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Xiang Chen

School of Information Science and Technology, Nantong University, China

A Deep Discontinuity-Preserving Image Registration Network


Jul 09, 2021
Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F Frangi

* Provisional accepted in MICCAI 2021 

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CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark


Jun 15, 2021
Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Xin Xie, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen


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CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning


Jun 11, 2021
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F Frangi


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Document-level Relation Extraction as Semantic Segmentation


Jun 07, 2021
Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen

* Accepted by IJCAI 2021 

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AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba


Jun 03, 2021
Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen

* Accepted by KDD 2021 (Applied Data Science Track) 

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Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining


Apr 25, 2021
Xiang Chen, Yufeng Huang, Lei Xu

* Accepted in CVPRW 2021 

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AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction


Apr 15, 2021
Xiang Chen, Xin Xie, Ningyu Zhang, Jiahuan Yan, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

* Work in progress 

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Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges


Apr 14, 2021
Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen

* 7 pages, 6 pages, accepted to IEEE Communications Magazine 

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Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction


Apr 11, 2021
Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen

* Work in progress 

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Disentangled Contrastive Learning for Learning Robust Textual Representations


Apr 11, 2021
Xiang Chen, Xin Xie, Zhen Bi, Hongbin Ye, Shumin Deng, Ningyu Zhang, Huajun Chen

* Work in progress 

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ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning


Feb 25, 2021
Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen

* SemEval-2021 Workshop, ACL-IJCNLP 2021 

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Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow


Feb 10, 2021
Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen

* 13 pages, 6 figures, accepted in ICSE'21: 43rd IEEE/ACM International Conference on Software Engineering 

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Design and Analysis of Uplink and Downlink Communications for Federated Learning


Dec 07, 2020
Sihui Zheng, Cong Shen, Xiang Chen

* Accepted to IEEE JSAC, Series on Machine Learning for Communications and Networks 

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Cross-Domain Sentiment Classification with In-Domain Contrastive Learning


Dec 05, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer

* 10pages, 2 figures, accepted to NeurIPS 2020 Workshop on Self-supervised Learning. arXiv admin note: text overlap with arXiv:2010.16088 

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Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction


Dec 01, 2020
Chen Qian, Yunhai Xiong, Xiang Chen


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Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks


Nov 22, 2020
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

* Presented in Third ArchEdge Workshop, Co-located with SEC'2020 

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Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization


Nov 12, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer

* 5 pages, 1 figure 

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Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization


Oct 30, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer


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Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography


Oct 27, 2020
Xiang Chen, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang

* 4 pages, 3 figure 

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Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training


Sep 09, 2020
Junxiang Wang, Zheng Chai, Xiang Chen, Liang Zhao

* ICML 2020 Workshop on "Beyond first-order methods in ML systems" 

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MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG


Aug 17, 2020
Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen


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Heterogeneous Federated Learning


Aug 15, 2020
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen


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AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency


Aug 14, 2020
Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen

* Accepted in DATE'2020 (Best Paper Nomination) 

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LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery


May 28, 2020
Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn

* 8 pages 

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Generative Feature Replay with Orthogonal Weight Modification for Continual Learning


May 07, 2020
Gehui Shen, Song Zhang, Xiang Chen, Zhi-Hong Deng

* Working in progress 

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An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices


Feb 22, 2020
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

* arXiv admin note: text overlap with arXiv:1909.05073 

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COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning


Jan 28, 2020
Ping Xu, Yue Wang, Xiang Chen, Tian Zhi


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