Jun Zhou

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All published works
Action Title Year Authors
+ PDF Chat A Separable Self-attention Inspired by the State Space Model for Computer Vision 2025 Juntao Zhang
Siyu Liu
Kun Bian
You Zhou
Pei Zhang
Jianning Liu
Jun Zhou
Bingyan Liu
+ PDF Chat Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding 2024 Jun Zhou
Dongyang Yu
Kamran Aziz
Fangfang Su
Qing Zhang
Fei Li
Donghong Ji
+ PDF Chat Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm 2024 Qiang Gao
Zixiang Meng
Bobo Li
Jun Zhou
Fei Li
Chong Teng
Donghong Ji
+ PDF Chat Scale-Invariant Feature Disentanglement via Adversarial Learning for UAV-based Object Detection 2024 Fan Liu
Liang Yao
Chuanyi Zhang
Ting Wu
Xinlei Zhang
Jun Zhou
Xiruo Jiang
+ PDF Chat CMNER: A Chinese Multimodal NER Dataset based on Social Media 2024 Yuanze Ji
Bobo Li
Jun Zhou
Fei Li
Chong Teng
Donghong Ji
+ Dynamic Clustering Transformer Network for Point Cloud Segmentation 2023 Dening Lu
Jun Zhou
Kyle Gao
Dilong Li
Jing Du
Linlin Xu
Jonathan Li
+ PDF Chat GraTO 2022 Xinshun Feng
Herun Wan
Shangbin Feng
Hongrui Wang
Qinghua Zheng
Jun Zhou
Minnan Luo
+ PDF Chat Reminding the incremental language model via data-free self-distillation 2022 Han Wang
Ruiliu Fu
Chengzhang Li
Xuejun Zhang
Jun Zhou
Xing Bai
Yonghong Yan
Qingwei Zhao
+ PDF Chat RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning 2022 Han Wang
Ruiliu Fu
Xuejun Zhang
Jun Zhou
+ Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable 2021 Ruiliu Fu
Han Wang
Xuejun Zhang
Jun Zhou
Yonghong Yan
+ Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable 2021 Ruiliu Fu
Han Wang
Xuejun Zhang
Jun Zhou
Yonghong Yan
+ Multi-layer Feature Aggregation for Deep Scene Parsing Models 2020 Litao Yu
Yongsheng Gao
Jun Zhou
Jian Zhang
Qiang Wu
+ Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation 2017 Fahim Irfan Alam
Jun Zhou
Alan Wee‐Chung Liew
Xiuping Jia
Jocelyn Chanussot
Yongsheng Gao
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ Multi-hop Reading Comprehension through Question Decomposition and Rescoring 2019 Sewon Min
Victor W. Zhong
Luke Zettlemoyer
Hannaneh Hajishirzi
2
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
2
+ Lifelong Language Knowledge Distillation 2020 Yung-Sung Chuang
Shang‐Yu Su
Yun-Nung Chen
2
+ PDF Chat SQuAD: 100,000+ Questions for Machine Comprehension of Text 2016 Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
2
+ PDF Chat Question Answering by Reasoning Across Documents with Graph Convolutional Networks 2019 Nicola De Cao
Wilker Aziz
Ivan Titov
2
+ PDF Chat Constructing Datasets for Multi-hop Reading Comprehension Across Documents 2018 Johannes Welbl
Pontus Stenetorp
Sebastian Riedel
2
+ ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 2019 Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
2
+ PDF Chat Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps 2020 Xanh Ho
Anh-Khoa Duong Nguyen
Saku Sugawara
Akiko Aizawa
2
+ PDF Chat Cognitive Graph for Multi-Hop Reading Comprehension at Scale 2019 Ming Ding
Chang Zhou
Qibin Chen
Hongxia Yang
Jie Tang
2
+ PDF Chat Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs 2019 Ming Tu
Guangtao Wang
Jing Huang
Yun Tang
Xiaodong He
Bowen Zhou
2
+ Neural Machine Translation by Jointly Learning to Align and Translate 2014 Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
2
+ PDF Chat HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering 2018 Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
2
+ Know What You Don’t Know: Unanswerable Questions for SQuAD 2018 Pranav Rajpurkar
Robin Jia
Percy Liang
2
+ R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason 2020 Naoya Inoue
Pontus Stenetorp
Kentaro Inui
2
+ Graph Attention Networks 2018 Petar Veličković
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Píetro Lió
Yoshua Bengio
2
+ The Web as a Knowledge-Base for Answering Complex Questions 2018 Alon Talmor
Jonathan Berant
2
+ Neural Models for Reasoning over Multiple Mentions Using Coreference 2018 Bhuwan Dhingra
Qiao Jin
