Top-k Taxi Recommendation in Realtime Social-Aware Ridesharing Services. - Xiaoyi Fu; Jinbin Huang; Hua Lu 001; Jianliang Xu; Yafei Li (SSTD, 2017)

Parameter-Free Structural Diversity Search. - Jinbin Huang; Xin Huang 001; Yuanyuan Zhu 001; Jianliang Xu (WISE, 2019)

HDAG-Explorer: A System for Hierarchical DAG Summarization and Exploration. - Xuliang Zhu; Xin Huang 001; Jinbin Huang; Byron Choi; Jianliang Xu (Proc. VLDB Endow., 2020)

BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. - Zhe Peng; Jinbin Huang; Haixin Wang 001; Shihao Wang; Xiaowen Chu 001; Xinzhi Zhang 001; Li Chen 009; Xin Huang 001; Xiaoyi Fu; Yike Guo; Jianliang Xu (DASFAA (Workshops), 2021)

Truss-based Structural Diversity Search in Large Graphs (Extended Abstract). - Jinbin Huang; Xin Huang 001; Jianliang Xu (ICDE, 2021)

P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics. - Zhe Peng; Cheng Xu 004; Haixin Wang 001; Jinbin Huang; Jianliang Xu; Xiaowen Chu 001 (SIGMOD Conference, 2021)

Phoenix Virtual Heart: A Hybrid VR-Desktop Visualization System for Cardiac Surgery Planning and Education. - Jinbin Huang; Jonathan Plasencia; Dianna M. E. Bardo; Nicholas C. Huber; Erik G. Ellsworth; Steven D. Zangwill; Chris Bryan (VAHC, 2021)

Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning. - Aditi Mishra; Utkarsh Soni; Jinbin Huang; Chris Bryan (CoRR, 2021)

Parallel algorithms for parameter-free structural diversity search on graphs. - Jinbin Huang; Xin Huang 001; Yuanyuan Zhu 001; Jianliang Xu (World Wide Web, 2021)

Why? Why not? When? Visual Explanations of Agent Behaviour in Reinforcement Learning. - Aditi Mishra; Utkarsh Soni; Jinbin Huang; Chris Bryan (PacificVis, 2022)

SPARVIS: Combining Smartphone and Augmented Reality for Visual Data Analytics. - Jinbin Huang; Shuang Liang; Qi Xiong; Yu Gao; Chao Mei; Yi Xu 002; Chris Bryan (ISMAR Adjunct, 2022)

ConceptExplainer: Understanding the Mental Model of Deep Learning Algorithms via Interactive Concept-based Explanations. - Jinbin Huang; Aditi Mishra; Bum-Chul Kwon; Chris Bryan (CoRR, 2022)

Truss-Based Structural Diversity Search in Large Graphs. - Jinbin Huang; Xin Huang 001; Jianliang Xu (IEEE Trans. Knowl. Data Eng., 2022)

Measuring and Comparing Collaborative Visualization Behaviors in Desktop and Augmented Reality Environments. - Michael Kintscher; Jinbin Huang; Anjana Arunkumar; Ashish Amresh; Chris Bryan (VRST, 2023)

PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models. - Aditi Mishra; Utkarsh Soni; Anjana Arunkumar; Jinbin Huang; Bum Chul Kwon; Chris Bryan (CoRR, 2023)

ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective. - Jinbin Huang; Aditi Mishra; Bum Chul Kwon; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2023)

ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale. - Jinbin Huang; Chen Chen; Aditi Mishra; Bum Chul Kwon; Zhicheng Liu; Chris Bryan (CoRR, 2024)

InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation. - Jinbin Huang; Wenbin He; Liang Gou; Liu Ren; Chris Bryan (CoRR, 2024)

Optimizing resource allocation in UAV-assisted ultra-dense networks for enhanced performance and security. - Pei-Gen Ye; Jun Zheng; Xiaojun Ren; Jinbin Huang; Zhenxin Zhang; Yan Pang; Guang Kou (Inf. Sci., 2024)

Frequency-domain enhanced bi-directional recurrent quantum network for stock price trend prediction. - Jichu Ou; Wanyi Li; Jinbin Huang (Multim. Tools Appl., 2024)

Efficient Core Propagation Based Hierarchical Graph Clustering. - Jinbin Huang; Zihan Jia; Xin Huang (ICDE, 2025)

GPU-Accelerated Structural Diversity Search in Graphs. - Jinbin Huang; Xin Huang 001; Jianliang Xu; Byron Choi; Yun Peng 002 (IEEE Trans. Knowl. Data Eng., 2025)

SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation. - Jing Chang; Chang Liu; Jinbin Huang; Shuyuan Zheng; Rui Mao 001; Jianbin Qin (CoRR, 2025)

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction. - Jing Chang; Chang Liu; Jinbin Huang; Rui Mao 001; Jianbin Qin (CoRR, 2025)