A Practical Mobile Dry EEG System for Human Computer Interfaces. - Yu M. Chi; Yijun Wang 001; Yu-Te Wang; Tzyy-Ping Jung; Trevor Kerth; Yuchen Cao (HCI (24), 2013)

On the Negative Effects of Trend Noise and Its Applications in Side-Channel Cryptanalysis. - Yuchen Cao; Yongbin Zhou; Zhenmei Yu (IACR Cryptol. ePrint Arch., 2013)

Hilbert Transform Based Vertical Preprocessing for Side-Channel Analysis. - Yuchen Cao; Yongbin Zhou; Hailong Zhang 001; Wei Yang 008 (ICCCN, 2016)

A statistical model for DPA when algorithmic noise is dependent on target. - Shuang Qiu 004; Rui Zhang 002; Yuchen Cao; Wei Yang 008; Yongbin Zhou; Tian Ding (Secur. Commun. Networks, 2016)

Distance Based Leakage Alignment for Side Channel Attacks. - Wei Yang 008; Yuchen Cao; Yongbin Zhou; Hailong Zhang 001; Qian Zhang 042 (IEEE Signal Process. Lett., 2016)

How Far Can We Reach? Breaking RSM-Masked AES-128 Implementation Using Only One Trace. - Wei Cheng 003; Chao Zheng; Yuchen Cao; Yongbin Zhou; Hailong Zhang 001; Sylvain Guilley; Laurent Sauvage (IACR Cryptol. ePrint Arch., 2017)

Multi-Channel Fusion Attacks. - Wei Yang 008; Yongbin Zhou; Yuchen Cao; Hailong Zhang 001; Qian Zhang 042; Huan Wang (IEEE Trans. Inf. Forensics Secur., 2017)

Electro-magnetic analysis of GPU-based AES implementation. - Yiwen Gao 001; Hailong Zhang 001; Wei Cheng 003; Yongbin Zhou; Yuchen Cao (DAC, 2018)

Evaluating the effect of different teamwork training interventions on the quality of peer evaluations. - Daniel M. Ferguson; Matthew W. Ohland; Chad Lally; Hilda Ibriga Somnooma; Yuchen Cao (FIE, 2018)

Examining the Effect of a Game-like Practice Tool on the Quality of Student Peer Evaluations. - Daniel M. Ferguson; Elizabeth Shu; Yuchen Cao; Matthew W. Ohland (FIE, 2018)

Dense Object Reconstruction from RGBD Images with Embedded Deep Shape Representations. - Lan Hu; Yuchen Cao; Peng Wu; Laurent Kneip (CoRR, 2018)

Representations and Benchmarking of Modern Visual SLAM Systems. - Yuchen Cao; Lan Hu; Laurent Kneip (Sensors, 2020)

CropDefender: deep watermark which is more convenient to train and more robust against cropping. - Jiayu Ding; Yuchen Cao; Changhao Shi (CoRR, 2021)

Multi-channel time-frequency fusion attacks. - Yuchen Cao; Yongbin Zhou; Hailong Zhang 001 (Int. J. Inf. Comput. Secur., 2021)

Meta-BNS FOR Adversarial Data-Free Quantization. - Siming Fu; Hualiang Wang; Yuchen Cao; Haoji Hu; Bo Peng; Wenming Tan; Tingqun Ye (ICIP, 2022)

Incremental Semantic Localization using Hierarchical Clustering of Object Association Sets. - Lan Hu; Zhongwei Luo; Runze Yuan; Yuchen Cao; Jiaxin Wei 001; Kai Wang; Laurent Kneip (CoRR, 2022)

Continuous-Mode Hybrid Asymmetrical Load- Modulated Balanced Amplifier With Three-Way Modulation and Multi-Band Reconfigurability. - Yuchen Cao; Haifeng Lyu; Kenle Chen (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Video Surveillance on Mobile Edge Networks: Exploiting Multi-Exit Network. - Yuchen Cao; Siming Fu; Xiaoxuan He; Haoji Hu; Hangguan Shan; Lu Yu 003 (ICC, 2023)

Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition. - Xiaoxuan He; Siming Fu; Xinpeng Ding; Yuchen Cao; Hualiang Wang (ACM Multimedia, 2023)

Repdistiller: Knowledge Distillation Scaled by Re-parameterization for Crowd Counting. - Tian Ni; Yuchen Cao; Xiaoyu Liang; Haoji Hu (PRCV (10), 2023)

3D Art Research with Radiance Field and Style Transfer - Yuchen Cao (2023)

Linear Hybrid Asymmetrical Load-Modulated Balanced Amplifier with Multi-Band Reconfigurability and Antenna-VSWR Resilience. - Jiachen Guo; Yuchen Cao; Kenle Chen (CoRR, 2024)

Systematic Review: Text Processing Algorithms in Machine Learning and Deep Learning for Mental Health Detection on Social Media. - Yuchen Cao; Jianglai Dai; Zhongyan Wang; Yeyubei Zhang; Xiaorui Shen; Yunchong Liu; Yexin Tian (CoRR, 2024)

A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases. - Yunchong Liu; Xiaorui Shen; Yeyubei Zhang; Zhongyan Wang; Yexin Tian; Jianglai Dai; Yuchen Cao (CoRR, 2024)

StuLAC: An Adaptive LLM-Driven Framework for Scalable Student Feedback Analysis in Software-Driven Educational Systems. - Yicheng Sun; Hi Kuen Yu; Jacky Keung; Yuchen Cao; Yihan Liao (COMPSAC, 2025)

Multi-Strategy Enhanced COA for Path Planning in Autonomous Navigation. - Yifei Wang; Jacky Keung; Haohan Xu; Yuchen Cao; Zhenyu Mao (COMPSAC, 2025)

CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences. - Ziran Qin; Yuchen Cao; Mingbao Lin; Wen Hu; Shixuan Fan; Ke Cheng; Weiyao Lin; Jianguo Li (ICLR, 2025)

Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection. - Yeyubei Zhang; Zhongyan Wang; Zhanyi Ding; Yexin Tian; Jianglai Dai; Xiaorui Shen; Yunchong Liu; Yuchen Cao (CoRR, 2025)

Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media. - Zhanyi Ding; Zhongyan Wang; Yeyubei Zhang; Yuchen Cao; Yunchong Liu; Xiaorui Shen; Yexin Tian; Jianglai Dai (CoRR, 2025)

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM. - Codefuse; Wenting Cai; Yuchen Cao; Chaoyu Chen; Chen Chen; Siba Chen; Qing Cui; Peng Di; Junpeng Fang; Zi Gong; Ting Guo; Zhengyu He; et al. (CoRR, 2025)

SeamlessFlow: A Trainer Agent Isolation RL Framework Achieving Bubble-Free Pipelines via Tag Scheduling. - Jinghui Wang; Shaojie Wang; Yinghan Cui; Xuxing Chen; Chao Wang; Xiaojiang Zhang; Minglei Zhang; Jiarong Zhang; Wenhao Zhuang; Yuchen Cao; Wankang Bao; Haimo Li; et al. (CoRR, 2025)