De Wen Soh

According to our database, De Wen Soh authored at least 31 papers between 2013 and 2026.

Collaborative distances:

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

2026

Unleashing the Power of Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation.

Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, De Wen Soh, Mohammed Bennamoun, Jun Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation.

Jiayi Yuan, Haobo Jiang, De Wen Soh, Na Zhao

CoRR, March, 2026

Yes FLoReNce, I Will Do Better Next Time! Agentic Feedback Reasoning for Humorous Meme Detection.

Olivia Shanhong Liu, Pai Chet Ng, De Wen Soh, Konstantinos N. Plataniotis

CoRR, January, 2026

2025

Replay Master: Automatic Sample Selection and Effective Memory Utilization for Continual Semantic Segmentation.

Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, De Wen Soh, Jun Liu

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects.

Mark He Huang, Lin Geng Foo, Christian Theobalt, Ying Sun, De Wen Soh

CoRR, October, 2025

Detecting Signatures of Criticality Using Divergence Rate.

Tenzin Chan, De Wen Soh, Christopher Hillar

Entropy, 2025

CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models.

Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TSTMotion: Training-free Scene-aware Text-to-motion Generation.

Ziyan Guo, Haoxuan Qu, Hossein Rahmani, De Wen Soh, Ping Hu, Qiuhong Ke, Jun Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians.

Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Performing Defocus Deblurring by Modeling its Formation Process.

Zhengbo Zhang, Lin Geng Foo, Hossein Rahmani, Jun Liu, De Wen Soh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm.

Ziyan Guo, Zeyu Hu, De Wen Soh, Na Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Visual Prompting for One-shot Controllable Video Editing without Inversion.

Zhengbo Zhang, Yuxi Zhou, Duo Peng, Joo-Hwee Lim, Zhigang Tu, De Wen Soh, Lin Geng Foo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Line Spectral Estimation via Unlimited Sampling.

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

IEEE Trans. Aerosp. Electron. Syst., October, 2024

On the Identifiability from Modulo Measurements under DFT Sensing Matrix.

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

CoRR, 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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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