Hang Li

According to our database, Hang Li authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

CoRR, 2024

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.

Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang

CoRR, 2024

Sub-graph Based Diffusion Model for Link Prediction.

Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang

CoRR, 2024

Knowledge Tagging with Large Language Model based Multi-Agent System.

Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen

CoRR, 2024

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever.

Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen

CoRR, 2024

Large Language Models for Education: A Survey and Outlook.

Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen

CoRR, 2024

Automate Knowledge Concept Tagging on Math Questions with LLMs.

Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen

CoRR, 2024

Bringing Generative AI to Adaptive Learning in Education.

Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen

CoRR, 2024

Are Large Language Models (LLMs) Good Social Predictors?

Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Content Knowledge Identification with Multi-agent Large Language Models (LLMs).

Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.

Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

SIGKDD Explor., December, 2023

Graph-level Representation Learning with Joint-Embedding Predictive Architectures.

Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani

CoRR, 2023

Generative Diffusion Models on Graphs: Methods and Applications.

Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data.

Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations.

Hang Li, Yu Kang, Tianqiao Liu, Wenbiao Ding, Zitao Liu

CoRR, 2021

Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition.

Hang Li, Wenbiao Ding, Zhongqin Wu, Zitao Liu

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations.

Tianqiao Liu, Qiang Fang, Wenbiao Ding, Hang Li, Zhongqin Wu, Zitao Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations.

Hang Li, Wenbiao Ding, Yu Kang, Tianqiao Liu, Zhongqin Wu, Zitao Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation.

Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu, Zitao Liu

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models.

Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms.

Jiahao Chen, Hang Li, Wenbiao Ding, Zitao Liu

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition.

Hang Li, Wenbiao Ding, Zhongqin Wu, Zitao Liu

CoRR, 2020

Multimodal Learning for Classroom Activity Detection.

Hang Li, Yu Kang, Wenbiao Ding, Song Yang, Songfan Yang, Gale Yan Huang, Zitao Liu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach.

Hang Li, Wenbiao Ding, Songfan Yang, Zitao Liu

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Siamese Neural Networks for Class Activity Detection.

Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

A Multimodal Alerting System for Online Class Quality Assurance.

Jiahao Chen, Hang Li, Wenxin Wang, Wenbiao Ding, Gale Yan Huang, Zitao Liu

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019