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2020 – today
- 2024
[j3]Guanhong Wang, Yang Zhou, Zhanhao He, Keyu Lu, Yang Feng
, Zuozhu Liu, Gaoang Wang:
Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition. Neurocomputing 571: 127136 (2024)- [c8]Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian:
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. CVPR 2024: 16880-16889 - [c7]Enxin Song, Wenhao Chai, Guanhong Wang, Yucheng Zhang, Haoyang Zhou, Feiyang Wu, Haozhe Chi, Xun Guo, Tian Ye, Yanting Zhang, Yan Lu, Jenq-Neng Hwang, Gaoang Wang:
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding. CVPR 2024: 18221-18232 - [c6]Zhenyu Zhang, Benlu Wang, Weijie Liang, Yizhi Li, Xuechen Guo, Guanhong Wang, Shiyan Li, Gaoang Wang:
Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning. ICASSP 2024: 1731-1735 - 2023
- [j2]Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Answering Private Linear Queries Adaptively using the Common Mechanism. Proc. VLDB Endow. 16(8): 1883-1896 (2023) - [j1]Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Free gap estimates from the exponential mechanism, sparse vector, noisy max and related algorithms. VLDB J. 32(1): 23-48 (2023) - [c5]Xuan Wang, Guanhong Wang, Wenhao Chai, Jiayu Zhou, Gaoang Wang:
User-Aware Prefix-Tuning Is a Good Learner for Personalized Image Captioning. PRCV (7) 2023: 384-395 - [i13]Zhonghan Zhao, Wenhao Chai, Shengyu Hao, Wenhao Hu, Guanhong Wang, Shidong Cao, Mingli Song, Jenq-Neng Hwang, Gaoang Wang:
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision. CoRR abs/2307.03353 (2023) - [i12]Enxin Song, Wenhao Chai, Guanhong Wang, Yucheng Zhang, Haoyang Zhou, Feiyang Wu, Xun Guo, Tian Ye, Yan Lu, Jenq-Neng Hwang, Gaoang Wang:
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding. CoRR abs/2307.16449 (2023) - [i11]Zeyu Ding, John Durrell, Daniel Kifer, Prottay Protivash, Guanhong Wang, Yuxin Wang, Yingtai Xiao, Danfeng Zhang:
A Floating-Point Secure Implementation of the Report Noisy Max with Gap Mechanism. CoRR abs/2308.08057 (2023) - [i10]Qiqian Fu, Guanhong Wang, Gaoang Wang:
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame Selector. CoRR abs/2309.09083 (2023) - [i9]Gaoang Wang, Zhenyu Zhang, Benlu Wang, Weijie Liang, Yizhi Li, Xuechen Guo, Guanhong Wang, Shiyan Li:
Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning. CoRR abs/2311.01004 (2023) - [i8]Xuan Wang, Guanhong Wang, Wenhao Chai, Jiayu Zhou, Gaoang Wang:
User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning. CoRR abs/2312.04793 (2023) - 2022
- [c4]Guanhong Wang, Keyu Lu, Yang Zhou, Zhanhao He, Gaoang Wang:
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training. ICME 2022: 1-6 - [c3]Haozhe Chi, Minghua Yang, Junhao Zhu, Guanhong Wang, Gaoang Wang:
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality. AACL/IJCNLP (1) 2022: 121-130 - [i7]Guanhong Wang, Keyu Lu, Yang Zhou, Zhanhao He, Gaoang Wang:
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training. CoRR abs/2204.12729 (2022) - [i6]Yang Zhou, Zhanhao He, Keyu Lu, Guanhong Wang, Gaoang Wang:
Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action Recognition. CoRR abs/2205.00506 (2022) - [i5]Haozhe Chi, Minghua Yang, Junhao Zhu, Guanhong Wang, Gaoang Wang:
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality. CoRR abs/2210.03428 (2022) - [i4]Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Answering Private Linear Queries Adaptively using the Common Mechanism. CoRR abs/2212.00135 (2022) - 2020
- [i3]Zeyu Ding, Yuxin Wang, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms. CoRR abs/2012.01592 (2020)
2010 – 2019
- 2019
- [c2]Yuxin Wang, Zeyu Ding, Guanhong Wang, Daniel Kifer, Danfeng Zhang:
Proving differential privacy with shadow execution. PLDI 2019: 655-669 - [i2]Yuxin Wang, Zeyu Ding, Guanhong Wang, Daniel Kifer, Danfeng Zhang:
Proving Differential Privacy with Shadow Execution. CoRR abs/1903.12254 (2019) - 2018
- [c1]Zeyu Ding, Yuxin Wang, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Detecting Violations of Differential Privacy. CCS 2018: 475-489 - [i1]Ding Ding, Yuxin Wang, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Toward Detecting Violations of Differential Privacy. CoRR abs/1805.10277 (2018)
Coauthor Index
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