Combining ICS semantic factor into concept similarity evaluating based on RFCA. - Chongyang Shi 001; Zhendong Niu (iiWAS, 2009)

A novel similarity evaluating model based on RFCA and ICS. - Chongyang Shi 001; Zhendong Niu (ICDIM, 2010)

Lattice-Context Based Digital Paper Search. - Chongyang Shi 001; Zhendong Niu; Xiyi Cheng (SEKE, 2010)

Considering the Relationship between RST and FCA. - Chongyang Shi 001; Zhendong Niu; Tao Wang (WKDD, 2010)

Representation and Verification of Attribute Knowledge. - Chunxia Zhang 001; Zhendong Niu; Chongyang Shi 001; Mengdi Tan; Hongping Fu; Sheng Xu (KSEM, 2013)

An agent-based linked data integration system. - Xuejin Li; Zhendong Niu; Chongyang Shi 001 (ICADIWT, 2014)

Automatic construction of domain-specific sentiment lexicon based on constrained label propagation. - Sheng Huang; Zhendong Niu; Chongyang Shi 001 (Knowl. Based Syst., 2014)

A hybrid approach of topic model and matrix factorization based on two-step recommendation framework. - Xiangyu Zhao 004; Zhendong Niu; Wei Chen 042; Chongyang Shi 001; Ke Niu 002; Donglei Liu (J. Intell. Inf. Syst., 2015)

基于分类模型的查询扩展方法 (Query Expansion Based on Classification Model). - Weiyin Li; Yulong Shi; Jie Chen 061; Chongyang Shi 001 (计算机科学, 2015)

Case-Based Classification on Hierarchical Structure of Formal Concept Analysis. - Qi Zhang 020; Chongyang Shi 001; Ping Sun; Zhendong Niu (ECAI, 2016)

Similarity model based on CBR and FCA. - Chongyang Shi 001; Linjing Lai; Jing Fan; Yu Bai (SNPD, 2016)

Sentiment Analysis Model on Weather Related Tweets with Deep Neural Network. - Jun Qian; Zhendong Niu; Chongyang Shi 001 (ICMLC, 2018)

Concept coupling learning for improving concept lattice-based document retrieval. - Shufeng Hao; Chongyang Shi 001; Zhendong Niu; Longbing Cao (Eng. Appl. Artif. Intell., 2018)

基于细粒度学习情感本体的学习效果评估方法 - - 以算法设计与分析课程为例 (Learning Effect Evaluation Method Based on Fine-granularity Learning Emotion Ontology - - Taking Algorithm Design and Analysis Course as Example). - Chunxia Zhang 001; Zhendong Niu; Chongyang Shi 001; Jianyun Shang (计算机科学, 2018)

An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification. - Qingxuan Zhang; Chongyang Shi 001 (ACML, 2019)

Deep semantic-Based Feature Envy Identification. - Xueliang Guo; Chongyang Shi 001; He Jiang 001 (Internetware, 2019)

Modeling positive and negative feedback for improving document retrieval. - Shufeng Hao; Chongyang Shi 001; Zhendong Niu; Longbing Cao (Expert Syst. Appl., 2019)

HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering. - Qi Zhang 020; Chongyang Shi 001; Zhendong Niu; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2019)

Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling. - Xu Cao; Deyi Xiong; Chongyang Shi 001; Chao Wang; Yao Meng; Changjian Hu (COLING, 2020)

Exploiting BERT with Global-Local Context and Label Dependency for Aspect Term Extraction. - Qingxuan Zhang; Chongyang Shi 001 (DSAA, 2020)

Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment Analysis. - Guangyi Hu; Chongyang Shi 001; Shufeng Hao; Yu Bai (SIGIR, 2020)

Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation. - Xueliang Guo; Chongyang Shi 001; Chuanming Liu (WWW, 2020)

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. - Qi Zhang 020; Longbing Cao; Chongyang Shi 001; Liang Hu 004 (AAAI, 2021)

Emotion Cause Extraction by Combining Intra-clause Sentiment-enhanced Attention and Inter-clause Consistency Interaction. - Wenhui Yu; Chongyang Shi 001 (ICCCS, 2021)

Exploiting Multi-aspect Interactions for God Class Detection with Dataset Fine-tuning. - Shaojun Ren; Chongyang Shi 001; Shuxin Zhao (COMPSAC, 2021)

Local and Global Feature Based Explainable Feature Envy Detection. - Xin Yin; Chongyang Shi 001; Shuxin Zhao (COMPSAC, 2021)

DCAN: Deep Co-Attention Network by Modeling User Preference and News Lifecycle for News Recommendation. - Lingkang Meng; Chongyang Shi 001; Shufeng Hao; Xiangrui Su (DASFAA (3), 2021)

Rethinking the Information Inside Documents for Sentiment Classification. - Xinyu Jiang; Chongyang Shi 001; Shufeng Hao; Dequan Yang; Chaoqun Feng (KSEM, 2021)

Rumor Detection with Field of Linear and Non-Linear Propagation. - An Lao; Chongyang Shi 001; Yayi Yang (WWW, 2021)

Context-aware item attraction model for session-based recommendation. - Chaoqun Feng; Chongyang Shi 001; Chuanming Liu; Qi Zhang 020; Shufeng Hao; Xinyu Jiang (Expert Syst. Appl., 2021)

