Xiaofeng Liu

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All published works

Action	Title	Year	Authors
+	Bias and Fairness in Chatbots: An Overview	2024	Jintang Xue Yun-Cheng Wang Chengwei Wei Xiaofeng Liu Jonghye Woo C.‐C. Jay Kuo
+ PDF Chat	AI enlightens wireless communication: A transformer backbone for CSI feedback	2024	Han Xiao Zhiqin Wang Dexin Li Wenqiang Tian Xiaofeng Liu Liu Wen-dong Shi Jin Jia Shen Zhi Zhang Ning Yang
+	AI Enlightens Wireless Communication: A Transformer Backbone for CSI Feedback	2022	Xiao Han Zhiqin Wang Dexin Li Wenqiang Tian Xiaofeng Liu W. K. Liu Shi Jin Jia Shen Zhi Zhang Ning Yang
+ PDF Chat	AI enlightens wireless communication: Analyses, solutions and opportunities on CSI feedback	2021	Xiao Han Zhiqin Wang Wenqiang Tian Xiaofeng Liu W. K. Liu Shi Jin Jia Shen Zhi Zhang Ning Yang
+	Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions.	2021	Yinchuan Li Xiaofeng Liu Xu Zhang Yunfeng Shao Qing Wang Yanhui Geng
+ PDF Chat	Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation	2021	Xiaofeng Liu Site Li Yubin Ge Pengyi Ye Jane You Jun Lü
+ PDF Chat	PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments	2021	Qihao Liu Yujia Wang Xiaofeng Liu
+	Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation	2021	Xiaofeng Liu Site Li Yubin Ge Pengyi Ye Jane You Jun Lü
+	Sparse Personalized Federated Learning	2021	Xiaofeng Liu Yinchuan Li Qing Wang Xu Zhang Yunfeng Shao Yanhui Geng

Common Coauthors

Coauthor	Papers Together
Shi Jin	3
Wenqiang Tian	2
Jun Lü	2
Jane You	2
Qing Wang	2
W. K. Liu	2
Yinchuan Li	2
Jia Shen	2
Yubin Ge	2
Pengyi Ye	2
Ning Yang	2
Dexin Li	2
Zhiqin Wang	2
Zhi Zhang	2
Yanhui Geng	2
Yunfeng Shao	2
Site Li	2
Liu Wen-dong	1
Jia Shen	1
C.‐C. Jay Kuo	1
Jintang Xue	1
Xiao Han	1
Chengwei Wei	1
Qihao Liu	1
Wenqiang Tian	1
Xu Zhang	1
Xu Zhang	1
Xiao Han	1
Ning Yang	1
Zhi Zhang	1
Yujia Wang	1
Jonghye Woo	1
Han Xiao	1
Zhiqin Wang	1
Yun-Cheng Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Dual Mixup Regularized Learning for Adversarial Domain Adaptation	2020	Yuan Wu Diana Inkpen Ahmed El-Roby	2
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	2
+ PDF Chat	Energy-constrained Self-training for Unsupervised Domain Adaptation	2021	Xiaofeng Liu Bo Hu Xiongchang Liu Jun Lu Jane You Lingsheng Kong	2
+ PDF Chat	Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification	2020	Yang Zou Xiaodong Yang Zhiding Yu B. V. K. Vijaya Kumar Jan Kautz	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Transferrable Prototypical Networks for Unsupervised Domain Adaptation	2019	Yingwei Pan Ting Yao Yehao Li Yu Wang Chong‐Wah Ngo Tao Mei	2
+ PDF Chat	Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis	2019	Xiaofeng Liu Xu Han Yukai Qiao Yi Ge Site Li Jun Lu	2
+ PDF Chat	Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization	2021	Yubin Ge Site Li Xuyang Li Fangfang Fan Wanqing Xie Jane You Xiaofeng Liu	2
+	Domain Separation Networks	2016	Konstantinos Bousmalis George Trigeorgis Nathan Silberman Dilip Krishnan Dumitru Erhan	2
+ PDF Chat	The Three Sigma Rule	1994	Friedrich Pukelsheim	2
+	A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression	2018	Joel Jaskari Jyri Kivinen	2
+ PDF Chat	Generate to Adapt: Aligning Domains Using Generative Adversarial Networks	2018	Swami Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa	2
+	Conditional Adversarial Domain Adaptation	2017	Mingsheng Long Zhangjie Cao Jianmin Wang Michael I. Jordan	2
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	2
+	Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement	2019	Junxiang Chen Kayhan Batmanghelich	2
+ PDF Chat	Confidence Regularized Self-Training	2019	Yang Zou Zhiding Yu Xiaofeng Liu B. V. K. Vijaya Kumar Jinsong Wang	2
+ PDF Chat	Conservative Wasserstein Training for Pose Estimation	2019	Xiaofeng Liu Yang Zou Tong Che Ping Jia Peng Ding Jane You B. V. K. Vijaya Kumar	2
+ PDF Chat	Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models	2020	Minyoung Kim Vladimir Pavlović	2
+ PDF Chat	Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate	2021	Xiaofeng Liu Zhenhua Guo Site Li Fangxu Xing Jane You C.‐C. Jay Kuo Georges El Fakhri Jonghye Woo	2
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	2
+	Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference	2021	Xiaofeng Liu Bo Hu Linghao Jin Xu Han Fangxu Xing Jinsong Ouyang Jun Lu Georges El Fakhri Jonghye Woo	2
+ PDF Chat	Mutual information regularized identity-aware facial expression recognition in compressed video	2021	Xiaofeng Liu Linghao Jin Xu Han Jane You	2
+	An introduction to domain adaptation and transfer learning	2018	Wouter M. Kouw	2
+ PDF Chat	Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training	2020	Xiaofeng Liu Yuzhuo Han Song Bai Yi Ge Tianxing Wang Xu Han Site Li Jane You Jun Lu	2
+	Human-level performance in 3D multiplayer games with population-based reinforcement learning	2019	Max Jaderberg Wojciech Marian Czarnecki Iain Dunning Luke Marris Guy Lever Antonio García Castañeda Charles Beattie Neil C. Rabinowitz Ari S. Morcos Avraham Ruderman	1
+	Accelerated Methods for Deep Reinforcement Learning	2018	Adam Stooke Pieter Abbeel	1
+	Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture	2016	Ju Sun Qing Qu John Wright	1
+	Learning by Playing - Solving Sparse Reward Tasks from Scratch	2018	Martin Riedmiller Roland Hafner Thomas Lampe Michael Neunert Jonas Degrave Tom Van de Wiele Volodymyr Mnih Nicolas Heess Jost Tobias Springenberg	1
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	1
+	Don't Use Large Mini-Batches, Use Local SGD	2018	Tao Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi	1
+ PDF Chat	Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates	2017	Shixiang Gu Ethan Holly Timothy Lillicrap Sergey Levine	1
+	Distributed Prioritized Experience Replay	2018	Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel Hado van Hasselt David Silver	1
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	1
+ PDF Chat	Training Sparse Neural Networks	2017	Suraj Srinivas Akshayvarun Subramanya R. Venkatesh Babu	1
+	Parallelized Stochastic Gradient Descent	2010	Martin Zinkevich Markus Weimer Lihong Li Alex Smola	1
+	Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds	2017	João F. C. Mota Nikos Deligiannis Miguel R. D. Rodrigues	1
+	The Variational Homoencoder: Learning to learn high capacity generative models from few examples	2018	Luke Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola Joshua B. Tenenbaum	1
+	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents	2017	Edoardo Conti Vashisht Madhavan Felipe Petroski Such Joel Lehman Kenneth O. Stanley Jeff Clune	1
+	VIME: Variational Information Maximizing Exploration	2016	Rein Houthooft Xi Chen Yan Duan John Schulman Filip De Turck Pieter Abbeel	1
+	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations	2018	Francesco Locatello Stefan Bauer Mario Lučić Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem	1
+ PDF Chat	Recovery of Structured Signals With Prior Information via Maximizing Correlation	2018	Xu Zhang Wei Cui Yulong Liu	1
+	Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU	2016	Mohammad Babaeizadeh Iuri Frosio Stephen Tyree Jason Clemons Jan Kautz	1
+	Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations	2017	Diane Bouchacourt Ryota Tomioka Sebastian Nowozin	1
+	One-Shot Federated Learning	2019	Neel Guha Ameet Talwalkar Virginia Smith	1
+ PDF Chat	Compressed sensing with prior information via maximizing correlation	2017	Xu Zhang Wei Cui Yulong Liu	1
+ PDF Chat	Curiosity-Driven Exploration by Self-Supervised Prediction	2017	Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell	1
+ PDF Chat	Stable Recovery of Structured Signals From Corrupted Sub-Gaussian Measurements	2018	Jinchi Chen Yulong Liu	1
+	Learning to Play With Intrinsically-Motivated, Self-Aware Agents	2018	Nick Haber Damian Mrowca Stephanie Wang Li Fei-Fei Daniel Yamins	1
+ PDF Chat	Bag of Tricks for Image Classification with Convolutional Neural Networks	2019	Tong He Zhi Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li	1
+	First-Order Methods in Optimization	2017	Amir Beck	1