Efficient triangle listing for billion-scale graphs. - Hao Zhang 098; Yuanyuan Zhu 001; Lu Qin 001; Hong Cheng 001; Jeffrey Xu Yu (IEEE BigData, 2016)

Efficient Local Clustering Coefficient Estimation in Massive Graphs. - Hao Zhang 098; Yuanyuan Zhu 001; Lu Qin 001; Hong Cheng 001; Jeffrey Xu Yu (DASFAA (2), 2017)

Efficient MapReduce algorithms for triangle listing in billion-scale graphs. - Yuanyuan Zhu 001; Hao Zhang 098; Lu Qin 001; Hong Cheng 001 (Distributed Parallel Databases, 2017)

Subgraph Matching: on Compression and Computation. - Miao Qiao; Hao Zhang 098; Hong Cheng 001 (Proc. VLDB Endow., 2017)

Graph Ordering: Towards the Optimal by Learning. - Kangfei Zhao; Yu Rong 001; Jeffrey Xu Yu; Junzhou Huang; Hao Zhang 098 (CoRR, 2020)

Distributed Subgraph Counting: A General Approach. - Hao Zhang 098; Jeffrey Xu Yu; Yikai Zhang 001; Kangfei Zhao; Hong Cheng 001 (Proc. VLDB Endow., 2020)

Fast Distributed Complex Join Processing. - Hao Zhang 098; Miao Qiao; Jeffrey Xu Yu; Hong Cheng 001 (ICDE, 2021)

A Learned Sketch for Subgraph Counting. - Kangfei Zhao; Jeffrey Xu Yu; Hao Zhang 098; Qiyan Li 002; Yu Rong 001 (SIGMOD Conference, 2021)

Graph Ordering: Towards the Optimal by Learning. - Kangfei Zhao; Yu Rong 001; Jeffrey Xu Yu; Wenbing Huang 001; Junzhou Huang; Hao Zhang 098 (WISE (1), 2021)

Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process. - Kangfei Zhao; Jeffrey Xu Yu; Zongyan He; Hao Zhang 098 (CoRR, 2021)

SQL-G: Efficient Graph Analytics by SQL. - Kangfei Zhao; Jiao Su; Jeffrey Xu Yu; Hao Zhang 098 (IEEE Trans. Knowl. Data Eng., 2021)

How Learning Can Help Complex Cyclic Join Decomposition. - Hao Zhang 098; Qiyan Li 002; Kangfei Zhao; Jeffrey Xu Yu; Yuanyuan Zhu 001 (ICDE, 2022)

Parallel Query Processing: To Separate Communication from Computation. - Hao Zhang 098; Jeffrey Xu Yu; Yikai Zhang 001; Kangfei Zhao (SIGMOD Conference, 2022)

Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process. - Kangfei Zhao; Jeffrey Xu Yu; Zongyan He; Rui Li; Hao Zhang 098 (SIGMOD Conference, 2022)

Learned sketch for subgraph counting: a holistic approach. - Kangfei Zhao; Jeffrey Xu Yu; Qiyan Li 002; Hao Zhang 098; Yu Rong 001 (VLDB J., 2023)

GES: High-Performance Graph Processing Engine and Service in Huawei. - Sen Gao; Jianwen Zhao; Hao Zhang 098; Shixuan Sun; Chen Liang; Gongye Chen; Wenliang Zhang; Bo Ren; Chao Liu 037; Chenyi Zhang 002; Quan Chen 002; Chao Li 009; et al. (SIGMOD Conference Companion, 2025)

OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML. - Xuanhe Zhou; Wei Zhou; Liguo Qi; Hao Zhang 098; Dihao Chen; Bingsheng He; Mian Lu; Guoliang Li 001; Fan Wu 006; Yuqiang Chen (SIGMOD Conference Companion, 2025)

Revisiting the Design of In-Memory Dynamic Graph Storage. - Jixian Su; Chiyu Hao; Shixuan Sun; Hao Zhang 098; Sen Gao; Jiaxin Jiang; Yao Chen 008; Chenyi Zhang 002; Bingsheng He; Minyi Guo (Proc. ACM Manag. Data, 2025)

TGraph: A Tensor-centric Graph Processing Framework. - Yongliang Zhang; Yuanyuan Zhu 001; Hao Zhang 098; Congli Gao; Yuyang Wang; Guojing Li; Tianyang Xu; Ming Zhong 002; Jiawei Jiang 001; Tieyun Qian; Chenyi Zhang 002; Jeffrey Xu Yu (Proc. ACM Manag. Data, 2025)

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning. - LASA Team; Weiwen Xu; Hou Pong Chan; Long Li; Mahani Aljunied; Ruifeng Yuan; Jianyu Wang; Chenghao Xiao; Guizhen Chen; Chaoqun Liu; Zhaodonghui Li; Yu Sun; et al. (CoRR, 2025)

ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning. - Yu Sun; Xingyu Qian; Weiwen Xu; Hao Zhang 098; Chenghao Xiao; Long Li; Yu Rong 001; Wenbing Huang 001; Qifeng Bai; Tingyang Xu (CoRR, 2025)

RapidStore: An Efficient Dynamic Graph Storage System for Concurrent Queries. - Chiyu Hao; Jixian Su; Shixuan Sun; Hao Zhang 098; Sen Gao; Jianwen Zhao; Chenyi Zhang 002; Jieru Zhao; Chen Chen 067; Minyi Guo (CoRR, 2025)