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2020 – today
- 2024
[c6]Tianyu Zhang
, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang:
CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. DASFAA (6) 2024: 418-428- [i10]Weitao Du, Shengchao Liu, Xuecang Zhang:
A quatum inspired neural network for geometric modeling. CoRR abs/2401.01801 (2024) - [i9]Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiaoyu Zhang, Weitao Du:
Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization. CoRR abs/2403.03425 (2024) - [i8]Bing Tian, Haikun Liu, Yuhang Tang, Shihai Xiao, Zhuohui Duan, Xiaofei Liao, Xuecang Zhang, Junhua Zhu, Yu Zhang:
FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search. CoRR abs/2409.16576 (2024) - 2023
- [j4]Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. Proc. VLDB Endow. 17(3): 455-468 (2023) - [j3]Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang:
CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4883-4896 (2023) - [c5]Guifeng Wang, Disheng Tang, Anatoli Shatsila, Xuecang Zhang:
MICA: Multi-channel Representation Refinement Contrastive Learning for Graph Fraud Detection. APWeb/WAIM (4) 2023: 31-46 - [c4]Enyu Yu, Hui Dong, Yuxiang Ren, Minzhi Yan, Xuecang Zhang, Yi Yang, Le Yue, Zhengbin Huang:
HRCA: A Heterogeneous Graph-based Adaptive Root Cause Analysis Framework. ISSREW 2023: 63-68 - [c3]Peng Peng, Shengyi Ji, Zhen Tian, Hongbo Jiang, Weiguo Zheng, Xuecang Zhang:
Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems. KDD 2023: 1885-1896 - [c2]Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu:
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. NeurIPS 2023 - [i7]Jiongkang Ni, Xiaoliang Xu, Yuxiang Wang, Can Li, Jiajie Yao, Shihai Xiao, Xuecang Zhang:
DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex. CoRR abs/2310.00402 (2023) - [i6]Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang:
Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). CoRR abs/2310.09872 (2023) - [i5]Shengyin Sun, Yuxiang Ren, Chen Ma, Xuecang Zhang:
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. CoRR abs/2311.14324 (2023) - [i4]Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. CoRR abs/2312.02473 (2023) - [i3]Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhiming Ma, Shengchao Liu:
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. CoRR abs/2312.03475 (2023) - 2022
- [j2]Teng Tian, Xiaotian Wang, Letian Zhao, Wei Wu, Xuecang Zhang, Fangmin Lu, Tianqi Wang, Xi Jin:
G-NMP: Accelerating Graph Neural Networks with DIMM-based Near-Memory Processing. J. Syst. Archit. 129: 102602 (2022) - [c1]Yuejia Zhang, Weiguo Zheng, Zhijie Zhang, Peng Peng, Xuecang Zhang:
Hybrid Subgraph Matching Framework Powered by Sketch Tree for Distributed Systems. ICDE 2022: 1031-1043 - 2020
- [i2]Dmitry Kolmakov, Xuecang Zhang:
A Generalization of the Allreduce Operation. CoRR abs/2004.09362 (2020)
2010 – 2019
- 2017
- [i1]Dmitry Yu. Ignatov, Alexander N. Filippov, Andrey D. Ignatov, Xuecang Zhang:
Automatic Analysis, Decomposition and Parallel Optimization of Large Homogeneous Networks. CoRR abs/1701.06595 (2017) - 2010
- [j1]Xuecang Zhang:
Mapped barycentric Chebyshev differentiation matrix method for the solution of regular Sturm-Liouville problems. Appl. Math. Comput. 217(5): 2266-2276 (2010)
Coauthor Index
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