Face sketch-photo synthesis based on support vector regression. - Jiewei Zhang; Nannan Wang 001; Xinbo Gao 001; Dacheng Tao; Xuelong Li 001 (ICIP, 2011)

How Reliable Is Your Outsourcing Service for Data Mining? A Metamorphic Method for Verifying the Result Integrity. - Jiewei Zhang; Xiaoyuan Xie; Zhiyi Zhang 005 (SATE, 2018)

Performance Evaluation of Pallet Rental Companies: A Non-Oriented Super-Efficiency Integer-Valued DEA Model. - Jianwei Ren; Chunhua Chen 004; Bin Gao; Jiewei Zhang (IEEE Access, 2019)

Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets. - Chunhua Chen 004; Haohua Liu; Bo Liu 030; Jiewei Zhang; Bin Gao; Jianwei Ren (IEEE Access, 2020)

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. - Qihua Zhou; Song Guo 001; Zhihao Qu; Jingcai Guo; Zhenda Xu; Jiewei Zhang; Tao Guo 004; Boyuan Luo; Jingren Zhou 001 (USENIX ATC, 2021)

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. - Qihua Zhou; Song Guo 001; Yi Liu 057; Jie Zhang 076; Jiewei Zhang; Tao Guo 004; Zhenda Xu; Xun Liu; Zhihao Qu (NeurIPS, 2022)

Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space. - Tao Guo 004; Song Guo 001; Jiewei Zhang; Wenchao Xu 001; Junxiao Wang (CoRR, 2022)

(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. - Ziming Liu; Song Guo 001; Xiaocheng Lu; Jingcai Guo; Jiewei Zhang; Yue Zeng 002; Fushuo Huo (CVPR, 2023)

Towards Test-Time Refusals via Concept Negation. - Peiran Dong; Song Guo 001; Junxiao Wang; Bingjie Wang; Jiewei Zhang; Ziming Liu (NeurIPS, 2023)

GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. - Ziming Liu; Jingcai Guo; Xiaocheng Lu; Song Guo 001; Peiran Dong; Jiewei Zhang (CoRR, 2023)

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring. - Jiewei Zhang; Song Guo 001; Peiran Dong; Jie Zhang 076; Ziming Liu; Yue Yu 001; Xiao-Ming Wu (ICML, 2024)

Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration. - Tao Guo 004; Song Guo 001; Feijie Wu; Wenchao Xu 001; Jiewei Zhang; Qihua Zhou; Quan Chen 003; Weihua Zhuang (IEEE Trans. Mob. Comput., 2024)