Practical Block-wise Neural Network Architecture Generation

Convolutional neural networks have gained a remarkable success in computer vision. However, most usable network architectures are hand-crafted and usually require expertise and elaborate design. In this paper, we provide a block-wise network generation pipeline called BlockQNN which automatically builds high-performance networks using the Q-Learning paradigm with epsilon-greedy exploration strategy. The optimal network block is constructed by the learning agent which is trained sequentially to choose component layers. We stack the block to construct the whole auto-generated network. To accelerate the generation process, we also propose a distributed asynchronous framework and an early stop strategy. The block-wise generation brings unique advantages: (1) it performs competitive results in comparison to the hand-crafted state-of-the-art networks on image classification, additionally, the best network generated by BlockQNN achieves 3.54% top-1 error rate on CIFAR-10 which beats all existing auto-generate networks. (2) in the meanwhile, it offers tremendous reduction of the search space in designing networks which only spends 3 days with 32 GPUs, and (3) moreover, it has strong generalizability that the network built on CIFAR also performs well on a larger-scale ImageNet dataset.Comment: Accepted to CVPR 201

ODI and Home Country's Industrial Upgrading: Mechanism and preliminary evidence

Both the outward direct investment (ODI) from emerging market economies and industrial upgrading are new topics in economic research. Most research on these two topics has been done separately so far. China's emergence as a major ODI nation and urgent requirement for domestic industrial upgrading are increasingly bringing these together. With the hypothesis of the causal connection between the ODI and industrial upgrading, this paper tries to clarify the channel and mechanism that ODI spreads in terms of its effect on home countries' industries and to identify related evidence with a way of bringing knowledge in three research fields together: a) the historical experience of the ODI Pioneering countries; b) clues found from existing research and cases at sector level; c) evidence from China. Research shows that there are clear upgrading effects of the ODI in US and Japan's history when they emerged as ODI nations although they took different patterns. The pattern taken by the US was featured with efficiency priority, while that of Japan does so with structural adjustment priority. The mechanism and channels through which the ODI imposes effects on home industries' upgrading in China are more extensive than that of pioneer industrial countries. Besides, the empirical work done with the typical regions and typical industrial sectors gives clear support on the upgrading effects hypothesis in China.

Interactions of Bargaining Power and Introduction of Online Channel in Two Competing Supply Chains

This paper studies the effect of dual-channel format on supply chain’s competition ability and the effect of different bargaining powers on the competition between two supply chains and the optimal pricing decisions of all supply chain members when one supply chain introduces an online retailing channel. We develop four game models and obtain the optimal pricing decisions in closed form of these models and give some sensitivity analysis through numerical approach. Some new managerial insights are obtained as follows: Regardless of the two supply chain members’ bargaining forms, the optimal price, the maximal demand, and the maximal profit decrease as the self-price sensitivity decreases. The industry holds advantage in getting higher profit when the supply chain without online retailing channel is led by the retailer. In addition, we find that a manufacturer as a leader of its supply chain can get more profit when the competing supply chain’s leader is the manufacturer than when the competing supply chain’s leader is the retailer

Terahertz imaging with sub-wavelength resolution by femtosecond laser filament in air

Terahertz (THz) imaging provides cutting edge technique in biology, medical sciences and non-destructive evaluation. However, due to the long wavelength of the THz wave, the obtained resolution of THz imaging is normally a few hundred microns and is much lower than that of the traditional optical imaging. We introduce a sub-wavelength resolution THz imaging technique which uses the THz radiation generated by a femtosecond laser filament in air as the probe. This method is based on the fact that the femtosecond laser filament forms a waveguide for the THz wave in air. The diameter of the THz beam, which propagates inside the filament, varies from 20 {\mu}m to 50 {\mu}m, which is significantly smaller than the wavelength of the THz wave. Using this highly spatially confined THz beam as the probe, THz imaging with resolution as high as 20 {\mu}m (~{\lambda}/38) can be realized.Comment: 10 pages, 7 figure