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
2
+ Is Graph Structure Necessary for Multi-hop Question Answering? 2020 Nan Shao
Yiming Cui
Ting Liu
Shijin Wang
Guoping Hu
2
+ Unsupervised Question Decomposition for Question Answering 2020 Ethan Perez
Patrick Lewis
Wen-tau Yih
Kyunghyun Cho
Douwe Kiela
2
+ PDF Chat Efficient Meta Lifelong-Learning with Limited Memory 2020 Zirui Wang
Sanket Vaibhav Mehta
Barnabás Póczos
Jaime Carbonell
2
+ Unsupervised Neural Machine Translation 2017 Mikel Artetxe
Gorka Labaka
Eneko Agirre
Kyunghyun Cho
2
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
2
+ Dynamically Fused Graph Network for Multi-hop Reasoning 2019 Lin Qiu
Yunxuan Xiao
Yanru Qu
Hao Zhou
Lei Li
Weinan Zhang
Yong Yu
2
+ Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction 2019 Kosuke Nishida
Kyosuke Nishida
Masaaki Nagata
Atsushi Otsuka
Itsumi Saito
Hisako Asano
Junji Tomita
2
+ Learning without Forgetting 2017 Zhizhong Li
Derek Hoiem
1
+ PDF Chat PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing 2018 Dan Xu
Wanli Ouyang
Xiaogang Wang
Nicu Sebe
1
+ PDF Chat The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks 2018 Maxim Berman
Amal Rannen Triki
Matthew B. Blaschko
1
+ PDF Chat Adaptive Affinity Fields for Semantic Segmentation 2018 Tsung-Wei Ke
Jyh-Jing Hwang
Ziwei Liu
Stella X. Yu
1
+ Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks 2018 Linfeng Song
Zhiguo Wang
Mo Yu
Yue Zhang
Radu Florian
Daniel Gildea
1
+ PDF Chat DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2017 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
1
+ PDF Chat CRF learning with CNN features for image segmentation 2015 Fayao Liu
Guosheng Lin
Chunhua Shen
1
+ Continual lifelong learning with neural networks: A review 2019 German I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
Stefan Wermter
1
+ PDF Chat Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation 2018 Qihang Yu
Lingxi Xie
Yan Wang
Yuyin Zhou
Elliot K. Fishman
Alan Yuille
1
+ PDF Chat The Cityscapes Dataset for Semantic Urban Scene Understanding 2016 Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1
+ The Devil is in the Decoder 2017 Zbigniew Wojna
Vittorio Ferrari
Sergio Guadarrama
Nathan Silberman
Liang-Chieh Chen
Alireza Fathi
Jasper Uijlings
1
+ Learning to Generate Reviews and Discovering Sentiment 2017 Alec Radford
Rafał Józefowicz
Ilya Sutskever
1
+ PDF Chat Structured Feature Learning for Pose Estimation 2016 Xiao Chu
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
1
+ PDF Chat Convolutional neural networks at constrained time cost 2015 Kaiming He
Jian Sun
1
+ PDF Chat Learning Deconvolution Network for Semantic Segmentation 2015 Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
1
+ PDF Chat Feature Pyramid Networks for Object Detection 2017 Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
1
+ PDF Chat Continual Learning for Sentence Representations Using Conceptors 2019 Tianlin Liu
Lyle Ungar
João Sedoc
1
+ PDF Chat RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation 2017 Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
1
+ PDF Chat Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders 2017 Tiancheng Zhao
Ran Zhao
Maxine Eskénazi
1
+ PDF Chat Attention to Scale: Scale-Aware Semantic Image Segmentation 2016 Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
1
+ PDF Chat Dual Attention Network for Scene Segmentation 2019 Jun Fu
Jing Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
1
+ PDF Chat Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation 2019 Chenxi Liu
Liang-Chieh Chen
Florian Schroff
Hartwig Adam
Wei Hua
Alan Yuille
Li Fei-Fei
1
+ PDF Chat A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images 2018 Dongqing Zhang
Ilknur Icke
Belma Dogdas
Sarayu Parimal
Smita Sampath
Joseph Forbes
Ansuman Bagchi
Chih‐Liang Chin
Antong Chen
1
+ Lifelong Learning for Sentiment Classification 2015 Zhiyuan Chen
Nianzu Ma
Bing Liu
1
+ Overcoming catastrophic forgetting in neural networks 2017 James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka Grabska‐Barwińska
1