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


Sep 01, 2021
Hang Li, Yu Kang, Tianqiao Liu, Wenbiao Ding, Zitao Liu

* The 2021 Conference on Empirical Methods in Natural Language Processing 

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Temporal-aware Language Representation Learning From Crowdsourced Labels


Jul 15, 2021
Yang Hao, Xiao Zhai, Wenbiao Ding, Zitao Liu

* The 59th Annual Meeting of the Association for Computational Linguistics Workshop on Representation Learning for NLP (ACL RepL4NLP 2021) 

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Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension


Jul 15, 2021
Shiting Xu, Guowei Xu, Peilei Jia, Wenbiao Ding, Zhongqin Wu, Zitao Liu

* AIED'21: The 22nd International Conference on Artificial Intelligence in Education, 2021 

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A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation


Jul 15, 2021
Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu, Zitao Liu

* AIED'21: The 22nd International Conference on Artificial Intelligence in Education, 2021 

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


Jul 15, 2021
Jiahao Chen, Hang Li, Wenbiao Ding, Zitao Liu

* AIED'21: The 22nd International Conference on Artificial Intelligence in Education, 2021 

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Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models


Jul 15, 2021
Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu

* AIED'21: The 22nd International Conference on Artificial Intelligence in Education, 2021 

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Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models


Jul 15, 2021
Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu

* AIED'21: The 22nd International Conference on Artificial Intelligence in Education, 2021 

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Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining


Jul 15, 2021
Guowei Xu, Wenbiao Ding, Weiping Fu, Zhongqin Wu, Zitao Liu

* ECML-PKDD'21: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021 

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Towards the Memorization Effect of Neural Networks in Adversarial Training


Jun 09, 2021
Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil Jain, Jiliang Tang

* Preprint, under submission 

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Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence


May 19, 2021
Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang

* ACL 2021 Long Paper 

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OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics


May 19, 2021
Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang

* ACL 2021 Long Paper 

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The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification


May 06, 2021
Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang

* Accepted by Findings of ACL 2021 

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AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text


Dec 18, 2020
Zhihong Shao, Zitao Liu, Jiyong Zhang, Zhongqin Wu, Minlie Huang

* Work in progress 

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Node Similarity Preserving Graph Convolutional Networks


Nov 19, 2020
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang

* WSDM 2021 

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Personalized Multimodal Feedback Generation in Education


Oct 31, 2020
Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang

* Accepted in The 28th International Conference on Computational Linguistics (COLING 2020) 

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Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations


Oct 13, 2020
Tianqiao Liu, Qian Fang, Wenbiao Ding, Zhongqin Wu, Zitao Liu


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Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning


Sep 28, 2020
Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang

* Accepted by EMNLP 2020 

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Representation Learning from Limited Educational Data with Crowdsourced Labels


Sep 23, 2020
Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu

* IEEE Transactions on Knowledge and Data Engineering (Accepted) 

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Contrastive Clustering


Sep 21, 2020
Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng


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Self-supervised Learning on Graphs: Deep Insights and New Direction


Jun 17, 2020
Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang


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Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms


May 16, 2020
Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu

* The 21th International Conference on Artificial Intelligence in Education(AIED), 2020 

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Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes


May 16, 2020
Shiting Xu, Wenbiao Ding, Zitao Liu

* The 21th International Conference on Artificial Intelligence in Education(AIED), 2020 

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Siamese Neural Networks for Class Activity Detection


May 15, 2020
Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu

* The 21th International Conference on Artificial Intelligence in Education(AIED), 2020 

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Synchronous Bidirectional Learning for Multilingual Lip Reading


May 12, 2020
Mingshuang Luo, Shuang Yang, Xilin Chen, Zitao Liu, Shiguang Shan

* 12 pages,2 figures,4 tables 

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Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness


Apr 21, 2020
Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang


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


Mar 21, 2020
Hang Li, Wenbiao Ding, Songfan Yang, Zitao Liu


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NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels


Mar 21, 2020
Yang Hao, Wenbiao Ding, Zitao Liu


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Graduate Employment Prediction with Bias


Dec 27, 2019
Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang


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Learning Multi-level Dependencies for Robust Word Recognition


Nov 22, 2019
Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu


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