| 2026 | AAAI | OPERA: A Reinforcement Learning-Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval. | Yu Liu, Yanbing Liu, Fangfang Yuan, Cong Cao, Youbang Sun, Kun Peng, Weizhuo Chen, Jianjun Li, Zhiyuan Ma |
| 2026 | AAAI | Beyond Accuracy: A Cognitive Load Framework for Mapping the Capability Boundaries of Tool-use Agents. | Qihao Wang, Yue Hu, Mingzhe Lu, Jiayue Wu, Yanbing Liu, Yuanmin Tang |
| 2026 | ACL | Two Streams, One Sarcasm: Orthogonal Expert Tuning for Holistic Multimodal Sarcasm Understanding. | Diandian Guo, Cong Cao, Fangfang Yuan, Pin Xu, Cheng Hu, Zhicheng Zhang, Yu Liu, Yanbing Liu |
| 2026 | ACL | Conformal Event Prediction with Temporal Knowledge Graph. | Cheng Hu, Cong Cao, Fangfang Yuan, Diandian Guo, Pin Xu, Yu Liu, Yanbing Liu |
| 2026 | ACL | Synergizing Stylometrics with Semantics: Dual-Path Framework for LLM Detection and Attribution. | Xingyu Lu, Yumeng Ma, Xiang Zhou, Shengli Gan, Guiying Deng, Yang Wen, Yanbing Liu |
| 2026 | ACL | LitVISTA: A Benchmark for Narrative Orchestration in Literary Text. | Mingzhe Lu, Yiwen Wang, Yanbing Liu, Qi You, Chong Liu, Ruize Qin, Haoyu Dong, Wenyu Zhang, JiaRui Zhang, Yue Hu, Yunpeng Li |
| 2026 | DASFAA | Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval. | Yu Liu, Kun Peng, Wenxiao Zhang, Fangfang Yuan, Cong Cao, Wenxuan Lu, Yanbing Liu |
| 2026 | PAKDD | S | Mingzhe Lu, Yanbing Liu, Qihao Wang, Jiarui Zhang, Jiayue Wu, Yue Hu, Yunpeng Li, Yangyan Xu |
| 2026 | WWW | MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues. | Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu |
| 2026 | WWW | STIndex: A Context-Aware Multi-Dimensional Spatiotemporal Information Extraction System. | Wenxiao Zhang, Yu Liu, Qiang Sun, Yihao Ding, Sirui Li, Yanbing Liu, Jin B. Hong, Wei Liu |
| 2025 | CIKM | Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. | Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu |
| 2025 | COLING | Multi-View Incongruity Learning for Multimodal Sarcasm Detection. | Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu |
| 2025 | EMNLP | Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. | Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu |
| 2025 | EMNLP | Can We Steer Reasoning Direction by Thinking Intervention? | Xingsheng Zhang, Luxi Xing, Chen Zhang, Yanbing Liu, Yifan Deng, Yunpeng Li, Yue Hu, Chenxu Niu |
| 2025 | ICASSP | ReTD: Reconstruction-Based Traceability Detection for Generated Images. | Weizhuo Chen, Fangfang Yuan, Cong Cao, Kun Peng, Dakui Wang, Yanbing Liu |
| 2025 | IJCAI | T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. | Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu |
| 2025 | IMC | An In-Depth Look into 5G ON-OFF Loops in the Wild. | Yanbing Liu, Jingqi Huang, Sonia Fahmy, Chunyi Peng |
| 2025 | KDD | FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation. | Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu |
| 2025 | PRICAI | PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use. | Qihao Wang, Mingzhe Lu, Jiayue Wu, Yue Hu, Yanbing Liu |
| 2025 | PRICAI | Assessing Nuanced Personality Inducing in Language Models via Vignette Tests. | Xingsheng Zhang, Luxi Xing, Chen Zhang, Yanbing Liu, Yifan Deng, Yue Hu, Zhengxu Hou |
| 2025 | SIGIR | ULP: Unlabeled Location Prediction from Text. | Xi He, Yilin Liu, Yijie Sun, Xin Xing, Xingyu Lu, Yanbing Liu |
| 2024 | ICCS | Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling. | Yi Gao, Fangfang Yuan, Jinglin Yang, Dakui Wang, Cong Cao, Yanbing Liu |
| 2024 | ICCS | Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment. | Yangyan Xu, Cong Cao, Fangfang Yuan, Rongxin Mi, Dakui Wang, Yanbing Liu, Majing Su |
| 2024 | ICTAI | Multi-Level Graph Convolutional Network for Document Information Extraction. | Liang Zhang, Peng Guo, Lin Dong, Fangfang Yuan, Dakui Wang, Cong Cao, Yanbing Liu |
| 2024 | IWQoS | The Sky is Not the Limit: Unveiling Operational 5G Potentials in the Sky. | Yanbing Liu, Jingqi Huang, Chunyi Peng |
| 2024 | SMC | Efficient One-Shot Pruning of Large Language Models with Low-Rank Approximation. | Yangyan Xu, Cong Cao, Fangfang Yuan, Rongxin Mi, Nannan Sun, Dakui Wang, Yanbing Liu |
| 2024 | SMC | Enhancing GPT-3.5 for Knowledge-Based VQA with In-Context Prompt Learning and Image Captioning. | Yuling Yang, Cong Cao, Fangfang Yuan, Shuai Zeng, Dakui Wang, Yanbing Liu |
| 2024 | WSDM | RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. | Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu |
