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ORCIDHang Li 0007
Person information
- affiliation: Michigan State University, East Lansing, MI, USA
- affiliation: TAL Education Group, TAL AI Lab, Beijing, China
Other persons with the same name
- Hang Li — disambiguation page
- Hang Li 0001
![[0000-0001-9628-3487]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9628-3487")
— ByteDance, China (and 4 more) - Hang Li 0002 — Hangzhou Dianzi University, School of Electronics and Information, China (and 2 more)
- Hang Li 0003 — Shenzhen Research Institute of Big Data, Shenzhen, Guangdong, China (and 2 more)
- Hang Li 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Hang Li 0005 — University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, NSW, Australia
- Hang Li 0006 — Shenyang Normal University, Software College, China
- Hang Li 0008 — Army Engineering University of PLA, PLAUST, College of Command and Control Engineering, Nanjing, China
- Hang Li 0009 — University of Queensland, IElab, Brisbane, Australia
- Hang Li 0010 — Ludwig Maximilian University of Munich, Munich, Germany (and 1 more)
- Hang Li 0011 — NEC Corporation, Kawasaki, Japan
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2020 – today
- 2024
[c13]Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-agent Large Language Models (LLMs). AIED (2) 2024: 284-292- [i21]Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu:
Are Large Language Models (LLMs) Good Social Predictors? CoRR abs/2402.12620 (2024) - [i20]Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen:
Bringing Generative AI to Adaptive Learning in Education. CoRR abs/2402.14601 (2024) - [i19]Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen:
Automate Knowledge Concept Tagging on Math Questions with LLMs. CoRR abs/2403.17281 (2024) - [i18]Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen:
Large Language Models for Education: A Survey and Outlook. CoRR abs/2403.18105 (2024) - [i17]Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs). CoRR abs/2404.07960 (2024) - [i16]Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen:
Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever. CoRR abs/2406.13885 (2024) - [i15]Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen:
Knowledge Tagging with Large Language Model based Multi-Agent System. CoRR abs/2409.08406 (2024) - [i14]Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang:
Sub-graph Based Diffusion Model for Link Prediction. CoRR abs/2409.08487 (2024) - 2023
- [j1]Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25(2): 42-61 (2023) - [c12]Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li:
Generative Diffusion Models on Graphs: Methods and Applications. IJCAI 2023: 6702-6711 - [i13]Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li:
Generative Diffusion Models on Graphs: Methods and Applications. CoRR abs/2302.02591 (2023) - [i12]Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR abs/2307.03393 (2023) - [i11]Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani:
Graph-level Representation Learning with Joint-Embedding Predictive Architectures. CoRR abs/2309.16014 (2023) - 2022
- [c11]Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding:
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data. AAAI 2022: 10875-10883 - [i10]Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding:
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data. CoRR abs/2204.04645 (2022) - 2021
- [c10]Jiahao Chen, Hang Li, Wenbiao Ding, Zitao Liu:
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms. AIED (2) 2021: 104-108 - [c9]Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu:
Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models. AIED (2) 2021: 183-189 - [c8]Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation. AIED (2) 2021: 251-255 - [c7]Hang Li, Wenbiao Ding, Yu Kang, Tianqiao Liu, Zhongqin Wu, Zitao Liu:
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. EMNLP (1) 2021: 3966-3977 - [c6]Tianqiao Liu, Qiang Fang, Wenbiao Ding, Hang Li, Zhongqin Wu, Zitao Liu:
Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations. EMNLP (1) 2021: 4225-4240 - [c5]Hang Li, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition. Interspeech 2021: 3375-3379 - [i9]Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu:
Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models. CoRR abs/2107.07119 (2021) - [i8]Jiahao Chen, Hang Li, Wenbiao Ding, Zitao Liu:
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms. CoRR abs/2107.07124 (2021) - [i7]Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation. CoRR abs/2107.07956 (2021) - [i6]Hang Li, Yu Kang, Tianqiao Liu, Wenbiao Ding, Zitao Liu:
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. CoRR abs/2109.00181 (2021) - 2020
- [c4]Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. AIED (2) 2020: 162-167 - [c3]Hang Li, Wenbiao Ding, Songfan Yang, Zitao Liu:
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach. EDM 2020 - [c2]Hang Li, Yu Kang, Wenbiao Ding, Song Yang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Multimodal Learning for Classroom Activity Detection. ICASSP 2020: 9234-9238 - [i5]Hang Li, Wenbiao Ding, Songfan Yang, Zitao Liu:
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach. CoRR abs/2003.09670 (2020) - [i4]Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. CoRR abs/2005.07549 (2020) - [i3]Hang Li, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition. CoRR abs/2010.12733 (2020)
2010 – 2019
- 2019
- [c1]Jiahao Chen, Hang Li, Wenxin Wang, Wenbiao Ding, Gale Yan Huang, Zitao Liu:
A Multimodal Alerting System for Online Class Quality Assurance. AIED (2) 2019: 381-385 - [i2]Jiahao Chen, Hang Li, Wenxin Wang, Wenbiao Ding, Gale Yan Huang, Zitao Liu:
A Multimodal Alerting System for Online Class Quality Assurance. CoRR abs/1909.11765 (2019) - [i1]Hang Li, Yu Kang, Wenbiao Ding, Song Yang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Multimodal Learning For Classroom Activity Detection. CoRR abs/1910.13799 (2019)
Coauthor Index
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