PCGAN: Partition-Controlled Human Image Generation. - Dong Liang; Rui Wang 032; Xiaowei Tian; Cong Zou (AAAI, 2019)

Weighted Focus-Attention Deep Network for Fine-grained Image Classification. - Cong Zou; Rui Wang 032; Xiaochun Cao; Feixiao Lv (IEEE BigData, 2019)

Tensor-Train Based Deep Learning Approach for Compressive Sensing in Mobile Computing. - Cong Zou; Fang Yang 001 (IWCMC, 2019)

Deep Learning Approach Based on Tensor-Train for Sparse Signal Recovery. - Cong Zou; Fang Yang 001 (IEEE Access, 2019)

VCG: Exploiting visual contents and geographical influence for Point-of-Interest recommendation. - Zhibin Zhang; Cong Zou; Ruifeng Ding; Zhenzhong Chen (Neurocomputing, 2019)

Joint latent factors and attributes to discover interpretable preferences in recommendation. - Cong Zou; Zhenzhong Chen (Inf. Sci., 2019)

User Conditional Hashtag Recommendation for Micro-Videos. - Shang Liu; Jiayi Xie; Cong Zou; Zhenzhong Chen (ICME, 2020)

Bird Detection on Transmission Lines Based on DC-YOLO Model. - Cong Zou; Yong-quan Liang 001 (IIP, 2020)

ACARS Signal Source Generation and Recognition Based on Convolutional Neural Network. - Guanhua Wang; Cong Zou; Chao Zhang 009; Changyong Pan; Jian Song 004; Fang Yang 001 (BMSB, 2021)

MAPS: Joint Multimodal Attention and POS Sequence Generation for Video Captioning. - Cong Zou; Xuchen Wang; Yaosi Hu; Zhenzhong Chen; Shan Liu 001 (VCIP, 2021)

Channel Autoencoder for Wireless Communication: State of the Art, Challenges, and Trends. - Cong Zou; Fang Yang 001; Jian Song 004; Zhu Han 001 (IEEE Commun. Mag., 2021)

H∞ State Estimation for Round-Robin Protocol-Based Markovian Jumping Neural Networks with Mixed Time Delays. - Cong Zou; Bing Li 003; Shishi Du; Xiaofeng Chen 009 (Neural Process. Lett., 2021)

Wideband Underwater Wireless Optical Communication Based on Multi-Carrier Autoencoder. - Cong Zou; Fang Yang 001; Jian Song 004; Zhu Han 001 (IEEE Wirel. Commun. Lett., 2021)

Parameters Optimization for Impulse Noise Suppressing: A Deep Learning Based Approach. - Yue He; Cong Zou; Dejian Li; Ruilong Yao; Fang Yang 001; Jian Song 004 (BMSB, 2022)

Event-Triggered μ-state estimation for Markovian jumping neural networks with mixed time-delays. - Cong Zou; Bing Li 003; Feiyang Liu; Bingrui Xu (Appl. Math. Comput., 2022)

Spectrum Sensing for DTMB System: A CNN Approach. - Nan An; Cong Zou; Chao Zhang 009; Changyong Pan; Fang Yang 001; Jian Song 004 (IEEE Trans. Broadcast., 2022)

Aircarft Signal Feature Extraction and Recognition Based on Deep Learning. - Guanhua Wang; Cong Zou; Chao Zhang 009; Changyong Pan; Jian Song 004; Fang Yang 001 (IEEE Trans. Veh. Technol., 2022)

Underwater Optical Channel Generator: A Generative Adversarial Network Based Approach. - Cong Zou; Fang Yang 001; Jian Song 004; Zhu Han 001 (IEEE Trans. Wirel. Commun., 2022)

The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data. - Zixuan Zhu 002; Rui Wang 032; Cong Zou; Lihua Jing (ICCV, 2023)

Multi-View Predicate Recognition for Solving Semantic Ambiguity Problem in Scene Graph Generation. - Xuezhi Tong; Lihua Jing; Cong Zou; Rui Wang 032 (MCGE@MM, 2023)

Consistency-aware Feature Learning for Hierarchical Fine-grained Visual Classification. - Rui Wang 032; Cong Zou; Weizhong Zhang; Zixuan Zhu 002; Lihua Jing (ACM Multimedia, 2023)

Weight Try-Once-Discard Protocol-Based L_2 L_infinity State Estimation for Markovian Jumping Neural Networks with Partially Known Transition Probabilities. - Cong Zou; Wei Chen (CoRR, 2023)

Autoencoder for Optical Intelligent Reflecting Surface-Assisted VLC System: From Model and Data-Driven Perspectives. - Cong Zou; Fang Yang 001; Shiyuan Sun 001; Ying-Jun Angela Zhang; Jian Song 004; Zhu Han 001 (IEEE Internet Things J., 2023)

Adaptive Impulsive Noise Suppression: A Deep Learning-Based Parameters Estimation Approach. - Yue He; Cong Zou; Dejian Li; Ruilong Yao; Fang Yang 001; Jian Song 004 (IEEE Trans. Broadcast., 2023)

Underwater Wireless Optical Communication With One-Bit Quantization: A Hybrid Autoencoder and Generative Adversarial Network Approach. - Cong Zou; Fang Yang 001; Jian Song 004; Zhu Han 001 (IEEE Trans. Wirel. Commun., 2023)

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks. - Lihua Jing; Rui Wang 032; Wenqi Ren; Xin Dong 015; Cong Zou (CVPR, 2024)

Universal domain adaptation from multiple black-box sources. - Yunyun Wang; Jian Mao; Cong Zou; Xinyang Kong (Image Vis. Comput., 2024)

Cognitive process-driven model design: A deep learning recommendation model with textual review and context. - Le Wang; Xi Zhao 001; Ningning Liu; Zhihao Shen 001; Cong Zou (Decis. Support Syst., 2024)

S2CL-Leaf Net: Recognizing Leaf Images Like Human Botanists. - Cong Zou; Rui Wang 032; Cheng Jin 001; Sanyi Zhang; Xin Wang 019 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Generative Adversarial Network for Wireless Communication: Principle, Application, and Trends. - Cong Zou; Fang Yang 001; Jian Song 004; Zhu Han 001 (IEEE Commun. Mag., 2024)

Modeling Tissue Electroporation: Effects of Electric Field Direction Change Between Pulses and Increased Conductivity in Post-IRE Regions. - Fei Guo; Xinghe Gou; Cong Zou (IEEE Trans. Biomed. Eng., 2025)