Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic. - Zitao Liu 001; Yan Yan 024; Jian Yang 003; Milos Hauskrecht (ICDM, 2015)

A Practical Deep Online Ranking System in E-commerce Recommendation. - Yan Yan 024; Zitao Liu 001; Meng Zhao; Wentao Guo; Weipeng P. Yan; Yongjun Bao (ECML/PKDD (3), 2018)

A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic. - Zitao Liu 001; Yan Yan 024; Milos Hauskrecht (SIGIR, 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 001; Charles Sugnet; Mark Ulrich; Jure Leskovec (WWW, 2018)

What is That in Your Hand?: Recognizing Grasped Objects via Forearm Electromyography Sensing. - Junjun Fan; Xiangmin Fan; Feng Tian 001; Yang Li 058; Zitao Liu 001; Wei Sun; Hongan Wang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

A Multimodal Alerting System for Online Class Quality Assurance. - Jiahao Chen 006; Hang Li 007; Wenxin Wang; Wenbiao Ding; Gale Yan Huang; Zitao Liu 001 (AIED (2), 2019)

Automatic Short Answer Grading via Multiway Attention Networks. - Tianqiao Liu; Wenbiao Ding; Zhiwei Wang 001; Jiliang Tang; Gale Yan Huang; Zitao Liu 001 (AIED (2), 2019)

Deep Knowledge Tracing with Side Information. - Zhiwei Wang 001; Xiaoqin Feng; Jiliang Tang; Gale Yan Huang; Zitao Liu 001 (AIED (2), 2019)

Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. - Guowei Xu; Wenbiao Ding; Jiliang Tang; Songfan Yang; Gale Yan Huang; Zitao Liu 001 (ICDE, 2019)

Recommender Systems with Heterogeneous Side Information. - Tianqiao Liu; Zhiwei Wang 001; Jiliang Tang; Songfan Yang; Gale Yan Huang; Zitao Liu 001 (WWW, 2019)

R-Transformer: Recurrent Neural Network Enhanced Transformer. - Zhiwei Wang 001; Yao Ma 001; Zitao Liu 001; Jiliang Tang (CoRR, 2019)

Dolphin: A Verbal Fluency Evaluation System for Elementary Education. - Zitao Liu 001; Guowei Xu; Tianqiao Liu; Weiping Fu; Wenbiao Ding; Yujia Song; Chaoyou Guo; Cong Kong; Gale Yan Huang (CoRR, 2019)

Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond. - Zitao Liu 001; Zhexuan Xu; Yan Yan 024 (CoRR, 2019)

Say What I Want: Towards the Dark Side of Neural Dialogue Models. - Haochen Liu; Tyler Derr; Zitao Liu 001; Jiliang Tang (CoRR, 2019)

Graduate Employment Prediction with Bias. - Teng Guo; Feng Xia 001; Shihao Zhen; Xiaomei Bai; Dongyu Zhang 001; Zitao Liu 001; Jiliang Tang (AAAI, 2020)

Learning Multi-Level Dependencies for Robust Word Recognition. - Zhiwei Wang 001; Hui Liu 031; Jiliang Tang; Songfan Yang; Gale Yan Huang; Zitao Liu 001 (AAAI, 2020)

Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. - Gale Yan Huang; Jiahao Chen 006; Haochen Liu; Weiping Fu; Wenbiao Ding; Jiliang Tang; Songfan Yang; Guoliang Li 001; Zitao Liu 001 (AIED (1), 2020)

Siamese Neural Networks for Class Activity Detection. - Hang Li 007; Zhiwei Wang 001; Jiliang Tang; Wenbiao Ding; Zitao Liu 001 (AIED (2), 2020)

Automatic Dialogic Instruction Detection for K-12 Online One-on-One Classes. - Shiting Xu; Wenbiao Ding; Zitao Liu 001 (AIED (2), 2020)

Does Gender Matter? Towards Fairness in Dialogue Systems. - Haochen Liu; Jamell Dacon; Wenqi Fan; Hui Liu 031; Zitao Liu 001; Jiliang Tang (COLING, 2020)

Personalized Multimodal Feedback Generation in Education. - Haochen Liu; Zitao Liu 001; Zhongqin Wu; Jiliang Tang (COLING, 2020)

