Xuecang Zhang

According to our database, Xuecang Zhang authored at least 18 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search.

Bing Tian, Haikun Liu, Yuhang Tang, Shihai Xiao, Zhuohui Duan, Xiaofei Liao, Xuecang Zhang, Junhua Zhu, Yu Zhang

CoRR, 2024

Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization.

Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiaoyu Zhang, Weitao Du

CoRR, 2024

A quatum inspired neural network for geometric modeling.

Weitao Du, Shengchao Liu, Xuecang Zhang

CoRR, 2024

CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations.

Tianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling.

Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams.

Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu

Proc. VLDB Endow., November, 2023

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.

Shengyin Sun, Yuxiang Ren, Chen Ma, Xuecang Zhang

CoRR, 2023

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).

Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang

CoRR, 2023

DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex.

Jiongkang Ni, Xiaoliang Xu, Yuxiang Wang, Can Li, Jiajie Yao, Shihai Xiao, Xuecang Zhang

CoRR, 2023

Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion.

Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems.

Peng Peng, Shengyi Ji, Zhen Tian, Hongbo Jiang, Weiguo Zheng, Xuecang Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HRCA: A Heterogeneous Graph-based Adaptive Root Cause Analysis Framework.

Enyu Yu, Hui Dong, Yuxiang Ren, Minzhi Yan, Xuecang Zhang, Yi Yang, Le Yue, Zhengbin Huang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

MICA: Multi-channel Representation Refinement Contrastive Learning for Graph Fraud Detection.

Guifeng Wang, Disheng Tang, Anatoli Shatsila, Xuecang Zhang

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

G-NMP: Accelerating Graph Neural Networks with DIMM-based Near-Memory Processing.

Teng Tian, Xiaotian Wang, Letian Zhao, Wei Wu, Xuecang Zhang, Fangmin Lu, Tianqi Wang, Xi Jin

J. Syst. Archit., 2022

Hybrid Subgraph Matching Framework Powered by Sketch Tree for Distributed Systems.

Yuejia Zhang, Weiguo Zheng, Zhijie Zhang, Peng Peng, Xuecang Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020

A Generalization of the Allreduce Operation.

Dmitry Kolmakov, Xuecang Zhang

CoRR, 2020

2017

Automatic Analysis, Decomposition and Parallel Optimization of Large Homogeneous Networks.

Dmitry Yu. Ignatov, Alexander N. Filippov, Andrey D. Ignatov, Xuecang Zhang

CoRR, 2017

2010

Mapped barycentric Chebyshev differentiation matrix method for the solution of regular Sturm-Liouville problems.

Xuecang Zhang

Appl. Math. Comput., 2010