A Semantic DBMS Prototype. - Liu Chen; Ting Yu 004 (ER Workshops, 2013)

A Schema-Less Data Model for the Web. - Liu Chen; Mengchi Liu; Ting Yu 004 (ER, 2015)

A Semantic Graph Model. - Liu Chen; Ting Yu 004; Mengchi Liu (OTM Conferences, 2015)

A linear time algorithm for maximal clique enumeration in large sparse graphs. - Ting Yu 004; Mengchi Liu (Inf. Process. Lett., 2017)

A memory efficient maximal clique enumeration method for sparse graphs with a parallel implementation. - Ting Yu 004; Mengchi Liu (Parallel Comput., 2019)

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (CoRR, 2020)

An Effective Algorithm for Classification of Text with Weak Sequential Relationships. - Qiqiang Xu; Ji Zhang 001; Ting Yu 004; Wenbin Zhang 002; Mingli Zhang; Yonglong Luo; Fulong Chen 002; Zhen Liu 017 (DEXA (2), 2021)

TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents. - Yifan He 005; Zhao Li 007; Lei Fu; Anhui Wang; Peng Zhang 001; Shuigeng Zhou; Ji Zhang 001; Ting Yu 004 (ACM Trans. Intell. Syst. Technol., 2021)

Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention. - Yuxin Wu; Zenghui Xu; Hongzhou Li; Yuquan Gan; Josh Jia-Ching Ying; Ting Yu 004; Ji Zhang 001 (ADMA (1), 2022)

A Parallel Framework for Streaming Graphs Computing. - Ting Jiang; Ting Yu 004; Zexian Hong; Zujie Ren; Ji Zhang 001 (IEEE Big Data, 2022)

IDGMS: a One-Stop Graph Mining System for Infectious Diseases. - Zenghui Xu; Ting Yu 004; Xingyun Hong; Mingzhang Li; Yang Zhang 042; Zujie Ren; Ji Zhang 001 (IEEE Big Data, 2022)

Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks. - Yang Zhang 042; Zhen Wang 037; Ting Yu 004; Mingming Lu; Zujie Ren; Ji Zhang 001 (IEEE Big Data, 2022)

A Generative Adversarial Active Learning Method for Effective Outlier Detection. - Mohamed Jaward Bah; Ji Zhang 001; Ting Yu 004; Feng Xia 001; Zhao Li 007; Shuigeng Zhou; Hongzhi Wang 001 (ICTAI, 2022)

Intelligent Computing: The Latest Advances, Challenges and Future. - Shiqiang Zhu; Ting Yu 004; Tao Xu; Hongyang Chen; Schahram Dustdar; Sylvain Gigan; Deniz Gündüz; Ekram Hossain 001; Yaochu Jin; Feng Lin; Bo Liu 004; Zhiguo Wan; et al. (CoRR, 2022)

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (Knowl. Based Syst., 2022)

A Survey on Contact Tracing: The Latest Advancements and Challenges. - Ting Jiang; Yang Zhang 042; Minhao Zhang; Ting Yu 004; Yizheng Chen 003; Chenhao Lu; Ji Zhang 001; Zhao Li 007; Jun Gao 003; Shuigeng Zhou (ACM Trans. Spatial Algorithms Syst., 2022)

EventsVista: Enhancing Event Visualization and Interpretation. - Mohamad Khalil Farhat; Ji Zhang 001; Xiaohui Tao 001; Tianning Li; Ting Yu 004 (BESC, 2023)

A Dataset for Entity Recognition of COVID-19 Public Opinion in Social Media. - Linlin Hou; Lingling Li; Dandan Ren; Xin Wang 030; Ting Yu 004; Ji Zhang 001 (BESC, 2023)

An Efficient Embedding Framework for Uncertain Attribute Graph. - Ting Jiang; Ting Yu 004; Xueting Qiao; Ji Zhang 001 (DEXA (2), 2023)

Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management. - Yifan He 005; Zhao Li 007; Zhenpeng Li; Shuigeng Zhou; Ting Yu 004; Ji Zhang 001 (IEEE Trans. Netw. Serv. Manag., 2023)

A fast approximate method for k-edge connected component detection in graphs with high accuracy. - Ting Yu 004; Mengchi Liu; Zujie Ren; Ji Zhang 001 (Inf. Sci., 2023)

High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing. - Shengrui Li; Yining Zhao; Jun Zhang 018; Ting Yu 004; Ji Zhang 001; Yue Gao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PICO: Accelerating All k-Core Paradigms on GPU. - Chen Zhao; Ting Yu 004; Zhigao Zheng 001; Yuanyuan Zhu 001; Song Jin; Bo Du 001; Dacheng Tao (APNet, 2024)

A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction. - Zenghui Xu; Mingzhang Li; Ting Yu 004; Linlin Hou; Peng Zhang 001; Rage Uday Kiran; Zhao Li 007; Ji Zhang 001 (DEXA (2), 2024)

Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. - Chuhan Hu; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Ting Yu 004; Hongyang Chen; Mengchi Liu; Jeffrey Xu Yu (ICDE, 2024)

SpeedCore: Space-efficient and Dependency-aware GPU Parallel Framework for Core Decomposition. - Chen Zhao; Ting Yu 004; Zhigao Zheng 001; Yuanyuan Zhu 001; Song Jin; Bo Du 001; Dacheng Tao (ICPP, 2024)

Equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for Information Diffusion Prediction. - Ye Lu; Ji Zhang 001; Ting Yu 004; Gaoming Yang (WISE (4), 2024)

PICO: Accelerating All k-Core Paradigms on GPU. - Chen Zhao; Ting Yu 004; Zhigao Zheng 001; Song Jin; Jiawei Jiang 001; Bo Du 001; Dacheng Tao (CoRR, 2024)

Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs. - Ting Yu 004; Ting Jiang; Mohamed Jaward Bah; Chen Zhao; Hao Huang 001; Mengchi Liu; Shuigeng Zhou; Zhao Li 007; Ji Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Penalized Flow Hypergraph Local Clustering. - Hao Zhong; Yubo Zhang; Chenggang Yan 001; Zuxing Xuan; Ting Yu 004; Ji Zhang 001; Shihui Ying; Yue Gao 002 (IEEE Trans. Knowl. Data Eng., 2024)

Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks. - Yang Zhang 042; Ting Yu 004; Shengqiang Chi; Zhen Wang 037; Yue Gao 002; Ji Zhang 001; Tianshu Zhou (ACM Trans. Knowl. Discov. Data, 2024)

Aspect-based Sentiment Analysis for COVID-19: A Heterogeneous Graph Convolutional Network Approach. - Linlin Hou; Wenhui Tu; Ting Yu 004; Ting Jiang; Mohamed Bah; Zenghui Xu; Yu Zhang 162; Gaoming Yang; Ji Zhang 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)