Sequence Learning with Side Dependencies. - Zhiwei Wang 001; Hui Liu 031; Gale Yan Huang; Zitao Liu 001 (DSAA, 2020)

Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach. - Hang Li 007; Wenbiao Ding; Songfan Yang; Zitao Liu 001 (EDM, 2020)

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. - Haochen Liu; Wentao Wang 006; Yiqi Wang 001; Hui Liu 031; Zitao Liu 001; Jiliang Tang (EMNLP (1), 2020)

Multimodal Learning for Classroom Activity Detection. - Hang Li 007; Yu Kang; Wenbiao Ding; Song Yang; Songfan Yang; Gale Yan Huang; Zitao Liu 001 (ICASSP, 2020)

Learning from Incomplete Labeled Data via Adversarial Data Generation. - Wentao Wang 006; Tyler Derr; Yao Ma 001; Suhang Wang; Hui Liu 031; Zitao Liu 001; Jiliang Tang (ICDM, 2020)

Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. - Zheng Zhang 020; Lizi Liao; Xiaoyan Zhu 001; Tat-Seng Chua; Zitao Liu 001; Yan Huang; Minlie Huang (AACL/IJCNLP, 2020)

Recent Advances in Multimodal Educational Data Mining in K-12 Education. - Zitao Liu 001; Songfan Yang; Jiliang Tang; Neil T. Heffernan; Rose Luckin (KDD, 2020)

CLEARER: Multi-Scale Neural Architecture Search for Image Restoration. - Yuanbiao Gou; Boyun Li; Zitao Liu 001; Songfan Yang; Xi Peng 001 (NeurIPS, 2020)

Global-and-Local Aware Data Generation for the Class Imbalance Problem. - Wentao Wang 006; Suhang Wang; Wenqi Fan; Zitao Liu 001; Jiliang Tang (SDM, 2020)

Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education. - Zitao Liu 001; Guowei Xu; Tianqiao Liu; Weiping Fu; Yubi Qi; Wenbiao Ding; Yujia Song; Chaoyou Guo; Cong Kong; Songfan Yang; Gale Yan Huang (WWW, 2020)

Self-supervised Learning on Graphs: Deep Insights and New Direction. - Wei Jin 009; Tyler Derr; Haochen Liu; Yiqi Wang 001; Suhang Wang; Zitao Liu 001; Jiliang Tang (CoRR, 2020)

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations. - Tianqiao Liu; Qian Fang; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001 (CoRR, 2020)

Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition. - Hang Li 007; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001 (CoRR, 2020)

AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text. - Zhihong Shao; Zitao Liu 001; Jiyong Zhang; Zhongqin Wu; Minlie Huang (CoRR, 2020)

Zero-Shot Image Dehazing. - Boyun Li; Yuanbiao Gou; Jerry Zitao Liu; Hongyuan Zhu; Joey Tianyi Zhou; Xi Peng 001 (IEEE Trans. Image Process., 2020)

Contrastive Clustering. - Yunfan Li 003; Peng Hu 002; Jerry Zitao Liu; Dezhong Peng; Joey Tianyi Zhou; Xi Peng 001 (AAAI, 2021)

Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. - Jian Guan 002; Xiaoxi Mao; Changjie Fan; Zitao Liu 001; Wenbiao Ding; Minlie Huang (ACL/IJCNLP (1), 2021)

OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. - Jian Guan 002; Zhexin Zhang; Zhuoer Feng; Zitao Liu 001; Wenbiao Ding; Xiaoxi Mao; Changjie Fan; Minlie Huang (ACL/IJCNLP (1), 2021)

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. - Haochen Liu; Wei Jin 009; Hamid Karimi; Zitao Liu 001; Jiliang Tang (ACL/IJCNLP (Findings), 2021)

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms. - Jiahao Chen 006; Hang Li 007; Wenbiao Ding; Zitao Liu 001 (AIED (2), 2021)

Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models. - Yang Hao 004; Hang Li 007; Wenbiao Ding; Zhongqin Wu; Jiliang Tang; Rose Luckin; Zitao Liu 001 (AIED (2), 2021)

