A technology compatibility kit for safety critical Java. - Lei Zhao; Daniel Tang; Jan Vitek (JTRES, 2009)

Developing safety critical Java applications with oSCJ/L0. - Ales Plsek; Lei Zhao; Veysel Harun Sahin; Daniel Tang; Tomas Kalibera; Jan Vitek (JTRES, 2010)

Static checking of safety critical Java annotations. - Daniel Tang; Ales Plsek; Jan Vitek (JTRES, 2010)

The formal generation of models for scientific simulations. - Daniel Tang (2010)

The Manchester OWL Repository: System Description. - Nicolas Matentzoglu; Daniel Tang; Bijan Parsia; Uli Sattler (ISWC (Posters & Demos), 2014)

Efficient algorithms for modifying and sampling from a categorical distribution. - Daniel Tang (CoRR, 2019)

Data assimilation in Agent-based models using creation and annihilation operators. - Daniel Tang (CoRR, 2019)

Finding the maximum-a-posteriori behaviour of agents in an agent-based model. - Daniel Tang (CoRR, 2020)

Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing. - Daniel Tang (CoRR, 2020)

A Large-Scale Hierarchical Structure Knowledge Enhanced Pre-training Framework for Automatic ICD Coding. - Shi Wang; Daniel Tang; Luchen Zhang (ICONIP (6), 2021)

AIR: Personalized Product Recommender System for Nike's Digital Transformation. - Steven Essinger; Dave Huber; Daniel Tang (RecSys, 2021)

HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding. - Shi Wang; Daniel Tang; Luchen Zhang; Huilin Li; Ding Han (DASFAA (2), 2022)

Emotion Detection in Unfix-Length-Context Conversation. - Xiaochen Zhang; Daniel Tang (ICONIP (2), 2022)

A case study of using Alexa for out-of-class, self-directed Japanese language learning. - Gilbert Dizon; Daniel Tang; Yumi Yamamoto (Comput. Educ. Artif. Intell., 2022)

Data assimilation with agent-based models using Markov chain sampling. - Daniel Tang; Nick Malleson (CoRR, 2022)

Automatically Extracting Information in Medical Dialogue: Expert System And Attention for Labelling. - Xinshi Wang; Daniel Tang (CoRR, 2022)

Anti-hate Speech Framework: Leveraging Hedging Hyperbolic Learning. - Hongyi Zhao; Zhiyuan Li; Jingyu Zhao; Daniel Tang; Fanliang Bu (ICANN (7), 2024)

DataRecipe - How to Cook the Data for CodeLLM? - Kisub Kim; Jounghoon Kim; Byeongjo Park; Dongsun Kim 001; Chun Yong Chong; Yuan Wang; Tiezhu Sun; Daniel Tang; Jacques Klein; Tegawendé F. Bissyandé (ASE, 2024)

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization. - Dongsheng Zhu; Daniel Tang; Weidong Han 002; Jinghui Lu; Yukun Zhao; Guoliang Xing; Junfeng Wang; Dawei Yin (NAACL-HLT, 2024)

CodeAgent: Collaborative Agents for Software Engineering. - Daniel Tang; Zhenghan Chen; Kisub Kim; Yewei Song; Haoye Tian; Saad Ezzini; Yongfeng Huang; Jacques Klein; Tegawendé F. Bissyandé (CoRR, 2024)

Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance. - Yewei Song; Cedric Lothritz; Daniel Tang; Tegawendé F. Bissyandé; Jacques Klein (CoRR, 2024)

DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework. - Zhifei Xie; Daniel Tang; Dingwei Tan; Jacques Klein; Tegawend F. Bissyand; Saad Ezzini (CoRR, 2024)

Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability. - Bo Gao 004; Fangxu Xing; Daniel Tang (CoRR, 2024)

A large-scale microblog dataset and stock movement prediction based on Supervised Contrastive Learning model. - Song Yang; Daniel Tang (Neurocomputing, 2024)

Hedgecode: A Multi-Task Hedging Contrastive Learning Framework for Code Search. - Gong Chen; Xiaoyuan Xie; Daniel Tang; Qi Xin; Wenjie Liu (ICSE, 2025)

MANTA: Cross-Modal Semantic Alignment and Information-Theoretic Optimization for Long-form Multimodal Understanding. - Ziqi Zhong; Daniel Tang (CoRR, 2025)