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2020 – today
- 2024
[j9]Liang Jiang
, Sicheng Zhu, Ning Sun:
An Improved Lightweight Variant of EfficientNetV2 Coupled With Sensor Fusion and Transfer Learning Techniques for Motor Fault Diagnosis. IEEE Access 12: 84470-84487 (2024)- [j8]Sicheng Zhu, Luping Ji, Jiewen Zhu, Shengjia Chen, Haohao Ren:
Spatio-temporal fusion with motion masks for the moving small target detection from remote-sensing videos. Eng. Appl. Artif. Intell. 138: 109362 (2024) - [j7]Sicheng Zhu, Luping Ji, Jiewen Zhu, Shengjia Chen, Weiwei Duan:
TMP: Temporal Motion Perception with spatial auxiliary enhancement for moving Infrared dim-small target detection. Expert Syst. Appl. 255: 124731 (2024) - [j6]Xiaoyu Zhang, Sicheng Zhu, Yuxiang (Chris) Zhao, Mingxia Jia, Qinghua Zhu:
Engaging with AI painting: exploring motivations and challenges in laypeople's creative information practices. Inf. Res. 29(2): 680-700 (2024) - [j5]Shengjia Chen, Luping Ji, Sicheng Zhu, Mao Ye, Haohao Ren, Yongsheng Sang:
Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j4]Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye:
Triple-Domain Feature Learning With Frequency-Aware Memory Enhancement for Moving Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c10]Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang:
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. ICLR 2024 - [c9]Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras:
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. ICLR 2024 - [c8]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
WAVES: Benchmarking the Robustness of Image Watermarks. ICML 2024 - [c7]Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
Position: On the Possibilities of AI-Generated Text Detection. ICML 2024 - [i10]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
Benchmarking the Robustness of Image Watermarks. CoRR abs/2401.08573 (2024) - [i9]Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye:
Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection. CoRR abs/2406.06949 (2024) - [i8]Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang:
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? CoRR abs/2407.17417 (2024) - [i7]Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang:
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. CoRR abs/2409.00598 (2024) - 2023
- [c6]Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong:
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. ICML 2023: 42915-42937 - [i6]Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
On the Possibilities of AI-Generated Text Detection. CoRR abs/2304.04736 (2023) - [i5]Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang:
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. CoRR abs/2308.01313 (2023) - [i4]Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun:
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR abs/2310.15140 (2023) - 2022
- [j3]Sachula Meng, Sicheng Zhu, Zhihui Wang, Ruibing Zhang, Jinxia Han, Jiayan Liu, Haoran Sun, Peng Qin, Xiongwen Zhao:
JDAPCOO: Resource Scheduling and Energy Efficiency Optimization in 5G and Satellite Converged Networks for Power Transmission and Distribution Scenarios. Sensors 22(18): 7085 (2022) - [j2]Huixia Ding, Sicheng Zhu, Sachula Meng, Jinxia Han, Heng Liu, Miao Wang, Jiayan Liu, Peng Qin, Xiongwen Zhao:
Matching-Based Resource Allocation for Satellite-Ground Network. Sensors 22(21): 8436 (2022) - 2021
- [j1]Yongzhi Wang, Sicheng Zhu, Qian Zhang, Ran Zhou, Rutong Dou, Haonan Sun, Qingfeng Yao, Mingwei Xu, Yu Zhang:
A Visual Grasping Strategy for Improving Assembly Efficiency Based on Deep Reinforcement Learning. J. Sensors 2021: 8741454:1-8741454:11 (2021) - [c5]Sicheng Zhu, Bang An, Furong Huang:
Understanding the Generalization Benefit of Model Invariance from a Data Perspective. NeurIPS 2021: 4328-4341 - [i3]Sicheng Zhu, Bang An, Furong Huang:
Understanding the Generalization Benefit of Model Invariance from a Data Perspective. CoRR abs/2111.05529 (2021) - 2020
- [c4]Feng Min, Sicheng Zhu, Yansong Wang:
Offline Handwritten Chinese Character Recognition Based on Improved Googlenet. AIPR 2020: 42-46 - [c3]Feng Min, Yansong Wang, Sicheng Zhu:
People Counting Based on Multi-scale Region Adaptive Segmentation and Depth Neural Network. AIPR 2020: 79-83 - [c2]Sicheng Zhu, Xiao Zhang, David Evans:
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. ICML 2020: 11609-11618 - [i2]Sicheng Zhu, Bang An, Shiyu Niu:
Guess First to Enable Better Compression and Adversarial Robustness. CoRR abs/2001.03311 (2020) - [i1]Sicheng Zhu, Xiao Zhang, David Evans:
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. CoRR abs/2002.11798 (2020)
2010 – 2019
- 2018
- [c1]Zhenyu Liu, Yakun Gao, Sicheng Zhu:
Research of Screening Method Based on Glaucoma Image. ICMIP 2018: 114-118
Coauthor Index
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