A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation. - Hang Li 007; Yu Kang; Yang Hao 004; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001 (AIED (2), 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 001; Jiliang Tang; Zitao Liu 001 (AIED (2), 2021)

Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension. - Shiting Xu; Guowei Xu; Peilei Jia; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001 (AIED (1), 2021)

COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction. - Yijie Lin 001; Yuanbiao Gou; Zitao Liu 001; Boyun Li; Jiancheng Lv 001; Xi Peng 001 (CVPR, 2021)

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss. - Mouxing Yang; Yunfan Li 003; Zhenyu Huang 005; Zitao Liu 001; Peng Hu 002; Xi Peng 001 (CVPR, 2021)

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. - Hang Li 007; Wenbiao Ding; Yu Kang; Tianqiao Liu; Zhongqin Wu; Zitao Liu 001 (EMNLP (1), 2021)

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations. - Tianqiao Liu; Qiang Fang; Wenbiao Ding; Hang Li 007; Zhongqin Wu; Zitao Liu 001 (EMNLP (1), 2021)

CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling. - Kaiyu Li; Guoliang Li 001; Yong Wang; Yan Huang; Zitao Liu 001; Zhongqin Wu (ICDE, 2021)

Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition. - Hang Li 007; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001 (Interspeech, 2021)

Graph Neural Networks with Adaptive Residual. - Xiaorui Liu; Jiayuan Ding; Wei Jin 009; Han Xu 002; Yao Ma 001; Zitao Liu 001; Jiliang Tang (NeurIPS, 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 001 (ECML/PKDD (5), 2021)

Temporal-aware Language Representation Learning From Crowdsourced Labels. - Yang Hao 004; Xiao Zhai; Wenbiao Ding; Zitao Liu 001 (RepL4NLP@ACL-IJCNLP, 2021)

Node Similarity Preserving Graph Convolutional Networks. - Wei Jin 009; Tyler Derr; Yiqi Wang 001; Yao Ma 001; Zitao Liu 001; Jiliang Tang (WSDM, 2021)

Towards the Memorization Effect of Neural Networks in Adversarial Training. - Han Xu 002; Xiaorui Liu; Wentao Wang 006; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001; Anil K. Jain 001; Jiliang Tang (CoRR, 2021)

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. - Hang Li 007; Yu Kang; Tianqiao Liu; Wenbiao Ding; Zitao Liu 001 (CoRR, 2021)

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network. - Boyun Li; Yuanbiao Gou; Shuhang Gu; Zitao Liu 001; Joey Tianyi Zhou; Xi Peng 001 (Int. J. Comput. Vis., 2021)

Interactive Knowledge Distillation for image classification. - Shipeng Fu; Zhen Li 031; Zitao Liu 001; Xiaomin Yang (Neurocomputing, 2021)

A lightweight multi-scale feature integration network for real-time single image super-resolution. - Zheng He; Kai Liu 012; Zitao Liu 001; Qingyu Dou; 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 002; Gwanggil Jeon; Zitao Liu 001; Rui Zhong; Xiaomin Yang (J. Real Time Image Process., 2021)

Efficient local cascading residual network for real-time single image super-resolution. - Haoran Yang; Qingyu Dou; Kai Liu 012; Zitao Liu 001; Rita Francese; Xiaomin Yang (J. Real Time Image Process., 2021)

SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. - Feng Xia 001; Teng Guo; Xiaomei Bai; Adrian Shatte; Zitao Liu 001; Jiliang Tang (Trans. Data Sci., 2021)

Wide & Deep Learning for Judging Student Performance in Online One-on-One Math Classes. - Jiahao Chen 006; Zitao Liu 001; Weiqi Luo 002 (AIED (2), 2022)

A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online Learning. - Shuyan Huang; Qiongqiong Liu; Jiahao Chen 006; Xiangen Hu; Zitao Liu 001; Weiqi Luo 002 (AIED (2), 2022)

DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments. - Jiahao Chen 006; Shuyan Huang; Zitao Liu 001; Weiqi Luo 002 (CIKM, 2022)

