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2020 – today
- 2025
[c18]Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li:
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following. COLING 2025: 870-885- [i14]Jiaqi Deng, Kaize Shi, Zonghan Wu, Huan Huo, Dingxian Wang, Guandong Xu:
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. CoRR abs/2504.04065 (2025) - 2024
- [j6]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): 585-594 (2024) - [j5]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): 4794-4805 (2024) - [c17]Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Behzad Shahrasbi, Topojoy Biswas, Evren Körpeoglu, Marios Savvides:
Workshop on Generative AI for E-commerce. CIKM 2024: 5592-5595 - [c16]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: 1796-1806 - [c15]Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu:
Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. SIGIR 2024: 2870-2874 - [i13]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 abs/2405.15114 (2024) - 2023
- [j4]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): 11153-11164 (2023) - [c14]Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu:
AMR-TST: Abstract Meaning Representation-based Text Style Transfer. ACL (Findings) 2023: 4231-4243 - [c13]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: 1386-1395 - [c12]Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu:
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM 2023: 60-68 - [c11]Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying:
Fairness-aware Differentially Private Collaborative Filtering. WWW (Companion Volume) 2023: 927-931 - [i12]Yunqi Li, Dingxian Wang, Hanxiong Chen, Yongfeng Zhang:
Transferable Fairness for Cold-Start Recommendation. CoRR abs/2301.10665 (2023) - [i11]Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying:
Fairness-aware Differentially Private Collaborative Filtering. CoRR abs/2303.09527 (2023) - [i10]Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang:
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. CoRR abs/2304.13643 (2023) - [i9]Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li:
LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. CoRR abs/2308.04913 (2023) - [i8]Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang:
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR abs/2310.16566 (2023) - 2022
- [i7]Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He:
Mitigating Hidden Confounding Effects for Causal Recommendation. CoRR abs/2205.07499 (2022) - [i6]Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph based Recommendation. CoRR abs/2212.10046 (2022) - 2021
- [c10]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM 2021: 690-699 - [c9]Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. CIKM 2021: 3916-3924 - [c8]Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CIKM 2021: 4721-4724 - [c7]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: 878-887 - [i5]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 abs/2102.07057 (2021) - [i4]Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CoRR abs/2109.02094 (2021) - [i3]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR abs/2109.02398 (2021)
2010 – 2019
- 2019
- [c6]Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI 2019: 5329-5336 - 2018
- [i2]Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. CoRR abs/1811.04540 (2018) - 2017
- [j3]Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang:
BiRank: Towards Ranking on Bipartite Graphs. IEEE Trans. Knowl. Data Eng. 29(1): 57-71 (2017) - [i1]Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang:
BiRank: Towards Ranking on Bipartite Graphs. CoRR abs/1708.04396 (2017) - 2016
- [j2]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: 198-210 (2016) - [j1]Xiao Liu, Dingxian Wang, Dong Yuan, Futian Wang, Yun Yang:
Workflow temporal verification for monitoring parallel business processes. J. Softw. Evol. Process. 28(4): 286-302 (2016) - 2014
- [c5]Xiao Liu, Dingxian Wang, Dong Yuan, Futian Wang, Yun Yang:
Throughput based temporal verification for monitoring large batch of parallel processes. ICSSP 2014: 124-133 - 2013
- [c4]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: 251-263 - [c3]Dingxian Wang, Xiao Liu, Mengdi Wang:
A DT-SVM Strategy for Stock Futures Prediction with Big Data. CSE 2013: 1005-1012 - [c2]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: 51-58 - [c1]Dingxian Wang, Xiao Liu, Hangzai Luo, Jianping Fan:
Semantic Entity Identification in Large Scale Data via Statistical Features and DT-SVM. WISE (1) 2013: 354-367
Coauthor Index
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