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ORCIDDa-Wei Zhou 0001
Person information
- affiliation: Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Da-Wei Zhou 0002 — Pace PLC, Saltaire, UK
- Dawei Zhou — disambiguation page
- Dawei Zhou 0003
![[0000-0002-3611-4363]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3611-4363")
— Virginia Tech, VA, USA (and 3 more) - Dawei Zhou 0004 — Xidian University, Xi'an, China
- Dawei Zhou 0006 — Jiangsu University, Zhenjiang, China
- Dawei Zhou 0008 — China University of Mining and Technology, Xuzhou, China
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2020 – today
- 2024
[j7]Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan:
TV100: a TV series dataset that pre-trained CLIP has not seen. Frontiers Comput. Sci. 18(5): 185349 (2024)- [j6]Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan:
Contextualizing Meta-Learning via Learning to Decompose. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 117-133 (2024) - [c14]Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan:
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. CVPR 2024: 23554-23564 - [c13]Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning. ICML 2024 - [c12]Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan:
Continual Learning with Pre-Trained Models: A Survey. IJCAI 2024: 8363-8371 - [i20]Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan:
Continual Learning with Pre-Trained Models: A Survey. CoRR abs/2401.16386 (2024) - [i19]Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye, De-Chuan Zhan:
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning. CoRR abs/2403.12030 (2024) - [i18]Da-Wei Zhou, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan:
TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen. CoRR abs/2404.12407 (2024) - [i17]Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye:
Parrot: Multilingual Visual Instruction Tuning. CoRR abs/2406.02539 (2024) - [i16]Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan:
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning. CoRR abs/2409.07446 (2024) - 2023
- [j5]Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan:
PyCIL: a Python toolbox for class-incremental learning. Sci. China Inf. Sci. 66(9) (2023) - [j4]Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan:
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12816-12831 (2023) - [j3]Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang:
Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. IEEE Trans. Knowl. Data Eng. 35(4): 3575-3588 (2023) - [j2]Jingyi Ning, Lei Xie, Chuyu Wang, Yanling Bu, Fengyuan Xu, Da-Wei Zhou, Sanglu Lu, Baoliu Ye:
RF-Badge: Vital Sign-Based Authentication via RFID Tag Array on Badges. IEEE Trans. Mob. Comput. 22(2): 1170-1184 (2023) - [c11]Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan:
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. ICLR 2023 - [c10]Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao:
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. ICLR 2023 - [c9]Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Preserving Locality in Vision Transformers for Class Incremental Learning. ICME 2023: 1157-1162 - [c8]Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye:
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. NeurIPS 2023 - [i15]Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu:
Deep Class-Incremental Learning: A Survey. CoRR abs/2302.03648 (2023) - [i14]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu:
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need. CoRR abs/2303.07338 (2023) - [i13]Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Preserving Locality in Vision Transformers for Class Incremental Learning. CoRR abs/2304.06971 (2023) - [i12]Da-Wei Zhou, Yuanhan Zhang, Jingyi Ning, Han-Jia Ye, De-Chuan Zhan, Ziwei Liu:
Learning without Forgetting for Vision-Language Models. CoRR abs/2305.19270 (2023) - [i11]Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye:
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data. CoRR abs/2307.07509 (2023) - [i10]Hai-Long Sun, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox. CoRR abs/2309.07117 (2023) - [i9]Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye:
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. CoRR abs/2312.05229 (2023) - 2022
- [j1]Da-Wei Zhou, Yang Yang, De-Chuan Zhan:
Learning to Classify With Incremental New Class. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2429-2443 (2022) - [c7]Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan:
Forward Compatible Few-Shot Class-Incremental Learning. CVPR 2022: 9036-9046 - [c6]Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. ECCV (25) 2022: 398-414 - [c5]Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. INTERSPEECH 2022: 531-535 - [i8]Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan:
Forward Compatible Few-Shot Class-Incremental Learning. CoRR abs/2203.06953 (2022) - [i7]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. CoRR abs/2203.17030 (2022) - [i6]Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
FOSTER: Feature Boosting and Compression for Class-Incremental Learning. CoRR abs/2204.04662 (2022) - [i5]Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan:
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. CoRR abs/2205.13218 (2022) - 2021
- [c4]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Learning Placeholders for Open-Set Recognition. CVPR 2021: 4401-4410 - [c3]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Co-Transport for Class-Incremental Learning. ACM Multimedia 2021: 1645-1654 - [c2]Da-Wei Zhou, Yang Yang, De-Chuan Zhan:
Detecting Sequentially Novel Classes with Stable Generalization Ability. PAKDD (1) 2021: 371-382 - [i4]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Learning Placeholders for Open-Set Recognition. CoRR abs/2103.15086 (2021) - [i3]Han-Jia Ye, Da-Wei Zhou, Lanqing Hong, Zhenguo Li, Xiu-Shen Wei, De-Chuan Zhan:
Contextualizing Multiple Tasks via Learning to Decompose. CoRR abs/2106.08112 (2021) - [i2]Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Co-Transport for Class-Incremental Learning. CoRR abs/2107.12654 (2021) - [i1]Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, De-Chuan Zhan:
PyCIL: A Python Toolbox for Class-Incremental Learning. CoRR abs/2112.12533 (2021)
2010 – 2019
- 2019
- [c1]Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang:
Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. KDD 2019: 74-82
Coauthor Index
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