Mapped barycentric Chebyshev differentiation matrix method for the solution of regular Sturm-Liouville problems. - Xuecang Zhang (Appl. Math. Comput., 2010)

Automatic Analysis, Decomposition and Parallel Optimization of Large Homogeneous Networks. - Dmitry Yu. Ignatov; Alexander N. Filippov; Andrey D. Ignatov; Xuecang Zhang (CoRR, 2017)

A Generalization of the Allreduce Operation. - Dmitry Kolmakov; Xuecang Zhang (CoRR, 2020)

Hybrid Subgraph Matching Framework Powered by Sketch Tree for Distributed Systems. - Yuejia Zhang; Weiguo Zheng; Zhijie Zhang 004; Peng Peng 001; Xuecang Zhang (ICDE, 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 002 (J. Syst. Archit., 2022)

MICA: Multi-channel Representation Refinement Contrastive Learning for Graph Fraud Detection. - Guifeng Wang; Disheng Tang; Anatoli Shatsila; Xuecang Zhang (APWeb/WAIM (4), 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 (ISSREW, 2023)

Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems. - Peng Peng 001; Shengyi Ji; Zhen Tian; Hongbo Jiang 001; Weiguo Zheng; Xuecang Zhang (KDD, 2023)

Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. - Weitao Du; Jiujiu Chen; Xuecang Zhang; Zhi-Ming Ma; Shengchao Liu (NeurIPS, 2023)

DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex. - Jiongkang Ni; Xiaoliang Xu; Yuxiang Wang 001; Can Li; Jiajie Yao; Shihai Xiao; Xuecang Zhang (CoRR, 2023)

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (CoRR, 2023)

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. - Shengyin Sun; Yuxiang Ren; Chen Ma 001; Xuecang Zhang (CoRR, 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 002; Ge Yu 001 (Proc. VLDB Endow., 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 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. - Tianyu Zhang; Yuxiang Ren; Wenzheng Feng; Weitao Du; Xuecang Zhang (DASFAA (6), 2024)

A quatum inspired neural network for geometric modeling. - Weitao Du; Shengchao Liu; Xuecang 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)

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 027 (CoRR, 2024)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (AAAI, 2025)

GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. - Shengyin Sun; Wenhao Yu 014; Yuxiang Ren; Weitao Du; Liwei Liu; Xuecang Zhang; Ying Hu; Chen Ma 001 (AAAI, 2025)

Towards High-throughput and Low-latency Billion-scale Vector Search via CPU/GPU Collaborative Filtering and Re-ranking. - Bing Tian; Haikun Liu; Yuhang Tang; Shihai Xiao; Zhuohui Duan; Xiaofei Liao; Hai Jin 001; Xuecang Zhang; Junhua Zhu; Yu Zhang 027 (FAST, 2025)

Dynamic NN-Descent: An Efficient k-NN Graph Construction Method. - Jie-Feng Wang; Wan-Lei Zhao; Shihai Xiao; Jiajie Yao; Xuecang Zhang (IEEE Trans. Big Data, 2025)

Generating $k$kk-Hop-Constrained $s$ss-$t$tt Path Graphs. - Yuzheng Cai; Siyuan Liu; Weiguo Zheng; Xuemin Lin 001; Chengbo Zhang; Xuecang Zhang (IEEE Trans. Knowl. Data Eng., 2025)

Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization. - Kaiwei Zhang; Yange Lin; Guangcheng Wu; Yuxiang Ren; Xuecang Zhang; Bo Wang; Xiao-Yu Zhang; Weitao Du (BMC Bioinform., 2025)