Publications

2024

Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning
Chen, Sijia and Su, Ningxin and Li, Baochun
ICDCS Code
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
Chen, Sijia and Li, Baochun
ICML Code
Relic: Federated Conditional Textual Inversion with Prototype Alignment
Chen, Sijia and Su, Ningxin and Li, Baochun
IWQoS Code
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
Chen, Sijia and Li, Baochun and Niu, Di
ICLR Code

2023

Language-guided diffusion model for visual grounding
Chen, Sijia and Li, Baochun
Arxiv Code

2022

Multi-modal Dynamic Graph Transformer for Visual Grounding
Chen, Sijia and Li, Baochun
CVPR Code
Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending
Chen, Sijia and Li, Baochun
INFOCOM Code

2020

Structured Bayesian Compression for Deep Models in Mobile-enabled Devices for Connected Healthcare
Chen, Sijia and Song, Bin and Du, Xiaojiang and Guizani, Nadra
IEEE Network

2019

Multi-modal Data Semantic Localization with Relationship Dependencies for Efficient Signal Processing in EH CRNs
Chen, Sijia and Song, Bin and Fan, Luhai and Du, Xiaojiang and Guizani, Mohsen
IEEE TCCN

2018

FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval
Chen, Sijia and Song, Bin and Guo, Jie and Zhang, Yanling and Du, Xiaojiang and Guizani, Mohsen
Computer Networks
Attention Alignment Multimodal LSTM for Fine-gained Common Space Learning
Chen, Sijia and Song, Bin and Guo, Jie
IEEE Access

2017

An Unbalanced Data Hybrid-Sampling Algorithm Based on Multi-Information Fusion
Chen, Sijia and Song, Bin and Guo, Jie and Du, Xiaojiang
GLOBECOM