Xi Wu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection	2024	Peng Huang Shu Hu Bo Peng Jiashu Zhang Xi Wu Xin Wang
+ PDF Chat	MetaSD: A Unified Framework for Scalable Downscaling of Meteorological Variables in Diverse Situations	2024	Jing Hu H. Zhang Peng Zheng Jialin Mu Xiaomeng Huang Xi Wu
+ PDF Chat	Uncertainty-Aware Explainable Recommendation with Large Language Models	2024	Yicui Peng Hao Chen Chingsheng Lin Huang Guo Jinrong Hu Hui Guo Bin Kong Shu Hu Xi Wu Xin Wang
+ PDF Chat	RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control	2023	Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu
+ PDF Chat	Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation	2023	Hao Chen Peng Zheng Xin Wang Shu Hu Bin Zhu Jinrong Hu Xi Wu Siwei Lyu
+	Attacking Important Pixels for Anchor-free Detectors	2023	Yunxu Xie Shu Hu Xin Wang Quanyu Liao Bin Zhu Xi Wu Siwei Lyu
+	Holistic Cube Analysis: A Query Framework for Data Insights	2023	Xi Wu Joe Benassi Yaqi Zhang Uyeong Jang James Foster Stella Kim Yujing Sun Somesh Jha John Cieslewicz Jeffrey F. Naughton
+	The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning	2023	Zhenmei Shi Jiefeng Chen Kunyang Li Jayaram Raghuram Xi Wu Yingyu Liang Somesh Jha
+	Stratified Adversarial Robustness with Rejection	2023	Jiefeng Chen Jayaram Raghuram Jihye Choi Xi Wu Yingyu Liang Somesh Jha
+	Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection	2023	Nils Palumbo Yang Guo Xi Wu Jiefeng Chen Yingyu Liang Somesh Jha
+	Weakly Supervised Semantic Segmentation by Knowledge Graph Inference	2023	Jia Zhang Bo Peng Xi Wu
+	A Comprehensive Empirical Investigation on Failure Clustering in Parallel Debugging	2022	Yi Song Xiaoyuan Xie Quanming Liu Xihao Zhang Xi Wu
+	RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control	2022	Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu
+ PDF Chat	Stochastic Actor-Executor-Critic for Image-to-Image Translation	2021	Ziwei Luo Jing Hu Xin Wang Siwei Lyu Bin Kong Youbing Yin Qi Song Xi Wu
+	Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration	2021	Ziwei Luo Jing Hu Xin Wang Shu Hu Bin Kong Youbing Yin Qi Song Xi Wu Siwei Lyu
+	Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles	2021	Jiefeng Chen Frederick Liu Besim Avci Xi Wu Yingyu Liang Somesh Jha
+	Stochastic Actor-Executor-Critic for Image-to-Image Translation	2021	Ziwei Luo Jing Hu Xin Wang Siwei Lyu Bin Kong Youbing Yin Qi Song Xi Wu
+	State of the art on the flammability of hydrofluoroolefin (HFO) refrigerants	2019	Xi Wu Chaobin Dang Shiming Xu Eiji Hihara
+	CEPC Conceptual Design Report: Volume 2 - Physics & Detector	2018	J. Barreiro Guimarães da Costa J. Qian C. Tully Charles Young Lian-Tao Wang Manqi Ruan H. Zhu M. Y. Dong Q. Ouyang Zhigang Wu
+	Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences	2015	Xi Wu Matt Fredrikson Wentao Wu Somesh Jha Jeffrey F. Naughton
+	Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks	2015	Nicolas Papernot Patrick McDaniel Xi Wu Somesh Jha Ananthram Swami
+ PDF Chat	Improved DCT-Based Nonlocal Means Filter for MR Images Denoising	2012	Jinrong Hu Yi‐Fei Pu Xi Wu Yi Zhang Jiliu Zhou
+	How to Estimate Confidence Intervals of Proportionsfor Different Population Sizes and Sample Sizes	2005	Xi Wu

Common Coauthors

Coauthor	Papers Together
Siwei Lyu	7
Somesh Jha	6
Shu Hu	6
Yingyu Liang	4
Xiaomeng Huang	3
Youbing Yin	3
Jinrong Hu	3
Jing Hu	3
Bin Kong	3
Bin Zhu	3
Qi Song	3
Ziwei Luo	3
Xin Wang	2
Jiefeng Chen	2
Yanfei Xiang	2
Xin Wang	2
Jayaram Raghuram	2
Xin Wang	2
Jeffrey F. Naughton	2
Jiefeng Chen	2
Bo Peng	2
A. Martin	1
Chun-Khiang Chua	1
P. Azzurri	1
L. Yan	1
Xiaoran Zhao	1
Sichun Sun	1
Zonguo Si	1
I. Božović-Jelisavčić	1
Kai Ma	1
Gianmario Bilei	1
Dan Yu	1
Zengqiang Liu	1
Zhang Ren-You	1
Manqi Ruan	1
Da‐Yong He	1
Ruilin Zhu	1
Guo-Ming Chen	1
Ben-Wei Zhang	1
A. Kotwal	1
Eiji Hihara	1
F. Piccinini	1
F. L. Lucio Alves	1
Lingda Yu	1
M. Boonekamp	1
P. Michelato	1
Nataša Vukašinović	1
Hong-Shi Zong	1
Jinghui Huang	1
R. Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel	1
+	Proceedings of the 24th international conference on Machine learning	2007	John Langford Joëlle Pineau	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	A Markovian Decision Process	1957	Richard Bellman	1
+	Benchmarking Deep Reinforcement Learning for Continuous Control	2016	Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel	1
+ PDF Chat	Determining the Veracity of Rumours on Twitter	2016	Georgios Giasemidis Colin Singleton Ioannis Agrafiotis Jason R. C. Nurse Alan Pilgrim Chris Willis Danica Vukadinović Greetham	1
+ PDF Chat	Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates	2017	Shixiang Gu Ethan Holly Timothy Lillicrap Sergey Levine	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	DeepMind Control Suite	2018	Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li Diego de Las Casas David Budden Abbas Abdolmaleki Josh Merel Andrew Lefrancq	1
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	1
+	Addressing Function Approximation Error in Actor-Critic Methods	2018	Scott Fujimoto Herke van Hoof David Meger	1
