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Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph

Jan 05, 2021
Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki

* 9 pages. Accepted by WSDM 2021. Final version 

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On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search

Dec 02, 2020
Adam Hare, Yu Chen, Yinan Liu, Zhenming Liu, Christopher G. Brinton

* 13 pages, 6 figures 

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Deep reinforcement learning for RAN optimization and control

Nov 09, 2020
Yu Chen, Jie Chen, Ganesh Krishnamurthi, Huijing Yang, Huahui Wang, Wenjie Zhao

* 7 pages, 2 figures 

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Simple Neighborhood Representative Pre-processing Boosts Outlier Detectors

Oct 11, 2020
Jiawei Yang, Yu Chen

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On Efficient Constructions of Checkpoints

Sep 28, 2020
Yu Chen, Zhenming Liu, Bin Ren, Xin Jin

* International Conference on Machine Learning, 2020 

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CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions

Sep 14, 2020
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vazquez, German I. Parisi, Nikhil Churamani, Marc Pickett, Issam Laradji, Davide Maltoni

* Pre-print v1: 12 pages, 3 figures, 8 tables 

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Train Your Data Processor: Distribution-Aware and Error-Compensation Coordinate Decoding for Human Pose Estimation

Jul 17, 2020
Feiyu Yang, Zhan Song, Zhenzhong Xiao, Yu Chen, Zhe Pan, Min Zhang, Min Xue, Yaoyang Mo, Yao Zhang, Guoxiong Guan, Beibei Qian

* Improve the state-of-the-art of COCO keypoint detection challenge by 1-2 AP. Project page: 

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Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Jun 21, 2020
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 17 pages. arXiv admin note: text overlap with arXiv:1912.07832 

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Bypassing Gradients Re-Projection with Episodic Memories in Online Continual Learning

Jun 19, 2020
Yu Chen, Tom Diethe, Peter Flach

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Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN

Jun 09, 2020
Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu

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Minor Privacy Protection Through Real-time Video Processing at the Edge

May 03, 2020
Meng Yuan, Seyed Yahya Nikouei, Alem Fitwi, Yu Chen, Yunxi Dong

* Accepted by the 2nd International Workshop on Smart City Communication and Networking at the ICCCN 2020 

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Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks

Apr 13, 2020
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 12 pages 

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Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation

Apr 07, 2020
Yingqiu Zhu, Yu Chen, Danyang Huang, Bo Zhang, Hansheng Wang

* 10 pages, 5 figures 

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I-ViSE: Interactive Video Surveillance as an Edge Service using Unsupervised Feature Queries

Mar 09, 2020
Seyed Yahya Nikouei, Yu Chen, Alexander Aved, Erik Blasch

* R1 is under review by the IEEE Internet of Things Journal 

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Deform-GAN:An Unsupervised Learning Model for Deformable Registration

Feb 26, 2020
Xiaoyue Zhang, Weijian Jian, Yu Chen, Shihting Yang

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Simulation Pipeline for Traffic Evacuation in Urban Areas and Emergency Traffic Management Policy Improvements

Feb 14, 2020
Yu Chen, S. Yusef Shafi, Yi-fan Chen

* 37 pages, 9 figures 

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Multi-label Relation Modeling in Facial Action Units Detection

Feb 08, 2020
Xianpeng Ji, Yu Ding, Lincheng Li, Yu Chen, Changjie Fan

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To-sequence:Multi-label Relation Modeling in Facial Action Units Detection

Feb 04, 2020
Xianpeng Ji, Yu Ding, Lincheng Li, Yu Chen, Changjie Fan

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Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study

Jan 29, 2020
Yu Chen, Jun He

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Graph-Based Parallel Large Scale Structure from Motion

Dec 23, 2019
Yu Chen, Shuhan Shen, Yisong Chen, Guoping Wang

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Predicting Heart Failure Readmission from Clinical Notes Using Deep Learning

Dec 21, 2019
Xiong Liu, Yu Chen, Jay Bae, Hu Li, Joseph Johnston, Todd Sanger

* 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 
* IEEE BIBM 2019 

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Deep Iterative and Adaptive Learning for Graph Neural Networks

Dec 17, 2019
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 6 pages. Accepted at the AAAI 2020 Workshop on Deep Learning on Graphs: Methodologies and Applications (AAAI DLGMA 2020). Final Version 

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Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm

Dec 09, 2019
Murphy Yuezhen Niu, Vadim Smelyanskyi, Paul Klimov, Sergio Boixo, Rami Barends, Julian Kelly, Yu Chen, Kunal Arya, Brian Burkett, Dave Bacon, Zijun Chen, Ben Chiaro, Roberto Collins, Andrew Dunsworth, Brooks Foxen, Austin Fowler, Craig Gidney, Marissa Giustina, Rob Graff, Trent Huang, Evan Jeffrey, David Landhuis, Erik Lucero, Anthony Megrant, Josh Mutus, Xiao Mi, Ofer Naaman, Matthew Neeley, Charles Neill, Chris Quintana, Pedram Roushan, John M. Martinis, Hartmut Neven

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Bundle Adjustment Revisited

Dec 09, 2019
Yu Chen, Yisong Chen, Guoping Wang

* 9 pages, 9 figures 

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Fast and Incremental Loop Closure Detection Using Proximity Graphs

Nov 25, 2019
Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen

* 8 pages, 6 figures, IROS 2019 

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Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method

Oct 20, 2019
Yu Chen, Yuanyuan Yang, Yaochu Jin, Xiufen Zou

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Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model

Oct 19, 2019
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 4 pages. Accepted at the NeurIPS 2019 Workshop on Graph Representation Learning (NeurIPS GRL 2019). Final Version 

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Estimating Approximation Errors of Elitist Evolutionary Algorithms

Oct 06, 2019
Cong Wang, Yu Chen, Jun He, Chengwang Xie

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