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Chang Liu

Tracing Halpha Fibrils through Bayesian Deep Learning


Jul 16, 2021
Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang

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* 20 pages, 12 figures 
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On the Generative Utility of Cyclic Conditionals


Jun 30, 2021
Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu

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A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)


Jun 25, 2021
Tianle Yue, Hang Yang, Zongliang Du, Chang Liu, Khalil I. Elkhodary, Shan Tang, Xu Guo

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Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks


Jun 24, 2021
Xianlong Zeng, Simon Lin, Chang Liu

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Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods


Jun 24, 2021
Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu

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Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis


Jun 23, 2021
Xianlong Zeng, Simon Lin, Chang Liu


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Sampling with Mirrored Stein Operators


Jun 23, 2021
Jiaxin Shi, Chang Liu, Lester Mackey

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* 23 pages 
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Light Pollution Reduction in Nighttime Photography


Jun 18, 2021
Chang Liu, Xiaolin Wu

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* 8 pages 
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PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior


Jun 11, 2021
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

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* 16 pages, 5 figures, 7 tables. Audio samples: https://speechresearch.github.io/priorgrad/ 
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Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography


Jun 05, 2021
Jingjing Si, Guoliang Li, Yinbo Cheng, Rui Zhang, Godwin Enemali, Chang Liu

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* Submitted to IEEE Transactions on Instrumentation and Measurement 
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Learning to Route via Theory-Guided Residual Network


May 26, 2021
Chang Liu, Guanjie Zheng, Zhenhui Li

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Underwater Target Recognition based on Multi-Decision LOFAR Spectrum Enhancement: A Deep Learning Approach


Apr 26, 2021
Jie Chen, Jie Liu, Chang Liu, Jian Zhang, Bing Han

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Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications


Apr 26, 2021
Chang Liu, Xuemeng Liu, Zhiqiang Wei, Shaokang Hu, Derrick Wing Kwan Ng, Jinhong Yuan

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Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning


Apr 19, 2021
Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu

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* 10 pages, 2 figures 
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Noise-resistant Deep Metric Learning with Ranking-based Instance Selection


Apr 12, 2021
Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

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* Accepted by CVPR 2021 
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Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning


Apr 06, 2021
Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye

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Learning to Simulate on Sparse Trajectory Data


Mar 22, 2021
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li

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* Accepted by ECML-PKDD 2020, Best Applied Data Science Paper. 16 pages, 6 figures 
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AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision


Mar 22, 2021
Chang Liu, Xiaojuan Qi, Edmund Lam, Ngai Wong

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* 10 pages, 6 figures 
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Ternary Hashing


Mar 19, 2021
Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang

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Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots


Mar 17, 2021
Juntao Li, Chang Liu, Chongyang Tao, Zhangming Chan, Dongyan Zhao, Min Zhang, Rui Yan

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* Accepted by ACM Transactions on Information Systems, 25 pages, 2 figures, 9 tables 
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Generalizing to Unseen Domains: A Survey on Domain Generalization


Mar 10, 2021
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin

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* Technical report 
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Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection


Mar 10, 2021
Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye

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* This paper has been modified by the author due to errors 
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LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management


Mar 06, 2021
Jeremy Beauchamp, Razvan Bunescu, Cindy Marling, Zhongen Li, Chang Liu

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Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation


Mar 05, 2021
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

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* Accepted at AAAI 2021 
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Learning Invariant Representations across Domains and Tasks


Mar 03, 2021
Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu

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* Technical report, 12 pages 
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