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2020 – today
- 2025
[j9]Tenzin Chan
, De Wen Soh, Christopher Hillar:
Detecting Signatures of Criticality Using Divergence Rate. Entropy 27(5): 487 (2025)- [j8]Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, De Wen Soh, Jun Liu:
Replay Master: Automatic Sample Selection and Effective Memory Utilization for Continual Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 47(11): 10311-10328 (2025) - [c12]Zhiyang Zhang, Ziqiang Liu, Huiming Wang, Renke Shan, Li Kuang, Lu Wang, De Wen Soh:
Re³Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training. ACL (1) 2025: 31468-31480 - [c11]Zhengbo Zhang, Yuxi Zhou, Duo Peng, Joo-Hwee Lim, Zhigang Tu, De Wen Soh, Lin Geng Foo:
Visual Prompting for One-shot Controllable Video Editing without Inversion. CVPR 2025: 7784-7794 - [c10]Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu:
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation. CVPR 2025: 30231-30240 - [c9]Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao:
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians. ICLR 2025 - [c8]Ziyan Guo, Haoxuan Qu, Hossein Rahmani, De Wen Soh, Ping Hu, Qiuhong Ke, Jun Liu:
TSTMotion: Training-free Scene-aware Text-to-motion Generation. ICME 2025: 1-6 - [c7]Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu:
CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models. ICML 2025 - [i10]Ziyan Guo, Zeyu Hu, Na Zhao, De Wen Soh:
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm. CoRR abs/2502.02358 (2025) - [i9]Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu:
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation. CoRR abs/2504.00640 (2025) - [i8]Zhengbo Zhang, Yuxi Zhou, Duo Peng, Joo-Hwee Lim, Zhigang Tu, De Wen Soh, Lin Geng Foo:
Visual Prompting for One-shot Controllable Video Editing without Inversion. CoRR abs/2504.14335 (2025) - [i7]Ziyan Guo, Haoxuan Qu, Hossein Rahmani, De Wen Soh, Ping Hu, Qiuhong Ke, Jun Liu:
TSTMotion: Training-free Scene-aware Text-to-motion Generation. CoRR abs/2505.01182 (2025) - [i6]Mark He Huang, Lin Geng Foo, Christian Theobalt, Ying Sun, De Wen Soh:
OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects. CoRR abs/2510.20605 (2025) - 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 - [i5]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) - [i4]Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao:
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians. CoRR abs/2410.01535 (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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