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ORCIDZitao Liu 0001
Jerry Zitao Liu
Person information
- affiliation: Jinan University, Guangdong Institute of Smart Education, China
- affiliation (former): TAL Education Group, Beijing, China
Other persons with the same name
- Zitao Liu — disambiguation page
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2020 – today
- 2024
[j16]Shu-Yu Chen, Yue-Ren Jiang, Hongbo Fu, Xinyang Han, Zitao Liu, Rong Li, Lin Gao:
DeepFaceReshaping: Interactive deep face reshaping via landmark manipulation. Comput. Vis. Media 10(5): 949-963 (2024)- [j15]Jiawei Wang, Boyu Gao
, Huawei Tu, Hai-Ning Liang, Zitao Liu, Weiqi Luo, Jian Weng:
Secure and Memorable Authentication Using Dynamic Combinations of 3D Objects in Virtual Reality. Int. J. Hum. Comput. Interact. 40(17): 4608-4626 (2024) - [j14]Boyu Gao, Tong Shao, Huawei Tu, Qizi Ma, Zitao Liu, Teng Han:
Exploring Bimanual Haptic Feedback for Spatial Search in Virtual Reality. IEEE Trans. Vis. Comput. Graph. 30(5): 2422-2433 (2024) - [c79]Ying Zheng, Xueyi Li, Yaying Huang, Qianru Liang, Teng Guo, Mingliang Hou, Boyu Gao, Mi Tian, Zitao Liu, Weiqi Luo:
Automatic Lesson Plan Generation via Large Language Models with Self-critique Prompting. AIED Companion (1) 2024: 163-178 - [c78]Bojun Zhan, Teng Guo, Xueyi Li, Mingliang Hou, Qianru Liang, Boyu Gao, Weiqi Luo, Zitao Liu:
Knowledge Tracing as Language Processing: A Large-Scale Autoregressive Paradigm. AIED (1) 2024: 177-191 - [c77]Xiaohui Tan, Zhenxuan He, Can Liu, Mingming Fan, Tianren Luo, Zitao Liu, Mi Tian, Teng Han, Feng Tian:
WieldingCanvas: Interactive Sketch Canvases for Freehand Drawing in VR. CHI 2024: 725:1-725:16 - [c76]Xueyi Li, Youheng Bai, Teng Guo, Ying Zheng, Mingliang Hou, Bojun Zhan, Yaying Huang, Zitao Liu, Boyu Gao, Weiqi Luo:
Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation. ECAI 2024: 1479-1486 - [c75]Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng:
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases. IJCAI 2024: 5918-5926 - [c74]Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang:
AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. KDD 2024: 6743-6744 - [e5]Andrew M. Olney, Irene-Angelica Chounta, Zitao Liu, Olga C. Santos, Ig Ibert Bittencourt:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 25th International Conference, AIED 2024, Recife, Brazil, July 8-12, 2024, Proceedings, Part I. Communications in Computer and Information Science 2150, Springer 2024, ISBN 978-3-031-64314-9 [contents] - [e4]Andrew M. Olney, Irene-Angelica Chounta, Zitao Liu, Olga C. Santos, Ig Ibert Bittencourt:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 25th International Conference, AIED 2024, Recife, Brazil, July 8-12, 2024, Proceedings, Part II. Communications in Computer and Information Science 2151, Springer 2024, ISBN 978-3-031-64311-8 [contents] - [e3]Andrew M. Olney, Irene-Angelica Chounta, Zitao Liu, Olga C. Santos, Ig Ibert Bittencourt:
Artificial Intelligence in Education - 25th International Conference, AIED 2024, Recife, Brazil, July 8-12, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14829, Springer 2024, ISBN 978-3-031-64301-9 [contents] - [e2]Andrew M. Olney, Irene-Angelica Chounta, Zitao Liu, Olga C. Santos, Ig Ibert Bittencourt:
Artificial Intelligence in Education - 25th International Conference, AIED 2024, Recife, Brazil, July 8-12, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14830, Springer 2024, ISBN 978-3-031-64298-2 [contents] - [i62]Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu:
Cumulative Distribution Function based General Temporal Point Processes. CoRR abs/2402.00388 (2024) - [i61]Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin:
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. CoRR abs/2402.17334 (2024) - [i60]Hengyuan Zhang, Zitao Liu, Shuyan Huang, Chenming Shang, Bojun Zhan, Yong Jiang:
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning. CoRR abs/2403.06725 (2024) - [i59]Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng:
Towards Robust Knowledge Tracing Models via k-Sparse Attention. CoRR abs/2407.17097 (2024) - [i58]Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao:
Bidirectional Gated Mamba for Sequential Recommendation. CoRR abs/2408.11451 (2024) - [i57]Tianqiao Liu, Zui Chen, Zitao Liu, Mi Tian, Weiqi Luo:
Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding. CoRR abs/2409.08561 (2024) - 2023
- [j13]Zheng He, Bin Meng, Lining Wang, Gwanggil Jeon, Zitao Liu, Xiaomin Yang:
Global and local fusion ensemble network for facial expression recognition. Multim. Tools Appl. 82(4): 5473-5494 (2023) - [j12]Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang, Zitao Liu, Yu-Kun Lai, Hongbo Fu, Lin Gao:
Human Motion Transfer With 3D Constraints and Detail Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4682-4693 (2023) - [c73]Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo:
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations. AAAI 2023: 14196-14204 - [c72]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:
Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) 2023: 32-37 - [c71]Jinglei Yu, Zhihan Li, Zitao Liu, Mi Tian, Yu Lu:
A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation. AIED (Posters/Late Breaking Results/...) 2023: 193-199 - [c70]Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang:
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. CIKM 2023: 1756-1765 - [c69]Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu:
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. CIKM 2023: 3195-3205 - [c68]Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao:
MLPST: MLP is All You Need for Spatio-Temporal Prediction. CIKM 2023: 3381-3390 - [c67]Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo:
Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue. CIKM 2023: 3798-3802 - [c66]Tianyu Zhao, Chengliang Chai, Jiabin Liu, Guoliang Li, Jianhua Feng, Zitao Liu:
A Topic-Aware Data Generation Framework for Math Word Problems. DASFAA (4) 2023: 286-302 - [c65]Jinglei Yu, Zitao Liu, Mi Tian, Deliang Wang, Yu Lu:
A Multimodal Language Learning System for Chinese Character Using Foundation Model. EDM 2023 - [c64]Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo:
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing. ICLR 2023 - [c63]Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang:
Probabilistic Categorical Adversarial Attack and Adversarial Training. ICML 2023: 38428-38442 - [c62]Qiongqiong Liu, Yaying Huang, Zitao Liu, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Guimin Lin, Yuyu Zhou, Weiqi Luo:
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners. ITS 2023: 678-690 - [c61]Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang:
How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD 2023: 2801-2812 - [c60]Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng:
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information. NeurIPS 2023 - [c59]Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li:
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. SIGIR 2023: 289-299 - [c58]Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu:
AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. SIGIR 2023: 1833-1837 - [c57]Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng:
Towards Robust Knowledge Tracing Models via k-Sparse Attention. SIGIR 2023: 2441-2445 - [c56]Zongyong Bu, Haojun Zheng, Weiqiang Xin, Yi Zhang, Zitao Liu, Weiqi Luo, Boyu Gao:
Secure Authentication with 3D Manipulation in Dynamic Layout for Virtual Reality. VR Workshops 2023: 955-956 - [c55]Zitao Liu, Jiahao Chen, Weiqi Luo:
Recent Advances on Deep Learning based Knowledge Tracing. WSDM 2023: 1295-1296 - [c54]Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu:
MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. WWW 2023: 1109-1117 - [c53]Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li:
Fairly Adaptive Negative Sampling for Recommendations. WWW 2023: 3723-3733 - [c52]Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng:
Enhancing Deep Knowledge Tracing with Auxiliary Tasks. WWW 2023: 4178-4187 - [e1]Steven Moore, John C. Stamper, Richard Jiarui Tong, Chen Cao, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Hassan Khosravi, Paul Denny, Anjali Singh, Christopher Brooks:
Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 co-located with 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 7, 2023. CEUR Workshop Proceedings 3487, CEUR-WS.org 2023 [contents] - [i56]Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo:
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing. CoRR abs/2302.06881 (2023) - [i55]Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo:
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations. CoRR abs/2302.06885 (2023) - [i54]Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng:
Enhancing Deep Knowledge Tracing with Auxiliary Tasks. CoRR abs/2302.07942 (2023) - [i53]Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li:
Fairly Adaptive Negative Sampling for Recommendations. CoRR abs/2302.08266 (2023) - [i52]Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu:
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. CoRR abs/2309.09500 (2023) - [i51]Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang:
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. CoRR abs/2309.11284 (2023) - [i50]Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao:
