End-to-end Optimized Image Compression with Attention Mechanism. - Lei Zhou; Zhenhong Sun; Xiangji Wu; Junmin Wu (CVPR Workshops, 2019)

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. - Ming Lin 002; Pichao Wang; Zhenhong Sun; Hesen Chen; Xiuyu Sun; Qi Qian 001; Hao Li 030; Rong Jin 001 (ICCV, 2021)

Learning Accurate Entropy Model with Global Reference for Image Compression. - Yichen Qian; Zhiyu Tan; Xiuyu Sun; Ming Lin 002; Dongyang Li; Zhenhong Sun; Hao Li 030; Rong Jin 001 (ICLR, 2021)

Interpolation Variable Rate Image Compression. - Zhenhong Sun; Zhiyu Tan; Xiuyu Sun; Fangyi Zhang; Yichen Qian; Dongyang Li; Hao Li 030 (ACM Multimedia, 2021)

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. - Ming Lin 002; Pichao Wang; Zhenhong Sun; Hesen Chen; Xiuyu Sun; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2021)

Spatiotemporal Entropy Model is All You Need for Learned Video Compression. - Zhenhong Sun; Zhiyu Tan; Xiuyu Sun; Fangyi Zhang; Dongyang Li; Yichen Qian; Hao Li 030 (CoRR, 2021)

Revisiting Efficient Object Detection Backbones from Zero-Shot Neural Architecture Search. - Zhenhong Sun; Ming Lin 002; Xiuyu Sun; Zhiyu Tan; Rong Jin 001 (CoRR, 2021)

Jmpnet: Joint Motion Prediction for Learning-Based Video Compression. - Dongyang Li; Zhenhong Sun; Zhiyu Tan; Xiuyu Sun; Fangyi Zhang; Yichen Qian; Hao Li 030 (ICASSP, 2022)

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection. - Zhenhong Sun; Ming Lin 002; Xiuyu Sun; Zhiyu Tan; Hao Li 030; Rong Jin 001 (ICML, 2022)

Entropy-Driven Mixed-Precision Quantization for Deep Network Design. - Zhenhong Sun; Ce Ge; Junyan Wang 001; Ming C. Lin; Hesen Chen; Hao Li 030; Xiuyu Sun (NeurIPS, 2022)

Estimation of Quantum Channels Using Neural Networks. - Hailan Ma; Zhenhong Sun; Shuixin Xiao; Daoyi Dong; Ian R. Petersen (CDC, 2023)

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. - Junyan Wang 001; Zhenhong Sun; Yichen Qian; Dong Gong; Xiuyu Sun; Ming C. Lin; Maurice Pagnucco; Yang Song 001 (ICLR, 2023)

Attention-Based Transformer Networks for Quantum State Tomography. - Hailan Ma; Zhenhong Sun; Daoyi Dong; Chunlin Chen; Herschel Rabitz (CoRR, 2023)

Learning Informative Latent Representation for Quantum State Tomography. - Hailan Ma; Zhenhong Sun; Daoyi Dong; Dong Gong (CoRR, 2023)

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation. - Junyan Wang 001; Zhenhong Sun; Zhiyu Tan; Xuanbai Chen; Weihua Chen; Hao Li 030; Cheng Zhang 014; Yang Song 001 (CVPR, 2024)

EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance. - Zhenhong Sun; Junyan Wang 001; Zhiyu Tan; Daoyi Dong; Hailan Ma; Hao Li 030; Dong Gong (ACM Multimedia, 2024)

T3-S2S: Training-free Triplet Tuning for Sketch to Scene Generation. - Zhenhong Sun; Yifu Wang; Yonhon Ng; Yunfei Duan; Daoyi Dong; Hongdong Li; Pan Ji (CoRR, 2024)

Power Transmission Corridors Wildfire Detection for Multi-Scale Fusion and Adaptive Texture Learning Based on Transformers. - Yicen Liu; Xi Liu; Zhikun Zheng; Shimin Luo; Yongjun Xiao; Shuxian Wang; Xiaojiang Liu; Zhenhong Sun (IEEE Access, 2025)

Hierarchical and Step-Layer-Wise Tuning of Attention Specialty for Multi-Instance Synthesis in Diffusion Transformers. - Chunyang Zhang; Zhenhong Sun; Zhicheng Zhang; Junyan Wang 001; Yu Zhang 217; Dong Gong; Huadong Mo; Daoyi Dong (CoRR, 2025)

Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision. - Shilin Zhang; Zican Hu; Wenhao Wu; Xinyi Xie; Jianxiang Tang; Chunlin Chen; Daoyi Dong; Yu Cheng; Zhenhong Sun; Zhi Wang (CoRR, 2025)

Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer. - Hailan Ma; Zhenhong Sun; Daoyi Dong; Chunlin Chen; Herschel Rabitz (IEEE Trans. Cybern., 2025)

Learning hierarchical time-frequency representation for long-term time series forecasting. - Zhongju Wang; Zhenhong Sun; Yatao Bian; Huadong Mo; Daoyi Dong (Inf. Process. Manag., 2026)