My name is Dian Ding, I received the Ph.D in School of Computer Science at Shanghai Jiao Tong University in 2023, under the supervision of Prof. Guangtao Xue and Assoc. Prof. Yi-Chao Chen. I am currently a postdoctoral researcher in School of Computer Science and Engineering at Shanghai Jiao Tong University.
My research focuses on intelligent sensing and computing systems, spanning applications in smart homes, digital healthcare, and ubiquitous computing. I develop multimodal sensing and computing systems based on radio-frequency (RF), acoustic, and visual signals, and explore advanced AI techniques, including 3D Gaussian Splatting (3DGS), diffusion models, and large language models (LLMs), to enable robust perception, representation learning, and decision-making in complex environments.
Acoustic: Directional Speaker (MuDis MobiCom'24), Spot Speaker (VISAR IMWUT'24), Signal Compression (AuCom TMC'25), Lip Reading (M2Silent CHI'25), Tracking (SwiftTrack TON'24)
Capacitance: Human-body Communication (TouchHBC UbiComp'24/TMC'25), Device Recogniton (LeakThief SECON'23/TMC'25), Hand Gesture (HandPad UIST'24/UbiComp'24), User Identification (LeakPrint IMWUT'21)
RF Signal: BLE Locolization (Bridge MobiCom'25), BLE Attack (SADIF MobiHoc'25), mmWave Imaging (MMID MobiSys'25)
Visual: Super Resolution (M3Cam SenSys'24), Depth Estimation (MODepth Siggraph Asia'25)
Healthcare: MRI/CT Image (Super Resolution BIBM'25), ECG (Pacemaker Recognition-STELLAR BIBM'25), Bowel Sound (Denoise ICML'26, Diagnosis (ongoing))
LLM: KV Cache (Sparsity-AnchorAttention EMNLP'25, Quant (ongoing)), MLLM Training and Inference (ongoing)