Sicheng Zhu

According to our database, Sicheng Zhu authored at least 30 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Semi-Supervised Multiview Prototype Learning With Motion Reconstruction for Moving Infrared Small Target Detection.

Weiwei Duan, Luping Ji, Jianghong Huang, Shengjia Chen, Shuang Peng, Sicheng Zhu, Mao Ye

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Triple-Domain Feature Learning With Frequency-Aware Memory Enhancement for Moving Infrared Small Target Detection.

Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye

IEEE Trans. Geosci. Remote. Sens., 2024

Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline.

Shengjia Chen, Luping Ji, Sicheng Zhu, Mao Ye, Haohao Ren, Yongsheng Sang

IEEE Trans. Geosci. Remote. Sens., 2024

Engaging with AI painting: exploring motivations and challenges in laypeople's creative information practices.

Xiaoyu Zhang, Sicheng Zhu, Yuxiang (Chris) Zhao, Mingxia Jia, Qinghua Zhu

Inf. Res., 2024

TMP: Temporal Motion Perception with spatial auxiliary enhancement for moving Infrared dim-small target detection.

Sicheng Zhu, Luping Ji, Jiewen Zhu, Shengjia Chen, Weiwei Duan

Expert Syst. Appl., 2024

Spatio-temporal fusion with motion masks for the moving small target detection from remote-sensing videos.

Sicheng Zhu, Luping Ji, Jiewen Zhu, Shengjia Chen, Haohao Ren

Eng. Appl. Artif. Intell., 2024

Sonicmesh: Enhancing 3D Human Mesh Reconstruction in Vision-Impaired Environments With Acoustic Signals.

Xiaoxuan Liang, Wuyang Zhang, Hong Zhou, Zhaolong Wei, Sicheng Zhu, Yansong Li, Rui Yin, Jiantao Yuan, Jeremy Gummeson

CoRR, 2024

AdvPrefix: An Objective for Nuanced LLM Jailbreaks.

Sicheng Zhu, Brandon Amos, Yuandong Tian, Chuan Guo, Ivan Evtimov

CoRR, 2024

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment.

Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh

CoRR, 2024

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models.

Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang

CoRR, 2024

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang

CoRR, 2024

Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

CoRR, 2024

An Improved Lightweight Variant of EfficientNetV2 Coupled With Sensor Fusion and Transfer Learning Techniques for Motor Fault Diagnosis.

Liang Jiang, Sicheng Zhu, Ning Sun

IEEE Access, 2024

Position: On the Possibilities of AI-Generated Text Detection.

Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

WAVES: Benchmarking the Robustness of Image Watermarks.

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds.

Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts.

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models.

Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun

CoRR, 2023

More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes.

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang

CoRR, 2023

On the Possibilities of AI-Generated Text Detection.

Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang

CoRR, 2023

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator.

Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong

Proceedings of the International Conference on Machine Learning, 2023

2022

JDAPCOO: Resource Scheduling and Energy Efficiency Optimization in 5G and Satellite Converged Networks for Power Transmission and Distribution Scenarios.

Sachula Meng, Sicheng Zhu, Zhihui Wang, Ruibing Zhang, Jinxia Han, Jiayan Liu, Haoran Sun, Peng Qin, Xiongwen Zhao

Sensors, 2022

Matching-Based Resource Allocation for Satellite-Ground Network.

Huixia Ding, Sicheng Zhu, Sachula Meng, Jinxia Han, Heng Liu, Miao Wang, Jiayan Liu, Peng Qin, Xiongwen Zhao

Sensors, 2022

2021

A Visual Grasping Strategy for Improving Assembly Efficiency Based on Deep Reinforcement Learning.

Yongzhi Wang, Sicheng Zhu, Qian Zhang, Ran Zhou, Rutong Dou, Haonan Sun, Qingfeng Yao, Mingwei Xu, Yu Zhang

J. Sensors, 2021

Understanding the Generalization Benefit of Model Invariance from a Data Perspective.

Sicheng Zhu, Bang An, Furong Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Guess First to Enable Better Compression and Adversarial Robustness.

Sicheng Zhu, Bang An, Shiyu Niu

CoRR, 2020

Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization.

Sicheng Zhu, Xiao Zhang, David Evans

Proceedings of the 37th International Conference on Machine Learning, 2020

Offline Handwritten Chinese Character Recognition Based on Improved Googlenet.

Feng Min, Sicheng Zhu, Yansong Wang

Proceedings of the AIPR 2020: 3rd International Conference on Artificial Intelligence and Pattern Recognition, 2020

People Counting Based on Multi-scale Region Adaptive Segmentation and Depth Neural Network.

Feng Min, Yansong Wang, Sicheng Zhu

Proceedings of the AIPR 2020: 3rd International Conference on Artificial Intelligence and Pattern Recognition, 2020

2018

Research of Screening Method Based on Glaucoma Image.

Zhenyu Liu, Yakun Gao, Sicheng Zhu

Proceedings of the 3rd International Conference on Multimedia and Image Processing, 2018