Xuecang Zhang - RankMe

27 papers A* 5A 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dynamic NN-Descent: An Efficient k-NN Graph Construction Method. IEEE Trans. Big Data Jie-Feng Wang, Wan-Lei Zhao, Shihai Xiao, Jiajie Yao, Xuecang Zhang
2025	A*	`conf`	GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. AAAI Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma
2025	J	`jnl`	GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. CoRR Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma
2025	J	`jnl`	Generating $k$kk-Hop-Constrained $s$ss-$t$tt Path Graphs. IEEE Trans. Knowl. Data Eng. Yuzheng Cai, Siyuan Liu, Weiguo Zheng, Xuemin Lin, Chengbo Zhang, Xuecang Zhang
2025	A*	`conf`	Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. AAAI Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
2025	J	`jnl`	Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization. BMC Bioinform. Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiao-Yu Zhang, Weitao Du
2025	A	`conf`	Towards High-throughput and Low-latency Billion-scale Vector Search via CPU/GPU Collaborative Filtering and Re-ranking. FAST Bing Tian, Haikun Liu, Yuhang Tang, Shihai Xiao, Zhuohui Duan, Xiaofei Liao, Hai Jin, Xuecang Zhang, Junhua Zhu, Yu Zhang
2024	J	`jnl`	A quatum inspired neural network for geometric modeling. CoRR Weitao Du, Shengchao Liu, Xuecang Zhang
2024	—	`conf`	CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations. DASFAA (6) Tianyu Zhang, Yuxiang Ren, Wenzheng Feng, Weitao Du, Xuecang Zhang
2024	J	`jnl`	FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search. CoRR Bing Tian, Haikun Liu, Yuhang Tang, Shihai Xiao, Zhuohui Duan, Xiaofei Liao, Xuecang Zhang, Junhua Zhu, Yu Zhang
2024	J	`jnl`	Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization. CoRR Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiaoyu Zhang, Weitao Du
2023	J	`jnl`	CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang
2023	J	`jnl`	DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex. CoRR Jiongkang Ni, Xiaoliang Xu, Yuxiang Wang, Can Li, Jiajie Yao, Shihai Xiao, Xuecang Zhang
2023	J	`jnl`	Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). CoRR Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
2023	—	`conf`	HRCA: A Heterogeneous Graph-based Adaptive Root Cause Analysis Framework. ISSREW Enyu Yu, Hui Dong, Yuxiang Ren, Minzhi Yan, Xuecang Zhang, Yi Yang, Le Yue, Zhengbin Huang
2023	J	`jnl`	Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. CoRR Shengyin Sun, Yuxiang Ren, Chen Ma, Xuecang Zhang
2023	A*	`conf`	Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems. KDD Peng Peng, Shengyi Ji, Zhen Tian, Hongbo Jiang, Weiguo Zheng, Xuecang Zhang
2023	—	`conf`	MICA: Multi-channel Representation Refinement Contrastive Learning for Graph Fraud Detection. APWeb/WAIM (4) Guifeng Wang, Disheng Tang, Anatoli Shatsila, Xuecang Zhang
2023	A*	`conf`	Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. NeurIPS Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu
2023	J	`jnl`	Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion. CoRR Weitao Du, Jiujiu Chen, Xuecang Zhang, Zhiming Ma, Shengchao Liu
2023	J	`jnl`	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. CoRR Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
2023	J	`jnl`	NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. Proc. VLDB Endow. Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
2022	J	`jnl`	G-NMP: Accelerating Graph Neural Networks with DIMM-based Near-Memory Processing. J. Syst. Archit. Teng Tian, Xiaotian Wang, Letian Zhao, Wei Wu, Xuecang Zhang, Fangmin Lu, Tianqi Wang, Xi Jin
2022	A*	`conf`	Hybrid Subgraph Matching Framework Powered by Sketch Tree for Distributed Systems. ICDE Yuejia Zhang, Weiguo Zheng, Zhijie Zhang, Peng Peng, Xuecang Zhang
2020	J	`jnl`	A Generalization of the Allreduce Operation. CoRR Dmitry Kolmakov, Xuecang Zhang
2017	J	`jnl`	Automatic Analysis, Decomposition and Parallel Optimization of Large Homogeneous Networks. CoRR Dmitry Yu. Ignatov, Alexander N. Filippov, Andrey D. Ignatov, Xuecang Zhang
2010	J	`jnl`	Mapped barycentric Chebyshev differentiation matrix method for the solution of regular Sturm-Liouville problems. Appl. Math. Comput. Xuecang Zhang