| 2026 | AAAI | Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification. | Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, Leo Yu Zhang |
| 2026 | ACL | TwiUSD: A Benchmark Dataset and Structure-Aware LLM Framework for User Stance Detection. | Fuqiang Niu, Zini Chen, Zhiyu Xie, Hu Huang, Qing Liao, Qianlong Wang, Genan Dai, Bowen Zhang |
| 2026 | ACL | Cause-CSD: A Challenge Multimodal Conversational Stance Cause Detection Dataset and Effective Method. | Fuqiang Niu, Bowen Zhang, Junting Zhu, Qing Liao, Genan Dai, Hu Huang |
| 2026 | ACL | Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation. | Lin Zhong, Renjin Zhu, Shujuan Ma, Jinhao Cui, Lingzhi Wang, Hao Chen, Qing Liao |
| 2026 | ACL | Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding. | Lin Zhong, Siyu Zhu, Zizhen Yuan, Jinhao Cui, Xinyang Zhao, Lingzhi Wang, Hao Chen, Qing Liao |
| 2026 | KDD | Improving Heterogeneous Graph Contrastive Learning Robustness via Hierarchical Vulnerability Protection. | Jinhao Cui, Chaoyang Li, Jianyang Qin, Lingzhi Wang, Cuiyun Gao, Qing Liao |
| 2025 | APSEC | PATCHOULI: Fine-grained Security Patch Detection Engine. | Binchang Li, Qingyuan Li, Cuiyun Gao, Qing Liao |
| 2025 | COLING | FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning. | Dongyi Zheng, Hongyu Zhang, Jianyang Zhai, Lin Zhong, Lingzhi Wang, Jiyuan Feng, Xiangke Liao, Yonghong Tian, Nong Xiao, Qing Liao |
| 2025 | CVPR | Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning. | Chaoyang Li, Jianyang Qin, Jinhao Cui, Zeyu Liu, Ning Hu, Qing Liao |
| 2025 | EuroSys | Themis: Finding Imbalance Failures in Distributed File Systems via a Load Variance Model. | Yuanliang Chen, Fuchen Ma, Yuanhang Zhou, Zhen Yan, Qing Liao, Yu Jiang |
| 2025 | ICCV | S | Shengpeng Wang, Yulong Xie, Qing Liao, Wei Wang |
| 2025 | ICDE | Adaptive Data and Task Joint Scheduling for Multi-Task Learning. | Zeyu Liu, Heyan Chai, Chaoyang Li, Lingzhi Wang, Qing Liao |
| 2025 | ICDE | Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract). | Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu |
| 2025 | IJCNN | FedSS: A Federated Semantic Segmentation Framework with Domain-Agnostic Feature Extraction and Fair Aggregation. | Liwen Liang, Jiyuan Feng, Lingzhi Wang, Qing Liao |
| 2025 | ICSE | Repository-Level Graph Representation Learning for Enhanced Security Patch Detection. | Xin-Cheng Wen, Zirui Lin, Cuiyun Gao, Hongyu Zhang, Yong Wang, Qing Liao |
| 2025 | IWQoS | WisePIFinder: Efficient and Accurate Detection of Persistent and Infrequent Flows. | Zengxie Ma, Yao Xin, Ying Chen, Zhuochen Fan, Tong Li, Ning Hu, Qing Liao, Yi Zhao, Feng Zhang |
| 2025 | SIGIR | CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language. | Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao |
| 2024 | AAAI | Conditional Backdoor Attack via JPEG Compression. | Qiuyu Duan, Zhongyun Hua, Qing Liao, Yushu Zhang, Leo Yu Zhang |
| 2024 | DAC | A Real-time Execution System of Multimodal Transformer through PIM-GPU Collaboration. | Shengyi Ji, Chubo Liu, Yan Ding, Qing Liao, Zhuo Tang |
| 2024 | ICASSP | Learning from Easy to Hard: Multi-Task Learning with Data Scheduling. | Zeyu Liu, Heyan Chai, Qing Liao |
| 2024 | ICDE | Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. | Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao |
| 2024 | ICDE | SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation. | Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao |
| 2024 | ICDE | MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. | Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao |
| 2024 | ICSE | ReposVul: A Repository-Level High-Quality Vulnerability Dataset. | Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao |
| 2024 | ICWSM | A Multi-modal Prompt Learning Framework for Early Detection of Fake News. | Weiqi Hu, Ye Wang, Yan Jia, Qing Liao, Bin Zhou |
| 2024 | ISSTA | Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. | Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao |
| 2024 | SP | Chronos: Finding Timeout Bugs in Practical Distributed Systems by Deep-Priority Fuzzing with Transient Delay. | Yuanliang Chen, Fuchen Ma, Yuanhang Zhou, Ming Gu, Qing Liao, Yu Jiang |
| 2024 | SDM | FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning. | Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao |
| 2023 | ACL | Improving Gradient Trade-offs between Tasks in Multi-task Text Classification. | Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao |
| 2023 | DASFAA | Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion. | Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao |
| 2023 | DASFAA | FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution. | Songyue Guo, Xu Yang, Jiyuan Feng, Ye Ding, Wei Wang, Yunqing Feng, Qing Liao |
| 2023 | EMNLP | Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis. | Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang, Qing Liao |
| 2023 | ICASSP | A Multi-Modal Approach For Context-Aware Network Traffic Classification. | Bo Pang, Yongquan Fu, Siyuan Ren, Siqi Shen, Ye Wang, Qing Liao, Yan Jia |
| 2023 | ICASSP | Minimising Distortion for GAN-Based Facial Attribute Manipulation. | Mingyu Shao, Li Lu, Ye Ding, Qing Liao |
