An efficient approach to representing and mining knowledge from Qing court medical records. - Weimin Wang 002; Jingchun Zhang; Cong Cao 001; Tao Hou; Yue Liu; Keji Chen (Frontiers Comput. Sci. China, 2011)

Mining Association Rules on Qing Court Medical Records: Semantic Abstraction and Standardization. - Cong Cao 001; Weimin Wang 002; Cungen Cao 001; Liangjun Zang (CIT, 2012)

Towards Collecting Commonsense Knowledge with Hint Questions. - Liangjun Zang; Cong Cao 001; Cungen Cao 001 (SKG, 2012)

A Survey of Commonsense Knowledge Acquisition. - Liangjun Zang; Cong Cao 001; Yanan Cao 001; Yuming Wu; Cungen Cao 001 (J. Comput. Sci. Technol., 2013)

A Chinese Framework of Semantic Taxonomy and Description: Preliminary Experimental Evaluation Using Web Information Extraction. - Liangjun Zang; Weimin Wang 002; Ya Wang; Fang Fang 009; Cong Cao 001; Xiaolong Wu; Qi Zhou; Ye Lu; Tingyu Li; Cungen Cao 001 (KSEM, 2015)

Inferring Social Network User's Interest Based on Convolutional Neural Network. - Yanan Cao 001; Shi Wang 002; Xiaoxue Li; Cong Cao 001; Yanbing Liu; Jianlong Tan (ICONIP (5), 2017)

An Adversarial Training Framework for Relation Classification. - Wenpeng Liu; Yanan Cao 001; Cong Cao 001; Yanbing Liu; Yue Hu 002; Li Guo 001 (ICCS (2), 2018)

Column Concept Determination for Chinese Web Tables via Convolutional Neural Network. - Jie Xie; Cong Cao 001; Yanbing Liu; Yanan Cao 001; Baoke Li; Jianlong Tan (ICCS (3), 2018)

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. - Ruipeng Jia; Yanan Cao 001; Hengzhu Tang; Fang Fang 009; Cong Cao 001; Shi Wang 002 (EMNLP (1), 2020)

Joint Entity Linking for Web Tables with Hybrid Semantic Matching. - Jie Xie; Yuhai Lu; Cong Cao 001; Zhenzhen Li; Yangyang Guan; Yanbing Liu (ICCS (2), 2020)

BV-CEI: A Compact Implementation of Interval Query Indexing Algorithm. - Yuhai Lu; Chunyan Zhang; Cong Cao 001; Yanbing Liu; Jianlong Tan (BigDataSE, 2021)

HSAN: A Hierarchical Self-Attention Network for Multi-Turn Dialogue Generation. - Yawei Kong; Lu Zhang; Can Ma; Cong Cao 001 (ICASSP, 2021)

Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. - Lu Zhang; Yawei Kong; Fang Fang 009; Cong Cao 001; Yanan Cao 001; Yanbing Liu; Can Ma (ICCS (2), 2021)

D2Graph: An Efficient and Unified Out-of-Core Graph Computing Model. - Baoke Li; Cong Cao 001; Yuhai Lu; Yanbing Liu; Baohui Li; Binxing Fang; Jianhui Fu (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. - Yubao Tang; Zhezhou Li; Cong Cao 001; Fang Fang 009; Yanan Cao 001; Yanbing Liu; Jianhui Fu (KSEM, 2021)

Heterogeneous Graph Attention Network for Malicious Domain Detection. - Zhiping Li; Fangfang Yuan; Yanbing Liu; Cong Cao 001; Fang Fang 009; Jianlong Tan (ICANN (2), 2022)

DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer. - Jiali Feng; Cong Cao 001; Fangfang Yuan; Xiaoliang Zhang; Zhiping Li; Yanbing Liu; Jianlong Tan (ICONIP (1), 2022)

EPGraph: An Efficient Graph Computing Model in Persistent Memory System. - Baoke Li; Cong Cao 001; Fangfang Yuan; Yanbing Liu; Baohui Li; Binxing Fang (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Malicious Domain Detection with Heterogeneous Graph Propagation Network. - Cheng Hu; Fangfang Yuan; Yanbing Liu; Cong Cao 001; Chunyan Zhang; Jianlong Tan (WASA (1), 2022)

Confident Slot Iterative Learning for Multi-Domain Dialogue State Tracking. - Qingyue Wang; Yanan Cao 001; Piji Li; Yanhe Fu; Zheng Lin 001; Cong Cao 001; Shi Wang 002; Li Guo 001 (CogSci, 2023)

NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems. - Baoke Li; Cong Cao 001; Fangfang Yuan; Yuling Yang; Majing Su; Yanbing Liu; Jianhui Fu (CollaborateCom (2), 2023)

Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning. - Yi Gao; Fangfang Yuan; Cong Cao 001; Majing Su; Dakui Wang; Yanbing Liu (CSCWD, 2023)

Curvature-Driven Knowledge Graph Embedding for Link Prediction. - Diandian Guo; Majing Su; Cong Cao 001; Fangfang Yuan; Xiaoliang Zhang; Yanbing Liu; Jianhui Fu (CSCWD, 2023)

MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference. - Yangyan Xu; Fangfang Yuan; Cong Cao 001; Xiaoliang Zhang; Majing Su; Dakui Wang; Yanbing Liu (CSCWD, 2023)

Mulan: A Multi-Level Alignment Model for Video Question Answering. - Yu Fu; Cong Cao 001; Yuling Yang; Yuhai Lu; Fangfang Yuan; Dakui Wang; Yanbing Liu (EMNLP (Findings), 2023)

Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning. - Zhiping Li; Fangfang Yuan; Cong Cao 001; Majing Su; Yuhai Lu; Yanbing Liu (ICANN (3), 2023)

Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning. - Zhiping Li; Fangfang Yuan; Cong Cao 001; Dakui Wang; Jiali Feng; Baoke Li; Yanbing Liu (ICCS (1), 2023)

A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference. - Yangyan Xu; Fangfang Yuan; Cong Cao 001; Majing Su; Yuhai Lu; Yanbing Liu (ICCS (1), 2023)

EDDVPL: A Web Attribute Extraction Method with Prompt Learning. - Yuling Yang; Jiali Feng; Baoke Li; Fangfang Yuan; Cong Cao 001; Yanbing Liu (ICONIP (14), 2023)

RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions. - Yuhai Lu; Xiaolin Wang; Fangfang Yuan; Cong Cao 001; Xiaoliang Zhang; Yanbing Liu (ISCC, 2023)

A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction. - Yanhe Fu; Yi Liu 067; Yanan Cao 001; Yubing Ren; Qingyue Wang; Fang Fang 009; Cong Cao 001 (NLPCC (2), 2023)

Robust Malicious Domain Detection Against Adversarial Attacks on Heterogeneous Graph. - Yi Gao; Zhiping Li; Fangfang Yuan; Xiaoliang Zhang; Dakui Wang; Cong Cao 001; Yanbing Liu (SMC, 2023)

Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling. - Yi Gao; Fangfang Yuan; Jinglin Yang; Dakui Wang; Cong Cao 001; Yanbing Liu (ICCS (2), 2024)

Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment. - Yangyan Xu; Cong Cao 001; Fangfang Yuan; Rongxin Mi; Dakui Wang; Yanbing Liu; Majing Su (ICCS (1), 2024)

Multi-Level Graph Convolutional Network for Document Information Extraction. - Liang Zhang; Peng Guo; Lin Dong; Fangfang Yuan; Dakui Wang; Cong Cao 001; Yanbing Liu (ICTAI, 2024)

Efficient One-Shot Pruning of Large Language Models with Low-Rank Approximation. - Yangyan Xu; Cong Cao 001; Fangfang Yuan; Rongxin Mi; Nannan Sun; Dakui Wang; Yanbing Liu (SMC, 2024)

Enhancing GPT-3.5 for Knowledge-Based VQA with In-Context Prompt Learning and Image Captioning. - Yuling Yang; Cong Cao 001; Fangfang Yuan; Shuai Zeng; Dakui Wang; Yanbing Liu (SMC, 2024)

Can Multimodal Large Language Model Think Analogically? - Diandian Guo; Cong Cao 001; Fangfang Yuan; Dakui Wang; Wei Ma; Yanbing Liu; Jianhui Fu (CoRR, 2024)

Multi-View Incongruity Learning for Multimodal Sarcasm Detection. - Diandian Guo; Cong Cao 001; Fangfang Yuan; Yanbing Liu; Guangjie Zeng; Xiaoyan Yu; Hao Peng 001; Philip S. Yu (COLING, 2025)

ReTD: Reconstruction-Based Traceability Detection for Generated Images. - Weizhuo Chen; Fangfang Yuan; Cong Cao 001; Kun Peng; Dakui Wang; Yanbing Liu (ICASSP, 2025)

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. - Kun Peng; Chaodong Tong; Cong Cao 001; Hao Peng 001; Qian Li 033; Guanlin Wu; Lei Jiang 003; Yanbing Liu; Philip S. Yu (CoRR, 2025)

Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. - Kun Peng; Cong Cao 001; Hao Peng 001; Zhifeng Hao; Lei Jiang 003; Kongjing Gu; Yanbing Liu; Philip S. Yu (CoRR, 2025)