; Fei Wang 062; Hao Yang 007 (RecSys, 2021)

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. - Huiyuan Chen; Lan Wang; Yusan Lin; Chin-Chia Michael Yeh; Fei Wang 062; Hao Yang 007 (SIGIR, 2021)

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. - Prince Osei Aboagye; Yan Zheng 001; Chin-Chia Michael Yeh; Junpeng Wang 001; Zhongfang Zhuang; Huiyuan Chen; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips (AMTA, 2022)

OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. - Maryam Moosaei; Yusan Lin; Ablaikhan Akhazhanov; Huiyuan Chen; Fei Wang 062; Hao Yang 007 (CVPR Workshops, 2022)

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. - Yu Wang 160; Yuying Zhao; Yushun Dong; Huiyuan Chen; Jundong Li; Tyler Derr (KDD, 2022)

Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. - Chin-Chia Michael Yeh; Mengting Gu; Yan Zheng 001; Huiyuan Chen; Javid Ebrahimi; Zhongfang Zhuang; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189 (KDD, 2022)

Denoising Self-Attentive Sequential Recommendation. - Huiyuan Chen; Yusan Lin; Menghai Pan; Lan Wang; Chin-Chia Michael Yeh; Xiaoting Li 001; Yan Zheng 001; Fei Wang 062; Hao Yang 007 (RecSys, 2022)

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. - Huiyuan Chen; Xiaoting Li 001; Kaixiong Zhou; Xia Hu 001; Chin-Chia Michael Yeh; Yan Zheng 001; Hao Yang 007 (RecSys, 2022)

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. - Chin-Chia Michael Yeh; Yan Zheng 001; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Wei Zhang 189; Eamonn J. Keogh (SDM, 2022)

Adversarial Graph Perturbations for Recommendations at Scale. - Huiyuan Chen; Kaixiong Zhou; Kwei-Herng Lai; Xia Hu 001; Fei Wang 062; Hao Yang 007 (SIGIR, 2022)

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. - Huiyuan Chen; Chin-Chia Michael Yeh; Fei Wang 062; Hao Yang 007 (WWW, 2022)

Towards Generating Adversarial Examples on Mixed-type Data. - Han Xu; Menghai Pan; Zhimeng Jiang; Huiyuan Chen; Xiaoting Li 001; Mahashweta Das; Hao Yang 007 (CoRR, 2022)

Multi-granularity Information Flow Enhanced Skeleton-based Infant Seizure Detection. - Huiyuan Chen; Weiting Chen; Yiqing Zhang; Na Li (BIBM, 2023)

Time Series Synthesis Using the Matrix Profile for Anonymization. - Audrey Der; Chin-Chia Michael Yeh; Yan Zheng 001; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (IEEE 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 001; Yujie Fan; Vivian Lai; Junpeng Wang 001; Audrey Der; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (IEEE 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 001; Vivian Lai; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (IEEE Big Data, 2023)

Sketching Multidimensional Time Series for Fast Discord Mining. - Chin-Chia Michael Yeh; Yan Zheng 001; Menghai Pan; Huiyuan Chen; Zhongfang Zhuang; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips; Eamonn J. Keogh (IEEE Big Data, 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 001; Liang Wang 047; Junpeng Wang 001; Xin Dai; Zhongfang Zhuang; Wei Zhang 189 (CIKM, 2023)

Tackling Diverse Minorities in Imbalanced Classification. - Kwei-Herng Lai; Daochen Zha; Huiyuan Chen; Mangesh Bendre; Yuzhong Chen; Mahashweta Das; Hao Yang 007; Xia Hu 001 (CIKM, 2023)

An Efficient Content-based Time Series Retrieval System. - Chin-Chia Michael Yeh; Huiyuan Chen; Xin Dai; Yan Zheng 001; Junpeng Wang 001; Vivian Lai; Yujie Fan; Audrey Der; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips (CIKM, 2023)

Toward a Foundation Model for Time Series Data. - Chin-Chia Michael Yeh; Xin Dai; Huiyuan Chen; Yan Zheng 001; Yujie Fan; Audrey Der; Vivian Lai; Zhongfang Zhuang; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189 (CIKM, 2023)

Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. - Prince Osei Aboagye; Yan Zheng 001; Jack Shunn; Chin-Chia Michael Yeh; Junpeng Wang 001; Zhongfang Zhuang; Huiyuan Chen; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips (ICLR, 2023)

