Haocheng Tang

According to our database, Haocheng Tang authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics.

Haocheng Tang, Liang Shi, Ya-Shi Zhang, Xixian Liu, Jian Tang, Jiarui Lu

CoRR, April, 2026

Fine-tuning DeepSeek-OCR-2 for Molecular Structure Recognition.

Haocheng Tang, Xingyu Dang, Junmei Wang

CoRR, April, 2026

Parallax to Align Them All: An OmniParallax Attention Mechanism for Distributed Multi-View Image Compression.

Haotian Zhang, Feiyue Long, Yixin Yu, Jian Xue, Haocheng Tang, Tongda Xu, Zhenning Shi, Yan Wang, Siwei Ma, Jiaqi Zhang

CoRR, March, 2026

A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein-Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases.

Yue Liu, Haocheng Tang, Taoyu Niu, Junmei Wang

J. Chem. Inf. Model., 2026

Fusion-regularized alignment modality-adaptive audio-visual network for audio-visual zero-shot learning.

Siteng Ma, Xiaoyu Niu, Haocheng Tang, Zhe Yang, Jisheng Chu, Wenrui Li

Neurocomputing, 2026

Lightweight CNN-Based In-Loop Filtering for Video Coding with Hardware-Aware Optimizations.

Xiaolong Zhang, Yanchen Zhao, Xuewei Meng, Jiaqi Zhang, Haocheng Tang, Lin Li, Qi Wang, Siwei Ma

Proceedings of the Data Compression Conference, 2026

Efficient Feedforward Human-Centric Video Compression via 3D Gaussian Generation.

Haocheng Tang, Ruoke Yan, Xiaolong Zhang, Jiaqi Zhang, Qi Wang, Lili Chen, Siwei Ma

Proceedings of the Data Compression Conference, 2026

2025

NNKcat: deep neural network to predict catalytic constants (Kcat) by integrating protein sequence and substrate structure with enhanced data imbalance handling.

Jingchen Zhai, Xiguang Qi, Lianjin Cai, Yue Liu, Haocheng Tang, Lei Xie, Junmei Wang

Briefings Bioinform., May, 2025

Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation.

Haocheng Tang, Jing Long, Junmei Wang

CoRR, February, 2025

Auxiliary Discrminator Sequence Generative Adversarial Networks for Few Sample Molecule Generation.

Haocheng Tang, Jing Long, Beihong Ji, Junmei Wang

J. Chem. Inf. Model., 2025

HGC-Avatar: Hierarchical Gaussian Compression for Streamable Dynamic 3D Avatars.

Haocheng Tang, Ruoke Yan, Xinhui Yin, Qi Zhang, Xinfeng Zhang, Siwei Ma, Wen Gao, Chuanmin Jia

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2023

KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning.

Yang An, Haocheng Tang, Bo Jin, Yi Xu, Xiaopeng Wei

BMC Medical Informatics Decis. Mak., December, 2023

A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification.

Jianping Zhu, Haocheng Tang, Liang Zhang, Bo Jin, Yi Xu, Xiaopeng Wei

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Evaluation System Framework of Artificial Intelligence Applications in Medical Diagnosis and Treatment.

Xueqing Tian, Haocheng Tang, Long Cheng, Zirui Liao, Yuxiao Li, Jing He, Ping Ren, Mao You, Zhen Pang

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2018

Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification.

Hanfang Yang, Xiangdong Zhou, Lan Lin, Bo Yao, Zijing Tan, Haocheng Tang, Yingjie Tian

Proceedings of the Database Systems for Advanced Applications, 2018