Search Results for author: Fan Cui

Found 6 papers, 1 papers with code

Exploring Representation Learning for Small-Footprint Keyword Spotting

no code implementations20 Mar 2023 Fan Cui, Liyong Guo, Quandong Wang, Peng Gao, Yujun Wang

To address those challenges, we explore representation learning for KWS by self-supervised contrastive learning and self-training with pretrained model.

Contrastive Learning Representation Learning +1

Improving Weakly Supervised Sound Event Detection with Causal Intervention

no code implementations10 Mar 2023 Yifei Xin, Dongchao Yang, Fan Cui, Yujun Wang, Yuexian Zou

Existing weakly supervised sound event detection (WSSED) work has not explored both types of co-occurrences simultaneously, i. e., some sound events often co-occur, and their occurrences are usually accompanied by specific background sounds, so they would be inevitably entangled, causing misclassification and biased localization results with only clip-level supervision.

Event Detection Sound Event Detection

Robust Protection of III-V Nanowires in Water Splitting by a Thin Compact TiO$_2$ Layer

no code implementations16 Dec 2020 Fan Cui, Yunyan Zhang, H. Aruni Fonseka, Premrudee Promdet, Ali Imran Channa, Mingqing Wang, Xueming Xia, Sanjayan Sathasivam, Hezhuang Liu, Ivan P. Parkin, Hui Yang, Ting Li, Kwang-Leong Choy, Jiang Wu, Chris Blackman, Ana M. Sanchez, Huiyun Liu

Working as a photocathode for water splitting, they exhibited a 45% larger photocurrent density compared with un-protected counterparts and a high Faraday efficiency of 91%, and can also maintain a record-long highly-stable performance among narrow-bandgap III-V NW photoelectrodes; after 67 hours photoelectrochemical stability test reaction in strong acid electrolyte solution (pH = 1), they show no apparent indication of corrosion, which is in stark contrast to the un-protected NWs that are fully failed after 35-hours.

Mesoscale and Nanoscale Physics Chemical Physics

Cross-model convolutional neural network for multiple modality data representation

no code implementations19 Nov 2016 Yanbin Wu, Li Wang, Fan Cui, Hongbin Zhai, Baoming Dong, Jim Jing-Yan Wang

A novel data representation method of convolutional neural net- work (CNN) is proposed in this paper to represent data of different modalities.

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