Xili Dai

Xili(Daley) Dai

daixili_cs AT 163.com; daixili.cs AT gmail.com

I am a Ph.D. student in HKUST(GZ), advised by Prof.Yi Ma of UC Berkeley, Prof. Harry Shum (former vice president of Microsoft) and Prof. Lionel Ni (president of HKUST-gz) of HKUST(GZ). My research interests lying on the intersection among closed loop transcription via rate reduction, 3D vision, sparse coding, and dictionary learning. My recent research focuses on 3D reconstruction via closed loop rate reduction.

Google Scholar / Github

Selected Publication (* means equal contribution)

	Bifrost: 3D-Aware Image compositing with Language Instructions Lingxiao Li, Kaixiong Gong, Weihong Li, Tao Chen, Xili Dai, Xiaojun Yuan, Xiangyu Yue NeurIPS 2024 [code] [paper]
	Ctrl123: Consistent Novel View Synthesis via Closed-Loop Transcription Hongxiang Zhao, Xili Dai, Jianan Wang, Shengbang Tong, Jingyuan Zhang, Weida Wang, Lei Zhang, Yi Ma Submitted 2024 [code] [paper]
	Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Liqiang Nie, Heng-Tao Shen IEEE Transactions on Multimedia 2024 [code] [paper]
	Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, Rene Vidal, Yi Ma ICLR 2024 [code] [paper]
	Unsupervised Learning of Structured Representation via Closed-Loop Transcription Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann Lecun, Yi Ma CPAL 2024 [code] [paper]
	Closed-Loop Transcription Via Convolutional Sparse Coding Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung Yeung Shum, Lionel M.Ni, Yi Ma CPAL 2024 [code] [paper]
	Incremental Learning of Structured Memory via Closed-Loop Transcription Peter(Shengbang) Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma ICLR 2023 [code] [paper]
	Unsupervised Manifold Linearizing and Clustering Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin David Haeffele ICCV 2023 [code] [paper]
	Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai, Mingyang Li, Pengyuan Zhai, Peter(Shengbang) Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma NeurIPS 2022 [code] [paper]
	Deep Metric Learning with Meta-Mining Strategy With Semiglobal Information Xiruo Jiang, Sheng Liu, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guo-Sen Xie, Ling Shao IEEE Transactions on Neural Networks and Learning Systems 2022 [code] [paper]
	Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai, Peter(Shengbang) Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung Yeung Shum, Yi Ma Entropy Journal 2022 [code] [paper]
	Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan WACV 2022 [code] [paper]
	Fully Convolutional Line Parsing Xili Dai, Haigang Gong, Shuai Wu, Xiaojun, Yuan, Yi Ma NeuroComputing 2022 [code] [paper]
	HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma [code] [paper] [Project Page]
	Understanding pictograph with facial features: End-to-end sentence-level lip reading of chinese Xiaobing Zhang, Haigang Gong, Xili Dai, Fan Yang, Nianbo Liu, Ming Liu AAAI 2019 [paper]
	DrivingSense: Dangerous Driving Behavior Identification Based on Smartphone Autocalibration Chunmei Ma, Xili Dai, Jinqi Zhu, Nianbo Liu, Huazhi Sun, Ming Liu Mobile Information System 2017 [paper]