Skyline Nearest Neighbor Search on Multi-layer Graphs. - Wanqi Liu; Dong Wen 001; Hanchen Wang 001; Fan Zhang; Xubo Wang (ICDE Workshops, 2019)

I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space. - Wanqi Liu; Hanchen Wang 001; Ying Zhang 001; Wei Wang 011; Lu Qin 001 (ICDE, 2019)

I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space. - Wanqi Liu; Hanchen Wang 001; Ying Zhang 001; Lu Qin 001; Wenjie Zhang 001 (DASFAA (3), 2020)

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. - Hanchen Wang 001; Defu Lian; Ying Zhang 001; Lu Qin 001; Xuemin Lin 001 (IJCAI, 2020)

T3S: Effective Representation Learning for Trajectory Similarity Computation. - Peilun Yang; Hanchen Wang 001; Ying Zhang 001; Lu Qin 001; Wenjie Zhang 001; Xuemin Lin 001 (ICDE, 2021)

EI-LSH: An early-termination driven I/O efficient incremental c-approximate nearest neighbor search. - Wanqi Liu; Hanchen Wang 001; Ying Zhang 001; Wei Wang 011; Lu Qin 001; Xuemin Lin 001 (VLDB J., 2021)

Binarized graph neural network. - Hanchen Wang 001; Defu Lian; Ying Zhang 001; Lu Qin 001; Xiangjian He; Yiguang Lin; Xuemin Lin 001 (World Wide Web, 2021)

Designing Machine Learning Models for Graph Analytics - Hanchen Wang 001 (2021)

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. - Hanchen Wang 001; Ying Zhang 001; Lu Qin 001; Wei Wang 011; Wenjie Zhang 001; Xuemin Lin 001 (ICDE, 2022)

TMN: Trajectory Matching Networks for Predicting Similarity. - Peilun Yang; Hanchen Wang 001; Defu Lian; Ying Zhang 001; Lu Qin 001; Wenjie Zhang 001 (ICDE, 2022)

Neural Subgraph Counting with Wasserstein Estimator. - Hanchen Wang 001; Rong Hu; Ying Zhang 001; Lu Qin 001; Wei Wang 011; Wenjie Zhang 001 (SIGMOD Conference, 2022)

Powerful graph of graphs neural network for structured entity analysis. - Hanchen Wang 001; Defu Lian; Wanqi Liu; Dong Wen 001; Chen Chen 017; Xiaoyang Wang 002 (World Wide Web, 2022)

Polarity-based graph neural network for sign prediction in signed bipartite graphs. - Xianhang Zhang; Hanchen Wang 001; Jianke Yu; Chen Chen 017; Xiaoyang Wang 002; Wenjie Zhang 001 (World Wide Web, 2022)

Group-based Fraud Detection Network on e-Commerce Platforms. - Jianke Yu; Hanchen Wang 001; Xiaoyang Wang 002; Zhao Li 007; Lu Qin 001; Wenjie Zhang 001; Jian Liao; Ying Zhang 001 (KDD, 2023)

Bipartite graph capsule network. - Xianhang Zhang; Hanchen Wang 001; Jianke Yu; Chen Chen 017; Xiaoyang Wang 002; Wenjie Zhang 001 (World Wide Web (WWW), 2023)

FPGN: follower prediction framework for infectious disease prevention. - Jianke Yu; Xianhang Zhang; Hanchen Wang 001; Xiaoyang Wang 002; Wenjie Zhang 001; Ying Zhang 001 (World Wide Web (WWW), 2023)

TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data. - Zuocheng Ding; Yufan Chen; Hanchen Wang 001; Xiaoyang Wang 002; Wenjie Zhang 001; Ying Zhang 001 (ADC, 2024)

Bipartite Graph Analytics: Current Techniques and Future Trends. - Hanchen Wang 001; Kai Wang 037; Wenjie Zhang 001; Ying Zhang 001 (ICDE, 2024)

Neural Similarity Search on Supergraph Containment (Extended Abstract). - Hanchen Wang 001; Jianke Yu; Xiaoyang Wang 002; Chen Chen 017; Wenjie Zhang 001; Xuemin Lin 001 (ICDE, 2024)

GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. - Wei Huang 040; Hanchen Wang 001; Dong Wen 001; Xuefeng Chen 001; Wenjie Zhang 001; Ying Zhang 001 (ICDM, 2024)

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. - Lincan Li; Hanchen Wang 001; Wenjie Zhang 001; Adelle Coster (CoRR, 2024)