| 2023 | ICONIP | Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion. | Xing Gong, Jianyang Qin, Ye Ding, Yan Jia, Qing Liao |
| 2023 | IJCNN | MocGCL: Molecular Graph Contrastive Learning via Negative Selection. | Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao |
| 2023 | IJCNN | FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework. | Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao |
| 2023 | ICSE | Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. | Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao |
| 2022 | EMNLP | Improving Multi-task Stance Detection with Multi-task Interaction Network. | Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao |
| 2022 | EMNLP | Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. | Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao |
| 2022 | ICASSP | Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network. | Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao |
| 2022 | IJCNN | Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs. | Yutao Huang, Ye Wang, Qing Liao, Yan Jia, Yongquan Fu |
| 2022 | ICSE | Multi-Intention-Aware Configuration Selection for Performance Tuning. | Haochen He, Zhouyang Jia, Shanshan Li, Yue Yu, Chenglong Zhou, Qing Liao, Ji Wang, Xiangke Liao |
| 2022 | ISPA | ASPGen-D: Automatically Generating Fine-grained Apparmor Policies for Docker. | Chenlin Huang, Keming Wang, Yun Li, Jiajian Li, Qing Liao |
| 2021 | CIKM | Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval. | Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang |
| 2021 | HPCC | A Coverage-Guided Fuzzing Framework for Trusted Execution Environments. | Chenlin Huang, Yusong Tan, Guoyun Duan, Zhiwen Chen, Boyang Zhang, Peiyao Deng, Qianxiang Zhang, Jianhua Sun, Hao Chen, Guoqing Xiao, Qing Liao |
| 2021 | ICA3PP | FedSP: Federated Speaker Verification with Personal Privacy Preservation. | Yangqian Wang, Yuanfeng Song, Di Jiang, Ye Ding, Xuan Wang, Yang Liu, Qing Liao |
| 2021 | ICCV | Pixel Difference Networks for Efficient Edge Detection. | Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikinen, Li Liu |
| 2021 | ICML | One Pass Late Fusion Multi-view Clustering. | Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu |
| 2021 | IJCNN | Spatio-Temporal Action Detector with Self-Attention. | Xurui Ma, Zhigang Luo, Xiang Zhang, Qing Liao, Xingyu Shen, Mengzhu Wang |
| 2021 | KSEM | Fine-Grained Unbalanced Interaction Network for Visual Question Answering. | Xinxin Liao, Mingyan Wu, Heyan Chai, Shuhan Qi, Xuan Wang, Qing Liao |
| 2020 | CIKM | Robust Normalized Squares Maximization for Unsupervised Domain Adaptation. | Wenju Zhang, Xiang Zhang, Qing Liao, Wenjing Yang, Long Lan, Zhigang Luo |
| 2020 | CLUSTER | Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio. | Haoliang Tan, Zhiyuan Zhang, Xiangyu Zou, Qing Liao, Wen Xia |
| 2020 | MMM | Enhanced Gaze Following via Object Detection and Human Pose Estimation. | Jian Guan, Liming Yin, Jianguo Sun, Shuhan Qi, Xuan Wang, Qing Liao |
| 2019 | HPCC | Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing. | Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao |
| 2019 | PRICAI | Bi-directional Features Reuse Network for Salient Object Detection. | Fengwei Jia, Xuan Wang, Jian Guan, Shuhan Qi, Qing Liao, Huale Li |
| 2019 | VTC | Deep Neural Network Based Cell Sleeping Control and Beamforming Optimization in Cloud-RAN. | Gehui Du, Luhan Wang, Qing Liao, Haoxiang Hu |
| 2018 | APSEC | NotOnlyLog: Mining Patch-Log Associations from Software Evolution History to Enhance Failure Diagnosis Capability. | Shuqi Chi, Shanshan Li, Yong Guo, Wei Dong, Zhouyang Jia, Haochen He, Qing Liao |
| 2018 | QRS | MisconfDoctor: Diagnosing Misconfiguration via Log-Based Configuration Testing. | Teng Wang, Xiaodong Liu, Shanshan Li, Xiangke Liao, Wang Li, Qing Liao |
| 2018 | SP | File Fragment Classification Using Grayscale Image Conversion and Deep Learning in Digital Forensics. | Qian Chen, Qing Liao, Zoe Lin Jiang, Junbin Fang, Siu-Ming Yiu, Guikai Xi, Rong Li, Zhengzhong Yi, Xuan Wang, Lucas C. K. Hui, Dong Liu, En Zhang |
| 2016 | ICASSP | Gauss-Seidel based non-negative matrix factorization for gene expression clustering. | Qing Liao, Naiyang Guan, Qian Zhang |
| 2016 | PAKDD | Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion. | Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang |
| 2015 | ICDM | Logdet Divergence Based Sparse Non-Negative Matrix Factorization for Stable Representation. | Qing Liao, Naiyang Guan, Qian Zhang |
| 2015 | ICMLA | Local Coordinate Projective Non-negative Matrix Factorization. | Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang |
| 2015 | VTC | A QoE-Driven Cross-Layer Resource Allocation Scheme for High Traffic Services over Open Wireless Network Downlink. | Liya Shan, Qing Liao, Qinyue Hu, Shantao Jiang, Jingling Zhao |
| 2015 | SMC | Robust Local Coordinate Non-negative Matrix Factorization via Maximum Correntropy Criteria. | Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang |
| 2013 | GLOBECOM | Analyzing the influential people in Sina Weibo dataset. | Qing Liao, Wei Wang, Yi Han, Qian Zhang |
| 2012 | APSCC | A Middleware for Cross-Platform and Context-Aware of Mobile Terminals. | Lin Ma, Qing Liao |