Resarch

I’m interested in machine learning systems, with a particular emphasis on efficient AI computing. My focus areas include:

• Generative AI
• Spatial-Temporal Analysis
• Decision-Making Problems

I’m looking for research collaborations; feel free to email me!

Preprints and Publications

TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
Jian Qian, Bingyu Xie, Biao Wan, Minhao Li, Miao Sun, Patrick Yin Chiang

arXiv, 2024

arXiv  /  Code

Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation
Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun, Patrick Yin Chiang

ECAI, 2024

Paper  /  arXiv  /  Code

dToF LIDAR System Using Addressable Multi-Channel VCSEL Transmitter, 128x80 SPAD Sensor, and ML-Based Object Detection for Adaptive Beam-Steering
Yifan Wu, Sifan Zhou, Miao Sun, Tao Xia, Jian Qian, Lei Wang, Shi Shi, Lebei Cui, Chill Wang, Yuan Li, Hengwei Yu, Zhihong Lin, Lei Qiu, Yajie Qin, Min Sun, Rui Bai, Xuefeng Chen, Patrick Yin Chiang, Shenglong Zhuo

CICC, 2023

Paper

A 40nm 2TOPS/W Depth-Completion Neural Network Accelerator SoC With Efficient Depth Engine for Realtime LiDAR Systems
Miao Sun, Yingjie Cao, Jian Qian, Jie Li, Sifan Zhou, Ziyu Zhao, Yifan Wu, Tao Xia, Yajie Qin, Lei Qiu, Shunli Ma, Patrick Yin Chiang, Shenglong Zhuo

IEEE TCSII, 2023

Paper

SDformer: Efficient End-to-End Transformer for Depth Completion
Jian Qian, Miao Sun, Ashley Lee, Jie Li, Shenglong Zhuo, Patrick Yin Chiang

IARCE, 2022

Paper  /  arXiv  /  Code