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. - Zitao Liu 001; Qiongqiong Liu; Jiahao Chen 006; Shuyan Huang; Jiliang Tang; Weiqi Luo 002 (NeurIPS, 2022)

Learning from Imbalanced Crowdsourced Labeled Data. - Wentao Wang 006; Joseph Thekinen; Xiaorui Liu; Zitao Liu 001; Jiliang Tang (SDM, 2022)

A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education. - Zitao Liu 001 (WSDM, 2022)

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners. - Qiongqiong Liu; Shuyan Huang; Zitao Liu 001; Weiqi Luo 002 (CoRR, 2022)

Probabilistic Categorical Adversarial Attack & Adversarial Training. - Pengfei He; Han Xu 002; Jie Ren 019; Yuxuan Wan; Zitao Liu 001; Jiliang Tang (CoRR, 2022)

NeuCrowd: neural sampling network for representation learning with crowdsourced labels. - Yang Hao 004; Wenbiao Ding; Zitao Liu 001 (Knowl. Inf. Syst., 2022)

LNMF: lightweight network for multi-focus image fusion. - Yang Zhou; Kai Liu 012; Qingyu Dou; Zitao Liu 001; Gwanggil Jeon; Xiaomin Yang (Multim. Tools Appl., 2022)

Representation Learning From Limited Educational Data With Crowdsourced Labels. - Wentao Wang 006; Guowei Xu; Wenbiao Ding; Gale Yan Huang; Guoliang Li 001; Jiliang Tang; Zitao Liu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations. - Jiahao Chen 006; Zitao Liu 001; Shuyan Huang; Qiongqiong Liu; Weiqi Luo 002 (AAAI, 2023)

Empowering Education with LLMs - The Next-Gen Interface and Content Generation. - Steven Moore; Richard Jiarui Tong; Anjali Singh; Zitao Liu 001; Xiangen Hu; Yu Lu 003; Joleen Liang; Chen Cao 005; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; John C. Stamper (AIED (Posters/Late Breaking Results/...), 2023)

A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation. - Jinglei Yu; Zhihan Li; Zitao Liu 001; Mi Tian; Yu Lu 003 (AIED (Posters/Late Breaking Results/...), 2023)

Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue. - Jiahao Chen 006; Zitao Liu 001; Shuyan Huang; Yaying Huang; Xiangyu Zhao 001; Boyu Gao 003; Weiqi Luo 002 (CIKM, 2023)

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. - Qian Ma 012; Zijian Zhang 009; Xiangyu Zhao 001; Haoliang Li; Hongwei Zhao; Yiqi Wang 001; Zitao Liu 001; Wanyu Wang (CIKM, 2023)

MLPST: MLP is All You Need for Spatio-Temporal Prediction. - Zijian Zhang 009; Ze Huang; Zhiwei Hu; Xiangyu Zhao 001; Wanyu Wang; Zitao Liu 001; Junbo Zhang; S. Joe Qin; Hongwei Zhao (CIKM, 2023)

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. - Zijian Zhang 009; Xiangyu Zhao 001; Qidong Liu 002; Chunxu Zhang; Qian Ma 012; Wanyu Wang; Hongwei Zhao; Yiqi Wang 001; Zitao Liu 001 (CIKM, 2023)

A Topic-Aware Data Generation Framework for Math Word Problems. - Tianyu Zhao 006; Chengliang Chai; Jiabin Liu; Guoliang Li 001; Jianhua Feng; Zitao Liu 001 (DASFAA (4), 2023)

A Multimodal Language Learning System for Chinese Character Using Foundation Model. - Jinglei Yu; Zitao Liu 001; Mi Tian; Deliang Wang 001; Yu Lu 003 (EDM, 2023)

simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing. - Zitao Liu 001; Qiongqiong Liu; Jiahao Chen 006; Shuyan Huang; Weiqi Luo 002 (ICLR, 2023)

Probabilistic Categorical Adversarial Attack and Adversarial Training. - Han Xu 002; Pengfei He; Jie Ren 019; Yuxuan Wan; Zitao Liu 001; Hui Liu 031; Jiliang Tang (ICML, 2023)

