Huiyuan Chen

发表

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems

Chin-Chia Michael Yeh, Huiyuan Chen, Fei Wang, 2022, WWW.

Adversarial Graph Perturbations for Recommendations at Scale

Huiyuan Chen, Fei Wang, Hao Yang, 2022, SIGIR.

Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph

Chin-Chia Michael Yeh, Junpeng Wang, Mengting Gu, 2022, KDD.

Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces

J. M. Phillips, Junpeng Wang, Wei Zhang, 2022, AMTA.

Towards Generating Adversarial Examples on Mixed-type Data

Han Xu, Huiyuan Chen, Hao Yang, 2022, ArXiv.

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems

Chin-Chia Michael Yeh, Huiyuan Chen, Hao Yang, 2022, RecSys.

Finding Stable Clustering for Noisy Data via Structure-Aware Representation

Jing Li, Huiyuan Chen, Jing Li, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Phenanthrene-bridged diarylethenes: Synthesis, photochromism and non-destructive readout

Heping Zeng, Jing Li, Junjie He, 2014 .

Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems

Yusan Lin, Chin-Chia Michael Yeh, Huiyuan Chen, 2021, SIGIR.

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

Jing Li, Huiyuan Chen, Jing Li, 2020, IJCAI.

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

Huiyuan Chen, Jing Li, Jing Li, 2020, IJCAI.

Context-aware Domain Adaptation for Time Series Anomaly Detection

Huiyuan Chen, Fei Wang, Hao Yang, 2023, SDM.

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection

Fei Wang, Yuhang Wu, Lan Wang, 2021, 2021 IEEE International Conference on Big Data (Big Data).

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

Huiyuan Chen, Jing Li, Feixiong Cheng, 2020, PLoS Comput. Biol..

In-depth analysis of music structure as a self-organized network

T. Hong, Huiyuan Chen, Nathan Wang, 2023, ArXiv.

Denoising Self-Attentive Sequential Recommendation

Chin-Chia Michael Yeh, Huiyuan Chen, Fei Wang, 2022, RecSys.

OutfitGAN: Learning Compatible Items for Generative Fashion Outfits

Maryam Moosaei, Huiyuan Chen, Fei Wang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Kernel Ridge Regression-Based Graph Dataset Distillation

H. Tong, Huiyuan Chen, Hao Yang, 2023, KDD.

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series pdf

Eamonn J. Keogh, Eamonn Keogh, Zhongfang Zhuang, 2021, SDM.

Tackling Diverse Minorities in Imbalanced Classification

D. Zha, M. Bendre, Huiyuan Chen, 2023, CIKM.

Collective Tensor Completion with Multiple Heterogeneous Side Information

Jing Li, Huiyuan Chen, Jing Li, 2019, 2019 IEEE International Conference on Big Data (Big Data).

EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding

Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, 2023, 2023 IEEE 16th Pacific Visualization Symposium (PacificVis).

Sharpness-Aware Graph Collaborative Filtering

Chin-Chia Michael Yeh, Junpeng Wang, Huiyuan Chen, 2023, SIGIR.

Adversarial Collaborative Filtering for Free

Chin-Chia Michael Yeh, Vivian Lai, Huiyuan Chen, 2023, RecSys.

Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network

Yusan Lin, Huiyuan Chen, Fei Wang, 2021, RecSys.

Collaborative Ranking Tags and Items via Cross-domain Recommendation

Jing Li, Huiyuan Chen, Jing Li, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Hessian-aware Quantized Node Embeddings for Recommendation

Chin-Chia Michael Yeh, Huiyuan Chen, Kaixiong Zhou, 2023, ACM Conference on Recommender Systems.

In-depth analysis of music structure as a text network

T. Hong, Huiyuan Chen, Nathan Wang, 2023, 2303.13631.