Cheng-Hao Tu

Jiangxi Normal University — China

Computer Science · Physical Sciences

7h-index302citations25works1.42yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(9), Advanced Image and Video Retrieval Techniques(5), Multimodal Machine Learning Applications(5), Video Surveillance and Tracking Methods(3), Human Pose and Action Recognition(3)

Publications25 total

Multi-step Fusion of Relation Type Information and Multi-Task Decoding for Entity Relation Extraction in ancient Chinese
2025· 2 cited
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs
2024· 3 cited
Fine-Tuning is Fine, if Calibrated
arXiv (Cornell University)·2024· 1 citedOpen Access
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
arXiv (Cornell University)·2024Open Access
Fine-Tuning is Fine, if Calibrated
2024· 1 cited
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs
arXiv (Cornell University)·2023· 1 citedOpen Access
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
arXiv (Cornell University)·2023· 1 citedOpen Access
Defect Detection Using Deep Lifelong Learning
2021· 5 cited
Learning Binary Hash Codes Based on Adaptable Label Representations
IEEE Transactions on Neural Networks and Learning Systems·2021· 11 cited
SemanticHash: Hash Coding Via Semantics-Guided Label Prototype Learning
IEEE Transactions on Artificial Intelligence·2021· 9 cited
Extending Conditional Convolution Structures For Enhancing Multitasking Continual Learning
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference·2020· 4 cited
Pruning Depthwise Separable Convolutions for MobileNet Compression
2020· 25 cited
Compacting, Picking and Growing for Unforgetting Continual Learning
arXiv (Cornell University)·2019· 134 citedOpen Access
Pruning Depthwise Separable Convolutions for Extra Efficiency Gain of Lightweight Models
2019
Adaptive Labeling For Hash Code Learning Via Neural Networks
2019· 2 cited
Two-Stage Multi-Task Deep Convolutional Neural Networks for Robot Arm Grasping
2019
Adaptive Labeling for Deep Learning to Hash
2019· 9 cited
IdenNet: Identity-Aware Facial Action Unit Detection
2019· 20 cited
Compacting, Picking and Growing for Unforgetting Continual Learning
arXiv (Cornell University)·2019· 72 citedOpen Access
Supervised Representation Hash Codes Learning
Communications in computer and information science·2019
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Frequent Co-authors

Chu‐Song Chen(9), Huei‐Fang Yang(6), Wei‐Lun Chao(6), Vardaan Pahuja(5), Tanya Berger‐Wolf(5), Charles V. Stewart(5), Yi-Ming Chan(4), Hong-You Chen(4), Song Gao(4), Zheda Mai(4), Cheng‐En Wu(3), Hsin‐Yue Tsai(3), Chien‐Hung Chen(2), Chu-Song Chen(2), Jia‐Hong Lee(2), Weidi Luo(2), Yu Gu(2), Yu Su(2), Arpita Chowdhury(2), Ping Zhang(2)