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners. - Qiongqiong Liu; Yaying Huang; Zitao Liu 001; Shuyan Huang; Jiahao Chen 006; Xiangyu Zhao 001; Guimin Lin; Yuyu Zhou; Weiqi Luo 002 (ITS, 2023)

How does the Memorization of Neural Networks Impact Adversarial Robust Models? - Han Xu 002; Xiaorui Liu; Wentao Wang 006; Zitao Liu 001; Anil K. Jain 001; Jiliang Tang (KDD, 2023)

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information. - Zitao Liu 001; Qiongqiong Liu; Teng Guo; Jiahao Chen 006; Shuyan Huang; Xiangyu Zhao 001; Jiliang Tang; Weiqi Luo 002; Jian Weng 001 (NeurIPS, 2023)

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. - Xin Gan; Yuhao Wang 006; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Zitao Liu 001 (SIGIR, 2023)

Towards Robust Knowledge Tracing Models via k-Sparse Attention. - Shuyan Huang; Zitao Liu 001; Xiangyu Zhao 001; Weiqi Luo 002; Jian Weng 001 (SIGIR, 2023)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - Langming Liu; Liu Cai; Chi Zhang 060; Xiangyu Zhao 001; Jingtong Gao; Wanyu Wang; Yifu Lv; Wenqi Fan; Yiqi Wang 001; Ming He; Zitao Liu 001; Qing Li 001 (SIGIR, 2023)

Secure Authentication with 3D Manipulation in Dynamic Layout for Virtual Reality. - Zongyong Bu; Haojun Zheng; Weiqiang Xin; Yi Zhang; Zitao Liu 001; Weiqi Luo 002; Boyu Gao 003 (VR Workshops, 2023)

Recent Advances on Deep Learning based Knowledge Tracing. - Zitao Liu 001; Jiahao Chen 006; Weiqi Luo 002 (WSDM, 2023)

Enhancing Deep Knowledge Tracing with Auxiliary Tasks. - Zitao Liu 001; Qiongqiong Liu; Jiahao Chen 006; Shuyan Huang; Boyu Gao 003; Weiqi Luo 002; Jian Weng 001 (WWW, 2023)

Fairly Adaptive Negative Sampling for Recommendations. - Xiao Chen 016; Wenqi Fan; Jingfan Chen; Haochen Liu; Zitao Liu 001; Zhaoxiang Zhang 001; Qing Li 001 (WWW, 2023)

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. - Jiahao Liang; Xiangyu Zhao 001; Muyang Li; Zijian Zhang 009; Wanyu Wang; Haochen Liu; Zitao Liu 001 (WWW, 2023)

Global and local fusion ensemble network for facial expression recognition. - Zheng He; Bin Meng; Lining Wang; Gwanggil Jeon; Zitao Liu 001; Xiaomin Yang (Multim. Tools Appl., 2023)

Human Motion Transfer With 3D Constraints and Detail Enhancement. - Yang-Tian Sun; Qian-Cheng Fu; Yue-Ren Jiang; Zitao Liu 001; Yu-Kun Lai; Hongbo Fu 001; Lin Gao 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Knowledge Tracing as Language Processing: A Large-Scale Autoregressive Paradigm. - Bojun Zhan; Teng Guo; Xueyi Li 005; Mingliang Hou; Qianru Liang; Boyu Gao 003; Weiqi Luo 002; Zitao Liu 001 (AIED (1), 2024)

Automatic Lesson Plan Generation via Large Language Models with Self-critique Prompting. - Ying Zheng; Xueyi Li 005; Yaying Huang; Qianru Liang; Teng Guo; Mingliang Hou; Boyu Gao 003; Mi Tian; Zitao Liu 001; Weiqi Luo 002 (AIED Companion (1), 2024)

WieldingCanvas: Interactive Sketch Canvases for Freehand Drawing in VR. - Xiaohui Tan; Zhenxuan He; Can Liu 003; Mingming Fan 001; Tianren Luo; Zitao Liu 001; Mi Tian; Teng Han; Feng Tian 001 (CHI, 2024)

Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations. - Jiahao Chen 006; Zitao Liu 001; Mingliang Hou; Xiangyu Zhao 001; Weiqi Luo 002 (CIKM, 2024)

