De Wen Soh

According to our database, De Wen Soh authored at least 14 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Identifiability from Modulo Measurements under DFT Sensing Matrix.

Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh

CoRR, 2024

2023

Joint Network Topology Inference via Structural Fusion Regularization.

Yanli Yuan, De Wen Soh, Kun Guo, Zehui Xiong, Tony Q. S. Quek

IEEE Trans. Knowl. Data Eng., October, 2023

Applicable and Partial Learning of Graph Topology Without Sparsity Priors.

Yanli Yuan, De Wen Soh, Zehui Xiong, Tony Q. S. Quek

IEEE Trans. Netw. Sci. Eng., 2023

Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models.

Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing

CoRR, 2023

One-Bit-Aided Modulo Sampling for DOA Estimation.

Qi Zhang, Jiang Zhu, Zhiwei Xu, De Wen Soh

CoRR, 2023

Enhancing Few-shot NER with Prompt Ordering based Data Augmentation.

Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing

CoRR, 2023

2022

GRACGE: Graph Signal Clustering and Multiple Graph Estimation.

Yanli Yuan, De Wen Soh, Xiao Yang, Kun Guo, Tony Q. S. Quek

IEEE Trans. Signal Process., 2022

Calibrating Learning Parity with Noise Authentication for Low-Resource Devices.

Teik Guan Tan, De Wen Soh, Jianying Zhou

Proceedings of the Information and Communications Security - 24th International Conference, 2022

Towards Better Characterization of Paraphrases.

Timothy Liu, De Wen Soh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Deep Interpretation with Sign Separated and Contribution Recognized Decomposition.

Lucas Y. W. Hui, De Wen Soh

Proceedings of the Advances in Computational Intelligence, 2021

2019

Learning Overlapping Community-Based Networks.

Yanli Yuan, De Wen Soh, Howard H. Yang, Tony Q. S. Quek

IEEE Trans. Signal Inf. Process. over Networks, 2019

Learning Unfaithful $K$-separable Gaussian Graphical Models.

De Wen Soh, Sekhar Tatikonda

J. Mach. Learn. Res., 2019

2014

Testing Unfaithful Gaussian Graphical Models.

De Wen Soh, Sekhar Tatikonda

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Randomized Information Dissemination in Dynamic Environments.

De Wen Soh, Wee-Peng Tay, Tony Q. S. Quek

IEEE/ACM Trans. Netw., 2013