Multitask Learning for Time Series Data with 2D Convolution. - Chin-Chia Michael Yeh; Xin Dai; Yan Zheng 001; Junpeng Wang 001; Huiyuan Chen; Yujie Fan; Audrey Der; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (ICMLA, 2023)

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. - Huiyuan Chen; Kaixiong Zhou; Zhimeng Jiang; Chin-Chia Michael Yeh; Xiaoting Li 001; Menghai Pan; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (IJCAI, 2023)

Federated Few-shot Learning. - Song Wang 013; Xingbo Fu; Kaize Ding; Chen Chen 022; Huiyuan Chen; Jundong Li (KDD, 2023)

Kernel Ridge Regression-Based Graph Dataset Distillation. - Zhe Xu 007; Yuzhong Chen; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hao Yang 007; Hanghang Tong (KDD, 2023)

From Trainable Negative Depth to Edge Heterophily in Graphs. - Yuchen Yan; Yuzhong Chen; Huiyuan Chen; Minghua Xu 003; Mahashweta Das; Hao Yang 007; Hanghang Tong (NeurIPS, 2023)

EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. - Yan Zheng 001; Junpeng Wang 001; Chin-Chia Michael Yeh; Yujie Fan; Huiyuan Chen; Liang Wang 047; Wei Zhang 189 (PacificVis, 2023)

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. - Yujie Fan; Chin-Chia Michael Yeh; Huiyuan Chen; Liang Wang 047; Zhongfang Zhuang; Junpeng Wang 001; Xin Dai; Yan Zheng 001; Wei Zhang 189 (ECML/PKDD (7), 2023)

Adversarial Collaborative Filtering for Free. - Huiyuan Chen; Xiaoting Li 001; Vivian Lai; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Mahashweta Das; Hao Yang 007 (RecSys, 2023)

Hessian-aware Quantized Node Embeddings for Recommendation. - Huiyuan Chen; Kaixiong Zhou; Kwei-Herng Lai; Chin-Chia Michael Yeh; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (RecSys, 2023)

Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. - Vivian Lai; Huiyuan Chen; Chin-Chia Michael Yeh; Minghua Xu 003; Yiwei Cai; Hao Yang 007 (RecSys, 2023)

Context-aware Domain Adaptation for Time Series Anomaly Detection. - Kwei-Herng Lai; Lan Wang; Huiyuan Chen; Kaixiong Zhou; Fei Wang 062; Hao Yang 007; Xia Hu 001 (SDM, 2023)

Sharpness-Aware Graph Collaborative Filtering. - Huiyuan Chen; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Junpeng Wang 001; Vivian Lai; Mahashweta Das; Hao Yang 007 (SIGIR, 2023)

Invariant Graph Transformer. - Zhe Xu 007; Menghai Pan; Yuzhong Chen; Huiyuan Chen; Yuchen Yan; Mahashweta Das; Hanghang Tong (CoRR, 2023)

Fairness without Demographics through Shared Latent Space-Based Debiasing. - Rashidul Islam; Huiyuan Chen; Yiwei Cai (AAAI, 2024)

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. - Xiran Fan; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen; Mahashweta Das; Hao Yang 007 (ACL (Findings), 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 001; Yujie Fan; Zhongfang Zhuang; Vivian Lai; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (CIKM, 2024)

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. - Song Wang 013; Xiaodong Yang; Rashidul Islam; Huiyuan Chen; Minghua Xu 003; Jundong Li; Yiwei Cai (ICDM, 2024)

Matrix Profile for Anomaly Detection on Multidimensional Time Series. - Chin-Chia Michael Yeh; Audrey Der; Uday Singh Saini; Vivian Lai; Yan Zheng 001; Junpeng Wang 001; Xin Dai; Zhongfang Zhuang; Yujie Fan; Huiyuan Chen; Prince Osei Aboagye; Liang Wang 047; et al. (ICDM, 2024)

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (ICML, 2024)

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. - Weijieying Ren; Xiaoting Li 001; Huiyuan Chen; Vineeth Rakesh; Zhuoyi Wang; Mahashweta Das; Vasant G. Honavar (ICML, 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 001; Huiyuan Chen; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (KDD, 2024)

