We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in
several aspects. The language is human-written and less noisy. The dialogues in the dataset …

Distributed word representations are very useful for capturing semantic information and have
been successfully applied in a variety of NLP tasks, especially on English. In this work, we …

Recycling of spent lithium-ion batteries (LIBs) is an urgent need to address their environmental
and global sustainability issues. Here, we report an efficient and environmentally benign …

Microbial biosynthesis of plant natural products from simple building blocks is a promising
approach toward scalable production and modification of high-value compounds. The …

Although Generative Adversarial Networks achieve state-of-the-art results on a variety of
generative tasks, they are regarded as highly unstable and prone to miss modes. We argue that …

Despite the successes in capturing continuous distributions, the application of generative
adversarial networks (GANs) to discrete settings, like natural language tasks, is rather restricted…

Phytochemicals are of great pharmaceutical and agricultural importance, but often exhibit
low abundance in nature. Recent demonstrations of industrial-scale production of …

Humans can clearly perceive surroundings efficiently while consuming little energy because
of human intelligence and powerful vision system. Thus, it has been a long‐sought dream …

Strigolactones (SLs) are a class of phytohormones playing diverse roles in plant growth and
development, yet the limited access to SLs is largely impeding SL-based foundational …

Three-dimensional (3D) microfibrillar network represents an important structural design for
various natural tissues and synthetic aerogels. Despite extensive efforts, achieving high …