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Xiyue Zhang
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2020 – today
- 2024
- [j10]Ji Quan, Xiyue Zhang, Wenman Chen
, Caixia Tang, Xianjia Wang:
Reputation-dependent social learning on the evolution of cooperation in spatial public goods games. Appl. Math. Comput. 475: 128745 (2024) - [j9]Zeming Wei, Xiyue Zhang, Yihao Zhang, Meng Sun
Weighted automata extraction and explanation of recurrent neural networks for natural language tasks. J. Log. Algebraic Methods Program. 136: 100907 (2024) - [c27]Matthias König, Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn:
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks. ECML/PKDD (7) 2024: 383-398 - [c26]Xiyue Zhang, Benjie Wang, Marta Kwiatkowska:
Provable Preimage Under-Approximation for Neural Networks. TACAS (3) 2024: 3-23 - [i14]Matthias König, Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn:
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks. CoRR abs/2406.10154 (2024) - [i13]Xiaokun Luan, Xiyue Zhang, Jingyi Wang, Meng Sun:
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection. CoRR abs/2407.03883 (2024) - [i12]Xiyue Zhang, Benjie Wang, Marta Kwiatkowska, Huan Zhang:
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks. CoRR abs/2408.09262 (2024) - [i11]Jialuo Chen, Jingyi Wang, Xiyue Zhang, Youcheng Sun, Marta Kwiatkowska, Jiming Chen, Peng Cheng:
FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection. CoRR abs/2409.09130 (2024) - 2023
- [j8]Xiyue Zhang
Aging of Amateur Singers and Non-singers: From Behavior to Resting-state Connectivity. J. Cogn. Neurosci. 35(12): 2049-2066 (2023) - [j7]Kathy Cheng
In the Age of Collaboration, the Computer-Aided Design Ecosystem is Behind: An Interview Study of Distributed CAD Practice. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-29 (2023) - [j6]Ping Wang
Rollover Prevention Control of Electric Vehicles Based on Multi-Objective Optimization Coordination Under Extreme Conditions. IEEE Trans. Veh. Technol. 72(10): 12784-12798 (2023) - [c25]Marta Kwiatkowska
When to Trust AI: Advances and Challenges for Certification of Neural Networks. FedCSIS 2023: 25-37 - [c24]Xiaoyong Xue, Xiyue Zhang, Meng Sun:
kProp: Multi-neuron Relaxation Method for Neural Network Robustness Verification. FSEN 2023: 142-156 - [c23]Yihao Zhang, Zeming Wei, Xiyue Zhang, Meng Sun:
Using Z3 for Formal Modeling and Verification of FNN Global Robustness (S). SEKE 2023: 110-113 - [i10]Yihao Zhang, Zeming Wei, Xiyue Zhang, Meng Sun:
Using Z3 for Formal Modeling and Verification of FNN Global Robustness. CoRR abs/2304.10558 (2023) - [i9]Xiyue Zhang, Benjie Wang, Marta Kwiatkowska:
On Preimage Approximation for Neural Networks. CoRR abs/2305.03686 (2023) - [i8]Zeming Wei, Xiyue Zhang, Yihao Zhang, Meng Sun:
Weighted Automata Extraction and Explanation of Recurrent Neural Networks for Natural Language Tasks. CoRR abs/2306.14040 (2023) - [i7]Marta Kwiatkowska, Xiyue Zhang:
When to Trust AI: Advances and Challenges for Certification of Neural Networks. CoRR abs/2309.11196 (2023) - 2022
- [j5]Weidi Sun, Yuteng Lu, Xiyue Zhang, Meng Sun
DeepGlobal: A framework for global robustness verification of feedforward neural networks. J. Syst. Archit. 128: 102582 (2022) - [j4]Xiyue Zhang
Forecasting traffic flow with spatial-temporal convolutional graph attention networks. Neural Comput. Appl. 34(18): 15457-15479 (2022) - [c22]Zeming Wei, Xiyue Zhang, Meng Sun:
Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages. ICFEM 2022: 370-385 - [c21]Xiyue Zhang, Xiaohong Chen, Meng Sun:
