Songyang Zhang
Orcid: 0000-0002-2895-5728
According to our database1,
Songyang Zhang
authored at least 129 papers
between 2015 and 2024.
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Bibliography
2024
RadioGAT: A Joint Model-Based and Data-Driven Framework for Multi-Band Radiomap Reconstruction via Graph Attention Networks.
IEEE Trans. Wirel. Commun., November, 2024
Radiomap Inpainting for Restricted Areas Based on Propagation Priority and Depth Map.
IEEE Trans. Wirel. Commun., August, 2024
Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence.
IEEE Commun. Mag., August, 2024
Signal Image Video Process., July, 2024
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
Signal Processing Over Multilayer Graphs: Theoretical Foundations and Practical Applications.
IEEE Internet Things J., January, 2024
Efficient Eigen-Decomposition for Low-Rank Symmetric Matrices in Graph Signal Processing: An Incremental Approach.
IEEE Trans. Signal Process., 2024
Cross Modality Bias in Visual Question Answering: A Causal View With Possible Worlds VQA.
IEEE Trans. Multim., 2024
Trans. Mach. Learn. Res., 2024
IEEE Internet Things J., 2024
Comput. Vis. Image Underst., 2024
CoRR, 2024
CoRR, 2024
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios.
CoRR, 2024
CoRR, 2024
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
CoRR, 2024
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models.
CoRR, 2024
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.
CoRR, 2024
CoRR, 2024
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.
CoRR, 2024
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Communications Workshops, 2024
UFed-GAN: Secure Federated Learning over Wireless Sensor Networks with Unlabeled Data.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Split-FL: An Efficient Online Federated Learning Framework with Constrained Computation and Streaming Data.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
RME-GAN: A Learning Framework for Radio Map Estimation Based on Conditional Generative Adversarial Network.
IEEE Internet Things J., October, 2023
Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency.
CoRR, 2023
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.
CoRR, 2023
The Cultural Psychology of Large Language Models: Is ChatGPT a Holistic or Analytic Thinker?
CoRR, 2023
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning.
CoRR, 2023
UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data.
CoRR, 2023
Unveiling Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA.
CoRR, 2023
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy.
CoRR, 2023
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 15th IEEE International Conference on Advanced Infocomm Technology, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Image Process., 2022
The Vibroacoustic Characteristics Analysis of Transformer Core Faults Based on Multi-Physical Field Coupling.
Symmetry, 2022
Multi-Scale 2D Temporal Adjacency Networks for Moment Localization With Natural Language.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
EURASIP J. Adv. Signal Process., 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
IEEE Trans. Image Process., 2021
IEEE Signal Process. Lett., 2021
LIA-EN: enhancing the performance of multipath congestion control over lossy networks.
Int. J. Sens. Networks, 2021
Int. J. Commun. Syst., 2021
Trans. Emerg. Telecommun. Technol., 2021
CoRR, 2021
Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Mi YouTube es Su YouTube? Analyzing the Cultures using YouTube Thumbnails of Popular Videos.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Signal Process. Lett., 2020
Introducing Hypergraph Signal Processing: Theoretical Foundation and Practical Applications.
IEEE Internet Things J., 2020
Shared bottleneck detection based on trend line regression for multipath transmission.
Int. J. Commun. Syst., 2020
An online learning based path selection for multipath real-time video transmission in overlay network.
Trans. Emerg. Telecommun. Technol., 2020
Multi-Scale 2D Temporal Adjacent Networks for Moment Localization with Natural Language.
CoRR, 2020
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation.
CoRR, 2020
An Online Learning Based Path Selection for Multipath Video Telephony Service in Overlay.
CoRR, 2020
A Multipath Transport Scheme for Real-Time Multimedia Services Based on Software-Defined Networking and Segment Routing.
IEEE Access, 2020
Proceedings of the Parallel Architectures, Algorithms and Programming, 2020
Proceedings of the Information Theory and Applications Workshop, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Symmetry, 2019
Multim. Tools Appl., 2019
Int. J. Commun. Syst., 2019
CoRR, 2019
IEEE Access, 2019
Proceedings of the Simulation Tools and Techniques - 11th International Conference, 2019
Exploiting Temporal Relationships in Video Moment Localization with Natural Language.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks.
IEEE Trans. Multim., 2018
Shared Bottleneck Detecction Based on Trend Line Regression for Multipath Transmission.
CoRR, 2018
Tensor-based Spectral Analysis of Cascading Failures over Multilayer Complex Systems.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
2017
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning.
CoRR, 2017
On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2015
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015