Xiongkun Linghu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Multi-modal Situated Reasoning in 3D Scenes	2024	Xiongkun Linghu Jiangyong Huang Xuesong Niu Xiaojian Ma Baoxiong Jia Siyuan Huang
+ PDF Chat	Switchable Representation Learning Framework with Self-Compatibility	2023	Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling‐Yu Duan
+	An Embodied Generalist Agent in 3D World	2023	Jiangyong Huang Silong Yong Xiaojian Ma Xiongkun Linghu Puhao Li Yan Wang Qing Li Song‐Chun Zhu Baoxiong Jia Siyuan Huang
+	Switchable Representation Learning Framework with Self-compatibility	2022	Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Tao Bai Ling‐Yu Duan
+	Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning	2022	Jinze Li Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Shaoyun Xu Tao Bai
+	Bayesian Evidential Learning for Few-Shot Classification	2022	Xiongkun Linghu Yan Bai Yihang Lou Shengsen Wu Jinze Li Jianzhong He Tao Bai

Common Coauthors

Coauthor	Papers Together
Yihang Lou	4
Yan Bai	4
Jianzhong He	4
Tao Bai	3
Shengsen Wu	3
Jinze Li	2
Ling‐Yu Duan	2
Xiaojian Ma	2
Baoxiong Jia	2
Siyuan Huang	2
Jiangyong Huang	2
Shaoyun Xu	1
Puhao Li	1
Silong Yong	1
Song‐Chun Zhu	1
Yan Wang	1
Qing Li	1
Xuesong Niu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Pareto optimality in multiobjective problems	1977	Yair Censor	1
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	1
+ PDF Chat	Visual Concept Recognition and Localization via Iterative Introspection	2017	Amir Rosenfeld Shimon Ullman	1
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Adaptive Computation Time for Recurrent Neural Networks	2016	Alex Graves	1
+	Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning	2014	Kyunghyun Cho Yoshua Bengio	1
+ PDF Chat	Deformable Convolutional Networks	2017	Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei	1
+ PDF Chat	Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade	2017	Xiaoxiao Li Ziwei Liu Ping Luo Chen Change Loy Xiaoou Tang	1
+ PDF Chat	Convolutional Networks with Adaptive Inference Graphs	2018	Andreas Veit Serge Belongie	1
+	Adapting Auxiliary Losses Using Gradient Similarity	2018	Yunshu Du Wojciech Marian Czarnecki Siddhant M. Jayakumar Razvan Pascanu Balaji Lakshminarayanan	1
+	Multi-Scale Dense Networks for Resource Efficient Image Classification	2017	Gao Huang Danlu Chen Tianhong Li Felix Wu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	BranchyNet: Fast inference via early exiting from deep neural networks	2016	Surat Teerapittayanon Bradley McDanel H. T. Kung	1
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	1
+ PDF Chat	Person Transfer GAN to Bridge Domain Gap for Person Re-identification	2018	Longhui Wei Shiliang Zhang Wen Gao Qi Tian	1
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	1
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	1
+ PDF Chat	Segmentation-Aware Convolutional Networks Using Local Attention Masks	2017	Adam W. Harley Konstantinos G. Derpanis Iasonas Kokkinos	1
+ PDF Chat	SkipNet: Learning Dynamic Routing in Convolutional Networks	2018	Xin Wang Fisher Yu Zi-Yi Dou Trevor Darrell Joseph E. Gonzalez	1
+ PDF Chat	MnasNet: Platform-Aware Neural Architecture Search for Mobile	2019	Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew Howard Quoc V. Le	1
+ PDF Chat	CondenseNet: An Efficient DenseNet Using Learned Group Convolutions	2018	Gao Huang Shichen Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	Deformable ConvNets V2: More Deformable, Better Results	2019	Xizhou Zhu Han Hu Stephen Lin Jifeng Dai	1
+ PDF Chat	Bag of Tricks and a Strong Baseline for Deep Person Re-Identification	2019	Hao Luo Youzhi Gu Xingyu Liao Shenqi Lai Wei Jiang	1
+	Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation	2019	Hang Gao Xizhou Zhu Steve Lin Jifeng Dai	1
+	Once-for-All: Train One Network and Specialize it for Efficient Deployment	2019	Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han	1
+ PDF Chat	Circle Loss: A Unified Perspective of Pair Similarity Optimization	2020	Yifan Sun Changmao Cheng Yuhan Zhang Chi Zhang Liang Zheng Zhongdao Wang Yichen Wei	1
+ PDF Chat	Towards Backward-Compatible Representation Learning	2020	Yantao Shen Yuanjun Xiong Wei Xia Stefano Soatto	1
+ PDF Chat	Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference	2020	Thomas Verelst Tinne Tuytelaars	1
+	Trusted Multi-View Classification	2021	Zongbo Han Changqing Zhang Huazhu Fu Joey Tianyi Zhou	1
+	Gradient-guided Loss Masking for Neural Machine Translation	2021	Xinyi Wang Ankur Bapna Melvin Johnson Orhan Fırat	1
+ PDF Chat	Positive-Congruent Training: Towards Regression-Free Model Updates	2021	Sijie Yan Yuanjun Xiong Kaustav Kundu Shuo Yang Siqi Deng Meng Wang Wei Xia Stefano Soatto	1
+ PDF Chat	Asymmetric metric learning for knowledge transfer	2021	Mateusz Budnik Yannis Avrithis	1
+ PDF Chat	Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation	2022	Shengsen Wu Liang Chen Yihang Lou Yan Bai Tao Bai Minghua Deng Ling‐Yu Duan	1
+ PDF Chat	Dynamic Neural Networks: A Survey	2021	Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang	1
+	Nonlinear Programming	2013	Harold W. Kuhn A. W. Tucker	1
+ PDF Chat	LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference	2021	Ben Graham Alaaeldin El-Nouby Hugo Touvron Pierre Stock Armand Joulin Hervé Jeǵou Matthijs Douze	1
+ PDF Chat	Evidential Deep Learning for Open Set Action Recognition	2021	Wentao Bao Qi Yu Yu Kong	1
+	TRGP: Trust Region Gradient Projection for Continual Learning	2022	Sen Lin Li Yang Deliang Fan Junshan Zhang	1
+	CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment	2021	Manas Sahni Shreya Varshini Alind Khare Alexey Tumanov	1
+	Conditional Computation in Neural Networks for faster models	2015	Emmanuel Bengio Pierre‐Luc Bacon Joëlle Pineau Doina Precup	1
+	FastReID: A Pytorch Toolbox for General Instance Re-identification	2023	Lingxiao He Xing-Yu Liao Wu Liu Xinchen Liu Peng Cheng Tao Mei	1
+	Decision Forests, Convolutional Networks and the Models in-Between	2016	Yani Ioannou Duncan Robertson Darko Zikic Peter Kontschieder Jamie Shotton Matthew A. Brown Antonio Criminisi	1