Towards a Unifying Logical Framework for Neural Networks. ICTAC 2022: 442-461 - [i6]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR abs/2201.02435 (2022) - [i5]Zeming Wei, Xiyue Zhang, Meng Sun:
Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages. CoRR abs/2206.14621 (2022) - 2021
- [j3]Weina Niu
Malware on Internet of UAVs Detection Combining String Matching and Fourier Transformation. IEEE Internet Things J. 8(12): 9905-9919 (2021) - [c20]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021: 4486-4493 - [c19]Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun:
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks. AAAI 2021: 11699-11707 - [c18]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI 2021: 15008-15015 - [c17]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI 2021: 1631-1637 - [c16]Xiaokun Luan, Xiyue Zhang
Using LSTM to Predict Tactics in Coq. SEKE 2021: 132-137 - [c15]Weidi Sun, Yuteng Lu, Xiyue Zhang, Meng Sun:
DeepGlobal: A Global Robustness Verifiable FNN Framework. SETTA 2021: 22-39 - [i4]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR abs/2110.04000 (2021) - [i3]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR abs/2110.04038 (2021) - 2020
- [c14]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia:
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. CIKM 2020: 1853-1862 - [c13]Xiyue Zhang
Towards a Formally Verified EVM in Production Environment. COORDINATION 2020: 341-349 - [c12]Xiyue Zhang
Uncertainty-guided testing and robustness enhancement for deep learning systems. ICSE (Companion Volume) 2020: 101-103 - [c11]Xiyue Zhang
Towards characterizing adversarial defects of deep learning software from the lens of uncertainty. ICSE 2020: 739-751 - [i2]Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty. CoRR abs/2004.11573 (2020) - [i1]Weidi Sun, Yuteng Lu, Xiyue Zhang, Zhanxing Zhu, Meng Sun:
Global Robustness Verification Networks. CoRR abs/2006.04403 (2020)
2010 – 2019
- 2019
- [j2]Xiyue Zhang
Reasoning about connectors using Coq and Z3. Sci. Comput. Program. 170: 27-44 (2019) - [j1]Yi Li, Xiyue Zhang
A formal framework capturing real-time and stochastic behavior in connectors. Sci. Comput. Program. 177: 19-40 (2019) - [c10]Bai Xue, Yang Liu
Safe Inputs Approximation for Black-Box Systems. ICECCS 2019: 180-189 - [c9]Xiyue Zhang
SMT-Based Modeling and Verification of Cloud Applications. SERVICES 2019: 1-15 - [c8]Xiyue Zhang
Using Recurrent Neural Network to Predict Tactics for Proving Component Connector Properties in Coq. TASE 2019: 107-112 - 2018
- [c7]Meng Sun, Xiyue Zhang
A Relational Model for Probabilistic Connectors Based on Timed Data Distribution Streams. FORMATS 2018: 125-141 - [c6]Xiyue Zhang
Modeling and Verification of Component Connectors. ICFEM 2018: 419-422 - [c5]Xiyue Zhang
Towards Formal Modeling and Verification of Probabilistic Connectors in Coq (S). SEKE 2018: 385-384 - 2017
- [c4]Yi Li, Xiyue Zhang
Capturing Stochastic and Real-Time Behavior in Reo Connectors. SBMF 2017: 287-304 - [c3]Weijiang Hong, M. Saqib Nawaz
Using Coq for Formal Modeling and Verification of Timed Connectors. SEFM Workshops 2017: 558-573 - 2016
- [c2]Xiyue Zhang
Reasoning About Connectors in Coq. FACS 2016: 172-190 - 2010
- [c1]Huiyan Jiang, Fengzhen Tang, Xiyue Zhang:
Liver cancer identification based on PSO-SVM model. ICARCV 2010: 2519-2523
Coauthor Index
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last updated on 2024-12-02 21:26 CET by the dblp team
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