Hancheng Ye

According to our database, Hancheng Ye authored at least 16 papers between 2022 and 2024.

Collaborative distances:

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

2024

Revisiting 3D visual grounding with Context-aware Feature Aggregation.

Peng Guo, Hongyuan Zhu, Hancheng Ye, Taihao Li, Tao Chen

Neurocomputing, 2024

CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation.

Qinsi Wang, Saeed Vahidian, Hancheng Ye, Jianyang Gu, Jianyi Zhang, Yiran Chen

CoRR, 2024

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy.

Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang

CoRR, 2024

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models.

Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao

CoRR, 2024

ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning.

Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao

CoRR, 2024

CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection.

Sikai Wu, Fukun Yin, Hancheng Ye, Tao Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Enhanced Sparsification via Stimulative Training.

Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression.

Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation.

Zhen Mei, Peng Ye, Hancheng Ye, Baopu Li, Jinyang Guo, Tao Chen, Wanli Ouyang

IEEE Trans. Circuits Syst. Video Technol., October, 2023

Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs.

Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Exploring Kernel-Based Texture Transfer for Pose-Guided Person Image Generation.

Jiaxiang Chen, Jiayuan Fan, Hancheng Ye, Jie Li, Yongbin Liao, Tao Chen

IEEE Trans. Multim., 2023

Efficient Architecture Search via Bi-level Data Pruning.

Chongjun Tu, Peng Ye, Weihao Lin, Hancheng Ye, Chong Yu, Tao Chen, Baopu Li, Wanli Ouyang

CoRR, 2023

Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction.

Jingdong Zhang, Jiayuan Fan, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen

CoRR, 2023

2022

Sample-Centric Feature Generation for Semi-Supervised Few-Shot Learning.

Bo Zhang, Hancheng Ye, Gang Yu, Bin Wang, Yike Wu, Jiayuan Fan, Tao Chen

IEEE Trans. Image Process., 2022

3DVAR Aerosol Data Assimilation and Evaluation Using Surface PM2.5, Himawari-8 AOD and CALIPSO Profile Observations in the North China.

Zengliang Zang, Wei You, Hancheng Ye, Yanfei Liang, Yi Li, Daichun Wang, Yiwen Hu, Peng Yan

Remote. Sens., 2022

Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation.

Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li

CoRR, 2022