2020 - ACM Senior Member
Liangliang Cao mainly focuses on Artificial intelligence, Pattern recognition, Machine learning, World Wide Web and Information retrieval. His Artificial intelligence study frequently draws connections between related disciplines such as Computer vision. His work on Feature extraction, Dimensionality reduction and k-nearest neighbors algorithm is typically connected to Generative model as part of general Pattern recognition study, connecting several disciplines of science.
His Machine learning research is multidisciplinary, incorporating elements of Similarity and Inference. His World Wide Web study combines topics from a wide range of disciplines, such as Topic model and Data science. The various areas that he examines in his Information retrieval study include Annotation, Semantic gap and Scale-invariant feature transform.
Liangliang Cao mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Information retrieval and Machine learning. His Natural language processing research extends to the thematically linked field of Artificial intelligence. His Natural language processing research includes elements of Crowdsourcing and Semantics.
His work on Image texture as part of general Pattern recognition study is frequently connected to TRECVID, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Liangliang Cao has researched Information retrieval in several fields, including Visualization, Data mining, Annotation, Cluster analysis and Social media. His research on Machine learning often connects related topics like Classifier.
His primary scientific interests are in Artificial intelligence, Speech recognition, Natural language processing, End-to-end principle and Benchmark. His Artificial intelligence research includes themes of Machine learning, Information retrieval and Pattern recognition. He combines subjects such as Object detection, Pascal and Outlier with his study of Pattern recognition.
Semantics is closely connected to Social media in his research, which is encompassed under the umbrella topic of Natural language processing. The various areas that Liangliang Cao examines in his End-to-end principle study include Sentiment analysis and Classifier. His Benchmark study combines topics in areas such as Ranking and Image.
Liangliang Cao mainly investigates Artificial intelligence, Benchmark, Natural language processing, Information retrieval and Pattern recognition. His work deals with themes such as Machine learning and Metadata, which intersect with Artificial intelligence. Liangliang Cao combines subjects such as Ranking and Image with his study of Benchmark.
His studies in Natural language processing integrate themes in fields like Crowdsourcing and Social media. His Social media research is multidisciplinary, incorporating elements of Sentiment analysis, Parsing, Classifier, Semantic learning and Sentence. His Pattern recognition research integrates issues from Object detector, Pascal and Outlier.
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.
Learning Locally-Adaptive Decision Functions for Person Verification
Zhen Li;Shiyu Chang;Feng Liang;Thomas S. Huang.
computer vision and pattern recognition (2013)
Large-scale image classification: Fast feature extraction and SVM training
Yuanqing Lin;Fengjun Lv;Shenghuo Zhu;Ming Yang.
computer vision and pattern recognition (2011)
Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes
Liangliang Cao;Li Fei-Fei.
international conference on computer vision (2007)
Learning from Noisy Labels with Distillation
Yuncheng Li;Jianchao Yang;Yale Song;Liangliang Cao.
international conference on computer vision (2017)
Geographical topic discovery and comparison
Zhijun Yin;Liangliang Cao;Jiawei Han;Chengxiang Zhai.
the web conference (2011)
Cross-dataset action detection
Liangliang Cao;Zicheng Liu;Thomas S. Huang.
computer vision and pattern recognition (2010)
Designing Category-Level Attributes for Discriminative Visual Recognition
Felix X. Yu;Liangliang Cao;Rogerio S. Feris;John R. Smith.
computer vision and pattern recognition (2013)
Action detection in complex scenes with spatial and temporal ambiguities
Yuxiao Hu;Liangliang Cao;Fengjun Lv;Shuicheng Yan.
international conference on computer vision (2009)
Gender recognition from body
Liangliang Cao;Mert Dikmen;Yun Fu;Thomas S. Huang.
acm multimedia (2008)
The wisdom of social multimedia: using flickr for prediction and forecast
Xin Jin;Andrew Gallagher;Liangliang Cao;Jiebo Luo.
acm multimedia (2010)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: