A Multimodal Alerting System for Online Class Quality Assurance. - Jiahao Chen 006; Hang Li 007; Wenxin Wang; Wenbiao Ding; Gale Yan Huang; Zitao Liu 001 (AIED (2), 2019)

Siamese Neural Networks for Class Activity Detection. - Hang Li 007; Zhiwei Wang 001; Jiliang Tang; Wenbiao Ding; Zitao Liu 001 (AIED (2), 2020)

Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach. - Hang Li 007; Wenbiao Ding; Songfan Yang; Zitao Liu 001 (EDM, 2020)

Multimodal Learning for Classroom Activity Detection. - Hang Li 007; Yu Kang; Wenbiao Ding; Song Yang; Songfan Yang; Gale Yan Huang; Zitao Liu 001 (ICASSP, 2020)

Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition. - Hang Li 007; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001 (CoRR, 2020)

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms. - Jiahao Chen 006; Hang Li 007; Wenbiao Ding; Zitao Liu 001 (AIED (2), 2021)

Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models. - Yang Hao 004; Hang Li 007; Wenbiao Ding; Zhongqin Wu; Jiliang Tang; Rose Luckin; Zitao Liu 001 (AIED (2), 2021)

A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation. - Hang Li 007; Yu Kang; Yang Hao 004; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001 (AIED (2), 2021)

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. - Hang Li 007; Wenbiao Ding; Yu Kang; Tianqiao Liu; Zhongqin Wu; Zitao Liu 001 (EMNLP (1), 2021)

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations. - Tianqiao Liu; Qiang Fang; Wenbiao Ding; Hang Li 007; Zhongqin Wu; Zitao Liu 001 (EMNLP (1), 2021)

Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition. - Hang Li 007; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001 (Interspeech, 2021)

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. - Hang Li 007; Yu Kang; Tianqiao Liu; Wenbiao Ding; Zitao Liu 001 (CoRR, 2021)

Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data. - Yu Kang; Tianqiao Liu; Hang Li 007; Yang Hao 004; Wenbiao Ding (AAAI, 2022)

Generative Diffusion Models on Graphs: Methods and Applications. - Chengyi Liu; Wenqi Fan; Yunqing Liu; Jiatong Li 003; Hang Li 007; Hui Liu 031; Jiliang Tang; Qing Li 001 (IJCAI, 2023)

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. - Zhikai Chen; Haitao Mao; Hang Li 007; Wei Jin 009; Hongzhi Wen; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Wenqi Fan; Hui Liu 031; Jiliang Tang (SIGKDD Explor., 2023)

Content Knowledge Identification with Multi-agent Large Language Models (LLMs). - Kaiqi Yang 001; Yucheng Chu; Taylor Darwin; Ahreum Han; Hang Li 007; Hongzhi Wen; Yasemin Copur-Gencturk; Jiliang Tang; Hui Liu 031 (AIED (2), 2024)

Are Large Language Models (LLMs) Good Social Predictors? - Kaiqi Yang 001; Hang Li 007; Hongzhi Wen; Tai-Quan Peng; Jiliang Tang; Hui Liu 031 (EMNLP (Findings), 2024)

Sub-Graph Based Diffusion Model for Link Prediction. - Hang Li 007; Wei Jin 009; Geri Skenderi; Harry Shomer; Wenzhuo Tang; Wenqi Fan; Jiliang Tang (LoG, 2024)

Bringing Generative AI to Adaptive Learning in Education. - Hang Li 007; Tianlong Xu; Chaoli Zhang 001; Eason Chen; Jing Liang 008; Xing Fan; Haoyang Li; Jiliang Tang; Qingsong Wen (CoRR, 2024)

Automate Knowledge Concept Tagging on Math Questions with LLMs. - Hang Li 007; Tianlong Xu; Jiliang Tang; Qingsong Wen (CoRR, 2024)

Large Language Models for Education: A Survey and Outlook. - Shen Wang 005; Tianlong Xu; Hang Li 007; Chaoli Zhang 001; Joleen Liang; Jiliang Tang; Philip S. Yu; Qingsong Wen (CoRR, 2024)

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever. - Hang Li 007; Tianlong Xu; Jiliang Tang; Qingsong Wen (CoRR, 2024)

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. - Yucheng Chu; Hang Li 007; Kaiqi Yang 001; Harry Shomer; Hui Liu 031; Yasemin Copur-Gencturk; Jiliang Tang (CoRR, 2024)

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. - Yibo Yan; Shen Wang 005; Jiahao Huo; Hang Li 007; Boyan Li; Jiamin Su; Xiong Gao; Yifan Zhang 004; Tianlong Xu; Zhendong Chu; Aoxiao Zhong; Kun Wang 042; et al. (CoRR, 2024)

Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization. - Kaiqi Yang 001; Hang Li 007; Yucheng Chu; Yuping Lin; Tai-Quan Peng; Hui Liu 031 (CoRR, 2024)

Knowledge Tagging with Large Language Model Based Multi-Agent System. - Hang Li 007; Tianlong Xu; Ethan Chang; Qingsong Wen (AAAI, 2025)

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions. - Hang Li 007; Tianlong Xu; Kaiqi Yang 001; Yucheng Chu; Yanling Chen; Yichi Song; Qingsong Wen; Hui Liu 031 (ACL (1), 2025)

Bringing Generative Artificial Intelligence (GenAI) to Education. - Hang Li 007; Kaiqi Yang 001; Yucheng Chu; Jiliang Tang (EDM, 2025)

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. - Yucheng Chu; Hang Li 007; Kaiqi Yang 001; Harry Shomer; Yasemin Copur-Gencturk; Leonora Kaldaras; Kevin C. Haudek; Joseph Krajcik; Namsoo Shin; Hui Liu 031; Jiliang Tang (EDM, 2025)

Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation. - Yucheng Chu; Peng He; Hang Li 007; Haoyu Han 001; Kaiqi Yang 001; Yu Xue; Tingting Li; Joseph Krajcik; Jiliang Tang (EDM, 2025)

Graph-level Representation Learning with Joint-Embedding Predictive Architectures. - Geri Skenderi; Hang Li 007; Jiliang Tang; Marco Cristani (Trans. Mach. Learn. Res., 2025)

From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education. - Yifan Zhang 004; Hang Li 007; Dingjie Song; Lichao Sun 001; Tianlong Xu; Qingsong Wen (CoRR, 2025)

LLM-based Automated Grading with Human-in-the-Loop. - Hang Li 007; Yucheng Chu; Kaiqi Yang 001; Yasemin Copur-Gencturk; Jiliang Tang (CoRR, 2025)

Kwai Keye-VL Technical Report. - Kwai Keye Team; Biao Yang; Bin Wen; Changyi Liu; Chenglong Chu; Chengru Song; Chongling Rao; Chuan Yi; Da Li 003; Dunju Zang; Fan Yang 094; Guorui Zhou; et al. (CoRR, 2025)

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers. - Kaiqi Yang 001; Hang Li 007; Yucheng Chu; Ahreum Han; Yasemin Copur-Gencturk; Jiliang Tang; Hui Liu 031 (CoRR, 2025)