The Design of a Workflow Recommendation System for Workflow as a Service in the Cloud. - Dingxian Wang; Xiao Liu 004; Zheng He; Xiaoliang Fan (Business Process Management Workshops, 2013)

A DT-SVM Strategy for Stock Futures Prediction with Big Data. - Dingxian Wang; Xiao Liu 004; Mengdi Wang (CSE, 2013)

A Novel Deadline Assignment Strategy for a Large Batch of Parallel Tasks with Soft Deadlines in the Cloud. - Xiao Liu 004; Dingxian Wang; Dong Yuan 001; Yun Yang 001 (HPCC/EUC, 2013)

Semantic Entity Identification in Large Scale Data via Statistical Features and DT-SVM. - Dingxian Wang; Xiao Liu 004; Hangzai Luo; Jianping Fan 001 (WISE (1), 2013)

Throughput based temporal verification for monitoring large batch of parallel processes. - Xiao Liu 004; Dingxian Wang; Dong Yuan 001; Futian Wang; Yun Yang 001 (ICSSP, 2014)

A novel framework for semantic entity identification and relationship integration in large scale text data. - Dingxian Wang; Xiao Liu 004; Hangzai Luo; Jianping Fan 001 (Future Gener. Comput. Syst., 2016)

Workflow temporal verification for monitoring parallel business processes. - Xiao Liu 004; Dingxian Wang; Dong Yuan 001; Futian Wang; Yun Yang 001 (J. Softw. Evol. Process., 2016)

BiRank: Towards Ranking on Bipartite Graphs. - Xiangnan He 001; Ming Gao 001; Min-Yen Kan; Dingxian Wang (IEEE Trans. Knowl. Data Eng., 2017)

Explainable Reasoning over Knowledge Graphs for Recommendation. - Xiang Wang 010; Dingxian Wang; Canran Xu; Xiangnan He 001; Yixin Cao 002; Tat-Seng Chua (AAAI, 2019)

Click-Through Rate Prediction with Multi-Modal Hypergraphs. - Li He; Hongxu Chen 002; Dingxian Wang; Shoaib Jameel; Philip S. Yu; Guandong Xu (CIKM, 2021)

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. - Li He; Dingxian Wang; Hanzhang Wang; Hongxu Chen 002; Guandong Xu (CIKM, 2021)

Causal-Aware Generative Imputation for Automated Underwriting. - Qian Li 003; Tri Dung Duong; Zhichao Wang 001; Shaowu Liu; Dingxian Wang; Guandong Xu (CIKM, 2021)

Learning Intents behind Interactions with Knowledge Graph for Recommendation. - Xiang Wang 010; Tinglin Huang; Dingxian Wang; Yancheng Yuan; Zhenguang Liu; Xiangnan He 001; Tat-Seng Chua (WWW, 2021)

AMR-TST: Abstract Meaning Representation-based Text Style Transfer. - Kaize Shi; Xueyao Sun; Li He; Dingxian Wang; Qing Li 001; Guandong Xu (ACL (Findings), 2023)

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. - Yang Zhang 072; Tianhao Shi; Fuli Feng; Wenjie Wang 007; Dingxian Wang; Xiangnan He 001; Yongdong Zhang 001 (SIGIR, 2023)

Simplifying Graph-based Collaborative Filtering for Recommendation. - Li He; Xianzhi Wang 001; Dingxian Wang; Haoyuan Zou; Hongzhi Yin; Guandong Xu (WSDM, 2023)

Fairness-aware Differentially Private Collaborative Filtering. - Zhenhuan Yang; Yingqiang Ge; Congzhe Su; Dingxian Wang; Xiaoting Zhao; Yiming Ying (WWW (Companion Volume), 2023)

Transferable Fairness for Cold-Start Recommendation. - Yunqi Li 001; Dingxian Wang; Hanxiong Chen; Yongfeng Zhang (CoRR, 2023)

LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. - Kaize Shi; Xueyao Sun; Dingxian Wang; Yinlin Fu; Guandong Xu; Qing Li 001 (CoRR, 2023)

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. - Chengpeng Li 001; Zhengyi Yang 007; Jizhi Zhang; Jiancan Wu; Dingxian Wang; Xiangnan He 001; Xiang Wang 010 (CoRR, 2023)

Causal Inference for Knowledge Graph Based Recommendation. - Yinwei Wei; Xiang Wang 010; Liqiang Nie; Shaoyu Li; Dingxian Wang; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2023)

Workshop on Generative AI for E-commerce. - Mansi Ranjit Mane; Djordje Gligorijevic; Dingxian Wang; Behzad Shahrasbi; Topojoy Biswas; Evren Körpeoglu; Marios Savvides (CIKM, 2024)

Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. - Jiaqi Deng; Kaize Shi; Huan Huo; Dingxian Wang; Guandong Xu (SIGIR, 2024)

Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. - Yuyue Zhao; Jiancan Wu; Xiang Wang 010; Wei Tang 015; Dingxian Wang; Maarten de Rijke (SIGIR, 2024)

A topic-controllable keywords-to-text generator with knowledge base network. - Li He; Kaize Shi; Dingxian Wang; Xianzhi Wang 001; Guandong Xu (CAAI Trans. Intell. Technol., 2024)

Mitigating Hidden Confounding Effects for Causal Recommendation. - Xinyuan Zhu; Yang Zhang 072; Fuli Feng; Xun Yang 001; Dingxian Wang; Xiangnan He 001 (IEEE Trans. Knowl. Data Eng., 2024)

LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following. - Kaize Shi; Xueyao Sun; Dingxian Wang; Yinlin Fu; Guandong Xu; Qing Li 001 (COLING, 2025)

UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. - Jiaqi Deng; Kaize Shi; Zonghan Wu; Huan Huo; Dingxian Wang; Guandong Xu (CoRR, 2025)

Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. - Xueyao Sun; Kaize Shi; Haoran Tang; Dingxian Wang; Guandong Xu; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)