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Huiyuan Chen
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2020 – today
- 2024
- [j2]Zhiliang Chen
, Wei Zhang, Shilin Li, Kaixiong Zhu, Huiyuan Chen:
Optimization of Binocular Vision Ranging Based on Sparse Stereo Matching and Feature Point Extraction. IEEE Access 12: 153859-153873 (2024) - [c60]Rashidul Islam, Huiyuan Chen, Yiwei Cai:
Fairness without Demographics through Shared Latent Space-Based Debiasing. AAAI 2024: 12717-12725 - [c59]Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang:
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) 2024: 4575-4589 - [c58]Audrey Der
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. CIKM 2024: 3719-3723 - [c57]Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. ICML 2024 - [c56]Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar:
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. ICML 2024 - [c55]Chin-Chia Michael Yeh
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. KDD 2024: 3919-3930 - [c54]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. NeurIPS 2024 - [c53]Huiyuan Chen
Masked Graph Transformer for Large-Scale Recommendation. SIGIR 2024: 2502-2506 - [c52]Huiyuan Chen
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM 2024: 106-115 - [c51]Yuying Zhao
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW 2024: 1237-1248 - [c50]Yuchen Yan
PaCEr: Network Embedding From Positional to Structural. WWW 2024: 2485-2496 - [i37]Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. CoRR abs/2401.01325 (2024) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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:
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. CoRR abs/2408.07869 (2024) - [i29]Xiaodong Yang, Xiaoting Li, Huiyuan Chen, Yiwei Cai:
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. CoRR abs/2408.10948 (2024) - [i28]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:
Matrix Profile for Anomaly Detection on Multidimensional Time Series. CoRR abs/2409.09298 (2024) - [i27]Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li:
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data. CoRR abs/2412.11044 (2024) - [i26]Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Xiaoting Li, Zhe Xu, Zhichen Zeng, Zhining Liu, Hanghang Tong:
THeGCN: Temporal Heterophilic Graph Convolutional Network. CoRR abs/2412.16435 (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
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. CIKM 2023: 504-513 - [c43]Kwei-Herng Lai
Tackling Diverse Minorities in Imbalanced Classification. CIKM 2023: 1178-1187 - [c42]Chin-Chia Michael Yeh
Toward a Foundation Model for Time Series Data. CIKM 2023: 4400-4404 - [c41]Chin-Chia Michael Yeh
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
Federated Few-shot Learning. KDD 2023: 2374-2385 - [c36]Zhe Xu
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
Adversarial Collaborative Filtering for Free. RecSys 2023: 245-255 - [c31]Huiyuan Chen
Hessian-aware Quantized Node Embeddings for Recommendation. RecSys 2023: 757-762 - [c30]Vivian Lai
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
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
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
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
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
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
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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