Randomized Information Dissemination in Dynamic Environments. - De Wen Soh; Wee-Peng Tay; Tony Q. S. Quek (IEEE/ACM Trans. Netw., 2013)

Testing Unfaithful Gaussian Graphical Models. - De Wen Soh; Sekhar Tatikonda (NIPS, 2014)

Learning Unfaithful $K$-separable Gaussian Graphical Models. - De Wen Soh; Sekhar Tatikonda (J. Mach. Learn. Res., 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)

Deep Interpretation with Sign Separated and Contribution Recognized Decomposition. - Lucas Y. W. Hui; De Wen Soh (IWANN (1), 2021)

Towards Better Characterization of Paraphrases. - Timothy Liu; De Wen Soh (ACL (1), 2022)

Calibrating Learning Parity with Noise Authentication for Low-Resource Devices. - Teik Guan Tan; De Wen Soh; Jianying Zhou 001 (ICICS, 2022)

GRACGE: Graph Signal Clustering and Multiple Graph Estimation. - Yanli Yuan; De Wen Soh; Xiao Yang 011; Kun Guo 002; Tony Q. S. Quek (IEEE Trans. Signal Process., 2022)

Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. - Huiming Wang; Liying Cheng; Wenxuan Zhang 001; De Wen Soh; Lidong Bing (CoRR, 2023)

One-Bit-Aided Modulo Sampling for DOA Estimation. - Qi Zhang 081; Jiang Zhu 004; Zhiwei Xu 003; De Wen Soh (CoRR, 2023)

Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models. - Huiming Wang; Liying Cheng; Zhaodonghui Li; De Wen Soh; Lidong Bing (CoRR, 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)

Joint Network Topology Inference via Structural Fusion Regularization. - Yanli Yuan; De Wen Soh; Kun Guo 002; Zehui Xiong; Tony Q. S. Quek (IEEE Trans. Knowl. Data Eng., 2023)

Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. - Huiming Wang; Liying Cheng; Wenxuan Zhang 001; De Wen Soh; Lidong Bing (ACL (1), 2024)

Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. - Huiming Wang; Zhaodonghui Li; Liying Cheng; De Wen Soh; Lidong Bing (NAACL-HLT, 2024)

On the Identifiability from Modulo Measurements under DFT Sensing Matrix. - Qi Zhang 081; Jiang Zhu 004; Fengzhong Qu; Zheng Zhu; De Wen Soh (CoRR, 2024)

Line Spectral Estimation via Unlimited Sampling. - Qi Zhang 081; Jiang Zhu 004; Fengzhong Qu; De Wen Soh (IEEE Trans. Aerosp. Electron. Syst., 2024)

Re³Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training. - Zhiyang Zhang; Ziqiang Liu; Huiming Wang; Renke Shan; Li Kuang; Lu Wang; De Wen Soh (ACL (1), 2025)

Visual Prompting for One-shot Controllable Video Editing without Inversion. - Zhengbo Zhang; Yuxi Zhou; Duo Peng; Joo-Hwee Lim; Zhigang Tu 001; De Wen Soh; Lin Geng Foo (CVPR, 2025)

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation. - Lanyun Zhu; Tianrun Chen; Qianxiong Xu; Xuanyi Liu; Deyi Ji; Haiyang Wu; De Wen Soh; Jun Liu 036 (CVPR, 2025)

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians. - Shuyi Jiang; Qihao Zhao; Hossein Rahmani 001; De Wen Soh; Jun Liu 036; Na Zhao (ICLR, 2025)

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm. - Ziyan Guo; Zeyu Hu; Na Zhao; De Wen Soh (CoRR, 2025)

TSTMotion: Training-free Scene-aware Text-to-motion Generation. - Ziyan Guo; Haoxuan Qu; Hossein Rahmani 001; De Wen Soh; Ping Hu 001; Qiuhong Ke; Jun Liu 036 (CoRR, 2025)