Jia Deng

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All published works

Action	Title	Year	Authors
+ PDF Chat	Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems	2024	Yingqian Min Zhipeng Chen Jinhao Jiang Jie Chen Jia Deng Y. Hu Yiru Tang Jiapeng Wang Xiaoxue Cheng Hongmei Song
+ PDF Chat	Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search	2024	Jinhao Jiang Zhipeng Chen Yingqian Min Jie Chen Xiaoxue Cheng Jiapeng Wang Yiru Tang Haoxiang Sun Jia Deng Wayne Xin Zhao
+ PDF Chat	Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation	2024	Alexander Raistrick Lingjie Mei Karhan Kayan David Yan Yiming Zuo Beining Han Hongyu Wen Meenal Parakh Stamatis Alexandropoulos Lahav Lipson
+	Learning Symbolic Rules for Reasoning in Quasi-Natural Language	2021	Kaiyu Yang Jia Deng
+	Learning to Prove Theorems by Learning to Generate Theorems	2020	Mingzhe Wang Jia Deng
+	PackIt: A Virtual Environment for Geometric Planning	2020	Ankit Goyal Jia Deng
+	A Unified Framework of Surrogate Loss by Refactoring and Interpolation	2020	Lanlan Liu Mingzhe Wang Jia Deng
+	Strongly Incremental Constituency Parsing with Graph Neural Networks	2020	Kaiyu Yang Jia Deng
+ PDF Chat	MeshAdv: Adversarial Meshes for Visual Recognition	2019	Chaowei Xiao Dawei Yang Bo Li Jia Deng Mingyan Liu
+	Feature Partitioning for Efficient Multi-Task Architectures	2019	Alejandro Newell Lu Jiang Chong Wang Li-Jia Li Jia Deng
+	Realistic Adversarial Examples in 3D Meshes	2018	Dawei Yang Chaowei Xiao Bo Li Jia Deng Mingyan Liu
+	Rethinking Numerical Representations for Deep Neural Networks	2018	Parker Hill Babak Zamirai Shengshuo Lu Yu-Wei Chao Michael A. Laurenzano Mehrzad Samadi Marios C. Papaefthymiou Scott Mahlke Thomas F. Wenisch Jia Deng
+	MeshAdv: Adversarial Meshes for Visual Recognition	2018	Chaowei Xiao Dawei Yang Bo Li Jia Deng Mingyan Liu
+ PDF Chat	Probabilistic Label Relation Graphs with Ising Models	2015	Nan Ding Jia Deng Kevin Murphy Hartmut Neven

Common Coauthors

Coauthor	Papers Together
Dawei Yang	3
Mingyan Liu	3
Chaowei Xiao	3
Kaiyu Yang	2
Zhipeng Chen	2
Yiru Tang	2
Wayne Xin Zhao	2
Zhongyuan Wang	2
Mingzhe Wang	2
Bo Li	2
Xiaoxue Cheng	2
Jinhao Jiang	2
Yingqian Min	2
Jiapeng Wang	2
Z L Liu	2
Ji-Rong Wen	2
Mehrzad Samadi	1
Hongmei Song	1
Lingjia Tang	1
Yu-Wei Chao	1
Alejandro Newell	1
Lu Jiang	1
Karhan Kayan	1
Meenal Parakh	1
Stamatis Alexandropoulos	1
Lahav Lipson	1
Bo Li	1
Haoxiang Sun	1
Jie Chen	1
Yan Dong	1
Yiming Zuo	1
Lanlan Liu	1
Hongyu Wen	1
Jian Xie	1
David Yan	1
Parker Hill	1
Beining Han	1
Marios C. Papaefthymiou	1
Jie Chen	1
Chong Wang	1
Babak Zamirai	1
Scott Mahlke	1
Kevin Murphy	1
Y. Hu	1
Li-Jia Li	1
Hartmut Neven	1
Ankit Goyal	1
Thomas F. Wenisch	1
Nan Ding	1
Shengshuo Lu	1

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	5
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	3
+ PDF Chat	Shape from Shading Through Shape Evolution	2018	Dawei Yang Jia Deng	3
+	Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views	2016	Francisco Massa Bryan Russell Mathieu Aubry	3
+ PDF Chat	Unsupervised Training for 3D Morphable Model Regression	2018	Kyle Genova Forrester Cole Aaron Maschinot Aaron Sarna Daniel Vlasic William T. Freeman	3
+ PDF Chat	Synthesizing Training Images for Boosting Human 3D Pose Estimation	2016	Wenzheng Chen Huan Wang Yangyan Li Hao Su Zhenhua Wang Changhe Tu Dani Lischinski Daniel Cohen‐Or Baoquan Chen	3
+	RenderNet: A deep convolutional network for differentiable rendering from 3D shapes	2018	Thu Nguyen-Phuoc Chuan Li Stephen Balaban Yongliang Yang	3
+ PDF Chat	Learning from Synthetic Humans	2017	Gül Varol Javier Romero Xavier Martín Naureen Mahmood Michael J. Black Ivan Laptev Cordelia Schmid	3
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	3
+ PDF Chat	Semantic Scene Completion from a Single Depth Image	2017	Shuran Song Fisher Yu Andy Zeng Anne Lynn S. Chang Manolis Savva Thomas Funkhouser	3
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	3
+ PDF Chat	Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views	2015	Hao Su Charles R. Qi Yangyan Li Leonidas Guibas	3
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	3
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	2
+	DeepMath - Deep Sequence Models for Premise Selection	2016	Alex Alemi François Chollet Niklas Eén Geoffrey Irving Christian Szegedy Josef Urban	2
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	2
+	Adversarial Geometry and Lighting using a Differentiable Renderer	2018	Hsueh‐Ti Derek Liu Michael Tao Chun‐Liang Li Derek Nowrouzezahrai Alec Jacobson	2
+ PDF Chat	Playing for Data: Ground Truth from Computer Games	2016	Stephan R. Richter Vibhav Vineet Stefan Roth Vladlen Koltun	2
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	2
+	Generating Adversarial Examples with Adversarial Networks	2018	Chaowei Xiao Bo Li Jun-Yan Zhu Warren He Mingyan Liu Dawn Song	2
+	Generative Language Modeling for Automated Theorem Proving.	2020	Stanislas Polu Ilya Sutskever	2
+	Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation	2018	Chaowei Xiao Ruizhi Deng Bo Li Fisher Yu Mingyan Liu Dawn Song	2
+ PDF Chat	Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks	2017	Yinda Zhang Shuran Song Ersin Yumer Manolis Savva Joon‐Young Lee Hailin Jin Thomas Funkhouser	2
+	Learning to Reason in Large Theories without Imitation	2021	Kshitij Bansal Christian Szegedy Markus N. Rabe Sarah M. Loos Viktor Toman	2
+ PDF Chat	Deep outdoor illumination estimation	2017	Yannick Hold-Geoffroy Kalyan Sunkavalli Sunil Hadap Emiliano Gambaretto Jean‐François Lalonde	2
+	Robust Physical-World Attacks on Deep Learning Models	2017	Ivan Evtimov Kevin Eykholt Earlence Fernandes Tadayoshi Kohno Bo Li Atul Prakash Amir Rahmati Dawn Song	2
+	Adversarial Attacks Beyond the Image Space	2017	Xiaohui Zeng Chenxi Liu Yu-Siang Wang Weichao Qiu Lingxi Xie Yu‐Wing Tai Chi Keung Tang Alan Yuille	2
+	Spatially Transformed Adversarial Examples	2018	Chaowei Xiao Jun-Yan Zhu Bo Li Warren He Mingyan Liu Dawn Song	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+	ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning	2016	Michał Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Jaśkowski	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	Stacked Hourglass Networks for Human Pose Estimation	2016	Alejandro Newell Kaiyu Yang Jia Deng	1
+	Recurrent Neural Network Grammars	2016	Chris Dyer Adhiguna Kuncoro Miguel Ballesteros Noah A. Smith	1
+	Incremental interpretation of Categorial Grammar	1995	David Milward	1
+	SMASH: One-Shot Model Architecture Search through HyperNetworks	2017	Andrew Brock Theodore Lim Jacob Ritchie Nick Weston	1
+	Synthesizing Robust Adversarial Examples	2017	Anish Athalye Logan Engstrom Andrew Ilyas Kevin Kwok	1
+ PDF Chat	Shape, Illumination, and Reflectance from Shading	2014	Jonathan T. Barron Jitendra Malik	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Loopy belief propagation for approximate inference: an empirical study	1999	Kevin P. Murphy Yair Weiss Michael I. Jordan	1
+	Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks	2017	Cícero Nogueira dos Santos Kahini Wadhawan Bowen Zhou	1
+	Learning to Multi-Task by Active Sampling	2017	Sahil Sharma Ashutosh Jha Parikshit Hegde Balaraman Ravindran	1
+	One Model To Learn Them All	2017	Łukasz Kaiser Aidan N. Gomez Noam Shazeer Ashish Vaswani Niki Parmar Llion Jones Jakob Uszkoreit	1
+ PDF Chat	Active Object Localization with Deep Reinforcement Learning	2015	Juan C. Caicedo Svetlana Lazebnik	1
+ PDF Chat	Quantum annealing in the transverse Ising model	1998	Tadashi Kadowaki Hidetoshi Nishimori	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	An Overview of Multi-Task Learning in Deep Neural Networks	2017	Sebastian Ruder	1
+	A Survey on Multi-Task Learning	2017	Yu Zhang Qiang Yang	1
+	Incremental Learning Through Deep Adaptation	2017	Amir Rosenfeld John K. Tsotsos	1
+ PDF Chat	Natural Evolution Strategies	2008	Daan Wierstra Tom Schaul Jan Peters Juergen Schmidhuber	1