De Wen Soh

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 14

Top Topics

Semantic Interpretation

Network Topology

Named Entity Recognition

Annotated Corpus

Top Venues

IEEE Trans. Signal Process.

Publications

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)
Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh
On the Identifiability from Modulo Measurements under DFT Sensing Matrix. CoRR (2024)
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. ACL (1) (2024)
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) (2023)
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) (2023)
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. CoRR (2023)
Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models. CoRR (2023)
Qi Zhang, Jiang Zhu, Zhiwei Xu, De Wen Soh
One-Bit-Aided Modulo Sampling for DOA Estimation. CoRR (2023)
Teik Guan Tan, De Wen Soh, Jianying Zhou
Calibrating Learning Parity with Noise Authentication for Low-Resource Devices. ICICS (2022)
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 (2022)
Timothy Liu, De Wen Soh
Towards Better Characterization of Paraphrases. ACL (1) (2022)
Lucas Y. W. Hui, De Wen Soh
Deep Interpretation with Sign Separated and Contribution Recognized Decomposition. IWANN (1) (2021)
De Wen Soh, Sekhar Tatikonda
Learning Unfaithful $K$-separable Gaussian Graphical Models. J. Mach. Learn. Res. 20 (2019)
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) (2019)
De Wen Soh, Sekhar C. Tatikonda
Testing Unfaithful Gaussian Graphical Models. NIPS (2014)
De Wen Soh, Wee-Peng Tay, Tony Q. S. Quek
Randomized Information Dissemination in Dynamic Environments. IEEE/ACM Trans. Netw. 21 (3) (2013)