Dingxian Wang - RankMe

45 papers A* 7A 6B 2Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Delayed Feedback Modeling with Influence Functions. AAAI Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich
2026	A*	`conf`	FilterRec: An Intent-Aware Framework for Dynamic Filter Recommendation. WWW Dingxian Wang, Jiacheng Dong, Jiaqi Deng, Jing Long, Ted Liu, George Barelas, Arya Taylor, Spyros Kapnissis, Frank Yang, Andrew Rabinovich, Guandong Xu
2026	J	`jnl`	SODA: Semantic-Oriented Distributional Alignment for Generative Recommendation. CoRR Ziqi Xue, Dingxian Wang, Yimeng Bai, Shuai Zhu, Jialei Li, Xiaoyan Zhao, Frank Yang, Andrew Rabinovich, Yang Zhang, Pablo N. Mendes
2026	J	`jnl`	UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization. CoRR Jialei Li, Yang Zhang, Yimeng Bai, Shuai Zhu, Ziqi Xue, Xiaoyan Zhao, Dingxian Wang, Frank Yang, Andrew Rabinovich, Xiangnan He
2025	J	`jnl`	Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation. CoRR Yimeng Bai, Chang Liu, Yang Zhang, Dingxian Wang, Frank Yang, Andrew Rabinovich, Wenge Rong, Fuli Feng
2025	J	`jnl`	Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. IEEE Trans. Knowl. Data Eng. Xueyao Sun, Kaize Shi, Haoran Tang, Dingxian Wang, Guandong Xu, Qing Li
2025	B	`conf`	LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following. COLING Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li
2025	A	`conf`	The Second Workshop on Generative AI for E-commerce. RecSys Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Topojoy Biswas, Evren Körpeoglu, Marios Savvides, Yongfeng Zhang, Julian J. McAuley
2025	J	`jnl`	UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. CoRR Jiaqi Deng, Kaize Shi, Zonghan Wu, Huan Huo, Dingxian Wang, Guandong Xu
2024	J	`jnl`	A topic-controllable keywords-to-text generator with knowledge base network. CAAI Trans. Intell. Technol. Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu
2024	A*	`conf`	Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement. SIGIR Jiaqi Deng, Kaize Shi, Huan Huo, Dingxian Wang, Guandong Xu
2024	A*	`conf`	Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
2024	J	`jnl`	Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
2024	J	`jnl`	Mitigating Hidden Confounding Effects for Causal Recommendation. IEEE Trans. Knowl. Data Eng. Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He
2024	A	`conf`	Workshop on Generative AI for E-commerce. CIKM Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Behzad Shahrasbi, Topojoy Biswas, Evren Körpeoglu, Marios Savvides
2023	—	`conf`	AMR-TST: Abstract Meaning Representation-based Text Style Transfer. ACL (Findings) Kaize Shi, Xueyao Sun, Li He, Dingxian Wang, Qing Li, Guandong Xu
2023	J	`jnl`	Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua
2023	—	`conf`	Fairness-aware Differentially Private Collaborative Filtering. WWW (Companion Volume) Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying
2023	J	`jnl`	Fairness-aware Differentially Private Collaborative Filtering. CoRR Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying
2023	J	`jnl`	LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. CoRR Kaize Shi, Xueyao Sun, Dingxian Wang, Yinlin Fu, Guandong Xu, Qing Li
2023	J	`jnl`	Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang
2023	A*	`conf`	Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. SIGIR Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
2023	J	`jnl`	Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. CoRR Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
2023	A	`conf`	Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu
2023	J	`jnl`	Transferable Fairness for Cold-Start Recommendation. CoRR Yunqi Li, Dingxian Wang, Hanxiong Chen, Yongfeng Zhang
2022	J	`jnl`	Causal Inference for Knowledge Graph based Recommendation. CoRR Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua
2022	J	`jnl`	Mitigating Hidden Confounding Effects for Causal Recommendation. CoRR Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He
2021	A	`conf`	Causal-Aware Generative Imputation for Automated Underwriting. CIKM Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu
2021	A	`conf`	Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021	A*	`conf`	Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
2021	J	`jnl`	Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
2021	A	`conf`	TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CIKM Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
2021	J	`jnl`	TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CoRR Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
2019	A*	`conf`	Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
2018	J	`jnl`	Explainable Reasoning over Knowledge Graphs for Recommendation. CoRR Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
2017	J	`jnl`	BiRank: Towards Ranking on Bipartite Graphs. CoRR Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang
2017	J	`jnl`	BiRank: Towards Ranking on Bipartite Graphs. IEEE Trans. Knowl. Data Eng. Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang
2016	J	`jnl`	A novel framework for semantic entity identification and relationship integration in large scale text data. Future Gener. Comput. Syst. Dingxian Wang, Xiao Liu, Hangzai Luo, Jianping Fan
2016	J	`jnl`	Workflow temporal verification for monitoring parallel business processes. J. Softw. Evol. Process. Xiao Liu, Dingxian Wang, Dong Yuan, Futian Wang, Yun Yang
2014	B	`conf`	Throughput based temporal verification for monitoring large batch of parallel processes. ICSSP Xiao Liu, Dingxian Wang, Dong Yuan, Futian Wang, Yun Yang
2013	—	`conf`	A DT-SVM Strategy for Stock Futures Prediction with Big Data. CSE Dingxian Wang, Xiao Liu, Mengdi Wang
2013	—	`conf`	A Novel Deadline Assignment Strategy for a Large Batch of Parallel Tasks with Soft Deadlines in the Cloud. HPCC/EUC Xiao Liu, Dingxian Wang, Dong Yuan, Yun Yang
2013	—	`conf`	Semantic Entity Identification in Large Scale Data via Statistical Features and DT-SVM. WISE (1) Dingxian Wang, Xiao Liu, Hangzai Luo, Jianping Fan
2013	—	`conf`	The Design of a Workflow Recommendation System for Workflow as a Service in the Cloud. Business Process Management Workshops Dingxian Wang, Xiao Liu, Zheng He, Xiaoliang Fan