Dingxian Wang

According to our database, Dingxian Wang authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mitigating Hidden Confounding Effects for Causal Recommendation.

Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He

IEEE Trans. Knowl. Data Eng., September, 2024

A topic-controllable keywords-to-text generator with knowledge base network.

Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu

CAAI Trans. Intell. Technol., 2024

Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning.

Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement.

Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Workshop on Generative AI for E-commerce.

Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Behzad Shahrasbi, Topojoy Biswas, Evren Körpeoglu, Marios Savvides

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Causal Inference for Knowledge Graph Based Recommendation.

Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., November, 2023

Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation.

Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang

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

CoRR, 2023

Transferable Fairness for Cold-Start Recommendation.

Yunqi Li, Dingxian Wang, Hanxiong Chen, Yongfeng Zhang

CoRR, 2023

Fairness-aware Differentially Private Collaborative Filtering.

Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Simplifying Graph-based Collaborative Filtering for Recommendation.

Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.

Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AMR-TST: Abstract Meaning Representation-based Text Style Transfer.

Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation.

Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua

Proceedings of the WWW '21: The Web Conference 2021, 2021

Causal-Aware Generative Imputation for Automated Underwriting.

Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories.

Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Click-Through Rate Prediction with Multi-Modal Hypergraphs.

Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019

Explainable Reasoning over Knowledge Graphs for Recommendation.

Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

BiRank: Towards Ranking on Bipartite Graphs.

Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang

IEEE Trans. Knowl. Data Eng., 2017

2016

Workflow temporal verification for monitoring parallel business processes.

Xiao Liu, Dingxian Wang, Dong Yuan, Futian Wang, Yun Yang

J. Softw. Evol. Process., 2016

A novel framework for semantic entity identification and relationship integration in large scale text data.

Dingxian Wang, Xiao Liu, Hangzai Luo, Jianping Fan

Future Gener. Comput. Syst., 2016

2014

Throughput based temporal verification for monitoring large batch of parallel processes.

Xiao Liu, Dingxian Wang, Dong Yuan, Futian Wang, Yun Yang

Proceedings of the International Conference on Software and Systems Process 2014, 2014

2013

Semantic Entity Identification in Large Scale Data via Statistical Features and DT-SVM.

Dingxian Wang, Xiao Liu, Hangzai Luo, Jianping Fan

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

A Novel Deadline Assignment Strategy for a Large Batch of Parallel Tasks with Soft Deadlines in the Cloud.

Xiao Liu, Dingxian Wang, Dong Yuan, Yun Yang

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

A DT-SVM Strategy for Stock Futures Prediction with Big Data.

Dingxian Wang, Xiao Liu, Mengdi Wang

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

The Design of a Workflow Recommendation System for Workflow as a Service in the Cloud.

Dingxian Wang, Xiao Liu, Zheng He, Xiaoliang Fan

Proceedings of the Business Process Management Workshops, 2013