Single-class support vector machine for an out-of-vocabulary rejection of isolated words. - Dongzhi He; Yibin Hou; Zhangqin Huang; Zhihao Ding (ROBIO, 2009)

An analytic model for channel potential and subthreshold swing of the symmetric and asymmetric double-gate MOSFETs. - Zhihao Ding; Guangxi Hu; Jinglun Gu; Ran Liu 001; Lingli Wang; Tingao Tang (Microelectron. J., 2011)

Analytic models for electric potential and subthreshold swing of the dual-material double-gate MOSFET. - Ping Xiang; Zhihao Ding; Guangxi Hu; Hui Chol Ri; Ran Liu 001; Lingli Wang; Xing Zhou (ASICON, 2013)

A note on the lower bound for the Price of Anarchy of scheduling games on unrelated machines. - Yujie Yan; Zhihao Ding; Zhiyi Tan 001 (Discret. Appl. Math., 2015)

Scheduling to minimize the maximum total completion time per machine. - Long Wan; Zhihao Ding; Yunpeng Li; Qianqian Chen; Zhiyi Tan 001 (Eur. J. Oper. Res., 2015)

Headway control schemes to resist bus bunching. - Zhihao Ding (2016)

System-Level Simulation Platform for Device-to-Device Communications in 5G Networks. - Zhihao Ding; Pinyi Ren; Qinghe Du (ChinaCom (1), 2017)

Direction-of-arrival estimation for coherently distributed sources via symmetric uniform linear array. - Yanmei Ma; Ke Deng; Zhihao Ding (WCSP, 2017)

Mobility Based Routing Protocol with MAC Collision Improvement in Vehicular Ad Hoc Networks. - Zhihao Ding; Pinyi Ren; Qinghe Du (ICC Workshops, 2018)

Ant Colony Optimization Based Delay-Sensitive Routing Protocol in Vehicular Ad Hoc Networks. - Zhihao Ding; Pinyi Ren; Qinghe Du (IoTaaS, 2018)

Adaptive NN-based Root Cause Analysis in Volume Diagnosis for Yield Improvement. - Xin Huang; Min Qin; Ruosheng Xu; Cheng Chen; Shangling Jui; Zhihao Ding; Pengyun Li; Yu Huang (ITC, 2021)

Payment-Guard: Detecting fraudulent in-app purchases in iOS system. - Yadong Zhou; Tianyi Yue; Xiaoming Liu 011; Chao Shen 001; Lingling Tong; Zhihao Ding (Neurocomputing, 2021)

Infer-AVAE: An attribute inference model based on adversarial variational autoencoder. - Yadong Zhou; Zhihao Ding; Xiaoming Liu 011; Chao Shen 001; Lingling Tong; Xiaohong Guan (Neurocomputing, 2022)

A Case Study of an Automatic Package Layering Algorithm for Linux Distributions. - Jialin Tan; Lei Zhang; Jie Meng; Haolin Xue; Zheng Liu; Zhihao Ding; Qi Jing (CNIOT, 2023)

Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks. - Zhihao Ding; Jieming Shi 001; Qing Li 001; Jiannong Cao 001 (CoRR, 2023)

SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. - Zhihao Ding; Jieming Shi 001 (CoRR, 2023)

EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data. - Yuanhang Zou; Zhihao Ding; Jieming Shi 001; Shuting Guo; Chunchen Su; Yafei Zhang (Proc. VLDB Endow., 2023)

Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs. - Zhihao Ding; Jieming Shi 001; Qing Li 001; Jiannong Cao 001 (CIKM, 2024)

SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. - Zhihao Ding; Jieming Shi 001; Shiqi Shen; Xuequn Shang 001; Jiannong Cao 001; Zhipeng Wang; Zhi Gong (CIKM, 2024)

GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation. - Ziang Zhou; Zhihao Ding; Jieming Shi 001; Qing Li 001; Shiqi Shen (CoRR, 2024)

RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction. - Zhihao Ding; Ting Zhang; Yiran Li 004; Jieming Shi 001; Chen Jason Zhang (AAAI, 2025)

Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. - Xiayuan Huang; Jatin Arora 010; Abdullah Mesut Erzurumluoglu; Stephen A. Stanhope; Daniel Lam; Pierre Khoueiry; Jan N. Jensen; James Cai; Nathan Lawless; Jan Kriegl; Zhihao Ding; Johann de Jong; et al. (J. Am. Medical Informatics Assoc., 2025)

E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling. - Yunyang Li; Lin Huang; Zhihao Ding; Chu Wang; Xinran Wei; Han Yang; Zun Wang; Chang Liu 030; Yu Shi; Peiran Jin; Jia Zhang 004; Mark Gerstein; et al. (CoRR, 2025)

Large Language Models are in-Context Molecule Learners. - Jiatong Li 003; Wei Liu 123; Zhihao Ding; Wenqi Fan; Yuqiang Li; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)