MLPST: MLP is All You Need for Spatio-Temporal Prediction. CoRR abs/2309.13363 (2023) - 2022
- [j11]Yang Hao, Wenbiao Ding, Zitao Liu:
NeuCrowd: neural sampling network for representation learning with crowdsourced labels. Knowl. Inf. Syst. 64(4): 995-1012 (2022) - [j10]Yang Zhou, Kai Liu, Qingyu Dou, Zitao Liu, Gwanggil Jeon, Xiaomin Yang:
LNMF: lightweight network for multi-focus image fusion. Multim. Tools Appl. 81(16): 22335-22353 (2022) - [j9]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning From Limited Educational Data With Crowdsourced Labels. IEEE Trans. Knowl. Data Eng. 34(6): 2886-2898 (2022) - [c51]Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, Weiqi Luo:
A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online Learning. AIED (2) 2022: 208-212 - [c50]Jiahao Chen, Zitao Liu, Weiqi Luo:
Wide & Deep Learning for Judging Student Performance in Online One-on-One Math Classes. AIED (2) 2022: 213-217 - [c49]Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo:
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments. CIKM 2022: 3853-3857 - [c48]Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo:
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. NeurIPS 2022 - [c47]Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang:
Learning from Imbalanced Crowdsourced Labeled Data. SDM 2022: 594-602 - [c46]Zitao Liu:
A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education. WSDM 2022: 1646 - [i49]Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo:
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. CoRR abs/2206.11460 (2022) - [i48]Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo:
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments. CoRR abs/2206.12034 (2022) - [i47]Qiongqiong Liu, Shuyan Huang, Zitao Liu, Weiqi Luo:
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners. CoRR abs/2206.12036 (2022) - [i46]Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, Weiqi Luo:
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning. CoRR abs/2206.12291 (2022) - [i45]Jiahao Chen, Zitao Liu, Weiqi Luo:
Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes. CoRR abs/2207.10645 (2022) - [i44]Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang:
Probabilistic Categorical Adversarial Attack & Adversarial Training. CoRR abs/2210.09364 (2022) - 2021
- [j8]Boyun Li, Yuanbiao Gou, Shuhang Gu, Zitao Liu, Joey Tianyi Zhou, Xi Peng:
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network. Int. J. Comput. Vis. 129(5): 1754-1767 (2021) - [j7]Shipeng Fu, Zhen Li, Zitao Liu, Xiaomin Yang:
Interactive Knowledge Distillation for image classification. Neurocomputing 449: 411-421 (2021) - [j6]Zheng He, Kai Liu, Zitao Liu, Qingyu Dou, Xiaomin Yang:
A lightweight multi-scale feature integration network for real-time single image super-resolution. J. Real Time Image Process. 18(4): 1221-1234 (2021) - [j5]Haoran Yang, Qingyu Dou, Kai Liu, Zitao Liu, Rita Francese, Xiaomin Yang:
Efficient local cascading residual network for real-time single image super-resolution. J. Real Time Image Process. 18(4): 1235-1246 (2021) - [j4]Zhibing Lai, Lihui Chen, Gwanggil Jeon, Zitao Liu, Rui Zhong, Xiaomin Yang:
Real-time and effective pan-sharpening for remote sensing using multi-scale fusion network. J. Real Time Image Process. 18(5): 1635-1651 (2021) - [j3]Feng Xia, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang:
SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. Trans. Data Sci. 2(4): 39:1-39:24 (2021) - [c45]Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng:
Contrastive Clustering. AAAI 2021: 8547-8555 - [c44]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. ACL/IJCNLP (Findings) 2021: 74-85 - [c43]Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang:
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. ACL/IJCNLP (1) 2021: 6379-6393 - [c42]Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. ACL/IJCNLP (1) 2021: 6394-6407 - [c41]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 - [c40]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 - [c39]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 - [c38]Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu:
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. AIED (2) 2021: 256-261 - [c37]Shiting Xu, Guowei Xu, Peilei Jia, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension. AIED (1) 2021: 446-458 - [c36]Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng:
Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss. CVPR 2021: 1134-1143 - [c35]Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng:
