Portrait of Dongsheng Li

Dongsheng Li

Principal Research Manager

News & features

Three white line icons on a blue-to-purple gradient background: the first icon shows a simple flowchart with connected squares and a diamond, the second icon depicts a network of interconnected circles, and the third icon represents a social connection diagram with three user profile symbols linked together.
Microsoft Research Blog

| Xufang Luo, Yuge Zhang, Zhiyuan He, Zilong Wang, Dongsheng Li, Luna K. Qiu, and Yuqing Yang

By decoupling how agents work from how they’re trained, Agent Lightning turns each step an agent takes into data for reinforcement learning. This makes it easy for developers to improve agent performance with almost zero code changes.

Research Focus -- Week of March 24
Microsoft Research Blog

In this issue, we examine a new conversation segmentation method that delivers more coherent and personalized agent conversation, and we review efforts to improve MLLMs’ understanding of geologic maps. Check out the latest research and other updates.

Diagram illustrating four common neural connectivity patterns in the biological neural networks: Feedforward, Mutual, Lateral, and Feedback. Each pattern consists of circles representing neurons and arrows representing synapses. 
Microsoft Research Blog

| Dongsheng Li, Dongqi Han, and Yansen Wang

Researchers and their collaborators are drawing inspiration from the brain to develop more sustainable AI models. Projects like CircuitNet and CPG-PE improve performance and energy efficiency by mimicking the brain's neural patterns.

Decorative graphic with wavy shapes in the background in blues and purples. Text overlay in center left reads: “Research Focus: August 26, 2024”
Microsoft Research Blog

Learn what’s next for AI at Research Forum on Sept. 3;  WizardArena simulates human-annotated chatbot games; MInference speeds pre-filling for long-context LLMs via dynamic sparse attention; Reef: Fast succinct non-interactive zero-knowledge regex proofs.

First page of the "Learning Hierarchical Prompt with Structured Linguistic Knowledge for Language Models" publication to the right of the AAAI conference on a blue and purple gradient background
Microsoft Research Blog

| Xinyang Jiang, Yubin Wang, Dongsheng Li, and Cairong Zhao

Using LLMs to create structured graphs of image descriptors can enhance the images generated by visual language models. Learn how structured knowledge can improve prompt tuning for both visual and language comprehension.

A lightbulb-shaped image, set against a background that represents computer circuitry, is divided into seven sections, with a small research-related icon in each section. Moving clockwise from upper right to upper left, the seven icons are a set of scales, a padlock, a badge, two hands clasped in a handshake, a human brain, a group of three people, and a human eye.
Microsoft Research Blog

| Shun Zheng, Jiang Bian, Tie-Yan Liu, Li Zhao, Tao Qin, Yue Wang, Dongsheng Li, Yuqing Yang, and Xufang Luo

ICLR (International Conference on Learning Representations) (opens in new tab) is recognized as one of the top conferences in the field of deep learning. Many influential papers on artificial intelligence, statistics, and data science—as well as important application fields such…