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2020 – today
- 2024
- [c54]Rashidul Islam, Huiyuan Chen, Yiwei Cai:
Fairness without Demographics through Shared Latent Space-Based Debiasing. AAAI 2024: 12717-12725 - [c53]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: 2502-2506 - [c52]Huiyuan Chen
, Vivian Lai
, Hongye Jin
, Zhimeng Jiang
, Mahashweta Das
, Xia Hu
:
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM 2024: 106-115 - [c51]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: 1237-1248 - [c50]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: 2485-2496 - [i32]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 abs/2401.01325 (2024) - [i31]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 Series Forecasting. CoRR abs/2402.10487 (2024) - [i30]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 abs/2402.13495 (2024) - [i29]Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong:
Masked Graph Transformer for Large-Scale Recommendation. CoRR abs/2405.04028 (2024) - [i28]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 abs/2405.11416 (2024) - [i27]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 abs/2406.05109 (2024) - [i26]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 abs/2406.16170 (2024) - 2023
- [c49]Huiyuan Chen, Weiting Chen, Yiqing Zhang, Na Li:
Multi-granularity Information Flow Enhanced Skeleton-based Infant Seizure Detection. BIBM 2023: 100-103 - [c48]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. IEEE Big Data 2023: 443-452 - [c47]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. IEEE Big Data 2023: 1242-1247 - [c46]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. IEEE Big Data 2023: 1908-1911 - [c45]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. IEEE Big Data 2023: 1994-1997 - [c44]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: 504-513 - [c43]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: 1178-1187 - [c42]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: 4400-4404 - [c41]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: 4909-4915 - [c40]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 - [c39]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: 9-16 - [c38]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: 2068-2076 - [c37]Song Wang
, Xingbo Fu
, Kaize Ding
, Chen Chen
, Huiyuan Chen
, Jundong Li
:
Federated Few-shot Learning. KDD 2023: 2374-2385 - [c36]Zhe Xu
, Yuzhong Chen
, Menghai Pan
, Huiyuan Chen
, Mahashweta Das
, Hao Yang
, Hanghang Tong
:
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD 2023: 2850-2861 - [c35]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 - [c34]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: 217-221 - [c33]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: 210-225 - [c32]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: 245-255 - [c31]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: 757-762 - [c30]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: 791-797 - [c29]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: 676-684 - [c28]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: 2369-2373 - [i25]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 abs/2304.07453 (2023) - [i24]Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li:
Federated Few-shot Learning. CoRR abs/2306.10234 (2023) - [i23]Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang:
Sharpness-Aware Graph Collaborative Filtering. CoRR abs/2307.08910 (2023) - [i22]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 abs/2308.01329 (2023) - [i21]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 abs/2308.10347 (2023) - [i20]Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang:
Adversarial Collaborative Filtering for Free. CoRR abs/2308.13541 (2023) - [i19]Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu:
Tackling Diverse Minorities in Imbalanced Classification. CoRR abs/2308.14838 (2023) - [i18]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 abs/2309.01032 (2023) - [i17]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 abs/2310.03916 (2023) - [i16]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 abs/2310.03919 (2023) - [i15]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 abs/2310.03925 (2023) - [i14]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 abs/2311.02560 (2023) - [i13]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 abs/2311.02561 (2023) - [i12]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 abs/2311.02563 (2023) - [i11]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 abs/2311.03393 (2023) - [i10]Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong:
Invariant Graph Transformer. CoRR abs/2312.07859 (2023) - [i9]Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang
, Mahashweta Das, Xia Hu:
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. CoRR abs/2312.17468 (2023) - 2022
- [c27]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: 200-214 - [c26]Maryam Moosaei, Yusan Lin, Ablaikhan Akhazhanov, Huiyuan Chen, Fei Wang, Hao Yang:
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits. CVPR Workshops 2022: 2272-2276 - [c25]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: 1938-1948 - [c24]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: 4391-4401 - [c23]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: 92-101 - [c22]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: 257-267 - [c21]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: 181-189 - [c20]Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang:
Adversarial Graph Perturbations for Recommendations at Scale. SIGIR 2022: 1854-1858 - [c19]Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang:
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. WWW 2022: 1955-1964 - [i8]Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. CoRR abs/2201.04792 (2022) - [i7]Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr:
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR abs/2206.03426 (2022) - [i6]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 abs/2208.05648 (2022) - [i5]Han Xu, Menghai Pan, Zhimeng Jiang
, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang:
Towards Generating Adversarial Examples on Mixed-type Data. CoRR abs/2210.09405 (2022) - [i4]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 abs/2212.02468 (2022) - [i3]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 abs/2212.04120 (2022) - [i2]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 abs/2212.04540 (2022) - 2021
- [c18]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: 938-947 - [c17]Weiwei Guo, Huiyuan Chen, Zenghui Zhang
, Yanhua Zhang, Wenxian Yu:
Direct Oriented Ship Localization Regression in Remote Sensing Imagery with Curriculum Learning. IGARSS 2021: 2584-2587 - [c16]Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang:
Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. RecSys 2021: 453-462 - [c15]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: 614-623 - [i1]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 abs/2112.12965 (2021) - 2020
- [j1]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) - [c14]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: 2855-2858 - [c13]Huiyuan Chen, Jing Li
:
Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems. IJCAI 2020: 2449-2455 - [c12]Huiyuan Chen, Jing Li
:
Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network. IJCAI 2020: 3452-3458
2010 – 2019
- 2019
- [c11]Huiyuan Chen, Sudha K. Iyengar, Jing Li:
Large-scale Analysis of Drug Combinations by Integrating Multiple Heterogeneous Information Networks. BCB 2019: 67-76 - [c10]Huiyuan Chen, Jing Li
:
Finding Stable Clustering for Noisy Data via Structure-Aware Representation. IEEE BigData 2019: 46-55 - [c9]Huiyuan Chen, Jing Li
:
Collaborative Ranking Tags and Items via Cross-domain Recommendation. IEEE BigData 2019: 721-730 - [c8]Huiyuan Chen, Jing Li
:
Collective Tensor Completion with Multiple Heterogeneous Side Information. IEEE BigData 2019: 731-740 - [c7]Huiyuan Chen, Jing Li
:
Data Poisoning Attacks on Cross-domain Recommendation. CIKM 2019: 2177-2180 - [c6]Huiyuan Chen, Jing Li
:
Adversarial tensor factorization for context-aware recommendation. RecSys 2019: 363-367 - [c5]Huiyuan Chen, Jing Li
:
Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources. WWW 2019: 218-227 - 2018
- [c4]Huiyuan Chen, Jing Li
:
Exploiting Structural and Temporal Evolution in Dynamic Link Prediction. CIKM 2018: 427-436 - [c3]Huiyuan Chen, Jing Li
:
DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition. ICDM 2018: 899-904 - 2017
- [c2]Huiyuan Chen, Jing Li
:
A Flexible and Robust Multi-Source Learning Algorithm for Drug Repositioning. BCB 2017: 510-515 - [c1]Huiyuan Chen, Jing Li
:
Learning Multiple Similarities of Users and Items in Recommender Systems. ICDM 2017: 811-816
Coauthor Index
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