Efficient and Robust Regularized Federated Recommendation. - Langming Liu; Wanyu Wang; Xiangyu Zhao 001; Zijian Zhang 009; Chunxu Zhang; Shanru Lin; Yiqi Wang 001; Lixin Zou; Zitao Liu 001; Xuetao Wei; Hongzhi Yin; Qing Li 001 (CIKM, 2024)

Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation. - Xueyi Li 005; Youheng Bai; Teng Guo; Ying Zheng; Mingliang Hou; Bojun Zhan; Yaying Huang; Zitao Liu 001; Boyu Gao 003; Weiqi Luo 002 (ECAI, 2024)

Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases. - Xueyi Li 005; Youheng Bai; Teng Guo; Zitao Liu 001; Yaying Huang; Xiangyu Zhao 001; Feng Xia 001; Weiqi Luo 002; Jian Weng 001 (IJCAI, 2024)

AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. - Qingsong Wen; Jing Liang 008; Carles Sierra; Rose Luckin; Richard Jiarui Tong; Zitao Liu 001; Peng Cui 001; Jiliang Tang (KDD, 2024)

Cumulative Distribution Function based General Temporal Point Processes. - Maolin Wang 001; Yu Pan 005; Zenglin Xu; Ruocheng Guo; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Zitao Liu 001; Langming Liu (CoRR, 2024)

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. - Jiaxi Hu; Jingtong Gao; Xiangyu Zhao 001; Yuehong Hu; Yuxuan Liang; Yiqi Wang 001; Ming He; Zitao Liu 001; Hongzhi Yin (CoRR, 2024)

Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning. - Hengyuan Zhang; Zitao Liu 001; Shuyan Huang; Chenming Shang; Bojun Zhan; Yong Jiang 001 (CoRR, 2024)

Bidirectional Gated Mamba for Sequential Recommendation. - Ziwei Liu; Qidong Liu 002; Yejing Wang; Wanyu Wang; Pengyue Jia; Maolin Wang 001; Zitao Liu 001; Yi Chang 001; Xiangyu Zhao 001 (CoRR, 2024)

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding. - Tianqiao Liu; Zui Chen; Zitao Liu 001; Mi Tian; Weiqi Luo 002 (CoRR, 2024)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - Langming Liu; Xiangyu Zhao 001; Chi Zhang 060; Jingtong Gao; Wanyu Wang; Wenqi Fan; Yiqi Wang 001; Ming He; Zitao Liu 001; Qing Li 001 (CoRR, 2024)

Exploring Bimanual Haptic Feedback for Spatial Search in Virtual Reality. - Boyu Gao 003; Tong Shao; Huawei Tu; Qizi Ma; Zitao Liu 001; Teng Han (IEEE Trans. Vis. Comput. Graph., 2024)

Secure and Memorable Authentication Using Dynamic Combinations of 3D Objects in Virtual Reality. - Jiawei Wang; Boyu Gao 003; Huawei Tu; Hai-Ning Liang; Zitao Liu 001; Weiqi Luo 002; Jian Weng 001 (Int. J. Hum. Comput. Interact., 2024)

DeepFaceReshaping: Interactive deep face reshaping via landmark manipulation. - Shu-Yu Chen; Yue-Ren Jiang; Hongbo Fu 001; Xinyang Han; Zitao Liu 001; Rong Li; Lin Gao 004 (Comput. Vis. Media, 2024)

Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models. - Youheng Bai; Xueyi Li 005; Zitao Liu 001; Yaying Huang; Mi Tian; Weiqi Luo 002 (AAAI, 2025)

Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing. - Mingliang Hou; Xueyi Li 005; Teng Guo; Zitao Liu 001; Mi Tian; Renqiang Luo; Weiqi Luo 002 (AAAI, 2025)

SIGMA: Selective Gated Mamba for Sequential Recommendation. - Ziwei Liu; Qidong Liu 002; Yejing Wang; Wanyu Wang; Pengyue Jia; Maolin Wang 001; Zitao Liu 001; Yi Chang 001; Xiangyu Zhao 001 (AAAI, 2025)

