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Ziao Wang
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2020 – today
- 2024
- [j13]Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang:
Noisy Computing of the OR and MAX Functions. IEEE J. Sel. Areas Inf. Theory 5: 302-313 (2024) - [j12]Yingling Li, Ziao Wang, Junjie Wang, Jie Chen, Rui Mou, Guibing Li:
Semantic-aware two-phase test case prioritization for continuous integration. Softw. Test. Verification Reliab. 34(1) (2024) - [j11]Ziao Wang, Yunpeng Ren, Xiaofeng Zhang, Yiyuan Wang:
Generating Long Financial Report Using Conditional Variational Autoencoders With Knowledge Distillation. IEEE Trans. Artif. Intell. 5(4): 1669-1680 (2024) - [j10]Ziao Wang, Xiaofeng Zhang, Hongwei Du:
Mutual Information Guided Financial Report Generation With Domain Adaption. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 627-640 (2024) - [j9]Alankrita Bhatt, Ziao Wang, Chi Wang, Lele Wang:
Universal Graph Compression: Stochastic Block Models. IEEE Trans. Inf. Theory 70(2): 1473-1497 (2024) - [j8]Ziao Wang, Ning Zhang, Weina Wang, Lele Wang:
On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment. IEEE Trans. Inf. Theory 70(5): 3622-3639 (2024) - [j7]Ning Zhang, Ziao Wang, Weina Wang, Lele Wang:
Attributed Graph Alignment. IEEE Trans. Inf. Theory 70(8): 5910-5934 (2024) - [j6]Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang:
Noisy Sorting Capacity. IEEE Trans. Inf. Theory 70(9): 6121-6138 (2024) - [j5]Chuan Hu, Ziao Wang, Xiangwei Bu, Jun Zhao, Jing Na, Hongbo Gao:
Optimal Tracking Control for Autonomous Vehicle With Prescribed Performance via Adaptive Dynamic Programming. IEEE Trans. Intell. Transp. Syst. 25(9): 12437-12449 (2024) - [c12]Ziao Wang, Weina Wang, Lele Wang:
Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation Extended Abstract. COLT 2024: 4889-4890 - [c11]Ziao Wang, Xiaofeng Zhang, Hongwei Du:
Beyond What If: Advancing Counterfactual Text Generation with Structural Causal Modeling. IJCAI 2024: 6522-6530 - [i14]Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang:
Noisy Computing of the Threshold Function. CoRR abs/2403.07227 (2024) - [i13]Kian Ahrabian, Casandra Rusti, Ziao Wang, Jay Pujara, Kristina Lerman:
Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis. CoRR abs/2409.07710 (2024) - [i12]Ziao Wang, Kilian Müller, Matthew J. Filipovich, Julien Launay, Ruben Ohana, Gustave Pariente, Safa Mokaadi, Charles Brossollet, Fabien Moreau, Alessandro Cappelli, Iacopo Poli, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Optical training of large-scale Transformers and deep neural networks with direct feedback alignment. CoRR abs/2409.12965 (2024) - 2023
- [j4]Ziao Wang, Weixing Wang, Jingxi Chen, Xuzhuang Zhang, Ziheng Miao:
Posture Risk Assessment and Workload Estimation for Material Handling by Computer Vision. Int. J. Intell. Syst. 2023: 1-19 (2023) - [j3]Weixing Wang, Qianqian Li, Jingwen Xie, Ningfeng Hu, Ziao Wang, Ning Zhang:
Research on emotional semantic retrieval of attention mechanism oriented to audio-visual synesthesia. Neurocomputing 519: 194-204 (2023) - [j2]Kai Chen, Ziao Wang, Kai Liu, Xiaofeng Zhang, Linhao Luo:
MedGraph: malicious edge detection in temporal reciprocal graph via multi-head attention-based GNN. Neural Comput. Appl. 35(12): 8919-8935 (2023) - [c10]Ziao Wang, Zelin Jiang, Xiaofeng Zhang, Jaehyeon Soon, Jialu Zhang, Wang Xiaoyao, Hongwei Du:
