His primary areas of study are Artificial intelligence, Machine learning, Data mining, Natural language processing and Theoretical computer science. His biological study spans a wide range of topics, including Matching, Relevance and Pattern recognition. He has included themes like Database transaction and Representation in his Machine learning study.
The various areas that Xueqi Cheng examines in his Data mining study include Embedding, Feature selection, Statistical model and Robustness. His Natural language processing study which covers Context that intersects with Matching, Viterbi algorithm and Sequence. His research integrates issues of CURE data clustering algorithm, Locality, Random graph and Clique percolation method, Community structure in his study of Theoretical computer science.
Xueqi Cheng mainly focuses on Artificial intelligence, Machine learning, Information retrieval, Data mining and Natural language processing. His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition. His study in the field of Leverage also crosses realms of Rank and Process.
His Information retrieval study integrates concerns from other disciplines, such as Web page and The Internet. Xueqi Cheng regularly links together related areas like Word in his Natural language processing studies. His studies link Ranking with Ranking.
Xueqi Cheng mainly investigates Artificial intelligence, Natural language processing, Machine learning, Theoretical computer science and Information retrieval. His work on Sentence as part of his general Natural language processing study is frequently connected to Structure, thereby bridging the divide between different branches of science. Many of his research projects under Machine learning are closely connected to Popularity, Function and Mechanism with Popularity, Function and Mechanism, tying the diverse disciplines of science together.
The concepts of his Theoretical computer science study are interwoven with issues in Embedding, Graph and Relation. Xueqi Cheng combines subjects such as Ranking and Natural language with his study of Information retrieval. In his research on the topic of Question answering, Word is strongly related with Matching.
Xueqi Cheng spends much of his time researching Artificial intelligence, Information retrieval, Embedding, Natural language processing and Machine learning. His Artificial intelligence study frequently links to adjacent areas such as Graph. His work on Relevance as part of general Information retrieval study is frequently linked to Distribution, therefore connecting diverse disciplines of science.
His Embedding research includes themes of Data modeling, Theoretical computer science, Reliability, Space and Translation. His research in the fields of Sentence overlaps with other disciplines such as Structure. He interconnects Node, Representation, Conversation and Metric in the investigation of issues within Machine learning.
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.
A biterm topic model for short texts
Xiaohui Yan;Jiafeng Guo;Yanyan Lan;Xueqi Cheng.
the web conference (2013)
Detect overlapping and hierarchical community structure in networks
Huawei Shen;Xueqi Cheng;Kai Cai;Mao-Bin Hu.
Physica A-statistical Mechanics and Its Applications (2009)
Significance and Challenges of Big Data Research
Xiaolong Jin;Benjamin W. Wah;Xueqi Cheng;Yuanzhuo Wang.
Big Data Research (2015)
A survey on sentiment detection of reviews
Huifeng Tang;Songbo Tan;Xueqi Cheng.
Expert Systems With Applications (2009)
Named entity recognition in query
Jiafeng Guo;Gu Xu;Xueqi Cheng;Hang Li.
international acm sigir conference on research and development in information retrieval (2009)
BTM: Topic Modeling over Short Texts
Xueqi Cheng;Xiaohui Yan;Yanyan Lan;Jiafeng Guo.
IEEE Transactions on Knowledge and Data Engineering (2014)
Learning Hierarchical Representation Model for NextBasket Recommendation
Pengfei Wang;Jiafeng Guo;Yanyan Lan;Jun Xu.
international acm sigir conference on research and development in information retrieval (2015)
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis
Songbo Tan;Xueqi Cheng;Yuefen Wang;Hongbo Xu.
european conference on information retrieval (2009)
Chinese Lexical Analysis Using Hierarchical Hidden Markov Model
Hua-Ping Zhang;Qun Liu;Xue-Qi Cheng;Hao Zhang.
Proceedings of the Second SIGHAN Workshop on Chinese Language Processing (2003)
Survey and taxonomy of feature selection algorithms in intrusion detection system
You Chen;Yang Li;Xue-Qi Cheng;Li Guo.
information security and cryptology (2006)
Profile was last updated on December 6th, 2021.
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