Caihua Shan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Vector Graphics

Top Venues

Publications

Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
Can Graph Learning Improve Task Planning? CoRR (2024)
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
Training-free Multi-objective Diffusion Model for 3D Molecule Generation. ICLR (2024)
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. KDD (2024)
Chenghua Gong, Yao Cheng, Xiang Li, Caihua Shan, Siqiang Luo, Chuan Shi
Towards Learning from Graphs with Heterophily: Progress and Future. CoRR (2024)
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. WWW (2023)
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI (2023)
Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads. Proc. ACM Manag. Data 1 (3) (2023)
Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li
Explaining Temporal Graph Models through an Explorer-Navigator Framework. ICLR (2023)
Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads. CoRR (2023)
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. CoRR (2023)
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. CoRR (2023)
Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin
COCLEP: Contrastive Learning-based Semi-Supervised Community Search. ICDE (2023)
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
Label Propagation for Graph Label Noise. CoRR (2023)
Xinnan Dai, Caihua Shan, Jie Zheng, Xiaoxiao Li, Dongsheng Li
Biological Factor Regulatory Neural Network. CoRR (2023)
Yao Cheng, Minjie Chen, Xiang Li, Caihua Shan, Ming Gao
Prioritized Propagation in Graph Neural Networks. CoRR (2023)
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. ICML (2023)
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. CoRR (2022)
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. ICML (2022)
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
RendNet: Unified 2D/3D Recognizer with Latent Space Rendering. CVPR (2022)
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. CoRR (2022)
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
CLARE: A Semi-supervised Community Detection Algorithm. KDD (2022)
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. KDD (2022)
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. CoRR (2022)
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. CIKM (2022)
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering. CoRR (2022)
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
CLARE: A Semi-supervised Community Detection Algorithm. CoRR (2022)
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, DongSheng Li
How Powerful is Graph Convolution for Recommendation? CoRR (2021)
Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao
On Analyzing Graphs with Motif-Paths. Proc. VLDB Endow. 14 (6) (2021)
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
Recognizing Vector Graphics without Rasterization. CoRR (2021)
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
Recognizing Vector Graphics without Rasterization. NeurIPS (2021)
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
Reinforcement Learning Enhanced Explainer for Graph Neural Networks. NeurIPS (2021)
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. CIKM (2021)
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li
How Powerful is Graph Convolution for Recommendation? CIKM (2021)
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. KDD (2020)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
A General Early-Stopping Module for Crowdsourced Ranking. DASFAA (2) (2020)
Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng
A Crowdsourcing Framework for Collecting Tabular Data. IEEE Trans. Knowl. Data Eng. 32 (11) (2020)
Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. ICDE (2020)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng
A Toolkit for Managing Multiple Crowdsourced Top-K Queries. CIKM (2020)
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. CoRR (2020)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
A General Early-Stopping Module for Crowdsourced Ranking. CoRR (2019)
Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. CoRR (2019)
Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng
T-Crowd: Effective Crowdsourcing for Tabular Data. ICDE (2018)
Yudian Zheng, Guoliang Li, Yuanbing Li, Caihua Shan, Reynold Cheng
Truth Inference in Crowdsourcing: Is the Problem Solved? Proc. VLDB Endow. 10 (5) (2017)
Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng
T-Crowd: Effective Crowdsourcing for Tabular Data. CoRR (2017)