Yixin Chen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 29

Top Topics

Hierarchical Clustering

Graph Representation

Anomaly Detection

Top Venues

IEEE Trans. Serv. Comput.

Publications

Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. ICLR (2024)
Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao
Topology-aware Embedding Memory for Continual Learning on Expanding Networks. KDD (2024)
Zehao Dong, Muhan Zhang, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. ICLR (2024)
Jiarui Feng, Hao Liu, Lecheng Kong, Yixin Chen, Muhan Zhang
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models. CoRR (2024)
Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang
One For All: Towards Training One Graph Model For All Classification Tasks. ICLR (2024)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR (2024)
Shengxiang Hu, Guobing Zou, Song Yang, Bofeng Zhang, Yixin Chen
Large Language Model Meets Graph Neural Network in Knowledge Distillation. CoRR (2024)
Guobing Zou, Wenzhuo Yu, Shengxiang Hu, Yanglan Gan, Bofeng Zhang, Yixin Chen
FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction. IEEE Trans. Serv. Comput. 17 (3) (2024)
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack, Michael S. Avidan, Yixin Chen, Christopher Ryan King
Multi-view representation learning for tabular data integration using inter-feature relationships. J. Biomed. Informatics 151 (2024)
Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. WWW (2024)
Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao
Learning System Dynamics without Forgetting. CoRR (2024)
Zhenjie Yao, Yixin Chen, Jinwei Wang, Junjuan Li, Shuohua Chen, Shouling Wu, Yanhui Tu, Minghui Zhao, Luxia Zhang
Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis. ACM Trans. Comput. Heal. 5 (2) (2024)
Lecheng Kong, Christopher R. King, Bradley A. Fritz, Yixin Chen
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks. CoRR (2023)
Guobing Zou, Shiyi Lin, Shengxiang Hu, Shengyu Duan, Yanglan Gan, Bofeng Zhang, Yixin Chen
FHC-DQP: Federated Hierarchical Clustering for Distributed QoS Prediction. IEEE Trans. Serv. Comput. 16 (6) (2023)
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
Improving Heterogeneous Model Reuse by Density Estimation. IJCAI (2023)
Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher R. King
Time Associated Meta Learning for Clinical Prediction. CoRR (2023)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter Efficient Multi-task Model Fusion with Partial Linearization. CoRR (2023)
Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, Dacheng Tao
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions. ACM Multimedia (2023)
Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR (2023)
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
Improving Heterogeneous Model Reuse by Density Estimation. CoRR (2023)
Guobing Zou, Shiyi Lin, Shengxiang Hu, Yanglan Gan, Bofeng Zhang, Yixin Chen
MVGCL: Multi-View Graph Contrastive Learning for Service Recommendation. ICWS (2023)
Shengxiang Hu, Guobing Zou, Shiyi Lin, Liangrui Wu, Chenyang Zhou, Bofeng Zhang, Yixin Chen
Recurrent Transformer for Dynamic Graph Representation Learning with Edge Temporal States. CoRR (2023)
Guobing Zou, Shaogang Wu, Shengxiang Hu, Chenhong Cao, Yanglan Gan, Bofeng Zhang, Yixin Chen
NCRL: Neighborhood-Based Collaborative Residual Learning for Adaptive QoS Prediction. IEEE Trans. Serv. Comput. 16 (3) (2023)
Bo Wu, Zhenjie Yao, Yanhui Tu, Yixin Chen
A Dilated Transformer Network for Time Series Anomaly Detection. ICTAI (2022)
Bo Wu, Qian Xu, Zhenjie Yao, Yanhui Tu, Yixin Chen
VAE-TCN hybrid model for KPI Anomaly Detection. APNOMS (2022)
Shengxiang Hu, Guobing Zou, Bofeng Zhang, Shaogang Wu, Shiyi Lin, Yanglan Gan, Yixin Chen
Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning. ICSOC (2022)
Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR (2022)
Lecheng Kong, Yixin Chen, Muhan Zhang
Geodesic Graph Neural Network for Efficient Graph Representation Learning. NeurIPS (2022)
Shengchao Hu, Li Shen, Ya Zhang, Yixin Chen, Dacheng Tao
On Transforming Reinforcement Learning by Transformer: The Development Trajectory. CoRR (2022)