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Cho-Jui Hsieh

Active 2008–2026

Also published as
Cho‐Jui Hsieh
350
Papers
37,300
Citations
82
h-index
213
i10-index

Citations

Citations per year for Cho-Jui Hsieh1970: 1 citations1985: 1 citations1986: 1 citations1988: 1 citations1992: 1 citations2001: 2 citations2002: 1 citations2004: 2 citations2006: 2 citations2007: 2 citations2008: 14 citations2009: 88 citations2010: 221 citations2011: 325 citations2012: 472 citations2013: 573 citations2014: 797 citations2015: 934 citations2016: 1,076 citations2017: 933 citations2018: 1,049 citations2019: 1,271 citations2020: 1,687 citations2021: 2,060 citations2022: 1,999 citations2023: 2,263 citations2024: 2,142 citations2025: 1,939 citations2026: 647 citations2027: 1 citations1971–1984: no citations, so these years are not shown1987: no citations, so this year is not shown1989–1991: no citations, so these years are not shown1993–2000: no citations, so these years are not shown2003: no citations, so this year is not shown2005: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 5,278 citing papers, 25.1% of this breakdownUnited States: 5,002 citing papers, 23.8% of this breakdownUnited Kingdom: 1,088 citing papers, 5.2% of this breakdownGermany: 809 citing papers, 3.9% of this breakdownAustralia: 773 citing papers, 3.7% of this breakdownJapan: 593 citing papers, 2.8% of this breakdownSingapore: 574 citing papers, 2.7% of this breakdownHong Kong: 552 citing papers, 2.6% of this breakdownCanada: 520 citing papers, 2.5% of this breakdownFrance: 510 citing papers, 2.4% of this breakdownIndia: 464 citing papers, 2.2% of this breakdownSouth Korea: 373 citing papers, 1.8% of this breakdown
0%25.1%Other 21.3%

Institutions

Fields

  • Computer Science77%
  • Engineering7.6%
  • Biochemistry, Genetics and Molecular Biology2.2%
  • Physics and Astronomy2.2%
  • Medicine2%
  • Neuroscience1.7%
  • Other7.3%

Topics

  • Adversarial Robustness in Machine Learning5.8%
  • Topic Modeling4.6%
  • Domain Adaptation and Few-Shot Learning3.4%
  • Multimodal Machine Learning Applications3.3%
  • Advanced Image and Video Retrieval Techniques3.1%
  • Advanced Neural Network Applications3%
  • Other76.8%

Coauthors

All papers

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  1. VisualBERT: A Simple and Performant Baseline for Vision and Language

    Authors: Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang - arXiv (Cornell University), CoRR 2019 cited by 1,671

  2. ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models

    Authors: Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh - Workshop on Artificial Intelligence and Security, AISec@CCS 2017 cited by 1,745

  3. Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

    Authors: Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh - SIGKDD International Conference on Knowledge Discovery & Data Mining 2019 cited by 1,211

  4. Symbolic Discovery of Optimization Algorithms

    Authors: Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 681

  5. OR-Bench: An Over-Refusal Benchmark for Large Language Models

    Authors: Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh - ICML 2025 cited by 200

  6. Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

    Authors: Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh - ICLR 2020 cited by 1,221

  7. DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

    Authors: Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh - NeurIPS 2021 cited by 1,180

  8. R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

    Authors: Hengguang Zhou, Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh - ArXiv.org, CoRR 2025 cited by 137

  9. SSE-PT: Sequential Recommendation Via Personalized Transformer

    Authors: Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack - Fourteenth ACM Conference on Recommender Systems, RecSys 2020 cited by 248

  10. Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

    Authors: Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh - ArXiv.org, CoRR 2025 cited by 96

  11. When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

    Authors: Xiangning Chen, Cho-Jui Hsieh, Boqing Gong - ICLR 2022 cited by 184

  12. DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

    Authors: Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh - arXiv (Cornell University), CoRR 2024 cited by 74

  13. Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

    Authors: Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu - Neural Information Processing Systems, NIPS 2017 cited by 1,507

  14. LIBLINEAR: A Library for Large Linear Classification

    Authors: Rong-En Fan, Kai‐Wei Chang, Cho‐Jui Hsieh, Wang Xiang-rui, Chih‐Jen Lin - http://www.csie.ntu.edu.tw/~cjlin/papers/liblinear.pdf 2008 cited by 6,625

  15. Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

    Authors: Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon - ICLR 2022 cited by 195

  16. Efficient Neural Network Robustness Certification with General Activation Functions

    Authors: Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel - NeurIPS 2018 cited by 939

  17. Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise

    Authors: Xuanqing Liu, Tesi Xiao, Si Si, Cao Qin, Sanjiv Kumar, Cho‐Jui Hsieh - arXiv (Cornell University), CoRR 2019 cited by 133

  18. Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

    Authors: Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh - ICLR 2021 cited by 219

  19. Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

    Authors: Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh - International Conference on Learning Representations, ICLR 2021 cited by 282

  20. Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

    Authors: Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel - ICLR (Poster) 2018 cited by 524

  21. Defending LLMs against Jailbreaking Attacks via Backtranslation

    Authors: Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui Hsieh - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 43

  22. On the Adversarial Robustness of Vision Transformers

    Authors: Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh - Trans. Mach. Learn. Res. 2022 cited by 126

  23. Watermarking Pre-trained Language Models with Backdooring

    Authors: Chenxi Gu, Chengsong Huang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh - arXiv (Cornell University), CoRR 2022 cited by 46

  24. Towards Stable and Efficient Training of Verifiably Robust Neural Networks

    Authors: Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh - ICLR 2020 cited by 394