A5100397591- Music and Audio Processing
- Speech and Audio Processing
- Gene expression and cancer classification
- Advanced Text Analysis Techniques
- Diverse Musicological Studies
- Topic Modeling
- NF-κB Signaling Pathways
- Video Analysis and Summarization
- Advanced Malware Detection Techniques
- Genomic variations and chromosomal abnormalities
- Terahertz technology and applications
- Recommender Systems and Techniques
- Neuroblastoma Research and Treatments
- Prenatal Screening and Diagnostics
- Advanced Optical Sensing Technologies
- Cancer-related gene regulation
- Speech and dialogue systems
- Hearing Loss and Rehabilitation
- Color perception and design
- Congenital heart defects research
- Network Security and Intrusion Detection
- RNA Research and Splicing
- Atmospheric aerosols and clouds
- Fetal and Pediatric Neurological Disorders
- Environmental Impact and Sustainability
Chongqing Medical University
2025
Second Affiliated Hospital of Chongqing Medical University
2025
Dalian Medical University
2025
Huaqiao University
2024-2025
Southeast University
2008-2024
State Key Laboratory of Millimeter Waves
2023
Harbin University
2023
Northeast Forestry University
2023
Microsoft Research Asia (China)
2022
Zhongda Hospital Southeast University
2018
SELEX-Seq is now the optimal high-throughput technique for characterizing DNA-binding specificities of transcription factors. In this study, we introduced an improved EMSA-based strategy with several advantages. The improvements included: (1) using a FAM-labeled probe to track protein-DNA complex in polyacrylamide gel rapidly recovering protein-bound dsDNA without relying on traditional radioactive labeling or ethidium bromide staining; (2) monitoring specificity SELEX selection by detecting...
Little attention has been paid to international ecological efficiency, especially taking footprint (EF), labor, and capital into account as multi-inputs produce GDP in the total-factor framework. This study evaluates efficiency (TFEcE) of G20 during period 1999–2013 by employing slack-based measure (SBM) with EF index comprehensive inputs. Findings show that average level TFEcE from 1999 2013 is at a low about 0.54, which means there large space for improvement TFEcE. Furthermore, very...
Radial glial cells (RGCs), the instructive scaffolds for neuronal migration, are well characterized by their unique morphology and polarization; these extend elongated basal processes to pial basement membrane (BM) parallel one another. However, little is known about mechanisms that underlie developmental regulation maintenance of this morphology. Here, crossing Fstl1 fl/fl mice with an EIIa-Cre line, we identified a new role secreted glycoprotein Follistatin like-1 (FSTL1). The ablation in...
With the rapid development of science and technology, autonomous driving is gradually moving from theoretical research to engineering reality. Millimeter-wave (MMW) radars, Lidars, cameras, other sensors form core environmental perception for vehicles Advanced Driver Assistance Systems (ADAS). While cameras offer low cost rich information, they are not easy use in conditions poor illumination climate. Lidar has strong long-range detection measurement accuracy but expensive suitable...
The development of Web bots capable exhibiting human-like browsing behavior has long been the goal practitioners on both side security spectrum - malicious hackers as well defenders. For such are an effective vehicle for bypassing various layers system/network protection or obstructing operation Intrusion Detection Systems (IDSs). defenders, use behaving is shown to be great importance in process provisioning and testing. In past, there have many attempts at developing accurate models...
Convolutional neural networks (CNNs) are frequently employed in acoustic scene classification (ASC) tasks due to their ability gather time-frequency information pertaining the spectrum. However, present research on ASC systems necessitates considering model's complexity, which results an indistinct acquisition of within confines convolutional operations. This paper proposes a pyramid pooling (TFPP) strategy that is based low complexity for ASC, incorporated into layer. The proposed TFPP...
The rapid advancement of communication and information technology has led to the expansion blossoming digital music. Recently, music feature extraction classification have emerged as a research hotspot due difficulty quickly accurately retrieving that consumers are looking for from large volume repositories. Traditional approaches rely heavily on wide variety synthetically produced aural features. In this research, we propose novel approach selecting musical genre user playlists by using...
The conversational recommender systems (CRSs) have received extensive attention in recent years. However, most of the existing works focus on various deep learning models, which are largely limited by requirement large-scale human-annotated datasets. Such methods not able to deal with cold-start scenarios industrial products. To alleviate problem, we propose FORCE, a Framework Of Rule-based Conversational rEcommender system that helps developers quickly build CRS bots simple configuration....
Ultrathin conjugated microporous thermoset nanosheets (CMT-n) was successfully synthesized based on a solvent-free, catalyst-free thermosetting process and CMT-n shows excellent discharge capacity cycling stability as anodes for lithium storage.
Obtaining large-scale human-labeled datasets to train acoustic representation models is a very challenging task. On the contrary, we can easily collect data with machine-generated labels. In this work, propose exploit labels learn better representations, based on synchronization between vision and audio. Firstly, video dataset 15 million samples, which totally last 16,320 hours. Each 3 5 seconds in length annotated automatically by publicly available visual audio classification models....
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Abstract With its characteristics of wide range and large volume variation, piano has an unshakable position in the Musical Instruments is widely loved by numerous people. In a upright piano, basic function sound board (resonance board) used to expand emitted string. Different wood species would produce different vibration amplitudes resonance effects. If other parts two pianos are exactly same, their advantages weaknesses can only be determined board, so version material particularly...
The popularity of the Internet and electronization music resources make it easier for people to get what they like.However, facing abundant resources, is difficult find their favorite accurately timely.Personalized recommendation algorithms play an increasingly important role in online service systems.Traditional feedback method requires user give explicitly, which not only increases information collection cost but also gives additional burden.This paper proposes a content filtering based on...
The conversational recommender systems (CRSs) have received extensive attention in recent years. However, most of the existing works focus on various deep learning models, which are largely limited by requirement large-scale human-annotated datasets. Such methods not able to deal with cold-start scenarios industrial products. To alleviate problem, we propose FORCE, a Framework Of Rule-based Conversational Recommender system that helps developers quickly build CRS bots simple configuration....