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De Wen Soh
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2020 – today
- 2024
- [j7]Qi Zhang, Jiang Zhu, Fengzhong Qu, De Wen Soh:
Line Spectral Estimation via Unlimited Sampling. IEEE Trans. Aerosp. Electron. Syst. 60(5): 7214-7231 (2024) - [c6]Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing:
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. ACL (1) 2024: 7792-7807 - [c5]Huiming Wang, Zhaodonghui Li, Liying Cheng, De Wen Soh, Lidong Bing:
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. NAACL-HLT 2024: 7874-7891 - [i4]Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh:
On the Identifiability from Modulo Measurements under DFT Sensing Matrix. CoRR abs/2401.00194 (2024) - 2023
- [j6]Yanli Yuan, De Wen Soh, Kun Guo, Zehui Xiong, Tony Q. S. Quek:
Joint Network Topology Inference via Structural Fusion Regularization. IEEE Trans. Knowl. Data Eng. 35(10): 10351-10364 (2023) - [j5]Yanli Yuan, De Wen Soh, Zehui Xiong, Tony Q. S. Quek:
Applicable and Partial Learning of Graph Topology Without Sparsity Priors. IEEE Trans. Netw. Sci. Eng. 10(1): 360-371 (2023) - [i3]Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing:
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. CoRR abs/2305.11791 (2023) - [i2]Qi Zhang, Jiang Zhu, Zhiwei Xu, De Wen Soh:
One-Bit-Aided Modulo Sampling for DOA Estimation. CoRR abs/2309.04901 (2023) - [i1]Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing:
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models. CoRR abs/2310.10962 (2023) - 2022
- [j4]Yanli Yuan, De Wen Soh, Xiao Yang, Kun Guo, Tony Q. S. Quek:
GRACGE: Graph Signal Clustering and Multiple Graph Estimation. IEEE Trans. Signal Process. 70: 2015-2030 (2022) - [c4]Timothy Liu, De Wen Soh:
Towards Better Characterization of Paraphrases. ACL (1) 2022: 8592-8601 - [c3]Teik Guan Tan, De Wen Soh, Jianying Zhou:
Calibrating Learning Parity with Noise Authentication for Low-Resource Devices. ICICS 2022: 19-36 - 2021
- [c2]Lucas Y. W. Hui, De Wen Soh:
Deep Interpretation with Sign Separated and Contribution Recognized Decomposition. IWANN (1) 2021: 395-406
2010 – 2019
- 2019
- [j3]De Wen Soh, Sekhar Tatikonda:
Learning Unfaithful $K$-separable Gaussian Graphical Models. J. Mach. Learn. Res. 20: 109:1-109:30 (2019) - [j2]Yanli Yuan, De Wen Soh, Howard H. Yang, Tony Q. S. Quek:
Learning Overlapping Community-Based Networks. IEEE Trans. Signal Inf. Process. over Networks 5(4): 684-697 (2019) - 2014
- [c1]De Wen Soh, Sekhar Tatikonda:
Testing Unfaithful Gaussian Graphical Models. NIPS 2014: 2681-2689 - 2013
- [j1]De Wen Soh, Wee-Peng Tay, Tony Q. S. Quek:
Randomized Information Dissemination in Dynamic Environments. IEEE/ACM Trans. Netw. 21(3): 681-691 (2013)
Coauthor Index
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