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction. CVPR 2021: 11174-11183 - [c34]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 - [c33]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 - [c32]Kaiyu Li, Guoliang Li, Yong Wang, Yan Huang, Zitao Liu, Zhongqin Wu:
CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling. ICDE 2021: 289-300 - [c31]Hang Li, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition. Interspeech 2021: 3375-3379 - [c30]Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang:
Graph Neural Networks with Adaptive Residual. NeurIPS 2021: 9720-9733 - [c29]Guowei Xu, Wenbiao Ding, Weiping Fu, Zhongqin Wu, Zitao Liu:
Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining. ECML/PKDD (5) 2021: 285-301 - [c28]Yang Hao, Xiao Zhai, Wenbiao Ding, Zitao Liu:
Temporal-aware Language Representation Learning From Crowdsourced Labels. RepL4NLP@ACL-IJCNLP 2021: 47-56 - [c27]Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. WSDM 2021: 148-156 - [i43]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. CoRR abs/2105.02778 (2021) - [i42]Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. CoRR abs/2105.08920 (2021) - [i41]Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang:
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. CoRR abs/2105.08963 (2021) - [i40]Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang:
Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR abs/2106.04794 (2021) - [i39]Guowei Xu, Wenbiao Ding, Weiping Fu, Zhongqin Wu, Zitao Liu:
Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining. CoRR abs/2107.07113 (2021) - [i38]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) - [i37]Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu:
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. CoRR abs/2107.07122 (2021) - [i36]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) - [i35]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) - [i34]Shiting Xu, Guowei Xu, Peilei Jia, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension. CoRR abs/2107.07957 (2021) - [i33]Yang Hao, Xiao Zhai, Wenbiao Ding, Zitao Liu:
Temporal-aware Language Representation Learning From Crowdsourced Labels. CoRR abs/2107.07958 (2021) - [i32]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
- [j2]Boyun Li, Yuanbiao Gou, Jerry Zitao Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng:
Zero-Shot Image Dehazing. IEEE Trans. Image Process. 29: 8457-8466 (2020) - [c26]Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. AAAI 2020: 670-677 - [c25]Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-Level Dependencies for Robust Word Recognition. AAAI 2020: 9250-9257 - [c24]Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. AIED (2) 2020: 162-167 - [c23]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. AIED (1) 2020: 269-281 - [c22]Shiting Xu, Wenbiao Ding, Zitao Liu:
Automatic Dialogic Instruction Detection for K-12 Online One-on-One Classes. AIED (2) 2020: 340-345 - [c21]Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. COLING 2020: 1826-1840 - [c20]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. COLING 2020: 4403-4416 - [c19]Zhiwei Wang, Hui Liu, Gale Yan Huang, Zitao Liu:
Sequence Learning with Side Dependencies. DSAA 2020: 128-137 - [c18]Hang Li, Wenbiao Ding, Songfan Yang, Zitao Liu:
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach. EDM 2020 - [c17]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) 2020: 893-903 - [c16]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 - [c15]Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM 2020: 1316-1321 - [c14]Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. AACL/IJCNLP 2020: 122-132 - [c13]Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin:
Recent Advances in Multimodal Educational Data Mining in K-12 Education. KDD 2020: 3549-3550 - [c12]Yuanbiao Gou, Boyun Li, Zitao Liu, Songfan Yang, Xi Peng:
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration. NeurIPS 2020 - [c11]Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang:
Global-and-Local Aware Data Generation for the Class Imbalance Problem. SDM 2020: 307-315 - [c10]Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Yubi Qi, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Songfan Yang, Gale Yan Huang:
Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education. WWW 2020: 2641-2647 - [i31]Yang Hao, Wenbiao Ding, Zitao Liu:
NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels. CoRR abs/2003.09660 (2020) - [i30]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) - [i29]Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang, Zitao Liu, Yu-Kun Lai, Hongbo Fu, Lin Gao:
