Zitao Liu

According to our database, Zitao Liu authored at least 115 papers between 2015 and 2024.

Collaborative distances:

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

2024

DeepFaceReshaping: Interactive deep face reshaping via landmark manipulation.

Shu-Yu Chen, Yue-Ren Jiang, Hongbo Fu, Xinyang Han, Zitao Liu, Rong Li, Lin Gao

Comput. Vis. Media, October, 2024

Secure and Memorable Authentication Using Dynamic Combinations of 3D Objects in Virtual Reality.

Jiawei Wang, Boyu Gao, Huawei Tu, Hai-Ning Liang, Zitao Liu, Weiqi Luo, Jian Weng

Int. J. Hum. Comput. Interact., September, 2024

Exploring Bimanual Haptic Feedback for Spatial Search in Virtual Reality.

Boyu Gao, Tong Shao, Huawei Tu, Qizi Ma, Zitao Liu, Teng Han

IEEE Trans. Vis. Comput. Graph., May, 2024

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.

Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li

CoRR, 2024

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding.

Tianqiao Liu, Zui Chen, Zitao Liu, Mi Tian, Weiqi Luo

CoRR, 2024

Bidirectional Gated Mamba for Sequential Recommendation.

Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao

CoRR, 2024

Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning.

Hengyuan Zhang, Zitao Liu, Shuyan Huang, Chenming Shang, Bojun Zhan, Yong Jiang

CoRR, 2024

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.

Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin

CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.

Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu

CoRR, 2024

AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning.

Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases.

Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation.

Xueyi Li, Youheng Bai, Teng Guo, Ying Zheng, Mingliang Hou, Bojun Zhan, Yaying Huang, Zitao Liu, Boyu Gao, Weiqi Luo

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Efficient and Robust Regularized Federated Recommendation.

Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations.

Jiahao Chen, Zitao Liu, Mingliang Hou, Xiangyu Zhao, Weiqi Luo

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

WieldingCanvas: Interactive Sketch Canvases for Freehand Drawing in VR.

Xiaohui Tan, Zhenxuan He, Can Liu, Mingming Fan, Tianren Luo, Zitao Liu, Mi Tian, Teng Han, Feng Tian

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Automatic Lesson Plan Generation via Large Language Models with Self-critique Prompting.

Ying Zheng, Xueyi Li, Yaying Huang, Qianru Liang, Teng Guo, Mingliang Hou, Boyu Gao, Mi Tian, Zitao Liu, Weiqi Luo

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

Knowledge Tracing as Language Processing: A Large-Scale Autoregressive Paradigm.

Bojun Zhan, Teng Guo, Xueyi Li, Mingliang Hou, Qianru Liang, Boyu Gao, Weiqi Luo, Zitao Liu

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

2023

Human Motion Transfer With 3D Constraints and Detail Enhancement.

Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang, Zitao Liu, Yu-Kun Lai, Hongbo Fu, Lin Gao

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Global and local fusion ensemble network for facial expression recognition.

Zheng He, Bin Meng, Lining Wang, Gwanggil Jeon, Zitao Liu, Xiaomin Yang

Multim. Tools Appl., February, 2023

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations.

Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu

Proceedings of the ACM Web Conference 2023, 2023

Fairly Adaptive Negative Sampling for Recommendations.

Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li

Proceedings of the ACM Web Conference 2023, 2023

Enhancing Deep Knowledge Tracing with Auxiliary Tasks.

Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng

Proceedings of the ACM Web Conference 2023, 2023

Recent Advances on Deep Learning based Knowledge Tracing.

Zitao Liu, Jiahao Chen, Weiqi Luo

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Secure Authentication with 3D Manipulation in Dynamic Layout for Virtual Reality.

Zongyong Bu, Haojun Zheng, Weiqiang Xin, Yi Zhang, Zitao Liu, Weiqi Luo, Boyu Gao

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.

Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Robust Knowledge Tracing Models via k-Sparse Attention.

Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.

Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information.

Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How does the Memorization of Neural Networks Impact Adversarial Robust Models?

Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners.

Qiongqiong Liu, Yaying Huang, Zitao Liu, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Guimin Lin, Yuyu Zhou, Weiqi Luo

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training.

Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang

Proceedings of the International Conference on Machine Learning, 2023

simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing.

Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Multimodal Language Learning System for Chinese Character Using Foundation Model.

Jinglei Yu, Zitao Liu, Mi Tian, Deliang Wang, Yu Lu

Proceedings of the 16th International Conference on Educational Data Mining, 2023

A Topic-Aware Data Generation Framework for Math Word Problems.

Tianyu Zhao, Chengliang Chai, Jiabin Liu, Guoliang Li, Jianhua Feng, Zitao Liu

Proceedings of the Database Systems for Advanced Applications, 2023

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.

Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MLPST: MLP is All You Need for Spatio-Temporal Prediction.

Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.

Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue.

Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation.

Jinglei Yu, Zhihan Li, Zitao Liu, Mi Tian, Yu Lu

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Empowering Education with LLMs - The Next-Gen Interface and Content Generation.

Steven Moore, Richard Jiarui Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Christopher Brooks, John C. Stamper

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations.

Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Representation Learning From Limited Educational Data With Crowdsourced Labels.

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

IEEE Trans. Knowl. Data Eng., 2022

LNMF: lightweight network for multi-focus image fusion.

Yang Zhou, Kai Liu, Qingyu Dou, Zitao Liu, Gwanggil Jeon, Xiaomin Yang

Multim. Tools Appl., 2022

NeuCrowd: neural sampling network for representation learning with crowdsourced labels.

