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Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning


Oct 18, 2021
Rodolfo S. M. Freitas, Ágatha P. F. Lima, Cheng Chen, Fernando A. Rochinha, Daniel Mira, Xi Jiang

* 22 pages, 13 figures 

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bert2BERT: Towards Reusable Pretrained Language Models


Oct 14, 2021
Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu


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Finding Second-Order Stationary Point for Nonconvex-Strongly-Concave Minimax Problem


Oct 10, 2021
Luo Luo, Cheng Chen


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Improving Punctuation Restoration for Speech Transcripts via External Data


Oct 01, 2021
Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver

* Accepted by W-NUT at EMNLP 2021 

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Assisted Learning for Organizations with Limited Data


Sep 21, 2021
Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou

* 16 pages, 18 figures 

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Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling


Sep 19, 2021
Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng

* Accepted to MICCAI 2021 

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Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack


Sep 06, 2021
Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang


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Interference Mitigation using Optimized Angle Diversity Receiver in LiFi Cellular network


Aug 13, 2021
Zhihong Zeng, Mohammad Dehghani Soltani, Cheng Chen, Majid Safari, Harald Haas

* 30 pages, 16 figures, journal 

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AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models


Jul 29, 2021
Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

* ACL 2021. The code and models are released at https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/AutoTinyBERT 

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MOTR: End-to-End Multiple-Object Tracking with TRansformer


May 07, 2021
Fangao Zeng, Bin Dong, Tiancai Wang, Cheng Chen, Xiangyu Zhang, Yichen Wei

* Tech Report. Code is available at https://github.com/megvii-model/MOTR 

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Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation


Apr 24, 2021
Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu


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Temporal Memory Relation Network for Workflow Recognition from Surgical Video


Mar 30, 2021
Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng

* Accepted at IEEE Transactions on Medical Imaging (IEEE TMI); Code is available at https://github.com/YuemingJin/TMRNet 

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Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing


Mar 30, 2021
Cheng Chen, Bhavya Kailkhura, Ryan Goldhahn, Yi Zhou

* 9 pages, 12 figures 

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FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space


Mar 10, 2021
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng

* Accepted to CVPR 2021 

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Computation Resource Allocation Solution in Recommender Systems


Mar 03, 2021
Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu


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MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN


Feb 16, 2021
Zuohui Chen, Qing Yuan, Xujie Song, Cheng Chen, Dan Zhang, Yun Xiang, Ruigang Liu, Qi Xuan


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C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling


Dec 13, 2020
Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu

* Accepted by AAAI-2021 

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Neural Rate Control for Video Encoding using Imitation Learning


Dec 09, 2020
Hongzi Mao, Chenjie Gu, Miaosen Wang, Angie Chen, Nevena Lazic, Nir Levine, Derek Pang, Rene Claus, Marisabel Hechtman, Ching-Han Chiang, Cheng Chen, Jingning Han


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Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study


Nov 13, 2020
Cheng Chen, Junjie Yang, Yi Zhou

* 9 pages, 16 figures, this paper has been accepted as a short paper by the conference of IEEE-bigdata-2020 

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Efficient Projection-Free Algorithms for Saddle Point Problems


Oct 21, 2020
Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu


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Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning


Oct 05, 2020
Cheng Chen, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini

* 15 pages, 12 figures 

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FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling


Sep 22, 2020
Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura

* 10 pages, 6 figures 

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FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding


Sep 17, 2020
Yutai Hou, Jiafeng Mao, Yongkui Lai, Cheng Chen, Wanxiang Che, Zhigang Chen, Ting Liu

* Code and dataset is available at: https://github.com/AtmaHou/MetaDialog 

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Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices


Sep 05, 2020
Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye


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Learning Directional Feature Maps for Cardiac MRI Segmentation


Jul 22, 2020
Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu

* Accepted by MICCAI2020 

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Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency


Mar 14, 2020
Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu


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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion


Feb 22, 2020
Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng

* MICCAI 2019 

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Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation


Feb 06, 2020
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng Ann Heng

* IEEE TMI 

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A Stochastic Proximal Point Algorithm for Saddle-Point Problems


Sep 13, 2019
Luo Luo, Cheng Chen, Yujun Li, Guangzeng Xie, Zhihua Zhang


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Multi-Instance Multi-Scale CNN for Medical Image Classification


Jul 31, 2019
Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh

* Accepted by MICCAI 2019 

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