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From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning

Song, Jingkuan (author), Guo, Yuyu (author), Gao, Lianli (author), Li, Xuelong (author), Hanjalic, A. (author), Shen, Heng Tao (author)

Video captioning, in essential, is a complex natural process, which is affected by various uncertainties stemming from video content, subjective judgment, and so on. In this paper, we build on the recent progress in using encoder-decoder framework for video captioning and address what we find to be a critical deficiency of the existing...

journal article 2018

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The Longitudinal Profile of a Prograding River and Its Response to Sea Level Rise

Gao, Weilun (author), Li, Dongxue (author), Wang, Zhengbing (author), Nardin, William (author), Shao, Dongdong (author), Sun, Tao (author), University, Beijing (author), Cui, Baoshan (author)

River longitudinal profile, a key morphological characteristic of the river channel, is subject to river mouth progradation. Given the increasing influence of human activities and climate change on this critical downstream control, understanding its effects on the evolution of the longitudinal profile is imperative. A general theoretical...

journal article 2020

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Coalescence kinetics and microstructure evolution of Cu nanoparticles sintering on substrates: a molecular dynamics study

Liu, X. (author), Li, Shizhen (author), Tan, C. (author), Gao, Chenshan (author), Liu, Yang (author), Ye, H. (author), Zhang, Kouchi (author)

Nano copper sintering technology has great potential to be widely applied in the wide-bandgap semiconductor packaging. In order to investigate the coalescence kinetics of copper nano particles for this application, a molecular dynamic (MD) simulation was carried out at low temperature on a special model containing two substrate and multiple...

journal article 2022

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Aqueous chemoenzymatic one-pot enantioselective synthesis of tertiary α-aryl cycloketonesviaPd-catalyzed C-C formation and enzymatic C=C asymmetric hydrogenation

Luan, Pengqian (author), Liu, Yunting (author), Li, Yongxing (author), Chen, Ran (author), Huang, Chen (author), Gao, Jing (author), Hollmann, F. (author), Jiang, Yanjun (author)

An aqueous chemoenzymatic cascade reaction combining Pd-catalyzed C-C formation and enzymatic C=C asymmetric hydrogenation (AH) was developed for enantioselective synthesis of tertiary α-aryl cycloketones in good yields and excellent enantioselectivities. The stereopreference of the enzyme in AH of α-aryl cyclohexenones was studied. An...

journal article 2021

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Resilience assessment of asphalt pavement rutting under climate change

Zhang, Chao (author), Tan, Yiqiu (author), Gao, Y. (author), Fu, Yongkang (author), Li, Jilu (author), Li, Shuai (author), Zhou, Xingye (author)

The service performances of asphalt pavement, especially rutting, will be inevitably affected by climate change. However, existing studies have generally focused on the rutting depth and rutting life, and thus became insufficient for comprehensively evaluating the influence of climate change on rutting over the service life. A resilience...

journal article 2022

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Research on Design and Performance of Self-Compacting Cement Emulsified Bitumen Mixture (CEBM)

Yi, Jinming (author), Feng, Jianlin (author), Li, Yuanyuan (author), Bai, Tao (author), Chen, Anqi (author), Gao, Y. (author), Wu, Fan (author), Wu, Shaopeng (author), Liu, Quantao (author), Li, Chuangmin (author)

To meet the needs of the road industry for maintenance operations, a new cement emulsified bitumen mixture (CEBM) with early-strength, self-compacting, and room-temperature construction characteristics was designed. The strength formation mechanism of CEBM was revealed with a scanning electron microscope (SEM) and the surface free energy (SFE...

journal article 2022

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Effect of pretreated cow dung fiber on rheological and fatigue properties of asphalt binder

Niu, D. (author), Zhang, Zhao (author), Gao, Y. (author), Li, Yuanxiao (author), Yang, Zhengxian (author), Niu, Yanhui (author)