Learning deep relevance couplings for ad-hoc document retrieval. - Shufeng Hao; Chongyang Shi 001; Longbing Cao; Zhendong Niu; Ping Guo 002 (Expert Syst. Appl., 2021)

SPBC: A self-paced learning model for bug classification from historical repositories of open-source software. - Hufsa Mohsin; Chongyang Shi 001 (Expert Syst. Appl., 2021)

Hierarchical Social Similarity-guided Model with Dual-mode Attention for session-based recommendation. - Chaoqun Feng; Chongyang Shi 001; Shufeng Hao; Qi Zhang 020; Xinyu Jiang; Daohua Yu (Knowl. Based Syst., 2021)

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. - Qi Zhang 020; Liang Hu 004; Longbing Cao; Chongyang Shi 001; Shoujin Wang; Dora D. Liu (IJCAI, 2022)

Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis. - Xinyu Jiang; Qi Zhang 020; Chongyang Shi 001 (IJCNN, 2022)

A News Recommendation Model Based on Time Awareness and News Relevance. - Shaojun Ren; Chongyang Shi 001 (IRI, 2022)

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. - Xinyu Jiang; Qi Zhang 020; Chongyang Shi 001; Kaiying Jiang; Liang Hu 004; Shoujin Wang (ECML/PKDD (2), 2022)

Correlation Feature Mining Model Based on Dual Attention for Feature Envy Detection. - Shuxin Zhao; Chongyang Shi 001; Shaojun Ren; Hufsa Mohsin (SEKE, 2022)

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. - Qi Zhang 020; Liang Hu 004; Chongyang Shi 001; Ke Liu; Longbing Cao (CoRR, 2022)

SPAN: A self-paced association augmentation and node embedding-based model for software bug classification and assignment. - Hufsa Mohsin; Chongyang Shi 001; Shufeng Hao; He Jiang 001 (Knowl. Based Syst., 2022)

Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings. - Qi Zhang 020; Longbing Cao; Chongyang Shi 001; Zhendong Niu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Liang Hu 004; Ivor W. Tsang (EMNLP (Findings), 2023)

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. - Chongyang Shi 001; Yijun Yin; Qi Zhang 020; Liang Xiao 010; Usman Naseem; Shoujin Wang; Liang Hu 004 (EMNLP (Findings), 2023)

Syntax Tree Constrained Graph Network for Visual Question Answering. - Xiangrui Su; Qi Zhang 020; Chongyang Shi 001; Jiachang Liu 004; Liang Hu 004 (ICONIP (5), 2023)

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 004; Shoujin Wang; Usman Naseem (CoRR, 2023)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Ivor W. Tsang (CoRR, 2023)

Enhanced Semantic Representation Learning for Sarcasm Detection by Integrating Context-Aware Attention and Fusion Network. - Shufeng Hao; Jikun Yao; Chongyang Shi 001; Yu Zhou 019; Shuang Xu; Dengao Li; Yinghan Cheng (Entropy, 2023)

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. - An Lao; Qi Zhang 020; Chongyang Shi 001; Longbing Cao; Kun Yi 001; Liang Hu 004; Duoqian Miao 001 (AAAI, 2024)

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. - Jinzhi Shan; Qi Zhang 020; Chongyang Shi 001; Mengting Gui; Shoujin Wang; Usman Naseem (CIKM, 2024)

Related Work Generation with Variational Sequential Planning. - Luyao Yu; Shufeng Hao; An Lao; Chongyang Shi 001; Zheng Yang (ICONIP (9), 2024)

Reinforced Subject-Aware Graph Neural Network for Related Work Generation. - Luyao Yu; Qi Zhang 020; Chongyang Shi 001; An Lao; Liang Xiao 010 (KSEM (1), 2024)

MSynFD: Multi-hop Syntax Aware Fake News Detection. - Liang Xiao 010; Qi Zhang 020; Chongyang Shi 001; Shoujin Wang; Usman Naseem; Liang Hu 004 (WWW, 2024)

A Comprehensive Study of Open-Source Printed Circuit Board (PCB) Design Software Bugs. - Xu Zhao; He Jiang 001; Shikai Guo; Dong Liu 025; Hui Liu 003; Chongyang Shi 001; Xiaochen Li (IEEE Trans. Instrum. Meas., 2024)

Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 008; Shoujin Wang; Usman Naseem (IEEE Trans. Neural Networks Learn. Syst., 2024)

CoSD: Collaborative stance detection with contrastive heterogeneous topic graph learning. - Yinghan Cheng; Qi Zhang 020; Chongyang Shi 001; Liang Xiao 010; Shufeng Hao; Liang Hu 004 (Knowl. Based Syst., 2025)

Retrieval-Augmented Generation by Evidence Retroactivity in LLMs. - Liang Xiao; Wen Dai; Shuai Chen; Bin Qin; Chongyang Shi 001; Haopeng Jing; Tianyu Guo 010 (CoRR, 2025)

Deep Robust Reversible Watermarking. - Jiale Chen; Wei Wang 077; Chongyang Shi 001; Li Dong 006; Yuanman Li; Xiping Hu (CoRR, 2025)

Toward Understanding FPGA Synthesis Tool Bugs. - Yi Zhang; He Jiang 001; Shikai Guo; Xiaochen Li; Hui Liu 003; Chongyang Shi 001 (ACM Trans. Softw. Eng. Methodol., 2025)