About

I am a fifth-year Ph.D. Candidate in the department of Electrical and Computer Engineering (ECE) at the University of Illinois at Urbana-Champaign (UIUC).

Research Interests

Machine Learning, Computer Vision, Natural Language Processing, Multimodal Learning, Generative Modeling, Foundation Models.

Current and Past Affiliations

UIUC 2019-Now	Microsoft Fall 2023	Amazon Summer-Fall 2022, Summer 2023	IBM Watson Summer 2020

C3SR 2019-2021	UCLA Summer 2018	Technion Summer 2017	UESTC 2015-2019

Projects

	Federated Recommendation via Hybrid Retrieval Augmented Generation Huimin Zeng, Zhenrui Yue, Qian Jiang, Dong Wang Under Review ACL 24 PDF
	When Noises Help: Improve Text-Image Multimodal Contrastive Learning with Stochastic Label Augmentations Qian Jiang, Jingjing Meng, Alireza Bagheri Garakani, Yang Jiao, Yetian Chen, Yikai Ni, Yan Gao, Yi Sun, Changyou Chen Under Review ACL 24 PDF
	When Contrastive Learning Meets Bayesian Modeling: Learning Multi-Modal Representation Alignments with Noisy Data-Pairs Qian Jiang, Jingjing Meng, Alireza Bagheri Garakani, Yang Jiao, Yetian Chen, Yikai Ni, Yan Gao, Yi Sun, Changyou Chen Under Review ACL 24 PDF
	Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi CVPR 2023 PDF
	EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search Qian Jiang*, Xiaofan Zhang*, Deming Chen, Minh N. Do, Raymond A. Yeh ICML Workshop on Differentiable Almost Everything (Under Review IEEE TNNLS) 2023 PDF Code
	Multi-source transfer learning by learning to weight past tasks Qian Jiang, Raymond A. Yeh, Minh N. Do. Under Review IEEE TNNLS, Dec 2022

Work Experiences

• Research Intern @ Microsoft (Fall 2023)
• Applied Scientist Intern @ Amazon (Summer 2023)
• Applied Scientist Intern @ Amazon (Summer Fall 2022)
• Research Intern @ IBM Watson (Summer 2020)

Teaching Experiences

• ECE311 - Digital Signal Processing Lab @UIUC (Spring 2022)
• ECE310 - Digital Signal Processing @UIUC (Fall 2021)

Other Experiences

• Cross-disciplinary Scholar in Science and Technology (CSST) @ Univesity of California, Los Angeles (UCLA) (Summer 2018)
• Summer School of Engineering @ Israel Institute of Technology (Technion) (Summer 2017)

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• Pass my Preliminary Examination for Ph.D. final defense.
• Start my internship at Microsoft DeepSpeed.
• Our paper EH-DNAS: End-to-end hardware-aware differentiable neural architecture search is accepted to ICML 2023 Workshop on Differentiable Almost Everything..
• Start my internship at Amazon Search International ML.
• Our paper Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning is accepted to CVPR 2023.
• Start my internship at Amazon Search M5.
• We open source code for our paper EH-DNAS: End-to-end hardware-aware differentiable neural architecture search.
• Pass my Qualifying Examination for the Ph.D. candidacy.
• Start my internship at IBM Watson.
• Start Ph.D. program at UIUC.