DIRSMIN: A Fault-Tolerant Switch for B-ISDN Applications Using Dilated Reduced-Stage MIN. - Tianming Zhang; Arun K. Somani (INFOCOM, 1995)

A queuing model for designing an optimal three-dimensional maintenance float system. - Amy Zhaohui Zeng; Tianming Zhang (Comput. Oper. Res., 1997)

Tetrahedral Mesh Editing with Local Feature Manipulations. - Chuhua Xian; Shuming Gao; Tianming Zhang (CAD/Graphics, 2011)

Maintenance Organization Value Chain Analysis and Its Formalization. - Tianming Zhang; Ying Wang; Chao Li (ICAIC (3), 2011)

An approach to automated decomposition of volumetric mesh. - Chuhua Xian; Shuming Gao; Tianming Zhang (Comput. Graph., 2011)

Semantic Cage Generation for FE Mesh Editing. - Chuhua Xian; Tianming Zhang; Shuming Gao (CAD/Graphics, 2013)

Minimum-Time Control of Local Quantum Gates for Two-Qubit Homonuclear Systems. - Tianming Zhang; Rebing Wu (ICONS, 2013)

Minimum-Time Selective Control of Homonuclear Spins. - Tianming Zhang; Rebing Wu; Fei-Hao Zhang; Tzyh Jong Tarn; Guilu Long 001 (IEEE Trans. Control. Syst. Technol., 2015)

Short-Term Non-Residential Load Forecasting Based on Multiple Sequences LSTM Recurrent Neural Network. - Runhai Jiao; Tianming Zhang; Yizhi Jiang; Hui He (IEEE Access, 2018)

Distributed Reachability Queries on Massive Graphs. - Tianming Zhang; Yunjun Gao; Congzheng Li; Congcong Ge; Wei Guo; Qiang Zhou (DASFAA (3), 2019)

Efficient Similarity Search on Quasi-Metric Graphs. - Tianming Zhang; Yunjun Gao; Lu Chen 001; Guanlin Chen; Shiliang Pu (IEEE Access, 2019)

Evaluation on the Efficiency of Water-Energy-Food Nexus Based on Data Envelopment Analysis (DEA) and Malmquist in Different Regions of China. - Tianming Zhang; Yejun Xu (Int. J. Comput. Intell. Syst., 2019)

Efficient distributed reachability querying of massive temporal graphs. - Tianming Zhang; Yunjun Gao; Lu Chen 001; Wei Guo; Shiliang Pu; Baihua Zheng; Christian S. Jensen (VLDB J., 2019)

Malicious SIM Cards Identification Method Based on Telecom Big Data Analytics. - Xiaoling Feng; Tianming Zhang; Yue Zhao; Zhi Yu; Long Yan; Bo Chen; Yulun Song (ICCDE, 2020)

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge. - Xiu-Shen Wei; Yu-Yan Xu; Yazhou Yao; Jia Wei; Si Xi; Wenyuan Xu; Weidong Zhang; Xiaoxin Lv; Dengpan Fu; Qing Li; Baoying Chen; Haojie Guo; et al. (CoRR, 2020)

Distributed time-respecting flow graph pattern matching on temporal graphs. - Tianming Zhang; Yunjun Gao; Linshan Qiu; Lu Chen 001; Qingyuan Linghu; Shiliang Pu (World Wide Web, 2020)

Towards distributed node similarity search on graphs. - Tianming Zhang; Yunjun Gao; Baihua Zheng; Lu Chen 001; Shiting Wen; Wei Guo (World Wide Web, 2020)

A Focally Discriminative Loss for Unsupervised Domain Adaptation. - Dongting Sun; Mengzhu Wang; Xurui Ma; Tianming Zhang; Nan Yin; Wei Yu 029; Zhigang Luo (ICONIP (1), 2021)

ForgeryNet - Face Forgery Analysis Challenge 2021: Methods and Results. - Yinan He; Lu Sheng; Jing Shao; Ziwei Liu 002; Zhaofan Zou; Zhizhi Guo; Shan Jiang; Curitis Sun; Guosheng Zhang; Keyao Wang; Haixiao Yue; Zhibin Hong; et al. (CoRR, 2021)

