Customized Plug-in Modules in Metascheduler CSF4 for Life Sciences Applications. - Zhaohui Ding; Xiaohui Wei 002; Yuan Luo; Da Ma; Peter W. Arzberger; Wilfred W. Li (New Gener. Comput., 2007)

Poster: Cluster analysis based traffic prediction method from real traffic traces in LTE networks. - Shimeng Zhang; Da Ma; Jingbao Gao; Jun Gu; Xing Zhang 001 (ChinaCom, 2014)

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum. - Da Ma; Manuel Jorge Cardoso; Maria A. Zuluaga; Marc Modat; Nick M. Powell; Frances K. Wiseman; Victor L. J. Tybulewicz; Elizabeth M. C. Fisher; Mark F. Lythgoe; Sébastien Ourselin (MICCAI (3), 2015)

Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy. - Holly E. Holmes; Nick M. Powell; Da Ma; Ozama Ismail; Ian F. Harrison; Jack A. Wells; Niall Colgan; James M. O'Callaghan; Ross A. Johnson; Tracey K. Murray; Zeshan Ahmed; Morten Heggenes; et al. (Frontiers Neuroinformatics, 2017)

Loan evaluation in P2P lending based on Random Forest optimized by genetic algorithm with profit score. - Xin Ye 004; Lu-an Dong; Da Ma (Electron. Commer. Res. Appl., 2018)

Grey matter sublayer thickness estimation in themouse cerebellum. - Da Ma; Manuel Jorge Cardoso; Maria A. Zuluaga; Marc Modat; Nick M. Powell; Frances K. Wiseman; Victor L. J. Tybulewicz; Elizabeth M. C. Fisher; Mark F. Lythgoe; Sébastien Ourselin (CoRR, 2019)

Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence. - Donghuan Lu; Morgan Heisler; Da Ma; Setareh Dabiri; Sieun Lee; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (CoRR, 2019)

Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map. - Da Ma; Donghuan Lu; Morgan Heisler; Setareh Dabiri; Sieun Lee; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (MIDL, 2020)

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI. - Da Ma; Manuel Jorge Cardoso; Maria A. Zuluaga; Marc Modat; Nick M. Powell; Frances K. Wiseman; Jon O. Cleary; Benjamin Sinclair; Ian F. Harrison; Bernard Siow; Karteek Popuri; Sieun Lee; et al. (NeuroImage, 2020)

How the high-impact papers formed? A study using data from social media and citation. - Jianhua Hou; Da Ma (Scientometrics, 2020)

Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL. - Zhi Chen 006; Lu Chen 002; Hanqi Li; Ruisheng Cao; Da Ma; Mengyue Wu; Kai Yu 004 (ACL/IJCNLP (Findings), 2021)

Effects of articulatory suppression on the homophone judgments of Chinese-character words. - Da Ma; Aiko Morita (CogSci, 2021)

Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning. - Timothy T. L. Yu; Da Ma; Jayden Cole; MyeongJin Ju; Mirza Faisal Beg; Marinko V. Sarunic (ISPA, 2021)

LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images. - Da Ma; Donghuan Lu; Shuo Chen; Morgan Heisler; Setareh Dabiri; Sieun Lee; Hyunwoo Lee 007; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (Comput. Medical Imaging Graph., 2021)

Comprehensive Validation of Automated Whole Body Skeletal Muscle, Adipose Tissue, and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition. - Da Ma; Vincent Chow; Karteek Popuri; Mirza Faisal Beg (CoRR, 2021)

Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography. - Ricky Chen; Timothy T. L. Yu; Gavin Xu; Da Ma; Marinko V. Sarunic; Mirza Faisal Beg (CoRR, 2021)

Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network. - Da Ma; Donghuan Lu; Karteek Popuri; Mirza Faisal Beg (CoRR, 2021)

Using Active Privacy Transparency to Mitigate the Tension Between Data Access and Consumer Privacy. - Da Ma; Matthew J. Hashim; Qiuzhen Wang (ICIS, 2022)

Understanding Users' Willingness to Pay for Privacy in Mobile Applications: An Integration of Protection Motivation and Privacy Calculus. - Da Ma; Xixian Peng; Qiuzhen Wang; Xin (Robert) Luo (PACIS, 2022)

Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning. - Da Ma; Meenakshi Kumar; Vikas Khetan; Parveen Sen; Muna Bhende; Shuo Chen; Timothy T. L. Yu; Sieun Lee; Eduardo V. Navajas; Joanne A. Matsubara; Myeong Jin Ju; Marinko V. Sarunic; et al. (Comput. Biol. Medicine, 2022)

3D hemisphere-based convolutional neural network for whole-brain MRI segmentation. - Evangeline Yee; Da Ma; Karteek Popuri; Shuo Chen; Hyunwoo Lee 007; Vincent Chow; Cydney Ma; Lei Wang; Mirza Faisal Beg (Comput. Medical Imaging Graph., 2022)

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. - Ghazal Mirabnahrazam; Da Ma; Sieun Lee; Karteek Popuri; Hyunwoo Lee 007; Jiguo Cao; Lei Wang; James E. Galvin; Mirza Faisal Beg; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2022)

Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. - Ghazal Mirabnahrazam; Da Ma; Cédric Beaulac; Sieun Lee; Karteek Popuri; Hyunwoo Lee 007; Jiguo Cao; James E. Galvin; Lei Wang; Mirza Faisal Beg; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2022)