RIDA: A Robust Attack Framework on Incomplete Graphs. - Jianke Yu; Hanchen Wang 001; Chen Chen 017; Xiaoyang Wang 002; Wenjie Zhang 001; Ying Zhang 001 (CoRR, 2024)

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning. - Guangxin Su; Yifan Zhu; Wenjie Zhang 001; Hanchen Wang 001; Ying Zhang 001 (CoRR, 2024)

Simple and deep graph attention networks. - Guangxin Su; Hanchen Wang 001; Ying Zhang 001; Wenjie Zhang 001; Xuemin Lin 001 (Knowl. Based Syst., 2024)

Neural Similarity Search on Supergraph Containment. - Hanchen Wang 001; Jianke Yu; Xiaoyang Wang 002; Chen Chen 017; Wenjie Zhang 001; Xuemin Lin 001 (IEEE Trans. Knowl. Data Eng., 2024)

Influence maximization on hypergraphs via multi-hop influence estimation. - Xulu Gong; Hanchen Wang 001; Xiaoyang Wang 002; Chen Chen 017; Wenjie Zhang 001; Ying Zhang 001 (Inf. Process. Manag., 2024)

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. - Han Chen; Hanchen Wang 001; Hongmei Chen 003; Ying Zhang 001; Wenjie Zhang 001; Xuemin Lin 001 (IEEE Trans. Knowl. Data Eng., 2024)

Deep Learning Approaches for Similarity Computation: A Survey. - Peilun Yang; Hanchen Wang 001; Jianye Yang 001; Zhengping Qian; Ying Zhang 001; Xuemin Lin 001 (IEEE Trans. Knowl. Data Eng., 2024)

AIGC for Graphs: Current Techniques and Future Trends. - Hanchen Wang 001; Dawei Cheng; Ying Zhang 001; Wenjie Zhang 001 (ICDE, 2025)

Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks. - Peilun Yang; Hanchen Wang 001; Zhangyi Xu; Zhengping Qian; Yongheng Wang; Ying Zhang 001 (ICDE, 2025)

Covering K-Cliques in Billion-Scale Graphs. - Kaiyu Chen; Dong Wen 001; Hanchen Wang 001; Zhengyi Yang 001; Wenjie Zhang 001; Xuemin Lin 001 (WWW, 2025)

AI-Empowered Catalyst Discovery: A Survey from Classical Machine Learning Approaches to Large Language Models. - Yuanyuan Xu 002; Hanchen Wang 001; Wenjie Zhang 001; Lexing Xie; Yin Chen; Flora Salim; Ying Zhang 001; Justin Gooding; Toby Walsh (CoRR, 2025)

Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. - Jianke Yu; Hanchen Wang 001; Xiaoyang Wang 002; Zhao Li 007; Lu Qin 001; Wenjie Zhang 001; Jian Liao; Ying Zhang 001; Bailin Yang (IEEE Trans. Knowl. Data Eng., 2025)

DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching. - Wei Huang 040; Hanchen Wang 001; Dong Wen 001; Wenjie Zhang 001; Ying Zhang 001; Xuemin Lin 001 (CoRR, 2025)

Efficient and Accurate Subgraph Counting: A Bottom-up Flow-learning based Approach. - Qiuyu Guo; Jianye Yang 001; Wenjie Zhang 001; Hanchen Wang 001; Ying Zhang 001; Xuemin Lin 001 (Proc. VLDB Endow., 2025)

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN. - Wei Huang 040; Hanchen Wang 001; Dong Wen 001; Shaozhen Ma; Wenjie Zhang 001; Xuemin Lin 001 (CoRR, 2025)

WOCD: A Semi-Supervised Method for Overlapping Community Detection Using Weak Cliques. - Shaozhen Ma; Hanchen Wang 001; Dong Wen 001; Wenjie Zhang 001; Wei Huang 040; Ying Zhang 001 (CoRR, 2025)

Accelerating K-Core Computation in Temporal Graphs. - Zhuo Ma 005; Dong Wen 001; Hanchen Wang 001; Wentao Li 001; Wenjie Zhang 001; Xuemin Lin 001 (CoRR, 2025)

RIDA: a robust attack framework on incomplete graphs. - Jianke Yu; Hanchen Wang 001; Chen Chen 017; Xiaoyang Wang 002; Lu Qin 001; Wenjie Zhang 001; Ying Zhang 001; Xijuan Liu (World Wide Web (WWW), 2025)