Time-Respecting Flow Graph Pattern Matching on Temporal Graphs. - Yunjun Gao; Tianming Zhang; Linshan Qiu; Qingyuan Linghu; Gang Chen 001 (IEEE Trans. Knowl. Data Eng., 2021)

Evaluation of the Utilization Efficiency of Water Resources in China Based on ZSG-DEA: A Perspective of Water-Energy-Food Nexus. - Tianming Zhang; Jing Huang 016; Yejun Xu (Int. J. Comput. Intell. Syst., 2022)

PACAM: A Pairwise-Allocated Strategy and Capability Average Matrix-Based Task Scheduling Approach for Edge Computing. - Feng Hong; Tianming Zhang; Bin Cao 004; Jing Fan (Secur. Commun. Networks, 2022)

Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition. - Shan Zhang; Bin Cao 004; Tianming Zhang; Yuqi Liu 002; Jing Fan (ACL (Findings), 2023)

Dual-Path Side Information Fusion for Sequential Recommendation. - Yu Zhang 006; Haiwei Pan; Kejia Zhang 001; Tianming Zhang; Qingquan Ren; Wenjie Li (IEEE Big Data, 2023)

Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs. - Xin-Wei Cai; Xiangyu Ke; Kai Wang; Lu Chen 001; Tianming Zhang; Qing Liu 008; Yunjun Gao (Proc. VLDB Endow., 2023)

Open World Semi-supervised Learning Based on Multi-scale Enhanced Feature. - Tianming Zhang; Kejia Zhang 001; Haiwei Pan; Yuechun Feng (APWeb/WAIM (5), 2024)

MPLinear: Multiscale Patch Linear Model for Long-Term Time Series Forecasting. - Qinkai Jiang; Chenyu Hou; Bin Cao 004; Tianming Zhang; Tiantian Li; Jing Fan (ICONIP (6), 2024)

TATKC: A Temporal Graph Neural Network for Fast Approximate Temporal Katz Centrality Ranking. - Tianming Zhang; Junkai Fang; Zhengyi Yang 001; Bin Cao 004; Jing Fan (WWW, 2024)

Efficient Exact and Approximate Betweenness Centrality Computation for Temporal Graphs. - Tianming Zhang; Yunjun Gao; Jie Zhao; Lu Chen 001; Lu Jin; Zhengyi Yang 001; Bin Cao 004; Jing Fan (WWW, 2024)

Multimodal Data Fusion for Few-shot Named Entity Recognition Method. - Tianming Zhang; Shan Zhang; Xi Liu; Bin Cao 004; Jing Fan (Int. J. Softw. Informatics, 2024)

Towards efficient simulation-based constrained temporal graph pattern matching. - Tianming Zhang; Xinwei Cai; Lu Chen 001; Zhengyi Yang 001; Yunjun Gao; Bin Cao 004; Jing Fan (World Wide Web (WWW), 2024)

TemsRoute: A temporally and socially aware routing framework for delay-tolerant networks. - Tianming Zhang; Renbo Zhang; Zhengyi Yang 001; Lu Chen 001; Yunjun Gao; Xiaochun Yang (Ad Hoc Networks, 2025)

Enhanced temporal graph neural network for predicting future citations on academic graphs: A dual clustering-driven and centrality-guided approach. - Tianming Zhang; Junkai Fang; Xuanyu Chen; Zhengyi Yang 001; Bin Cao 004 (Knowl. Based Syst., 2025)

Labeling-based centrality approaches for identifying critical edges on temporal graphs. - Tianming Zhang; Jie Zhao; Cibo Yu; Lu Chen 001; Yunjun Gao; Bin Cao 004; Jing Fan; Ge Yu (Frontiers Comput. Sci., 2025)

MemoriaNova: Optimizing Memory-Aware Model Inference for Edge Computing. - Renjun Zhang; Tianming Zhang; Zinuo Cai; Dongmei Li; Ruhui Ma; Rajkumar Buyya (ACM Trans. Archit. Code Optim., 2025)

CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs. - Tianming Zhang; Renbo Zhang; Zhengyi Yang 001; Yunjun Gao; Bin Cao 004; Jing Fan (CoRR, 2025)