| 2025 | AAAI | Unlocking the Potential of Reverse Distillation for Anomaly Detection. | Xinyue Liu, Jianyuan Wang, Biao Leng, Shuo Zhang |
| 2025 | AAAI | Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection. | Linlin Zong, Wenmin Lin, Jiahui Zhou, Xinyue Liu, Xianchao Zhang, Bo Xu, Shimin Wu |
| 2025 | CIKM | Relational Multi-Path Enhancement for Extrapolative Relation Reasoning in Temporal Knowledge Graph. | Linlin Zong, Chi Ma, Jiahui Zhou, Xinyue Liu, Wenxin Liang, Xianchao Zhang, Bo Xu |
| 2025 | CIKM | Structuring Video Semantics with Temporal Triplets for Zero-Shot Video Question Answering. | Linlin Zong, Xinyu Zhai, Xinyue Liu, Wenxin Liang, Xianchao Zhang, Bo Xu |
| 2025 | COLING | Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs. | Yuwei Du, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang |
| 2025 | COLING | Conditional Semantic Textual Similarity via Conditional Contrastive Learning. | Xinyue Liu, Zeyang Qin, Zeyu Wang, Wenxin Liang, Linlin Zong, Bo Xu |
| 2025 | ICASSP | Online Contrastive Continual Learning with Hard Negative Samples. | Guanglu Wang, Xinyue Liu, Wentao Yang, Wenxin Liang, Linlin Zong, Xianchao Zhang |
| 2025 | MICCAI | HARM | Jianye Wang, Xinyue Liu, Zhiying Gong, Lingjie Yang, Hanwen Zhang, Yu Long, Yimeng Fan, Yuncheng Jiang, Xiaohui Duan, Weibing Zhao |
| 2025 | PAKDD | Time Interval Aware Graph Neural Networks for Session-Based Recommendation. | Zekun Xu, Xiaoxue Li, Zhanzuo Yin, Xinyue Liu, Junnan Zhuo, Shuai Xu, Xiao Zhang, Bohan Li |
| 2025 | UAI | Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning. | Wentao Yang, Xinyue Liu, Yunlong Gao, Wenxin Liang, Linlin Zong, Guanglu Wang, Xianchao Zhang |
| 2024 | AAAI | A Goal Interaction Graph Planning Framework for Conversational Recommendation. | Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang |
| 2024 | AAAI | Video-Context Aligned Transformer for Video Question Answering. | Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu |
| 2024 | ACL | Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection. | Linlin Zong, Jiahui Zhou, Wenmin Lin, Xinyue Liu, Xianchao Zhang, Bo Xu |
| 2024 | CogSci | Random Replaying Consolidated Knowledge in the Continual Learning Model. | Guanglu Wang, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang |
| 2024 | COLING | Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding. | Xinyue Liu, Jianan Zhang, Chi Ma, Wenxin Liang, Bo Xu, Linlin Zong |
| 2024 | COLING | RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion. | Linlin Zong, Zhenrong Xie, Chi Ma, Xinyue Liu, Xianchao Zhang, Bo Xu |
| 2024 | DASFAA | Next POI Recommendation based on Adaptive Graph Learning and Future Preferences. | Xiaoxue Li, Bohan Li, Yijun Chen, Xinyue Liu, Shuai Xu, Meng Wang |
| 2024 | DASFAA | Disentangled Representations for Cross-Domain Recommendation via Heterogeneous Graph Contrastive Learning. | Xinyue Liu, Bohan Li, Yijun Chen, Xiaoxue Li, Shuai Xu, Hongzhi Yin |
| 2024 | EMNLP | Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks. | Xinyue Liu, Yunlong Gao, Linlin Zong, Bo Xu |
| 2024 | HCI | Digitization of Cultural Relics: Augmented Reality Display of Ru Ware. | Jie Zhou, Xinyue Liu |
| 2024 | ICLR | General Stability Analysis for Zeroth-Order Optimization Algorithms. | Xinyue Liu, Hualin Zhang, Bin Gu, Hong Chen |
| 2024 | ICPR | Multi-modal Deep Emotion-Cause Pair Extraction for Video Corpus. | Qianli Zhao, Linlin Zong, Bo Xu, Xianchao Zhang, Xinyue Liu |
| 2024 | IJCNN | Online Class-incremental Continual Learning with Maximum Entropy Memory Update. | Guanglu Wang, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang |
| 2024 | INLG | Customizing Large Language Model Generation Style using Parameter-Efficient Finetuning. | Xinyue Liu, Harshita Diddee, Daphne Ippolito |
| 2024 | MMM | Fine-Grained Multi-modal Fundus Image Generation Based on Diffusion Models for Glaucoma Classification. | Xinyue Liu, Gang Yang, Yang Zhou, Yajie Yang, Weichen Huang, Dayong Ding, Jun Wu |
| 2024 | WWW | WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests. | Xinyue Liu, Zihe Song, Weike Fang, Wei Yang, Weihang Wang |
| 2024 | SIGIR | Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning. | Xiaotong Zhang, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang |
| 2023 | ACL | T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. | Jialu Wang, Xinyue Liu, Zonglin Di, Yang Liu, Xin Eric Wang |
| 2023 | HCI | Study on Temperament Characteristics of Air Traffic Controllers Based on BP Neural Network. | Tingting Lu, Xinyue Liu, Ning Li, Wen-Chin Li, Zhaoning Zhang |
| 2023 | ICASSP | Knowledge-Aware Graph Convolutional Network with Utterance-Specific Window Search for Emotion Recognition In Conversations. | Xiaotong Zhang, Peng He, Han Liu, Zhengxi Yin, Xinyue Liu, Xianchao Zhang |
| 2023 | ICONIP | Efficient Lightweight Network with Transformer-Based Distillation for Micro-crack Detection of Solar Cells. | Xiangying Xie, Xinyue Liu, QiXiang Chen, Biao Leng |
| 2023 | ICSE | Adhere: Automated Detection and Repair of Intrusive Ads. | Yutian Yan, Yunhui Zheng, Xinyue Liu, Nenad Medvidovic, Weihang Wang |
| 2022 | CHI | Hicclip: A Smart Sealing Rack Using Interactive Sounds to Intervene Snack Addictions. | Xinyue Liu, Xipei Ren, Xiaoqing Sun |
| 2022 | EMNLP | Multimodal Context Carryover. | Prashan Wanigasekara, Nalin Gupta, Fan Yang, Emre Barut, Zeynab Raeesy, Kechen Qin, Stephen Rawls, Xinyue Liu, Chengwei Su, Spurthi Sandiri |
| 2022 | HCI | Persuasive Design for Healthy Eating: A Scoping Review. | Xinyue Liu, Xipei Ren, Sibo Pan |
| 2022 | IJCNN | Crowd Counting based on Density Map Dynamic Refinement. | Shaoli Tian, Jun Sang, Xin Qiao, Xinyue Liu, Kai Liu, Xiaofeng Xia |
| 2022 | WCNC | Probabilistic Shaping for Multidimensional Signals with Autoencoder-based End-to-end Learning. | Xinyue Liu, Izzat Darwazeh, Nader Zein, Eisaku Sasaki |
| 2022 | UIC | MLRNet: Towards Real-Time Crowd Counting With Mobile-Based Lightweight Framework. | Peirong Ji, Xiaofeng Xia, Zhiwei Wu, Fusen Wang, Xinyue Liu, Jun Sang |
| 2021 | HCI | What Will Influence Pregnant Women's Acceptance of Fully Automated Vehicles? | Xinyue Liu, Siqi He, Xue Zhao, Hao Tan |
| 2021 | ICASSP | ASR N-Best Fusion Nets. | Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su |
| 2021 | IJCNN | Hint Pyramid Learning Via Salient Semantic Mining. | Jianyuan Wang, Xinyue Liu, Qianggang Cao, Biao Leng |
| 2021 | PDCAT | Adaptable Focal Loss for Imbalanced Text Classification. | Lu Cao, Xinyue Liu, Hong Shen |
| 2021 | VTC | Spectrally Efficient FDM System with Probabilistic Shaping. | Xinyue Liu, Izzat Darwazeh, Nader Zein, Eisaku Sasaki |
| 2020 | ACL | SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling. | Luoxin Chen, Weitong Ruan, Xinyue Liu, Jianhua Lu |
| 2020 | APWEB | Multi-task Attributed Graphical Lasso. | Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu |
| 2020 | COLING | Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention. | Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su |
| 2020 | DASFAA | Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation. | Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu |
| 2020 | EMNLP | Enhance Robustness of Sequence Labelling with Masked Adversarial Training. | Luoxin Chen, Xinyue Liu, Weitong Ruan, Jianhua Lu |