+	Universal Sentence Encoder	2018	Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco Rhomni St. John Noah Constant Mario Guajardo-Céspedes Steve Yuan Chris Tar	1
+	Distributed Distributional Deterministic Policy Gradients	2018	Gabriel Barth-Maron Matthew W. Hoffman David Budden Will Dabney Dan Horgan Dhruva Tb Alistair Muldal Nicolas Heess Timothy Lillicrap	1
+	FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media	2018	Kai Shu Deepak Mahudeswaran Suhang Wang Dongwon Lee Huan Liu	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	An empirical model for refrigerant flammability based on molecular structure and thermodynamics	2019	Gregory T. Linteris Ian H. Bell Mark O. McLinden	1
+	Reinforcement Learning with Deep Energy-Based Policies	2017	Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine	1
+	Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning	2017	Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine	1
+	State of the Art Control of Atari Games Using Shallow Reinforcement Learning	2015	Yitao Liang Marlos C. Machado Erik Talvitie Michael Bowling	1
+	Hardware Conditioned Policies for Multi-Robot Transfer Learning	2018	Tao Chen Adithyavairavan Murali Abhinav Gupta	1
+ PDF Chat	Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods	2018	Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine	1
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	1
+ PDF Chat	Setting up a Reinforcement Learning Task with a Real-World Robot	2018	A. Rupam Mahmood Dmytro Korenkevych Brent Komer James Bergstra	1
+ PDF Chat	Learning modular neural network policies for multi-task and multi-robot transfer	2017	Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine	1
+	The Future of Misinformation Detection: New Perspectives and Trends	2019	Bin Guo Yasan Ding Lina Yao Yunji Liang Zhiwen Yu	1
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	1
+	MOReL : Model-Based Offline Reinforcement Learning	2020	Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims	1
+	Bootstrap your own latent: A new approach to self-supervised Learning	2020	Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre H. Richemond Elena Buchatskaya Carl Doersch Bernardo Ávila Pires Zhaohan Daniel Guo Mohammad Gheshlaghi Azar	1
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	1
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin	1
+ PDF Chat	dm_control: Software and tasks for continuous control	2020	Saran Tunyasuvunakool Alistair Muldal Yotam Doron Siqi Liu Steven Bohez Josh Merel Tom Erez Timothy Lillicrap Nicolas Heess Yuval Tassa	1
+	Automatic Data Augmentation for Generalization in Deep Reinforcement Learning	2020	Roberta Raileanu Max A. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus	1
+	On the model-based stochastic value gradient for continuous reinforcement learning	2020	Brandon Amos Samuel Stanton Denis Yarats Andrew Gordon Wilson	1
+	robosuite: A Modular Simulation Framework and Benchmark for Robot Learning	2020	Yuke Zhu Josiah Wong Ajay Mandlekar Roberto Martín-Martín	1
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	1
+ PDF Chat	Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks	2020	Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera Philip Cardiff	1
+	CURL: Contrastive Unsupervised Representations for Reinforcement Learning	2020	Aravind Srinivas Michael Laskin Pieter Abbeel	1
+ PDF Chat	Evaluating Deep Learning Approaches for Covid19 Fake News Detection	2021	Apurva Wani Isha Joshi Snehal Khandve Vedangi Wagh Raviraj Joshi	1
+	Mastering Atari with Discrete World Models	2020	Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba	1
+	Reinforcement Learning with Prototypical Representations	2021	Denis Yarats Rob Fergus Alessandro Lazaric Lerrel Pinto	1
+ PDF Chat	SimCSE: Simple Contrastive Learning of Sentence Embeddings	2021	Tianyu Gao Xingcheng Yao Danqi Chen	1
+ PDF Chat	The Surprising Performance of Simple Baselines for Misinformation Detection	2021	Kellin Pelrine Jacob Danovitch Reihaneh Rabbany	1
+ PDF Chat	Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights	2021	Shu Hu Yuezun Li Siwei Lyu	1
+	Learning Transferable Visual Models From Natural Language Supervision	2021	Alec Radford Jong Wook Kim Chris Hallacy Aditya Ramesh Gabriel Goh Sandhini Agarwal Girish Sastry Amanda Askell Pamela Mishkin Jack Clark	1
+ PDF Chat	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images	2021	Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joëlle Pineau Rob Fergus	1
+	Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning	2021	Denis Yarats Rob Fergus Alessandro Lazaric Lerrel Pinto	1
+ PDF Chat	Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces	2022	Guo Hui Shu Hu Xin Wang Ming-Ching Chang Siwei Lyu	1
+ PDF Chat	Generalizing to the Future	2022	Yongchun Zhu Qiang Sheng Juan Cao Shuokai Li Danding Wang Fuzhen Zhuang	1
+	RB2: Robotic Manipulation Benchmarking with a Twist	2022	Sudeep Dasari Jianren Wang Joyce Hong Shikhar Bahl Yixin Lin Austin Wang Abitha Thankaraj Karanbir Chahal Berk Çallı Saurabh Gupta	1