Human Motion Transfer with 3D Constraints and Detail Enhancement. CoRR abs/2003.13510 (2020) - [i28]Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness. CoRR abs/2004.09731 (2020) - [i27]Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. CoRR abs/2005.07549 (2020) - [i26]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms. CoRR abs/2005.07845 (2020) - [i25]Shiting Xu, Wenbiao Ding, Zitao Liu:
Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes. CoRR abs/2006.01204 (2020) - [i24]Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang:
Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR abs/2006.10141 (2020) - [i23]Boyun Li, Yuanbiao Gou, Shuhang Gu, Jerry Zitao Liu, Joey Tianyi Zhou, Xi Peng:
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network. CoRR abs/2006.16829 (2020) - [i22]Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng:
Contrastive Clustering. CoRR abs/2009.09687 (2020) - [i21]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning from Limited Educational Data with Crowdsourced Labels. CoRR abs/2009.11222 (2020) - [i20]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR abs/2009.13028 (2020) - [i19]Tianqiao Liu, Qian Fang, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations. CoRR abs/2010.06196 (2020) - [i18]Hang Li, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition. CoRR abs/2010.12733 (2020) - [i17]Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. CoRR abs/2011.00192 (2020) - [i16]Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. CoRR abs/2011.09643 (2020) - [i15]Zhihong Shao, Zitao Liu, Jiyong Zhang, Zhongqin Wu, Minlie Huang:
AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text. CoRR abs/2012.10235 (2020)
2010 – 2019
- 2019
- [c9]Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Automatic Short Answer Grading via Multiway Attention Networks. AIED (2) 2019: 169-173 - [c8]Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Deep Knowledge Tracing with Side Information. AIED (2) 2019: 303-308 - [c7]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 - [c6]Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. ICDE 2019: 1922-1927 - [c5]Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Recommender Systems with Heterogeneous Side Information. WWW 2019: 3027-3033 - [i14]Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang:
R-Transformer: Recurrent Neural Network Enhanced Transformer. CoRR abs/1907.05572 (2019) - [i13]Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Recommender Systems with Heterogeneous Side Information. CoRR abs/1907.08679 (2019) - [i12]Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. CoRR abs/1908.00086 (2019) - [i11]Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Gale Yan Huang:
Dolphin: A Verbal Fluency Evaluation System for Elementary Education. CoRR abs/1908.00358 (2019) - [i10]Zitao Liu, Zhexuan Xu, Yan Yan:
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond. CoRR abs/1908.07371 (2019) - [i9]Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Deep Knowledge Tracing with Side Information. CoRR abs/1909.00372 (2019) - [i8]Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang:
Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR abs/1909.06044 (2019) - [i7]Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Automatic Short Answer Grading via Multiway Attention Networks. CoRR abs/1909.10166 (2019) - [i6]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) - [i5]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR abs/1910.10486 (2019) - [i4]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) - [i3]Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-level Dependencies for Robust Word Recognition. CoRR abs/1911.09789 (2019) - [i2]Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. CoRR abs/1912.12012 (2019) - 2018
- [j1]Junjun Fan, Xiangmin Fan, Feng Tian, Yang Li, Zitao Liu, Wei Sun, Hongan Wang:
What is That in Your Hand?: Recognizing Grasped Objects via Forearm Electromyography Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 161:1-161:24 (2018) - [c4]Yan Yan, Zitao Liu, Meng Zhao, Wentao Guo, Weipeng P. Yan, Yongjun Bao:
A Practical Deep Online Ranking System in E-commerce Recommendation. ECML/PKDD (3) 2018: 186-201 - [c3]Zitao Liu, Yan Yan, Milos Hauskrecht:
A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic. SIGIR 2018: 889-892 - [c2]Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec:
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. WWW 2018: 1775-1784 - 2017
- [i1]Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec:
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. CoRR abs/1711.07601 (2017) - 2015
- [c1]Zitao Liu, Yan Yan, Jian Yang, Milos Hauskrecht:
Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic. ICDM 2015: 895-900
Coauthor Index
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