Beyond Pure Text: Summarizing Financial Reports Based on Both Textual and Tabular Data. IJCAI 2023: 5233-5241 - [c9]Ziao Wang, Nadim Ghaddar, Banghua Zhu, Lele Wang:
Variable-Length Insertion-Based Noisy Sorting. ISIT 2023: 1782-1787 - [c8]Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang:
On the Optimal Bounds for Noisy Computing. ISIT 2023: 1788-1793 - [i11]Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu:
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. CoRR abs/2306.08827 (2023) - [i10]Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang:
On the Optimal Bounds for Noisy Computing. CoRR abs/2306.11951 (2023) - [i9]Ziao Wang, Jianning Wang, Junda Wu, Xiaofeng Zhang:
An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model. CoRR abs/2308.01415 (2023) - [i8]Ziao Wang, Yuhang Li, Junda Wu, Jaehyeon Soon, Xiaofeng Zhang:
FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis. CoRR abs/2308.01430 (2023) - [i7]Ziao Wang, Weina Wang, Lele Wang:
Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation. CoRR abs/2308.09210 (2023) - [i6]Banghua Zhu, Ziao Wang, Nadim Ghaddar, Jiantao Jiao, Lele Wang:
Noisy Computing of the OR and MAX Functions. CoRR abs/2309.03986 (2023) - 2022
- [c7]Ziao Wang, Ning Zhang, Weina Wang, Lele Wang:
On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment. ISIT 2022: 1163-1168 - [c6]Ziao Wang, Nadim Ghaddar, Lele Wang:
Noisy Sorting Capacity. ISIT 2022: 2541-2546 - [i5]Ziao Wang, Ning Zhang, Weina Wang, Lele Wang:
On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment. CoRR abs/2201.10106 (2022) - [i4]Ziao Wang, Nadim Ghaddar, Lele Wang:
Noisy Sorting Capacity. CoRR abs/2202.01446 (2022) - 2021
- [j1]Yunpeng Ren, Wenxin Hu, Ziao Wang, Xiaofeng Zhang, Yiyuan Wang, Xuan Wang:
A hybrid deep generative neural model for financial report generation. Knowl. Based Syst. 227: 107093 (2021) - [c5]Yunpeng Ren, Ziao Wang, Yiyuan Wang, Xiaofeng Zhang:
Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation. AAAI 2021: 15879-15880 - [c4]Ziao Wang, Xiaofeng Zhang, Hongwei Du:
Building the Directed Semantic Graph for Coherent Long Text Generation. EMNLP (1) 2021: 2563-2572 - [c3]Wen Jiang, Yihui Ren, Ying Liu, Ziao Wang, Xinghua Wang:
Recognition of Dynamic Hand Gesture Based on Mm-Wave Fmcw Radar Micro-Doppler Signatures. ICASSP 2021: 4905-4909 - [c2]Alankrita Bhatt, Ziao Wang, Chi Wang, Lele Wang:
Universal Graph Compression: Stochastic Block Models. ISIT 2021: 3038-3043 - [c1]Shiyi Chen, Ziao Wang, Xinni Zhang, Xiaofeng Zhang, Dan Peng:
Probing Negative Sampling for Contrastive Learning to Learn Graph Representations. ECML/PKDD (2) 2021: 434-449 - [i3]Shiyi Chen, Ziao Wang, Xinni Zhang, Xiaofeng Zhang, Dan Peng:
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning. CoRR abs/2104.06317 (2021) - 2020
- [i2]Alankrita Bhatt, Chi Wang, Lele Wang, Ziao Wang:
Universal Graph Compression: Stochastic Block Models. CoRR abs/2006.02643 (2020) - [i1]Yunpeng Ren, Ziao Wang, Yiyuan Wang, Xiaofeng Zhang:
Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation. CoRR abs/2010.12188 (2020)
Coauthor Index
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last updated on 2024-10-21 20:33 CEST by the dblp team
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