| 2020 | ICIP | Transductive Prototypical Network For Few-Shot Classification. | Xinyue Liu, Pengxin Liu, Linlin Zong |
| 2020 | ICPR | Constrained Spectral Clustering Network with Self-Training. | Xinyue Liu, Shichong Yang, Linlin Zong |
| 2020 | ISCAS | A Low-Cost Instrument for Estimating the Starch Content of Cassava Roots Based on the Measurement of RF Return Loss. | Temitope Odedeyi, Clive R. Poole, Xinyue Liu, Amany Kassem, Gideon Oyebode, Rabbi Ismail, Izzat Darwazeh |
| 2020 | KDD | Recurrent Networks for Guided Multi-Attention Classification. | Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore |
| 2020 | PAKDD | Deep Multimodal Clustering with Cross Reconstruction. | Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu |
| 2020 | SDM | Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data. | Xin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee, Constance M. Moore |
| 2019 | ICDCS | A Universal Method Based on Structure Subgraph Feature for Link Prediction over Dynamic Networks. | Xiao Li, Wenxin Liang, Xianchao Zhang, Xinyue Liu, Weili Wu |
| 2019 | VTC | Quadrupling the Data Rate for Narrowband Internet of Things without Modulation Upgrade. | Xinyue Liu, Izzat Darwazeh |
| 2019 | WWW | Signed Distance-based Deep Memory Recommender. | Thanh Tran, Xinyue Liu, Kyumin Lee, Xiangnan Kong |
| 2018 | AAAI | Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. | Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu |
| 2018 | ICDM | TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. | Xinyue Liu, Xiangnan Kong, Lei Liu, Kuorong Chiang |
| 2018 | ICDM | Coherent Graphical Lasso for Brain Network Discovery. | Hang Yin, Xiangnan Kong, Xinyue Liu |
| 2018 | KDD | Active Opinion Maximization in Social Networks. | Xinyue Liu, Xiangnan Kong, Philip S. Yu |
| 2017 | ICDM | BiCycle: Item Recommendation with Life Cycles. | Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong |
| 2017 | ICDM | Kernel-Based Feature Extraction for Collaborative Filtering. | Saket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu |
| 2017 | IJCNN | Collective discovery of brain networks with unknown groups. | Xinyue Liu, Xiangnan Kong, Philip S. Yu |
| 2017 | SDM | Unified and Contrasting Graphical Lasso for Brain Network Discovery. | Xinyue Liu, Xiangnan Kong, Ann B. Ragin |
| 2017 | SDM | Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. | Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu |
| 2016 | CIKM | Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media. | Xinyue Liu, Xiangnan Kong, Yanhua Li |
| 2016 | SDM | Kernelized Matrix Factorization for Collaborative Filtering. | Xinyue Liu, Charu C. Aggarwal, Yufeng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe |
| 2015 | AAAI | Constrained NMF-Based Multi-View Clustering on Unmapped Data. | Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu |
| 2014 | AAAI | Novel Density-Based Clustering Algorithms for Uncertain Data. | Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu |
| 2014 | ICDM | Topical Influential User Analysis with Relationship Strength Estimation in Twitter. | Xinyue Liu, Hua Shen, Fenglong Ma, Wenxin Liang |
| 2014 | ICDM | Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization. | Xianchao Zhang, Long Zhao, Linlin Zong, Xinyue Liu, Hong Yu |
| 2007 | ICCS | Data Set Homeomorphism Transformation Based Meta-clustering. | Xianchao Zhang, Yu Zong, He Jiang, Xinyue Liu |
| 2007 | ICNC | A Hybrid Approach to License Plate Segmentation under Complex Conditions. | Xianchao Zhang, Xinyue Liu, He Jiang |
| 2007 | PAKDD | A Clustering Algorithm Based on Mechanics. | Xianchao Zhang, He Jiang, Xinyue Liu, Hong Yu |