Search Results - "Lan, Zhenzhong"
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1
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition
Published in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2015)“…Most state-of-the-art action feature extractors involve differential operators, which act as highpass filters and tend to attenuate low frequency action…”
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Conference Proceeding -
2
Beyond Binary Classification: A Fine-Grained Safety Dataset for Large Language Models
Published in IEEE access (2024)“…Large Language Models (LLMs) excel in interactive chat scenarios due to their advanced conversational abilities. However, their training process invariably…”
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Journal Article -
3
Deep Local Video Feature for Action Recognition
Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (01-07-2017)“…We investigate the problem of representing an entire video using CNN features for human action recognition. End-to-end learning of CNN/RNNs is currently not…”
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Conference Proceeding -
4
Deep Graph Convolutional Network for Small-Molecule Retention Time Prediction
Published in Journal of Chromatography A (22-11-2023)“…The retention time (RT) is a crucial source of data for liquid chromatography-mass spectrometry (LCMS). A model that can accurately predict the RT for each…”
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Journal Article -
5
Poincaré Kernels for Hyperbolic Representations
Published in International journal of computer vision (01-11-2023)“…Embedding data in hyperbolic spaces has proven beneficial for many advanced machine learning applications. However, working in hyperbolic spaces is not without…”
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Journal Article -
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Beyond a strong baseline: cross-modality contrastive learning for visible-infrared person re-identification
Published in Machine vision and applications (01-11-2023)“…Cross-modality pedestrian image matching, which entails the matching of visible and infrared images, is a vital area in person re-identification (reID) due to…”
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Coking and gas products behavior of supercritical n-decane over NiO nanoparticle/nanosheets modified HZSM-5
Published in Energy (Oxford) (01-02-2020)“…Endothermic hydrocarbon fuel of active thermal protection has great potential in cooling system. The bottlenecks for the practical application are the…”
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Air-to-Air Visual Detection of Micro-UAVs: An Experimental Evaluation of Deep Learning
Published in IEEE robotics and automation letters (01-04-2021)“…This letter studies the problem of air-to-air visual detection of micro unmanned aerial vehicles (UAVs) by monocular cameras. This problem is important for…”
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9
Offline prompt polishing for low quality instructions
Published in Neurocomputing (Amsterdam) (14-09-2024)“…Instruction-tuning is an effective avenue for making large language models (LLMs) better at following real users’ instructions. However, it is challenging in…”
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Co3O4 Nanosheet Wrapped Commercial HZSM‑5 for Promoting Catalytic Cracking of n‑Decane and Anticoking Activities
Published in ACS applied energy materials (27-08-2018)“…Endothermic hydrocarbon fuel has many advantages as a cooling medium in hypersonic aircraft; however substantial application has been greatly hindered due to…”
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11
Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring
Published in Methods in ecology and evolution (28-10-2024)“…Abstract We need comprehensive information to manage and protect biodiversity in the face of global environmental challenges, and artificial intelligence is…”
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12
Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions
Published 28-08-2024“…Virtual counselors powered by large language models (LLMs) aim to create interactive support systems that effectively assist clients struggling with mental…”
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13
Co 3 O 4 Nanosheet Wrapped Commercial HZSM-5 for Promoting Catalytic Cracking of n -Decane and Anticoking Activities
Published in ACS applied energy materials (27-08-2018)Get full text
Journal Article -
14
Transferred Feature Selection
Published in 2009 IEEE International Conference on Data Mining Workshops (01-12-2009)“…Traditional feature selection algorithms require a large number of labeled training instances to find out the most informative subset of features. However, in…”
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Conference Proceeding -
15
S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding
Published 23-11-2021“…Contrastive learning has been studied for improving the performance of learning sentence embeddings. The current state-of-the-art method is the SimCSE, which…”
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16
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling
Published 30-09-2024“…As awareness of mental health issues grows, online counseling support services are becoming increasingly prevalent worldwide. Detecting whether users express…”
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E-LAMP: integration of innovative ideas for multimedia event detection
Published in Machine vision and applications (2014)“…Detecting multimedia events in web videos is an emerging hot research area in the fields of multimedia and computer vision. In this paper, we introduce the…”
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18
Extending Semi-supervised Learning Methods for Inductive Transfer Learning
Published in 2009 Ninth IEEE International Conference on Data Mining (01-12-2009)“…Inductive transfer learning and semi-supervised learning are two different branches of machine learning. The former tries to reuse knowledge in labeled…”
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Conference Proceeding -
19
Contrastive Learning of Sentence Embeddings from Scratch
Published 24-05-2023“…Contrastive learning has been the dominant approach to train state-of-the-art sentence embeddings. Previous studies have typically learned sentence embeddings…”
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20
Value Residual Learning For Alleviating Attention Concentration In Transformers
Published 23-10-2024“…Transformers can capture long-range dependencies using self-attention, allowing tokens to attend to all others directly. However, stacking multiple attention…”
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