Xinwei He

29 papers A* 4A 2B 2C 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
CRQCDM: A Causal Representation and Contextual Q-Matrix Cognitive Diagnosis Model.
PRICAI
Zhiwei Cai, Xinwei He, Fanzhi Zeng, Yan Zhou, Jiahao Yu, Yuexia Zhou, Xiangyu Liu
2025 J jnl
CYCLONE: recycle contrastive learning for integrating single-cell gene expression data.
BMC Bioinform.
Han Ji, Xinwei He, Hongwei Li
2025 A* conf
ContextGNN: Beyond Two-Tower Recommendation Systems.
ICLR
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaz Stojanovic, Shenyang Huang, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
2025 J jnl
Multicellular Network-Informed Survival Model for Identification of Drug Targets of Gliomas.
IEEE J. Biomed. Health Informatics
Xinwei He, Xiaoqiang Sun, Yongzhao Shao
2025 A conf
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection.
ICME
Jiajie Quan, Ao Tong, Yuxuan Cai, Xinwei He, Yulong Wang, Yang Zhou
2025 J jnl
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection.
CoRR
Jiajie Quan, Ao Tong, Yuxuan Cai, Xinwei He, Yulong Wang, Yang Zhou
2025 J jnl
PyG 2.0: Scalable Learning on Real World Graphs.
CoRR
Matthias Fey, Jinu Sunil, Akihiro Nitta, Rishi Puri, Manan Shah, Blaz Stojanovic, Ramona Bendias, Alexandria Barghi, Vid Kocijan, Zecheng Zhang, Xinwei He, Jan Eric Lenssen, Jure Leskovec
2025 B conf
RAGCD: Relation-Aware Graph for Cognitive Diagnosis.
PRICAI
Xinwei He, Zhiwei Cai, Fanzhi Zeng, Yan Zhou, Yuexia Zhou, Xiangyu Liu
2025 J jnl
Tgcpn: two-level grid context propagation network for 3D small object detection.
Pattern Anal. Appl.
Yan Zhou, Lei Pu, Xuemiao Xu, Chang'an Yi, Xinwei He, Yuexia Zhou, Yewen Xu
2025 A* conf
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation.
CVPR
Silin Cheng, Yang Liu, Xinwei He, Sébastien Ourselin, Lei Tan, Gen Luo
2025 J jnl
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation.
CoRR
Yang Liu, Silin Cheng, Xinwei He, Sébastien Ourselin, Lei Tan, Gen Luo
2024 J jnl
A pixel and channel enhanced up-sampling module for biomedical image segmentation.
Mach. Vis. Appl.
Xuan Zhang, Guoping Xu, Xinglong Wu, Wentao Liao, Xuesong Leng, Xiaxia Wang, Xinwei He, Chang Li
2024 J jnl
ContextGNN: Beyond Two-Tower Recommendation Systems.
CoRR
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Dong Wang, Manan Shah, Shenyang Huang, Blaz Stojanovic, Alan Krumholz, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
2024 J jnl
Integration of scRNA-seq data by disentangled representation learning with condition domain adaptation.
BMC Bioinform.
Renjing Liu, Kun Qian, Xinwei He, Hongwei Li
2024 A* conf
RelBench: A Benchmark for Deep Learning on Relational Databases.
NeurIPS
Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec
2024 J jnl
RelBench: A Benchmark for Deep Learning on Relational Databases.
CoRR
Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec
2023 J jnl
Haar wavelet downsampling: A simple but effective downsampling module for semantic segmentation.
Pattern Recognit.
Guoping Xu, Wentao Liao, Xuan Zhang, Chang Li, Xinwei He, Xinglong Wu
2023 — conf
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation.
PRCV (8)
Guoping Xu, Xuan Zhang, Xinwei He, Xinglong Wu
2023 J jnl
scAce: an adaptive embedding and clustering method for single-cell gene expression data.
Bioinform.
Xinwei He, Kun Qian, Ziqian Wang, Shirou Zeng, Hongwei Li, Wei Vivian Li
2021 J jnl
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation.
CoRR
Guoping Xu, Xingrong Wu, Xuan Zhang, Xinwei He
2020 J jnl
Complexity of Leading Digit Sequences.
Discret. Math. Theor. Comput. Sci.
Xinwei He, A. J. Hildebrand, Yuchen Li, Yunyi Zhang
2019 A conf
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity.
CIKM
Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
2019 J jnl
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity.
CoRR
Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
2019 J jnl
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series.
CoRR
Feng Yin, Lishuo Pan, Xinwei He, Tianshi Chen, Sergios Theodoridis, Zhi-Quan Tom Luo
2019 — conf
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription.
ECML/PKDD (1)
Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han
2018 A* conf
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach.
SIGIR
Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han
2018 J jnl
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach.
CoRR
Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han
2018 J jnl
Higher-Order Clustering in Heterogeneous Information Networks.
CoRR
Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han
2018 C conf
Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression.
FUSION
Feng Yin, Xinwei He, Lishuo Pan, Tianshi Chen, Zhi-Quan Tom Luo, Sergios Theodoridis