Yang Hao, Wenbiao Ding, Zitao Liu

Knowl. Inf. Syst., 2022

Probabilistic Categorical Adversarial Attack & Adversarial Training.

Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang

CoRR, 2022

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners.

Qiongqiong Liu, Shuyan Huang, Zitao Liu, Weiqi Luo

CoRR, 2022

A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education.

Zitao Liu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Learning from Imbalanced Crowdsourced Labeled Data.

Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models.

Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments.

Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online Learning.

Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, Weiqi Luo

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Wide & Deep Learning for Judging Student Performance in Online One-on-One Math Classes.

Jiahao Chen, Zitao Liu, Weiqi Luo

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021

SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data.

Feng Xia, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang

Trans. Data Sci., 2021

Efficient local cascading residual network for real-time single image super-resolution.

Haoran Yang, Qingyu Dou, Kai Liu, Zitao Liu, Rita Francese, Xiaomin Yang

J. Real Time Image Process., 2021

Real-time and effective pan-sharpening for remote sensing using multi-scale fusion network.

Zhibing Lai, Lihui Chen, Gwanggil Jeon, Zitao Liu, Rui Zhong, Xiaomin Yang

J. Real Time Image Process., 2021

A lightweight multi-scale feature integration network for real-time single image super-resolution.

Zheng He, Kai Liu, Zitao Liu, Qingyu Dou, Xiaomin Yang

J. Real Time Image Process., 2021

Interactive Knowledge Distillation for image classification.

Shipeng Fu, Zhen Li, Zitao Liu, Xiaomin Yang

Neurocomputing, 2021

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network.

Boyun Li, Yuanbiao Gou, Shuhang Gu, Zitao Liu, Joey Tianyi Zhou, Xi Peng

Int. J. Comput. Vis., 2021

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

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

CoRR, 2021

Towards the Memorization Effect of Neural Networks in Adversarial Training.

Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang

CoRR, 2021

Node Similarity Preserving Graph Convolutional Networks.

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

Proceedings of the WSDM '21, 2021

Temporal-aware Language Representation Learning From Crowdsourced Labels.

Yang Hao, Xiao Zhai, Wenbiao Ding, Zitao Liu

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

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

Guowei Xu, Wenbiao Ding, Weiping Fu, Zhongqin Wu, Zitao Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Graph Neural Networks with Adaptive Residual.

Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling.

Kaiyu Li, Guoliang Li, Yong Wang, Yan Huang, Zitao Liu, Zhongqin Wu

Proceedings of the 37th IEEE International Conference on Data Engineering, 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

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss.

Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction.

Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension.

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

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

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

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

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

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

Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Clustering.

Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Zero-Shot Image Dehazing.

Boyun Li, Yuanbiao Gou, Jerry Zitao Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng

IEEE Trans. Image Process., 2020

AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text.

Zhihong Shao, Zitao Liu, Jiyong Zhang, Zhongqin Wu, Minlie Huang

CoRR, 2020

Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition.

Hang Li, Wenbiao Ding, Zhongqin Wu, Zitao Liu

CoRR, 2020

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations.

Tianqiao Liu, Qian Fang, Wenbiao Ding, Zhongqin Wu, Zitao Liu

CoRR, 2020

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

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

CoRR, 2020

Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education.

Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Yubi Qi, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Songfan Yang, Gale Yan Huang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Global-and-Local Aware Data Generation for the Class Imbalance Problem.

Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

CLEARER: Multi-Scale Neural Architecture Search for Image Restoration.

Yuanbiao Gou, Boyun Li, Zitao Liu, Songfan Yang, Xi Peng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Recent Advances in Multimodal Educational Data Mining in K-12 Education.

Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning Goal-oriented Dialogue Policy with opposite Agent Awareness.

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

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Learning from Incomplete Labeled Data via Adversarial Data Generation.

Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 20th IEEE International Conference on Data Mining, 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

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning.

Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 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

Sequence Learning with Side Dependencies.

Zhiwei Wang, Hui Liu, Gale Yan Huang, Zitao Liu

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Personalized Multimodal Feedback Generation in Education.

Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Does Gender Matter? Towards Fairness in Dialogue Systems.

Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

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

Shiting Xu, Wenbiao Ding, Zitao Liu

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

Neural Multi-task Learning for Teacher Question Detection in Online Classrooms.

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

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

Learning Multi-Level Dependencies for Robust Word Recognition.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graduate Employment Prediction with Bias.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Say What I Want: Towards the Dark Side of Neural Dialogue Models.

Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang

CoRR, 2019

Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond.

Zitao Liu, Zhexuan Xu, Yan Yan

CoRR, 2019

Dolphin: A Verbal Fluency Evaluation System for Elementary Education.

Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Gale Yan Huang

CoRR, 2019

R-Transformer: Recurrent Neural Network Enhanced Transformer.

Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang

CoRR, 2019

Recommender Systems with Heterogeneous Side Information.

Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu

Proceedings of the World Wide Web Conference, 2019

Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study.

Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Deep Knowledge Tracing with Side Information.

Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu

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

Automatic Short Answer Grading via Multiway Attention Networks.

Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu

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

2018

What is That in Your Hand?: Recognizing Grasped Objects via Forearm Electromyography Sensing.

Junjun Fan, Xiangmin Fan, Feng Tian, Yang Li, Zitao Liu, Wei Sun, Hongan Wang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time.

Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic.

Zitao Liu, Yan Yan, Milos Hauskrecht

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

A Practical Deep Online Ranking System in E-commerce Recommendation.

Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2015

Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic.

Zitao Liu, Yan Yan, Jian Yang, Milos Hauskrecht

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015