Cow dung waste has caused severe environmental pollution and public health issues in China. In this study, the cow dung residues were used as a cheap renewable fiber to modify asphalt binder, providing a new solution for the proper disposal of cow dung waste. Three cow dung fibers with two lengths were prepared using different treatments,...

journal article 2023

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A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform

Zhou, J. (author), Menenti, M. (author), Jia, Li (author), Gao, Bo (author), Zhao, Feng (author), Cui, Yilin (author), Xiong, Xuqian (author), Liu, Xuan (author), Li, Dengchao (author)

Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to use gap-filled remote sensing products with time series reconstruction (TSR) algorithms. Applying currently available implementations of TSR to large-volume...

journal article 2023

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Investigation on the technical performance and workability of hot-melting road marking materials using for the high-altitude area

Lu, Jing (author), Zhang, Min (author), Feng, Jianlin (author), Gao, Y. (author), Yang, Ye (author), Li, Yuanyuan (author), Li, Linglin (author)

The special environment conditions in high altitude areas leads to serious cracking and peeling of road hot-melt marking coatings. In order to improve the durability of marking paint, a durable hot-melt marking paint was designed by modifying the paint with toughening-agent, rheological agent, and anti-aging agent. The modification mechanism...

journal article 2023

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Effects of SiC content on the mechanical and thermophysical properties of 3D C_f/SiC–Al composites

Jia, Jinhao (author), Li, Cong (author), Chen, Qiang (author), Bai, Shuxin (author), Chang, J. (author), Xiong, Degan (author), Gao, Mingqi (author), Li, Shun (author), Xiao, Jin (author)

3D C_f/SiC–Al composites were achieved through the pressure infiltration of liquid Al–Si alloy into porous 3D C_f/SiC preform, which was produced by different cycles of precursor infiltration and pyrolysis. The effect of silicon carbide volume fraction on the microstructure, anisotropic mechanical response, and...

journal article 2022

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Shear-slip behaviour of prefabricated composite shear stud connectors in composite bridges

Gao, Yanmei (author), Li, Chengjun (author), Wang, Xuefei (author), Zhou, Zhixiang (author), Fan, Liang (author), Heng, J. (author)

This paper has investigated the shear-slip behaviour of an innovative prefabricated composite shear stud (PCSS) connector and its application in the prefabricated steel–concrete composite bridges. A series of push-out tests are carried out on a total of 12 specimens, including 6 PCSS specimens and 6 conventional shear stud (CSS) specimens....

journal article 2021

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Strength formation mechanism and performance of steel slag self-compacting epoxy resin concrete

Li, Yuanyuan (author), Li, Jun (author), Li, Chao (author), Chen, Anqi (author), Bai, Tao (author), Tang, Shimin (author), Wu, Shaopeng (author), Gao, Y. (author), Zhu, Hongbin (author), Feng, Jianlin (author)

A self-compacting steel slag epoxy resin concrete (SERC) was designed with steel slag as aggregate and epoxy resin as binder for rapid repair of road expansion joints and pavement. At the same time, a group of self-compacting basalt epoxy resin concrete (BERC) with basalt as coarse aggregate and limestone as fine aggregate was set up as the...

journal article 2022

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Wastewater-based epidemiology predicts COVID-19-induced weekly new hospital admissions in over 150 USA counties

Li, Xuan (author), Liu, Huan (author), Gao, Li (author), Sherchan, Samendra P. (author), Zhou, Ting (author), Khan, Stuart J. (author), van Loosdrecht, Mark C.M. (author), Wang, Qilin (author)

Although the coronavirus disease (COVID-19) emergency status is easing, the COVID-19 pandemic continues to affect healthcare systems globally. It is crucial to have a reliable and population-wide prediction tool for estimating COVID-19-induced hospital admissions. We evaluated the feasibility of using wastewater-based epidemiology (WBE) to...

journal article 2023

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HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators

Li, Siyue (author), Zhou, Shize (author), Xue, Yongqi (author), Fan, Wenjie (author), Cheng, Tong (author), Ji, Jinlun (author), Dai, Chenyang (author), Song, Wenqing (author), Gao, C. (author)

