Han Zhu

Orcid: 0000-0003-2035-0297

According to our database1, Han Zhu authored at least 84 papers between 2004 and 2024.

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Bibliography

2024
Security Enhancement for Deep Reinforcement Learning-Based Strategy in Energy-Efficient Wireless Sensor Networks.
Sensors, March, 2024

Boosting Cross-Domain Speech Recognition With Self-Supervision.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023
A Space Shift Keying-Based Optimization Scheme for Secure Communication in IIoT.
IEEE Syst. J., December, 2023

Learning knowledge representation with meta knowledge distillation for single image super-resolution.
J. Vis. Commun. Image Represent., September, 2023

Sustainable interior design: A new approach to intelligent design and automated manufacturing based on Grasshopper.
Comput. Ind. Eng., September, 2023

A Novel Topology for DC Electric Spring With Parallel Structure.
IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2023

Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Adversarial Spectral Super-Resolution for Multispectral Imagery Using Spatial Spectral Feature Attention Module.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Two-Way Reliable Forwarding Strategy of RIS Symbiotic Communications for Vehicular Named Data Networks.
IEEE Internet Things J., 2023

Multi-Objective Optimization of Traffic Signal Timing at Typical Junctions Based on Genetic Algorithms.
Comput. Syst. Sci. Eng., 2023

Robust Representation Learning for Unified Online Top-K Recommendation.
CoRR, 2023

Short-term power load forecasting method based on CNN-SAEDN-Res.
CoRR, 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

The VMD-CNN-Trans model used for ultra-short-term power prediction in wind farms.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL).
Proceedings of the Neural Information Processing - 30th International Conference, 2023

STHV-Net: Hypervolume Approximation based on Set Transformer.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

COPR: Consistency-Oriented Pre-Ranking for Online Advertising.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cooperative Spectrum Sensing with Deep Q-Network for Multimedia Applications.
Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023

2022
Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Feature back-projection guided residual refinement for real-time stereo matching network.
Signal Process. Image Commun., 2022

Surge Pricing and Two-Sided Temporal Responses in Ride Hailing.
Manuf. Serv. Oper. Manag., 2022

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report.
CoRR, 2022

Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution.
CoRR, 2022

WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models.
CoRR, 2022

A simple heuristic policy for stochastic inventory systems with both minimum and maximum order quantity requirements.
Ann. Oper. Res., 2022

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Sequence Distribution Matching for Unsupervised Domain Adaptation in ASR.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

Decoupled Federated Learning for ASR with Non-IID Data.
Proceedings of the Interspeech 2022, 2022

Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR.
Proceedings of the Interspeech 2022, 2022


Robust Graph Embedding Recommendation Against Data Poisoning Attack.
Proceedings of the Big Data Intelligence and Computing, 2022

Adaptive Domain Interest Network for Multi-domain Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
When Serverless Computing Meets Edge Computing: Architecture, Challenges, and Open Issues.
IEEE Wirel. Commun., 2021

Technical Note-A Simple Heuristic Policy for Stochastic Distribution Inventory Systems with Fixed Shipment Costs.
Oper. Res., 2021

Service segment competition: size or value, which matters?
Int. J. Prod. Res., 2021

Wav2vec-S: Semi-Supervised Pre-Training for Speech Recognition.
CoRR, 2021

Context-aware Tree-based Deep Model for Recommender Systems.
CoRR, 2021

Truncation-Free Matching System for Display Advertising at Alibaba.
CoRR, 2021

Construction of Innovation and Entrepreneurship Education System for Agriculture Related Majors in Higher Vocational Colleges Based on Internet and Information Technology.
Proceedings of the ICISCAE 2021: 4th International Conference on Information Systems and Computer Aided Education, Dalian, China, September 24, 2021

Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Text Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Survey of Optimization Methods From a Machine Learning Perspective.
IEEE Trans. Cybern., 2020

Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Domain Adaptation Using Class Similarity for Robust Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Learning Optimal Tree Models under Beam Search.
Proceedings of the 37th International Conference on Machine Learning, 2020

Residual Convolutional Neural Network Based In-Loop Filter with Intra and Inter Frames Processed Respectively for Avs3.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

2019
Visual Quality Evaluation for Semantic Segmentation: Subjective Assessment Database and Objective Assessment Measure.
IEEE Trans. Image Process., 2019

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-Accent Adaptation Based on Gate Mechanism.
Proceedings of the Interspeech 2019, 2019

2018
A novel asphalt pavement crack detection algorithm based on multi-feature test of cross-section image.
Traitement du Signal, 2018

Outpatient appointment scheduling with unpunctual patients.
Int. J. Prod. Res., 2018

Learning Tree-based Deep Model for Recommender Systems.
CoRR, 2018

Numerical Simulation of Fatigue Performance of Diaphragm of Large-Span Bridge Orthotropic Deck.
Complex., 2018

Dense Residual Convolutional Neural Network based In-Loop Filter for HEVC.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

Learning Tree-based Deep Model for Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Interest Network for Click-Through Rate Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

CNN-Optimized Image Compression with Uncertainty based Resource Allocation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Identification of information search strategies and their impact on learning outcome in learning-related tasks.
Proceedings of the Building & Sustaining an Ethical Future with Emerging Technology, 2018

2017
Deep Interest Network for Click-Through Rate Prediction.
CoRR, 2017

Optimized Cost per Click in Taobao Display Advertising.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Deep Transfer Learning with Joint Adaptation Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Constraint-Variance Tolerant Data Repairing.
Proceedings of the 2016 International Conference on Management of Data, 2016

Unsupervised Domain Adaptation with Residual Transfer Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Correlation Autoencoder Hashing for Supervised Cross-Modal Search.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Deep Hashing Network for Efficient Similarity Retrieval.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deep Quantization Network for Efficient Image Retrieval.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Thermal-aware load balancing in a server rack.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
The Name-Passing Calculus.
CoRR, 2015

Thermal-aware load provisioning for server clusters by using model predictive control.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014
Probabilistic correlation-based similarity measure on text records.
Inf. Sci., 2014

2011
Towards Denotational Semantics for Verilog in PVS.
Proceedings of the Fifth International Conference on Secure Software Integration and Reliability Improvement, 2011

Phobetor: Princeton University's entry in the 2010 Intelligent Ground Vehicle Competition.
Proceedings of the Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, 2011

2010
Formal Modeling and Verifications of Deadlock Prevention Solutions in Web Service Oriented System.
Proceedings of the 17th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, 2010

2009
Axiomatic Systems for the Bisimilarity on Finite Fair Ambient Processes.
J. Comput., 2009

Applying a testing approach to the Calculus of Fair Ambients.
Int. J. Comput. Math., 2009

Formal Approaches to Deadlock Analysis in Competitions of Shared Web Resources.
Proceedings of the TASE 2009, 2009

Knowledge Aware Bisimulation and Anonymity.
Proceedings of the Computational Science, 2009

2008
An Open Approach for the Applied Pi Calculus.
J. Softw., 2008

2005
A Generic Model for Analyzing Security Protocols.
Proceedings of the Computer Network Security, 2005

2004
Procedural Texture Evolution Using Multi-objective Optimization.
New Gener. Comput., 2004


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