| 2026 | ACL | Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models. | Yang Liu, Hongming Li, Melissa Xiaohui Qin, Chao Huang, Qiankun Liu |
| 2026 | AIED | Can We Trust AI's Self-assessment? Evaluating and Improving LLM Confidence Calibration in Educational Dialogue Coding. | Hongming Li, Huan Kuang, Anthony F. Botelho |
| 2025 | AIED | VETTING AI for Deeper Learning: Constraining LLMs to Encourage Student Inquiry. | Shan Zhang, Hongming Li, Seiyon M. Lee, Noah L. Schroeder, Anthony F. Botelho |
| 2025 | AIED | So What? Unpacking the Complexities in Collaborative Problem Solving with AI-Augmented Sense-Making. | Seiyon M. Lee, Hongming Li, Shan Zhang, Zirui Zhong, Ji-Eun Lee, Anthony F. Botelho |
| 2025 | AIED | ProductiveMath: A Generative-AI-Powered App to Support Productive Failure Teaching. | Seyedahmad Rhaimi, Deniz Ercan, Ran Gao, Salah Esmaeiligoujar, Maryam Babaee, Hongming Li, Shan Zhang, Ben Seiyon Lee, Avery Closser, Anthony Botelho |
| 2025 | EDM | Building Explainable Recommender System for Engineering Students Work-Integrated Learning (WIL). | Woorin Hwang, Hongming Li, Anna Pauline Aguinalde, Yilin Zhang, Jinnie Shin, Kent J. Crippen, Bruce F. Carroll |
| 2025 | VTC | Adaptive Vehicle Trajectory Forecasting via Context-Aware Multi-Level Attention-Augmented Long Short Term Memory. | Hongming Li, Yuqing Ji, Ziwei Wang |
| 2024 | CVPR | Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. | Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan |
| 2024 | EDM | Developing Explainable AI Systems to Support Feedback for Students. | Hongming Li, Anthony F. Botelho |
| 2024 | EDM | This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices. | Hongming Li, Ben Seiyon Lee, Anthony F. Botelho |
| 2024 | EDM | Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments. | Hongming Li, Shan Zhang, Ben Seiyon Lee, Ji-Eun Lee, Zirui Zhong, Erik Weitnauer, Anthony F. Botelho |
| 2024 | EDM | Investigating the Dynamic Change of Pre- and In-service Teachers' Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling. | Shan Zhang, Hai Li, Hongming Li, Anthony F. Botelho, Maya Israel |
| 2024 | MICCAI | Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning. | Peixian Liang, Hao Zheng, Hongming Li, Yuxin Gong, Spyridon Bakas, Yong Fan |
| 2023 | AAAI | Causal Recurrent Variational Autoencoder for Medical Time Series Generation. | Hongming Li, Shujian Yu, Jos C. Prncipe |
| 2022 | ICASSP | Deep Deterministic Independent Component Analysis for Hyperspectral Unmixing. | Hongming Li, Shujian Yu, Jos C. Prncipe |
| 2021 | IJCNN | Speeding Up Reinforcement Learning by Exploiting Causality in Reward Sequences. | Hongming Li, Jos C. Prncipe |
| 2020 | IJCNN | Cognitive Architecture for Video Games. | Hongming Li, Ying Ma, Jos C. Prncipe |
| 2020 | MICCAI | A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. | Chongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan |
| 2019 | MICCAI | Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. | Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan |
| 2019 | MICCAI | Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. | Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan |
| 2018 | AAAI | Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity. | Xiaofeng Zhu, Hongming Li, Yong Fan |
| 2018 | MICCAI | Identification of Temporal Transition of Functional States Using Recurrent Neural Networks from Functional MRI. | Hongming Li, Yong Fan |
| 2018 | MICCAI | Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks. | Hongming Li, Yong Fan |
| 2018 | MICCAI | Identification of Multi-scale Hierarchical Brain Functional Networks Using Deep Matrix Factorization. | Hongming Li, Xiaofeng Zhu, Yong Fan |
| 2013 | MICCAI | Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration. | Zhenyu Tang, Di Jiang, Hongming Li, Yong Fan |
| 2010 | ACCV | Segmentation of Brain Tumors in Multi-parametric MR Images via Robust Statistic Information Propagation. | Hongming Li, Ming Song, Yong Fan |