His study looks at the intersection of Grain boundary and topics like Microstructure with Composite material. As part of his studies on Composite material, he often connects relevant subjects like Microstructure. His Organic chemistry study frequently draws connections between adjacent fields such as Phase (matter) and Polymer. He combines Polymer and Organic chemistry in his research. His Optics study frequently draws connections to other fields, such as Fluorescence. His Optoelectronics study frequently draws connections to other fields, such as Luminescence. His research on Luminescence often connects related areas such as Optoelectronics. In his papers, Yongfeng Zhang integrates diverse fields, such as Photochemistry and Fluorescence.
The scientist’s investigation covers issues in Organic chemistry, Composite material, Quantum mechanics, Thermodynamics, Nanotechnology, Metallurgy, Chemical engineering, Biochemistry, Optoelectronics, Crystallography, Condensed matter physics, Artificial intelligence and Optics.
His study in the fields of Organic chemistry under the domain of Catalysis overlaps with other disciplines such as Chemical engineering. He merges many fields, such as Organic chemistry and Catalysis, in his writings. His work on Crystallography as part of general Vacancy defect study is frequently linked to Chemical physics and Thermodynamics, bridging the gap between disciplines. Crystallography and Vacancy defect are commonly linked in his work. Yongfeng Zhang integrates several fields in his works, including Composite material and Polymer. Yongfeng Zhang combines Polymer and Composite material in his research. Yongfeng Zhang undertakes interdisciplinary study in the fields of Fluorescence and Photochemistry through his works. He applies his multidisciplinary studies on Photochemistry and Fluorescence in his research. Much of his study explores Optoelectronics relationship to Visible spectrum.
While the research belongs to areas of Phosphonium, Yongfeng Zhang spends his time largely on the problem of Polymer chemistry, intersecting his research to questions surrounding Click chemistry. He combines topics linked to Polymer chemistry with his work on Click chemistry. Yongfeng Zhang links relevant scientific disciplines such as Chromophore and Carbazole in the realm of Photochemistry. He performs multidisciplinary study on Chromophore and Fluorescence in his works. He integrates Fluorescence and Pyrene in his studies. His research is interdisciplinary, bridging the disciplines of Organic chemistry and Pyrene. His studies link Amorphous solid with Organic chemistry. In his articles, he combines various disciplines, including Amorphous solid and Polymer. Polymer and Polyphosphazene are two areas of study in which he engages in interdisciplinary research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Yongfeng Zhang;Guokun Lai;Min Zhang;Yi Zhang.
international acm sigir conference on research and development in information retrieval (2014)
Sequential Recommendation with User Memory Networks
Xu Chen;Hongteng Xu;Yongfeng Zhang;Jiaxi Tang.
web search and data mining (2018)
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang;Xu Chen.
Foundations and Trends in Information Retrieval (2020)
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources
Yongfeng Zhang;Qingyao Ai;Xu Chen;W. Bruce Croft.
conference on information and knowledge management (2017)
Towards Conversational Search and Recommendation: System Ask, User Respond
Yongfeng Zhang;Xu Chen;Qingyao Ai;Liu Yang.
conference on information and knowledge management (2018)
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian;Zuohui Fu;S. Muthukrishnan;Gerard de Melo.
international acm sigir conference on research and development in information retrieval (2019)
Learning heterogeneous knowledge base embeddings for explainable recommendation
Qingyao Ai;Vahid Azizi;Xu Chen;Yongfeng Zhang.
Algorithms (2018)
Learning to Rank Features for Recommendation over Multiple Categories
Xu Chen;Zheng Qin;Yongfeng Zhang;Tao Xu.
international acm sigir conference on research and development in information retrieval (2016)
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Liu Yang;Minghui Qiu;Chen Qu;Jiafeng Guo.
international acm sigir conference on research and development in information retrieval (2018)
BERT with History Answer Embedding for Conversational Question Answering
Chen Qu;Liu Yang;Minghui Qiu;W. Bruce Croft.
international acm sigir conference on research and development in information retrieval (2019)
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