What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning. - Yiran Ma; Zui Chen; Tianqiao Liu; Mi Tian; Zhuo Liu; Zitao Liu 001; Weiqi Luo 002 (AAAI, 2025)

HCGKT: Hierarchical Contrastive Graph Knowledge Tracing with Multi-level Feature Learning. - Zhiwei Huang; Zitao Liu 001 (AIED (3), 2025)

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages. - Zui Chen; Tianqiao Liu; Tongqing; Mi Tian; Weiqi Luo 002; Zitao Liu 001 (ICLR, 2025)

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. - Sheng Zhang 028; Maolin Wang 001; Wanyu Wang; Jingtong Gao; Xiangyu Zhao 001; Yu Yang 001; Xuetao Wei; Zitao Liu 001; Tong Xu 001 (KDD (1), 2025)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. - Maolin Wang 001; Sheng Zhang 028; Ruocheng Guo; Wanyu Wang; Xuetao Wei; Zitao Liu 001; Hongzhi Yin; Yi Chang 001; Xiangyu Zhao 001 (SIGIR, 2025)

Enhancing Knowledge Tracing through Decoupling Cognitive Pattern from Error-Prone Data. - Teng Guo; Yu Qin; Yubin Xia; Mingliang Hou; Zitao Liu 001; Feng Xia 001; Weiqi Luo 002 (WWW, 2025)

WasmGuard: Enhancing Web Security through Robust Raw-Binary Detection of WebAssembly Malware. - Yuxia Sun; Huihong Chen; Zhixiao Fu; Wenjian Lv; Zitao Liu 001; Haolin Liu (WWW, 2025)

Behavior Modeling Space Reconstruction for E-Commerce Search. - Yejing Wang; Chi Zhang 060; Xiangyu Zhao 001; Qidong Liu 002; Maolin Wang 001; Xuetao Wei; Zitao Liu 001; Xing Shi; Xudong Yang; Ling Zhong; Wei Lin 016 (WWW, 2025)

csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention. - Youheng Bai; Xueyi Li 005; Zitao Liu 001; Yaying Huang; Teng Guo; Mingliang Hou; Feng Xia 001; Weiqi Luo 002 (Expert Syst. Appl., 2025)

Learning multi-granularity temporal characteristics for attention based knowledge tracing. - Youheng Bai; Xueyi Li 005; Zitao Liu 001; Yaying Huang; Teng Guo; Mingliang Hou; Weiqi Luo 002 (Neurocomputing, 2025)

Advancing Math Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages. - Zui Chen; Tianqiao Liu; Mi Tian; Qing Tong; Weiqi Luo 002; Zitao Liu 001 (CoRR, 2025)

Behavior Modeling Space Reconstruction for E-Commerce Search. - Yejing Wang; Chi Zhang 060; Xiangyu Zhao 001; Qidong Liu 002; Maolin Wang 001; Xuewei Tao; Zitao Liu 001; Xing Shi; Xudong Yang; Ling Zhong; Wei Lin 016 (CoRR, 2025)

ArithmeticGPT: empowering small-size large language models with advanced arithmetic skills. - Zitao Liu 001; Ying Zheng; Zhibo Yin; Jiahao Chen 006; Tianqiao Liu; Mi Tian; Weiqi Luo 002 (Mach. Learn., 2025)

A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models. - Hengyuan Zhang; Zitao Liu 001; Chenming Shang; Dawei Li; Yong Jiang 001 (ACM Trans. Knowl. Discov. Data, 2025)

Deep Learning Based Knowledge Tracing: A Review, a Tool and Empirical Studies. - Zitao Liu 001; Teng Guo; Qianru Liang; Mingliang Hou; Bojun Zhan; Jiliang Tang; Weiqi Luo 002; Jian Weng 001 (IEEE Trans. Knowl. Data Eng., 2025)

Prerequisite Relation Learning: A Survey and Outlook. - Youheng Bai; Zitao Liu 001; Teng Guo; Mingliang Hou; Kui Xiao (ACM Comput. Surv., 2025)

Dual-attentional time-aware fusion networks for knowledge tracing. - Shuyan Huang; Zitao Liu 001; Qiongqiong Liu; Jiahao Chen 006; Yaying Huang (Inf. Fusion, 2026)