| 2023 | CSCWD | Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning. | Yi Gao, Fangfang Yuan, Cong Cao, Majing Su, Dakui Wang, Yanbing Liu |
| 2023 | CSCWD | Curvature-Driven Knowledge Graph Embedding for Link Prediction. | Diandian Guo, Majing Su, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Yanbing Liu, Jianhui Fu |
| 2023 | CSCWD | MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference. | Yangyan Xu, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Majing Su, Dakui Wang, Yanbing Liu |
| 2023 | EMNLP | Mulan: A Multi-Level Alignment Model for Video Question Answering. | Yu Fu, Cong Cao, Yuling Yang, Yuhai Lu, Fangfang Yuan, Dakui Wang, Yanbing Liu |
| 2023 | ICANN | Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning. | Zhiping Li, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu |
| 2023 | ICCS | Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning. | Zhiping Li, Fangfang Yuan, Cong Cao, Dakui Wang, Jiali Feng, Baoke Li, Yanbing Liu |
| 2023 | ICCS | A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference. | Yangyan Xu, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu |
| 2023 | ICONIP | EDDVPL: A Web Attribute Extraction Method with Prompt Learning. | Yuling Yang, Jiali Feng, Baoke Li, Fangfang Yuan, Cong Cao, Yanbing Liu |
| 2023 | INFOCOM | A Close Look at 5G in the Wild: Unrealized Potentials and Implications. | Yanbing Liu, Chunyi Peng |
| 2023 | ISCC | RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions. | Yuhai Lu, Xiaolin Wang, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Yanbing Liu |
| 2023 | MOBICOM | CA++: Enhancing Carrier Aggregation Beyond 5G. | Qianru Li, Zhehui Zhang, Yanbing Liu, Zhaowei Tan, Chunyi Peng, Songwu Lu |
| 2023 | SMC | Robust Malicious Domain Detection Against Adversarial Attacks on Heterogeneous Graph. | Yi Gao, Zhiping Li, Fangfang Yuan, Xiaoliang Zhang, Dakui Wang, Cong Cao, Yanbing Liu |
| 2022 | ICANN | Heterogeneous Graph Attention Network for Malicious Domain Detection. | Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan |
| 2022 | ICONIP | DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer. | Jiali Feng, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Zhiping Li, Yanbing Liu, Jianlong Tan |
| 2022 | ISPA | EPGraph: An Efficient Graph Computing Model in Persistent Memory System. | Baoke Li, Cong Cao, Fangfang Yuan, Yanbing Liu, Baohui Li, Binxing Fang |
| 2021 | ACL | Deep Differential Amplifier for Extractive Summarization. | Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang |
| 2021 | ICCS | Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. | Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma |
| 2021 | ICONIP | Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. | Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan |
| 2021 | ISPA | D | Baoke Li, Cong Cao, Yuhai Lu, Yanbing Liu, Baohui Li, Binxing Fang, Jianhui Fu |
| 2021 | KSEM | Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. | Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu |
| 2020 | AAAI | Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. | Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu |
| 2020 | CIKM | DistilSum: : Distilling the Knowledge for Extractive Summarization. | Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan |
| 2020 | ICCS | Joint Entity Linking for Web Tables with Hybrid Semantic Matching. | Jie Xie, Yuhai Lu, Cong Cao, Zhenzhen Li, Yangyang Guan, Yanbing Liu |
| 2020 | IJCNN | Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder. | Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin |
| 2020 | IJCNN | Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization. | Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin |
| 2020 | IJCNN | A Hybrid Paper Recommendation Method by Using Heterogeneous Graph and Metadata. | Hui Shi, Wei Ma, Xiaoliang Zhang, Junyan Jiang, Yanbing Liu, Shujuan Chen |
| 2020 | ICTAI | Data Augmentation for Insider Threat Detection with GAN. | Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan |
| 2020 | WWW | High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. | Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang |
| 2019 | ICCS | 2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning. | Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu |
| 2019 | IWCMC | Combining Deep Neural Network with SVM to Identify Used in IOT. | Nguyen Nang An, Nguyen Quang Thanh, Yanbing Liu, Fei Wu |
| 2019 | KSEM | UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation. | Yuchen Zhou, Yanmin Shang, Yaman Cao, Yanbing Liu, Jianlong Tan |
| 2019 | WWW | Joint Entity Linking with Deep Reinforcement Learning. | Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu |
| 2018 | ICANN | Hierarchical Attention Networks for User Profile Inference in Social Media Systems. | Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo |
| 2018 | ICANN | Reinforcement Learning for Joint Extraction of Entities and Relations. | Wenpeng Liu, Yanan Cao, Yanbing Liu, Yue Hu, Jianlong Tan |
| 2018 | ICANN | Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy. | Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan |
| 2018 | ICCS | An Adversarial Training Framework for Relation Classification. | Wenpeng Liu, Yanan Cao, Cong Cao, Yanbing Liu, Yue Hu, Li Guo |
| 2018 | ICCS | Column Concept Determination for Chinese Web Tables via Convolutional Neural Network. | Jie Xie, Cong Cao, Yanbing Liu, Yanan Cao, Baoke Li, Jianlong Tan |
| 2018 | ICCS | Adversarial Reinforcement Learning for Chinese Text Summarization. | Hao Xu, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo |
| 2018 | ICCS | Insider Threat Detection with Deep Neural Network. | Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang |
| 2018 | ICTAI | Sequence Generative Adversarial Network for Long Text Summarization. | Hao Xu, Yanan Cao, Ruipeng Jia, Yanbing Liu, Jianlong Tan |
| 2018 | KSEM | Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval. | Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang |
| 2018 | KSEM | A Sequence Transformation Model for Chinese Named Entity Recognition. | Qingyue Wang, Yanjing Song, Hao Liu, Yanan Cao, Yanbing Liu, Li Guo |
| 2018 | VTC | BESS: BDP Estimation Based Slow Start Algorithm for MPTCP in mmWave-LTE Networks. | Yanbing Liu, Xiaowei Qin, Ting Zhu, Xiaohui Chen, Guo Wei |
| 2017 | AICCSA | Multiple Pattern Graph Correlations for Efficient Graph Pattern Matching. | Jing Yu, Xiaomei Liu, Yanbing Liu, Yue Hu |
| 2017 | ICONIP | Inferring Social Network User's Interest Based on Convolutional Neural Network. | Yanan Cao, Shi Wang, Xiaoxue Li, Cong Cao, Yanbing Liu, Jianlong Tan |
| 2017 | KSEM | Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network. | Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo |
| 2015 | ICA3PP | VSEP: A Distributed Algorithm for Graph Edge Partitioning. | Yu Zhang, Yanbing Liu, Jing Yu, Ping Liu, Li Guo |
| 2014 | APWEB | Delta-K 2-tree for Compact Representation of Web Graphs. | Yu Zhang, Gang Xiong, Yanbing Liu, Mengya Liu, Ping Liu, Li Guo |
| 2014 | ICDM | Latent Factor SVM for Text Categorization. | Xiaofei Zhou, Li Guo, Ping Liu, Yanbing Liu |
| 2013 | CSCWD | Constructing federate collaboration ontology by UML profiles. | Yanbing Liu, Hongbo Sun, Tianyuan Xiao, Wenhui Fan |
| 2013 | GLOBECOM | Multi-priority scheduling using network calculus: Model and analysis. | Jun Huang, Zi Xiong, Yanbing Liu, Qiang Duan, Yunlong He, Juan Lv, Jianyu Wang |
| 2012 | CCS | ClusterFA: a memory-efficient DFA structure for network intrusion detection. | Lei Jiang, Jianlong Tan, Yanbing Liu |
| 2012 | GLOBECOM | Service provisioning in virtualization-based Cloud computing: Modeling and optimization. | Jun Huang, Yanbing Liu, Qiang Duan |
| 2011 | INFOCOM | An efficient regular expressions compression algorithm from a new perspective. | Tingwen Liu, Yifu Yang, Yanbing Liu, Yong Sun, Li Guo |
| 2011 | ISPA | Accelerating DFA Construction by Hierarchical Merging. | Yanbing Liu, Li Guo, Muyi Guo, Ping Liu |
| 2008 | NPC | A Spatial Renewal Video Traffic Model Based on Buffering Metrics. | Peng Lin, WenLong Luo, Yanbing Liu |
| 2008 | NPC | A Novel Genetic Algorithm and Its Application in TSP. | Yanbing Liu, Jun Huang |
| 2008 | NPC | An MAODV-Based Energy Saving Multicast Routing Algorithm. | Guofeng Zhao, Wei Yang, Hong Tang, Yanbing Liu |
| 2007 | ICNC | The State of the Art in Grid Scheduling Systems. | Yi Jian, Yanbing Liu |
| 2006 | ADMA | Pattern Recurring in Three-Dimensional Graph Based on Data Mining. | Yanbing Liu, Menghao Wang |
| 2005 | ADMA | Routing Attribute Data Mining Based on Rough Set Theory. | Yanbing Liu, Hong Tang, Menghao Wang, Shixin Sun |
| 2005 | SPIRE | A Partition-Based Efficient Algorithm for Large Scale Multiple-Strings Matching. | Ping Liu, Yanbing Liu, Jianlong Tan |