Zifan Wang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Unusual thermal expansion and Curie temperature variation in dhcp-iron hydride under high pressure	2025	Yuichiro Mori Katsutoshi Aoki Masahiro Takano Hiroyuki Kagi Ina Park Zifan Wang Duck Young Kim Noriyoshi Tsujino Sho Kakizawa Yuji Higo
+ PDF Chat	MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data	2025	Zifan Wang Ziqing Chen Junyu Chen Jilong Wang Yuxin Yang Yunze Liu Xueyi Liu He Wang Li Yi
+ PDF Chat	Downscaling of non van der Waals Semimetallic W5N6 with Resistivity Preservation	2024	Hongze Gao Da Zhou Ping Lu Zifan Wang Nguyen Tuan Hung Jun Cao Michael Geiwitz G. Natale Yuxuan Lin Kenneth S. Burch
+ PDF Chat	Risk-Averse Certification of Bayesian Neural Networks	2024	Xiyue Zhang Zifan Wang Yulong Gao Licio Romao Alessandro Abate Marta Kwiatkowska
+ PDF Chat	Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks	2024	Rui Zuo Zifan Wang Simon Khan Garrett E. Katz Qinru Qiu
+ PDF Chat	Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control	2024	Xinyi Yuan Zhong-Xia Shang Zifan Wang Chenkai Wang Shan‐Chao Zhao Ziming Qi Meixin Zhu Chenjia Bai Xuelong Li
+ PDF Chat	Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents	2024	Priyanshu Kumar Elaine Lau Saranya Vijayakumar Thuy Anh Trinh Scale Red Team Elizabeth Chang Vaughn Robinson Sean Hendryx Shijie Zhou Matt Fredrikson
+ PDF Chat	Risk-averse learning with delayed feedback	2024	Siyi Wang Zifan Wang Karl Henrik Johansson Sandra Hirche
+ PDF Chat	Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring	2024	Zifan Wang Christopher M. Ormerod
+ PDF Chat	Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation	2024	Jiaming Zhou Teli Ma Kun-Yu Lin Ronghe Qiu Zifan Wang Junwei Liang
+ PDF Chat	Sales Whisperer: A Human-Inconspicuous Attack on LLM Brand Recommendations	2024	Weiran Lin Anna Gerchanovsky Ömer Akgül Lujo Bauer Matt Fredrikson Zifan Wang
+ PDF Chat	VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices	2024	Han Zhang Zifan Wang Mihir Dhamankar Matt Fredrikson Yuvraj Agarwal
+ PDF Chat	CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding	2024	Yunze Liu Changxi Chen Zifan Wang Li Yi
+ PDF Chat	Thermal conversion of ultrathin nickel hydroxide for wide bandgap 2D nickel oxides	2024	Ping Lu Nicholas Russo Zifan Wang Ching-Hsiang Yao Kevin E. Smith Xi Ling
+ PDF Chat	Risk-averse Learning with Non-Stationary Distributions	2024	Siyi Wang Zifan Wang Xinlei Yi Michael M. Zavlanos Karl Henrik Johansson Sandra Hirche
+ PDF Chat	Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence	2024	Zifan Wang Zhuorui Ye Haoran Wu Junyu Chen Yi Li
+ PDF Chat	HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal	2024	Mantas Mazeika Long T. Phan Xuwang Yin Andy Zou Zifan Wang Norman Mu Elham Sakhaee Nathaniel Li Steven Basart Li Bo
+	GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation	2024	Zifan Wang Junyu Chen Ziqing Chen Pengwei Xie Rui Chen Yi Li
+	CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding	2024	Yunze Liu Changxi Chen Zifan Wang Yi Li
+ PDF Chat	Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization	2023	Zifan Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut
+ PDF Chat	Representation Stability and Finite Orthogonal Groups	2023	Arun S. Kannan Zifan Wang
+	Learning Modulo Theories	2023	Matt Fredrikson Kaiji Lu Saranya Vijayakumar Somesh Jha Vijay Ganesh Zifan Wang
+	Unlocking Deterministic Robustness Certification on ImageNet	2023	Kai Hu Andy Zou Zifan Wang K. Rustan M. Leino Matt Fredrikson
+	A numerical study of the effect of discretization methods on the crystal plasticity finite element method	2023	Jingwei Chen Zifan Wang Alexander M. Korsunsky
+	Streaming Kernel PCA Algorithm With Small Space	2023	Yichuan Deng Zhao Song Zifan Wang Han Zhang
+	Policy Evaluation in Distributional LQR	2023	Zifan Wang Yulong Gao Siyi Wang Michael M. Zavlanos Alessandro Abate Karl Henrik Johansson
+	Non-Speckle-based DVC for Measuring Large Deformations in Homogeneous Solids using Laboratory X-ray CT	2023	Zifan Wang A. Joshi Angkur Jyoti Dipanka Shaikeea Vikram Susdhir Deshpande
+	Asymmetric Feedback Learning in Online Convex Games	2023	Zifan Wang Xinlei Yi Yi Shen Michael M. Zavlanos Karl Henrik Johansson
+	Convergence Analysis of the Best Response Algorithm for Time-Varying Games	2023	Zifan Wang Yi Shen Michael M. Zavlanos Karl Henrik Johansson
+	Automatic Answerability Evaluation for Question Generation	2023	Zifan Wang Kotaro Funakoshi Manabu Okumura
+	Representation Engineering: A Top-Down Approach to AI Transparency	2023	Andy Zou Long T. Phan Sarah Chen James Campbell Phillip Guo Richard Ren Alexander Pan Xuwang Yin Mantas Mazeika Ann-Kathrin Dombrowski
+	Constrained Optimization with Decision-Dependent Distributions	2023	Zifan Wang Changxin Liu Thomas Parisini Michael M. Zavlanos Karl Henrik Johansson
+	A Recipe for Improved Certifiable Robustness: Capacity and Data	2023	Kai Hu K. Rustan M. Leino Zifan Wang Matt Fredrikson
+	Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression	2023	Zhihang Li Zhao Song Zifan Wang Junze Yin
+	3D observations discover a new paradigm in rubber elasticity	2023	Zifan Wang Shuvrangsu Das A. Joshi Angkur Jyoti Dipanka Shaikeea V.S. Deshpande
+ PDF Chat	Risk-Averse No-Regret Learning in Online Convex Games	2022	Zifan Wang Yi Shen Michael M. Zavlanos
+	Representation Stability and Finite Orthogonal Groups	2022	Zifan Wang Arun S. Kannan
+	Risk-Averse No-Regret Learning in Online Convex Games	2022	Zifan Wang Yi Shen Michael M. Zavlanos
+	Faithful Explanations for Deep Graph Models	2022	Zifan Wang Yuhang Yao Chaoran Zhang Han Zhang Youjie Kang Carlee Joe‐Wong Matt Fredrikson Anupam Datta
+	A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games	2022	Zifan Wang Yi Shen Zachary I. Bell Scott Nivison Michael M. Zavlanos Karl Henrik Johansson
+	The creep deformation of a new nickel-base alloy-by-design studied using synchrotron X-ray diffraction	2022	Jingwei Chen Zifan Wang Chrysanthi Papadaki Alexander M. Korsunsky
+	Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization	2022	Zifan Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut
+	On the Perils of Cascading Robust Classifiers	2022	Ravi Mangal Zifan Wang Chi Zhang K. Rustan M. Leino Corina S. Păsăreanu Matt Fredrikson
+	ABSTRACTING INFLUENCE PATHS FOR EXPLAINING (CONTEXTUALIZATION OF) BERT MODELS	2021	Kaiji Lu Zifan Wang Piotr Mardziel Anupam Datta
+	Boundary Attributions Provide Normal (Vector) Explanations.	2021	Zifan Wang Matt Fredrikson Anupam Datta
+ PDF Chat	Negative linear compressibility and unusual dynamic behavior of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>NaB</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:math>	2021	Xin‐Ling He Shuning Pan Yue Chen Xiao‐Ji Weng Zifan Wang Dongli Yu Xiao Dong Jian Sun Yongjun Tian Xiang‐Feng Zhou
+	Towards Behavior-Level Explanation for Deep Reinforcement Learning.	2020	Xuan Chen Zifan Wang Yucai Fan Bonan Jin Piotr Mardziel Carlee Joe‐Wong Anupam Datta
+ PDF Chat	Interpreting Interpretations: Organizing Attribution Methods by Criteria	2020	Zifan Wang Piotr Mardziel Anupam Datta Matt Fredrikson
+	Smoothed Geometry for Robust Attribution	2020	Zifan Wang Haofan Wang Shakul Ramkumar Piotr Mardziel Matt Fredrikson Anupam Datta
+	Towards Frequency-Based Explanation for Robust CNN	2020	Zifan Wang Yilin Yang Ankit Shrivastava Varun Rawal Zihao Ding
+	Gas Temperature Measurement in Internal Cooling Passages	1996	Zifan Wang Peter Ireland Stefan Köhler
+	An Advanced Method of Processing Liquid Crystal Video Signals From Transient Heat Transfer Experiments	1995	Zifan Wang Peter Ireland T. V. Jones

Common Coauthors

Coauthor	Papers Together
Matt Fredrikson	11
Michael M. Zavlanos	8
Karl Henrik Johansson	7
Anupam Datta	6
Piotr Mardziel	4
Yi Shen	3
Andy Zou	3
K. Rustan M. Leino	3
Xinlei Yi	2
Siyi Wang	2
Li Yi	2
Yunze Liu	2
Long T. Phan	2
Ziqing Chen	2
Radu Soricut	2
Saranya Vijayakumar	2
Nathaniel Li	2
Carlee Joe‐Wong	2
Alessandro Abate	2
A. Joshi	2
Xi Chen	2
Arun S. Kannan	2
Kaiji Lu	2
Mantas Mazeika	2
Steven Basart	2
Dan Hendrycks	2
Yi Shen	2
Tomer Levinboim	2
Kai Hu	2
Alexander M. Korsunsky	2
Changxi Chen	2
Peter Ireland	2
Sandra Hirche	2
Angkur Jyoti Dipanka Shaikeea	2
Thuy Anh Trinh	1
Pengwei Xie	1
Noriyoshi Tsujino	1
Sarah Chen	1
Rui Zuo	1
David Forsyth	1
Michael Byun	1
Michael Geiwitz	1
Dawn Song	1
Shakul Ramkumar	1
Kevin E. Smith	1
Xiao Dong	1
Xinyi Yuan	1
Elizabeth Chang	1
Sho Kakizawa	1
Chrysanthi Papadaki	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	3
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	3
+	Homological stability for classical groups over finite fields	1976	Eric M. Friedlander	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
+ PDF Chat	A First Course in Noncommutative Rings	2001	T. Y. Lam	2
+ PDF Chat	4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks	2019	Christopher Choy JunYoung Gwak Silvio Savarese	2
+ PDF Chat	Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding	2022	Hao Wen Yunze Liu Jingwei Huang Bo Duan Yi Li	2
+ PDF Chat	Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting	2023	Tarasha Khurana Peiyun Hu David Held Deva Ramanan	2
+	Representation theory and homological stability	2013	Thomas M. Church Benson Farb	2
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	2
+	Configuration spaces of positive and negative particles	1975	Dusa McDuff	2
+ PDF Chat	FI-modules and stability for representations of symmetric groups	2015	Thomas M. Church Jordan S. Ellenberg Benson Farb	1
+ PDF Chat	Finite local rings	1973	G. Ganske Bernard R. McDonald	1
+	Quasi-Newton Methods for Unconstrained Optimization	1972	Philip E. Gill Walter Murray	1
+ 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
+	A generalization of a theorem of Vogtmann	1987	Ruth Charney	1
+ PDF Chat	Homological stability for configuration spaces of manifolds	2011	Thomas M. Church	1
+ PDF Chat	Negative linear compressibility	2015	Andrew B. Cairns Andrew L. Goodwin	1
+	High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks	2019	Haohan Wang Xindi Wu Zeyi Huang Eric P. Xing	1
+	Deep Reinforcement Learning for Robotic Manipulation-The state of the art	2017	Smruti Amarjyoti	1
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox	1
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	1
+	Understanding Black-box Predictions via Influence Functions	2017	Pang Wei Koh Percy Liang	1
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	1
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	SmoothGrad: removing noise by adding noise	2017	Daniel Smilkov Nikhil Thorat Been Kim Fernanda Viégas Martin Wattenberg	1
+	Exploring Generalization in Deep Learning	2017	Behnam Neyshabur Srinadh Bhojanapalli David McAllester Nathan Srebro	1
+	Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models	2017	Jonas Rauber Wieland Brendel Matthias Bethge	1
+	Quantitative representation stability over linear groups	2017	Jeremy Miller J. Wilson	1
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	1
+	Theoretically Principled Trade-off between Robustness and Accuracy	2019	Hongyang Zhang Yaodong Yu Jiantao Jiao Eric P. Xing Laurent El Ghaoui Michael I. Jordan	1
+ 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	1
+ PDF Chat	Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix	2011	Haim Avron Sivan Toledo	1
+	Negative eigenvalues of the Hessian in deep neural networks	2019	Guillaume Alain Nicolas Le Roux Pierre-Antoine Manzagol	1
+ PDF Chat	Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies	2016	Tal Linzen Emmanuel Dupoux Yoav Goldberg	1
+	Low Frequency Adversarial Perturbation	2018	Chuan Guo Jared S. Frank Kilian Q. Weinberger	1
+	Representer Point Selection for Explaining Deep Neural Networks	2018	Chih‐Kuan Yeh Joon Sik Kim Ian En-Hsu Yen Pradeep Ravikumar	1
+	Assessing BERT's Syntactic Abilities.	2019	Yoav Goldberg	1
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	On the Effectiveness of Low Frequency Perturbations	2019	Yash Sharma Gavin Weiguang Ding Marcus A. Brubaker	1
+ PDF Chat	DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction	2019	Qiangeng Xu Weiyue Wang Duygu Ceylan Radomír Měch Ulrich Neumann	1
+	Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned	2019	Elena Voita David Talbot Fédor Moiseev Rico Sennrich Ivan Titov	1
+ PDF Chat	Targeted Syntactic Evaluation of Language Models	2018	Rebecca Marvin Tal Linzen	1
+	Is Attention Interpretable	2019	Sofia Serrano Noah A. Smith	1
+	Visualizing and Measuring the Geometry of BERT	2019	Andy Coenen Emily Reif Ann Yuan Been Kim Adam Pearce Fernanda Viégas Martin Wattenberg	1
+	On the Connection Between Adversarial Robustness and Saliency Map Interpretability	2019	Christian Etmann Sebastian Lunz Peter Maaß Carola‐Bibiane Schönlieb	1
+	On the Spectral Bias of Neural Networks	2018	Nasim Rahaman Aristide Baratin Devansh Arpit Felix Draxler Min Lin Fred A. Hamprecht Yoshua Bengio Aaron Courville	1
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Attention is not Explanation	2019	Sarthak Jain Byron Wallace	1
+	Scaling provable adversarial defenses	2018	Eric Wong Frank R. Schmidt Jan Hendrik Metzen J. Zico Kolter	1