Discrete-state Continuous-time Diffusion for Graph Generation. - Zhe Xu 007; Ruizhong Qiu; Yuzhong Chen; Huiyuan Chen; Xiran Fan; Menghai Pan; Zhichen Zeng 001; Mahashweta Das; Hanghang Tong (NeurIPS, 2024)

Masked Graph Transformer for Large-Scale Recommendation. - Huiyuan Chen; Zhe Xu 007; Chin-Chia Michael Yeh; Vivian Lai; Yan Zheng 001; Minghua Xu 003; Hanghang Tong (SIGIR, 2024)

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. - Huiyuan Chen; Vivian Lai; Hongye Jin; Zhimeng Jiang; Mahashweta Das; Xia Hu 001 (WSDM, 2024)

PaCEr: Network Embedding From Positional to Structural. - Yuchen Yan; Yongyi Hu; Qinghai Zhou; Lihui Liu; Zhichen Zeng 001; Yuzhong Chen; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hanghang Tong (WWW, 2024)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. - Yuying Zhao; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen; Yiwei Cai; Rashidul Islam; Yu Wang 160; Tyler Derr (WWW, 2024)

Optimization of Binocular Vision Ranging Based on Sparse Stereo Matching and Feature Point Extraction. - Zhiliang Chen; Wei Zhang 189; Shilin Li; Kaixiong Zhu; Huiyuan Chen (IEEE Access, 2024)

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (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 001; Huiyuan Chen; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (CoRR, 2024)

Large Generative Graph Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (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)

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data. - Zhengyu Fang; Zhimeng Jiang; Huiyuan Chen; Xiao Li; Jing Li 002 (CoRR, 2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network. - Yuchen Yan; Yuzhong Chen; Huiyuan Chen; Xiaoting Li 001; Zhe Xu 007; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong (CoRR, 2024)

A Large-scale Training Paradigm for Graph Generative Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (ICLR, 2025)

GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. - Xiaodong Yang; Xiaoting Li 001; Huiyuan Chen; Yiwei Cai (SDM, 2025)

Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction. - Yue Yang; Kaixian Yu; Shan Gao; Sheng Yu; Di Xiong; Chuanyang Qin; Huiyuan Chen; Jiarui Tang; Niansheng Tang; Hongtu Zhu (Comput. Biol. Medicine, 2025)

CM-OOA：An Energy-Efficient Clustering Algorithm for Wireless Sensor Networks Using Chaotic Mapping and Osprey Optimization. - Songhao Jia; Wenqian Shao; Cai Yang; Shuya Jia; Yaohui Yuan; Huiyuan Chen; Haiyu Zhang (Informatica (Slovenia), 2025)

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. - Song Wang 013; Xiaodong Yang; Rashidul Islam; Huiyuan Chen; Mingliang Xu 001; Jundong Li; Yiwei Cai (CoRR, 2025)

A Compact Model for Large-Scale Time Series Forecasting. - Chin-Chia Michael Yeh; Xiran Fan; Zhimeng Jiang; Yujie Fan; Huiyuan Chen; Uday Singh Saini; Vivian Lai; Xin Dai; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Yan Zheng 001 (CoRR, 2025)

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. - Jiarui Sun; Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Xiran Fan; Zhimeng Jiang; Uday Singh Saini; Vivian Lai; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Yan Zheng 001; et al. (CoRR, 2025)

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation. - Yuying Zhao; Xiaodong Yang; Huiyuan Chen; Xiran Fan; Yu Wang 160; Yiwei Cai; Tyler Derr (CoRR, 2025)

A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective. - Zhengyu Fang; Zhimeng Jiang; Huiyuan Chen; Xiaoge Zhang; Kaiyu Tang; Xiao Li; Jing Li 002 (CoRR, 2025)

Recent Developments in GNNs for Drug Discovery. - Zhengyu Fang; Xiaoge Zhang; Anyin Zhao; Xiao Li; Huiyuan Chen; Jing Li 002 (CoRR, 2025)

Advancing Table Understanding of Large Language Models via Feature Re-ordering. - Guanchu Wang; Yuzhong Chen; Huiyuan Chen; Xiran Fan; Junpeng Wang 001; Xiaoting Li 001; Mingzhi Hu; Chia-Yuan Chang 002; Xia Hu 001 (SIGKDD Explor., 2025)