DialogZoo: Large-Scale Dialog-Oriented Task Learning. - Zhi Chen 006; Jijia Bao; Lu Chen 002; Yuncong Liu; Da Ma; Bei Chen; Mengyue Wu; Su Zhu; Jian-Guang Lou; Kai Yu 004 (CoRR, 2022)

Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction. - Haolun Shi; Yuping Yang; Liangliang Wang; Da Ma; Mirza Faisal Beg; Jian Pei 001; Jiguo Cao (J. Comput. Graph. Stat., 2022)

ASTormer: An AST Structure-aware Transformer Decoder for Text-to-SQL. - Ruisheng Cao; Hanchong Zhang; Hongshen Xu; Jieyu Li; Da Ma; Lu Chen 002; Kai Yu 004 (CoRR, 2023)

High precision tracking analysis of cell position and motion fields using 3D U-net network models. - Li-Xin Yuan; Hong-Mei Xu; Zi-Yu Zhang; Xu-Wei Liu; Jing-Xin Li; Jia-He Wang; Hao-Bo Cui; Hao-Ran Huang; Yue Zheng; Da Ma (Comput. Biol. Medicine, 2023)

Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. - Shuo Chen; Da Ma; Sieun Lee; Timothy T. L. Yu; Gavin Xu; Donghuan Lu; Karteek Popuri; Myeong Jin Ju; Marinko V. Sarunic; Mirza Faisal Beg (Comput. Biol. Medicine, 2023)

SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research. - Liangtai Sun; Yang Han; Zihan Zhao; Da Ma; Zhennan Shen; Baocai Chen; Lu Chen 002; Kai Yu 004 (AAAI, 2024)

Sparsity-Accelerated Training for Large Language Models. - Da Ma; Lu Chen 002; Pengyu Wang; Hongshen Xu; Hanqi Li; Liangtai Sun; Su Zhu; Shuai Fan 005; Kai Yu 004 (ACL (Findings), 2024)

Evolving Subnetwork Training for Large Language Models. - Hanqi Li; Lu Chen 002; Da Ma; Zijian Wu; Su Zhu; Kai Yu 004 (ICML, 2024)

Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding. - Hongshen Xu; Lu Chen 002; Zihan Zhao; Da Ma; Ruisheng Cao; Zichen Zhu; Kai Yu 004 (WSDM, 2024)

ChemDFM: Dialogue Foundation Model for Chemistry. - Zihan Zhao; Da Ma; Lu Chen 002; Liangtai Sun; Zihao Li; Hongshen Xu; Zichen Zhu; Su Zhu; Shuai Fan 005; Guodong Shen; Xin Chen; Kai Yu 004 (CoRR, 2024)

Rejection Improves Reliability: Training LLMs to Refuse Unknown Questions Using RL from Knowledge Feedback. - Hongshen Xu; Zichen Zhu; Da Ma; Situo Zhang; Shuai Fan 005; Lu Chen 002; Kai Yu 004 (CoRR, 2024)

SciDFM: A Large Language Model with Mixture-of-Experts for Science. - Liangtai Sun; Danyu Luo; Da Ma; Zihan Zhao; Baocai Chen; Zhennan Shen; Su Zhu; Lu Chen 002; Xin Chen; Kai Yu 004 (CoRR, 2024)

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity. - Da Ma; Lu Chen 002; Situo Zhang; Yuxun Miao; Su Zhu; Zhi Chen 006; Hongshen Xu; Hanqi Li; Shuai Fan 005; Lei Pan; Kai Yu 004 (CoRR, 2024)

Reducing Tool Hallucination via Reliability Alignment. - Hongshen Xu; Su Zhu; Zihan Wang; Hang Zheng; Da Ma; Ruisheng Cao; Shuai Fan 005; Lu Chen 002; Kai Yu 004 (CoRR, 2024)

AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of Adaptive Draft Structures. - Situo Zhang; Hankun Wang; Da Ma; Zichen Zhu; Lu Chen 002; Kunyao Lan; Kai Yu 004 (CoRR, 2024)

Dynamic Survival Prediction Using Sparse Longitudinal Images via Multi-Dimensional Functional Principal Component Analysis. - Haolun Shi; Shu Jiang; Da Ma; Mirza Faisal Beg; Jiguo Cao (J. Comput. Graph. Stat., 2024)

DFM: Dialogue foundation model for universal large-scale dialogue-oriented task learning. - Zhi Chen 006; Da Ma; Hanqi Li; Lu Chen 002; Jiabao Ji; Yuncong Liu; Bei Chen; Mengyue Wu; Su Zhu; Xin Dong; Fujiang Ge; Qingliang Miao; et al. (AI Open, 2025)

Automated Retinal Layer and Fluid Segmentation and Cross-sectional Analysis using Spectral Domain Optical Coherence Tomography Images for Diabetic Retinopathy. - S. Chen; Da Ma; M. Raviselvan; S. Sundaramoorthy; Karteek Popuri; Myeong Jin Ju; Marinko Sarunic; D. Ratra; Mirza Faisal Beg (CoRR, 2025)

Neuronal Activation States as Sample Embeddings for Data Selection in Task-Specific Instruction Tuning. - Da Ma; Gonghu Shang; Zhi Chen 006; Libo Qin 001; Yijie Luo; Lei Pan; Shuai Fan 005; Lu Chen 002; Kai Yu 004 (CoRR, 2025)

ChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge. - Zihan Zhao; Bo Chen; Ziping Wan; Lu Chen 002; Xuanze Lin; Shiyang Yu; Situo Zhang; Da Ma; Zichen Zhu; Danyang Zhang; Huayang Wang; Zhongyang Dai; et al. (CoRR, 2025)