Network-on-Chip (NoC) is a scalable on-chip communication architecture for the NN accelerator, but with the increase in the number of nodes, the communication delay becomes higher. Applications such as machine learning have a certain resilience to noisy/erroneous transmitted data. Therefore, approximate communication becomes a promising solution...

journal article 2024

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Mnemosyne: Privacy-Preserving Ride Matching With Collusion-Resistant Driver Exclusion

Li, Meng (author), Gao, Jianbo (author), Zhu, Liehuang (author), Zhang, Zijian (author), Lal, C. (author), Conti, M. (author), Alazab, Mamoun (author)

Ride-Hailing Service (RHS) has drawn plenty of attention as it provides transportation convenience for riders and financial incentives for drivers. Despite these benefits, riders risk the exposure of sensitive location data during ride requesting to an untrusted Ride-Hailing Service Provider (RHSP). Our motivation arises from repetitive...

journal article 2022

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Carbon-Iron Electron Transport Channels in Porphyrin–Graphene Complex for ppb-Level Room Temperature NO Gas Sensing

Gao, Yixun (author), Wang, Jianqiang (author), Feng, Yancong (author), Cao, Nengjie (author), Li, Hao (author), de Rooij, Nicolaas Frans (author), Umar, Ahmad (author), French, P.J. (author), Wang, Yao (author), Zhou, Guofu (author)

It is a great challenge to develop efficient room-temperature sensing materials and sensors for nitric oxide (NO) gas, which is a biomarker molecule used in the monitoring of inflammatory respiratory diseases. Herein, Hemin (Fe (III)-protoporphyrin IX) is introduced into the nitrogen-doped reduced graphene oxide (N-rGO) to obtain a novel...

journal article 2022

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Microwave heating mechanism and Self-healing performance of scrap tire pyrolysis carbon black modified bitumen

Wang, Fu (author), Zhu, Hongbin (author), Li, Yuanyuan (author), Gu, Dengjun (author), Gao, Y. (author), Feng, Jianlin (author), Shu, Benan (author), Li, Chao (author), Wu, Shaopeng (author)

Conventional asphalt mixture has poor microwave absorbing performance and microwave heating efficiency. Based on the characteristics of dielectric loss of scrap tire pyrolysis carbon black (PCB), it is proposed to improve the microwave absorbing performance and self-healing rate of bitumen. The phase composition and electromagnetic parameters...

journal article 2022

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Estimating loss of life caused by dam breaches based on the simulation of floods routing and evacuation potential of population at risk

Ge, Wei (author), Jiao, Yutie (author), Wu, Meimei (author), Li, Zongkun (author), Wang, Te (author), Li, Wei (author), Zhang, Yadong (author), Gao, Weixing (author), van Gelder, P.H.A.J.M. (author)

Dam breaches often have catastrophic consequences in downstream areas. Hydrodynamic factors and the evacuation potential of the population at risk (PAR) have significant impacts on the loss of life (LOL) caused by dam breaches. However, the existing comprehensive evaluation models have not conducted in-depth research on the evacuation...

journal article 2022

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Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving

Yang, Fan (author), Li, Xueyuan (author), Liu, Qi (author), Li, Z. (author), Gao, Xin (author)

In the autonomous driving process, the decision-making system is mainly used to provide macro-control instructions based on the information captured by the sensing system. Learning-based algorithms have apparent advantages in information processing and understanding for an increasingly complex driving environment. To incorporate the...

journal article 2022

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Multi-Agent Decision-Making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning

Gao, Xin (author), Li, Xueyuan (author), Liu, Qi (author), Li, Z. (author), Yang, Fan (author), Luan, Tian (author)

As one of the main elements of reinforcement learning, the design of the reward function is often not given enough attention when reinforcement learning is used in concrete applications, which leads to unsatisfactory performances. In this study, a reward function matrix is proposed for training various decision-making modes with emphasis on...

journal article 2022