Qi-Wei Wang

11 papers A* 3Journal 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Class-Incremental Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2023 A* conf
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.
ICLR
Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
2023 J jnl
Deep Class-Incremental Learning: A Survey.
CoRR
Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu
2023 A* conf
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration.
NeurIPS
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
2023 J jnl
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration.
CoRR
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
2023 A* conf
Learning Debiased Representations via Conditional Attribute Interpolation.
CVPR
Yi-Kai Zhang, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye
2023 J jnl
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data.
CoRR
Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye
2023 J jnl
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse.
CoRR
Yi-Kai Zhang, Lu Ren, Chao Yi, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye
2022 J jnl
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning.
CoRR
Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan
2018 J jnl
A High-Efficiency Data Collection Method Based on Maximum Recharging Benefit in Sensor Networks.
Sensors
Chao Sha, Qi-Wei Wang, Lu Zhang, Ruchuan Wang
2017 J jnl
A Biocompatible Colorimetric Triphenylamine- Dicyanovinyl Conjugated Fluorescent Probe for Selective and Sensitive Detection of Cyanide Ion in Aqueous Media and Living Cells.
Sensors
Zi-Hua Zheng, Zhi-Ke Li, Lin-Jiang Song, Qi-Wei Wang, Qing-Fei Huang, Li Yang
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski