Chaowei Xiao

7.6k citations

46 papers · 2.9k indexed · 4 hit papers · h-index 16

Impact in

Signal Processing top 1%
- Advanced Malware Detection Techniques
Artificial Intelligence top 0.5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications

Papers in

Artificial Intelligence 29
- Adversarial Robustness in Machine Learning 19
- Anomaly Detection Techniques and Applications 6
- Topic Modeling 4
Signal Processing 8
- Advanced Malware Detection Techniques 6

Co-authors: Dawn Song Yunhao Liu Mingyan Liu Tadayoshi Kohno Amir Rahmati Bo Li Earlence Fernandes Ivan Evtimov
Journals: Nature Machine Intelligence (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)IEEE Transactions on Mobile Computing (1 paper)ACM Computing Surveys (1 paper)International Conference on Learning Representations (1 paper)
Partner nations: United States China United Kingdom

In The Last Decade

Chaowei Xiao

40 papers receiving 2.9k citations

Hit Papers

align trajectories log scale

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion 2023 · 111 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion
2018 Robust Physical-World Attacks on Deep Learning Visual Classification
2018 Generating Adversarial Examples with Adversarial Networks
2014 Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Peers

Countries citing papers authored by Chaowei Xiao

Since Specialization

Citations

This map shows the geographic impact of Chaowei Xiao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chaowei Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaowei Xiao more than expected).

Fields of papers citing papers by Chaowei Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaowei Xiao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chaowei Xiao. The network helps show where Chaowei Xiao may publish in the future.

Co-authors

The 25 scholars most cited alongside Chaowei Xiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chaowei Xiao Line = papers co-authored together Chaowei Xiao links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process Peiran Wang, Xiaogeng Liu, Chaowei Xiao	2025	0
2	A text-guided protein design framework Nature Machine Intelligence ·Shengchao Liu, Yanjing Li, Zhuoxinran Li, Anthony Gitter, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Arvind Ramanathan, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar	2025	10
3	CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities Peiran Wang, X.-W. Liu, Chaowei Xiao	2025	0
4	Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen	2024	3
5	RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao	2024	6
6	Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models Jiashu Xu, Mingyu Ma, Fei Wang, Chaowei Xiao, Muhao Chen	2024	15
7	ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger Jiazhao Li, Yijin Yang, Zhuofeng Wu, V.G.Vinod Vydiswaran, Chaowei Xiao	2024	13
8	From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen	2024	3
9	Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar	2024	6
10	Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro	2023	11
11	Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning Zhuolin Yang, Ping Wei, Zihan Liu, Vijay Anand Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar	2023	10
12	Defending against Insertion-based Textual Backdoor Attacks via Attribution Jiazhao Li, Zhuofeng Wu, Ping Wei, Chaowei Xiao, V. G. Vinod Vydiswaran	2023	3
13	Multi-modal molecule structure–text model for text-based retrieval and editing Nature Machine Intelligence ·Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Anima Anandkumar	2023	70
14	Taxonomy of Machine Learning Safety: A Survey and Primer ACM Computing Surveys ·Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa	2022	16
15	Demo: Security of Multi-Sensor Fusion based Perception in AD under Physical-World Attacks Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Fang Jin, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li	2022	1
16	Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions CaltechAUTHORS (California Institute of Technology) ·Jiachen Sun, Yulong Cao, Christopher Choy, Zhiding Yu, Anima Anandkumar, Z. Morley Mao, Chaowei Xiao	2021	16
17	Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks arXiv (Cornell University) ·Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Fang Jin, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li	2021	130
18	Spatially transformed adversarial examples International Conference on Learning Representations ·Chaowei Xiao, Jun Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song	2018	22
19	Hardening Classifiers against Evasion: the Good, the Bad, and the Ugly arXiv (Cornell University) ·Tong Liang, Bo Li, Chen Hajaj, Chaowei Xiao, Yevgeniy Vorobeychik	2017	2
20	A Framework for Validating Models of Evasion Attacks on Machine Learning, with Application to PDF Malware Detection arXiv (Cornell University) ·Tong Liang, Bo Li, Chen Hajaj, Chaowei Xiao, Yevgeniy Vorobeychik	2017	7

About Chaowei Xiao

Chaowei Xiao is a scholar working on Artificial Intelligence, Signal Processing, Software, Computer Vision and Pattern Recognition and Instrumentation, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (19 papers), Advanced Malware Detection Techniques (6 papers), Anomaly Detection Techniques and Applications (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Network Security and Intrusion Detection (4 papers), Topic Modeling (4 papers), Bacillus and Francisella bacterial research (3 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Signal Processing (611 citations), Artificial Intelligence (1.6k citations), Media Technology (325 citations), Computer Vision and Pattern Recognition (650 citations) and Health Informatics (31 citations). Chaowei Xiao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dawn Song, Yunhao Liu, Mingyan Liu, Tadayoshi Kohno, Amir Rahmati, Bo Li, Earlence Fernandes, Ivan Evtimov, Kevin Eykholt and Atul Prakash. Their work appears in journals such as Nature Machine Intelligence, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Mobile Computing, ACM Computing Surveys and International Conference on Learning Representations.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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