Dingxian Wang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 30

Top Topics

Bipartite Graph

Business Process

Causal Inference

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He
Mitigating Hidden Confounding Effects for Causal Recommendation. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR (2024)
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR (2024)
Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. SIGIR (2024)
Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu
A topic-controllable keywords-to-text generator with knowledge base network. CAAI Trans. Intell. Technol. 9 (3) (2024)
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. SIGIR (2023)
Yunqi Li, Dingxian Wang, Hanxiong Chen, Yongfeng Zhang
Transferable Fairness for Cold-Start Recommendation. CoRR (2023)
Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR (2023)
Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying
Fairness-aware Differentially Private Collaborative Filtering. CoRR (2023)
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. CoRR (2023)
Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. CoRR (2023)
Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua
Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM (2023)
Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying
Fairness-aware Differentially Private Collaborative Filtering. WWW (Companion Volume) (2023)
Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu
AMR-TST: Abstract Meaning Representation-based Text Style Transfer. ACL (Findings) (2023)
Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua
Causal Inference for Knowledge Graph based Recommendation. CoRR (2022)
Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He
Mitigating Hidden Confounding Effects for Causal Recommendation. CoRR (2022)
Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CoRR (2021)
Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM (2021)
Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW (2021)
Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR (2021)
Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu
Causal-Aware Generative Imputation for Automated Underwriting. CIKM (2021)
Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CIKM (2021)
Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR (2021)
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI (2019)
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
Explainable Reasoning over Knowledge Graphs for Recommendation. CoRR (2018)
Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang
BiRank: Towards Ranking on Bipartite Graphs. CoRR (2017)
Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang
BiRank: Towards Ranking on Bipartite Graphs. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Xiao Liu, Dingxian Wang, Dong Yuan, Futian Wang, Yun Yang
Workflow temporal verification for monitoring parallel business processes. J. Softw. Evol. Process. 28 (4) (2016)
Dingxian Wang, Xiao Liu, Hangzai Luo, Jianping Fan
A novel framework for semantic entity identification and relationship integration in large scale text data. Future Gener. Comput. Syst. 64 (2016)
Xiao Liu, Dingxian Wang, Dong Yuan, Futian Wang, Yun Yang
Throughput based temporal verification for monitoring large batch of parallel processes. ICSSP (2014)
Dingxian Wang, Xiao Liu, Hangzai Luo, Jianping Fan
Semantic Entity Identification in Large Scale Data via Statistical Features and DT-SVM. WISE (1) (2013)
Dingxian Wang, Xiao Liu, Zheng He, Xiaoliang Fan
The Design of a Workflow Recommendation System for Workflow as a Service in the Cloud. Business Process Management Workshops (2013)
Dingxian Wang, Xiao Liu, Mengdi Wang
A DT-SVM Strategy for Stock Futures Prediction with Big Data. CSE (2013)
Xiao Liu, Dingxian Wang, Dong Yuan, Yun Yang
A Novel Deadline Assignment Strategy for a Large Batch of Parallel Tasks with Soft Deadlines in the Cloud. HPCC/EUC (2013)