Large margin distribution machine. - Teng Zhang 001; Zhi-Hua Zhou (KDD, 2014)

Multi-Class Optimal Margin Distribution Machine. - Teng Zhang 001; Zhi-Hua Zhou (ICML, 2017)

Efficient Label Contamination Attacks Against Black-Box Learning Models. - Mengchen Zhao; Bo An 001; Wei Gao 008; Teng Zhang 001 (IJCAI, 2017)

Optimal Margin Distribution Clustering. - Teng Zhang 001; Zhi-Hua Zhou (AAAI, 2018)

Semi-Supervised Optimal Margin Distribution Machines. - Teng Zhang 001; Zhi-Hua Zhou (IJCAI, 2018)

Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. - Zhi-Hao Tan; Teng Zhang 001; Wei Wang 028 (AAAI, 2019)

Optimal Margin Distribution Learning in Dynamic Environments. - Teng Zhang 001; Peng Zhao; Hai Jin 001 (AAAI, 2020)

Optimal Margin Distribution Machine with Sparsity Inducing Penalty. - Teng Zhang 001; Hai Jin 001 (BigComp, 2020)

Optimal Margin Distribution Machine for Multi-Instance Learning. - Teng Zhang 001; Hai Jin 001 (IJCAI, 2020)

Optimal Margin Distribution Machine. - Teng Zhang 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2020)

Partial Multi-Label Optimal Margin Distribution Machine. - Nan Cao 002; Teng Zhang 001; Hai Jin 001 (IJCAI, 2021)

On the noise estimation statistics. - Wei Gao 008; Teng Zhang 001; Bin-Bin Yang; Zhi-Hua Zhou (Artif. Intell., 2021)

Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution. - Nan Cao 002; Teng Zhang 001; Xuanhua Shi; Hai Jin 001 (IJCAI, 2022)

On the Optimization of Margin Distribution. - Meng-Zhang Qian; Zheng Ai; Teng Zhang 001; Wei Gao 008 (IJCAI, 2022)

Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network. - HaoHui Wei; Hong Huang 001; Teng Zhang 001; Xuanhua Shi; Hai Jin 001 (ECML/PKDD (2), 2022)

Entropy Weight Allocation: Positive-unlabeled Learning via Optimal Transport. - Wen Gu; Teng Zhang 001; Hai Jin 001 (SDM, 2022)

Detecting Arbitrage on Ethereum Through Feature Fusion and Positive-Unlabeled Learning. - Hai Jin 001; Chenchen Li; Jiang Xiao; Teng Zhang 001; Xiaohai Dai; Bo Li 001 (IEEE J. Sel. Areas Commun., 2022)

Incremental and Decremental Optimal Margin Distribution Learning. - Li-Jun Chen; Teng Zhang 001; Xuanhua Shi; Hai Jin 001 (IJCAI, 2023)

Scalable Optimal Margin Distribution Machine. - Yilin Wang; Nan Cao 002; Teng Zhang 001; Xuanhua Shi; Hai Jin 001 (IJCAI, 2023)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation. - Mengfan Li; Xuanhua Shi; Chenqi Qiao; Teng Zhang 001; Hai Jin 001 (CoRR, 2024)

RuYi: Optimizing Burst Buffer Through Automated, Fine-Grained Process-to-BB Mapping. - Yusheng Hua; Xuanhua Shi; Ligang He; Kang He; Teng Zhang 001; Hai Jin 001; Yong Chen 001 (IEEE Trans. Computers, 2025)

E2CNN: entity-type-enriched cascaded neural network for Chinese financial relation extraction. - Mengfan Li; Xuanhua Shi; Chenqi Qiao; Xiao Huang; Weihao Wang; Yao Wan 001; Teng Zhang 001; Hai Jin 001 (Frontiers Comput. Sci., 2025)