Reduction of common-mode interference under different working modes of induction machine based on improved predictive torque control method. - Xiliang Chen; Wenjie Chen; Zifeng Zhao; Liyu Dai; Rui Wang; Yang Yang (IECON, 2017)

Knowledge Learning of Insurance Risks Using Dependence Models. - Zifeng Zhao; Peng Shi 003; Xiaoping Feng (INFORMS J. Comput., 2021)

Alternating Pruned Dynamic Programming for Multiple Epidemic Change-Point Estimation. - Zifeng Zhao; Chun Yip Yau (J. Comput. Graph. Stat., 2021)

Statistically and Computationally Efficient Change Point Localization in Regression Settings. - Daren Wang; Zifeng Zhao; Kevin Z. Lin; Rebecca Willett (J. Mach. Learn. Res., 2021)

Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction. - Zifeng Zhao; Rongzhi Gu; Dongchao Yang; Jinchuan Tian; Yuexian Zou (INTERSPEECH, 2022)

Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches. - Zifeng Zhao; Dongchao Yang; Rongzhi Gu; Haoran Zhang; Yuexian Zou (INTERSPEECH, 2022)

Change-point Detection for Sparse and Dense Functional Data in General Dimensions. - Carlos Misael Madrid Padilla; Daren Wang; Zifeng Zhao; Yi Yu (NeurIPS, 2022)

Functional Linear Regression with Mixed Predictors. - Daren Wang; Zifeng Zhao; Yi Yu; Rebecca Willett (J. Mach. Learn. Res., 2022)

Peer Learning via Shared Speech Representation Prediction for Target Speech Separation. - Xusheng Yang; Zifeng Zhao; Yuexian Zou (APSIPA, 2024)

PAIR: Periodically Alternate the Identity of Routers to Ensure Deadlock Freedom in NoC. - Zifeng Zhao; Xinghao Zhu; Jiyuan Bai; Gengsheng Chen (ASPDAC, 2024)

Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints. - Zifeng Zhao; Feiyu Jiang; Yi Yu (CoRR, 2024)

Anticipated Wait and Its Effects on Consumer Choice, Pricing, and Assortment Management. - Ruxian Wang; Chenxu Ke; Zifeng Zhao (Manuf. Serv. Oper. Manag., 2024)

RUNoC: Re-inject into the Underground Network to Alleviate Congestion in Large-Scale NoC. - Xinghao Zhu; Jiyuan Bai; Zifeng Zhao; Qirong Yu; Xiaofang Zhou; Gengsheng Chen (ASP-DAC, 2025)

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. - Hengxing Cai; Xiaochen Cai; Junhan Chang; Sihang Li 002; Lin Yao 003; Changxin Wang; Zhifeng Gao; Hongshuai Wang; Yongge Li; Mujie Lin; Shuwen Yang; Jiankun Wang 011; et al. (NAACL (Findings), 2025)

SNSeg: An R Package for Time Series Segmentation via Self-Normalization. - Shubo Sun; Zifeng Zhao; Feiyu Jiang; Xiaofeng Shao (R J., 2025)

Transfer Learning for Nonparametric Contextual Dynamic Pricing. - Fan Wang; Feiyu Jiang; Zifeng Zhao; Yi Yu (CoRR, 2025)

Locally Private Nonparametric Contextual Multi-armed Bandits. - Yuheng Ma 001; Feiyu Jiang; Zifeng Zhao; Hanfang Yang; Yi Yu (CoRR, 2025)