Lu Hou

Orcid: 0000-0003-3085-9353

According to our database1, Lu Hou authored at least 89 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Masked Token Enabled Pre-Training: A Task-Agnostic Approach for Understanding Complex Traffic Flow.
IEEE Trans. Mob. Comput., December, 2024

Quantum Algorithms for the Multiplication of Circulant Matrices and Vectors.
Inf., August, 2024

Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Embedding Compression in Recommender Systems: A Survey.
ACM Comput. Surv., May, 2024

Digital Retina for IoV Towards 6G: Architecture, Opportunities, and Challenges.
IEEE Netw., March, 2024

FastAttention: Extend FlashAttention2 to NPUs and Low-resource GPUs.
CoRR, 2024

FlatQuant: Flatness Matters for LLM Quantization.
CoRR, 2024

UNIT: Unifying Image and Text Recognition in One Vision Encoder.
CoRR, 2024

HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models.
CoRR, 2024

DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models.
CoRR, 2024

OAC: Output-adaptive Calibration for Accurate Post-training Quantization.
CoRR, 2024

Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality.
CoRR, 2024

Visually Guided Generative Text-Layout Pre-training for Document Intelligence.
CoRR, 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric.
CoRR, 2024

Design and Implementation of an IoT System for Monitoring Ecological Environment.
IEEE Access, 2024

Visually Guided Generative Text-Layout Pre-training for Document Intelligence.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Amplitude Transformation of Quantum State Based on QSVT.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TempCompass: Do Video LLMs Really Understand Videos?
Proceedings of the Findings of the Association for Computational Linguistics, 2024

IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Extending Context Window of Large Language Models via Semantic Compression.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Dynamic Beam-Based Random Access Scheme for M2M Communications in Massive MIMO Systems.
IEEE Trans. Veh. Technol., November, 2023

A Novel Blockchain-Assisted Aggregation Scheme for Federated Learning in IoT Networks.
IEEE Internet Things J., October, 2023

Segmentation Is Not the End of Road Extraction: An All-Visible Denoising Autoencoder for Connected and Smooth Road Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2023

PAN-Guided Multiresolution Fusion Network Using Swin Transformer for Pansharpening.
IEEE Geosci. Remote. Sens. Lett., 2023

CTRL: Connect Tabular and Language Model for CTR Prediction.
CoRR, 2023

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Structured Pruning for Efficient Generative Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

mCLIP: Multilingual CLIP via Cross-lingual Transfer.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Vulnerability Analysis of Smart Contract for Blockchain-Based IoT Applications: A Machine Learning Approach.
IEEE Internet Things J., 2022

A DQN-Based Consensus Mechanism for Blockchain in IoT Networks.
IEEE Internet Things J., 2022

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.
CoRR, 2022

Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework.
CoRR, 2022

Extracting Requirements Models from Natural-Language Document for Embedded Systems.
Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 2022

An Ensemble Learning-based Short-Term Load Forecasting on Small Datasets.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Efficient Post-training Quantization of Pre-trained Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Low-Complexity Code Clone Detection using Graph-based Neural Networks.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

KPE-GCN: A Keyphrase-Enhanced Graph Convolutional Network for Imbalanced Text Classification.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

FILIP: Fine-grained Interactive Language-Image Pre-Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Scenario-Based and Question-Driven Explanations in Autonomous Vehicles.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2022

LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Federated Reinforcement Learning-Based Radio Resource Scheduling for Short Video Applications.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

Sparse Factor Graph-Based Expanded Iterative Detection and Decoding Scheme for Uplink Polar Coded SCMA System.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

Compression of Generative Pre-trained Language Models via Quantization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Design and Prototype Implementation of a Blockchain-Enabled LoRa System With Edge Computing.
IEEE Internet Things J., 2021

An Intelligent Transaction Migration Scheme for RAFT-Based Private Blockchain in Internet of Things Applications.
IEEE Commun. Lett., 2021

Improved OOD Generalization via Adversarial Training and Pre-training.
CoRR, 2021

Design and Prototype Implementation of a Blockchain-Enabled LoRa System With Edge Computing.
CoRR, 2021

User and Service Classification in Power Grid Management System based on Random Forest.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Improved OOD Generalization via Adversarial Training and Pretraing.
Proceedings of the 38th International Conference on Machine Learning, 2021

Reweighting Augmented Samples by Minimizing the Maximal Expected Loss.
Proceedings of the 9th International Conference on Learning Representations, 2021

GhostBERT: Generate More Features with Cheap Operations for BERT.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BinaryBERT: Pushing the Limit of BERT Quantization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Resource Allocation Based on Deep Reinforcement Learning in IoT Edge Computing.
IEEE J. Sel. Areas Commun., 2020

BinaryBERT: Pushing the Limit of BERT Quantization.
CoRR, 2020

DynaBERT: Dynamic BERT with Adaptive Width and Depth.
CoRR, 2020

Design and Implementation on a LoRa System with Edge Computing.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

DynaBERT: Dynamic BERT with Adaptive Width and Depth.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

TernaryBERT: Distillation-aware Ultra-low Bit BERT.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
A $Q$ -Learning-Based Proactive Caching Strategy for Non-Safety Related Services in Vehicular Networks.
IEEE Internet Things J., 2019

Design and Implementation of Open LoRa for IoT.
IEEE Access, 2019

A Novel Rate and Channel Control Scheme Based on Data Extraction Rate for LoRa Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Normalization Helps Training of Quantized LSTM.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Analysis of Quantized Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

An Improved Secure Key Management Scheme for LoRa System.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

2018
Collaborative Edge Caching through Service Function Chaining: Architecture and Challenges.
IEEE Wirel. Commun., 2018

X-LoRa: An Open Source LPWA Network.
CoRR, 2018

Power Law in Sparsified Deep Neural Networks.
CoRR, 2018

A Group-Based Massive Multiple Access Scheme in Cellular M2M Networks.
Comput. Commun., 2018

A Continuous-Time Markov decision process-based resource allocation scheme in vehicular cloud for mobile video services.
Comput. Commun., 2018

Loss-aware Weight Quantization of Deep Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Design and implementation of application programming interface for Internet of things cloud.
Int. J. Netw. Manag., 2017

Loss-aware Binarization of Deep Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Design and Implementation of Smart Irrigation System Based on LoRa.
Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

Design on Publish/Subscribe Message Dissemination for Vehicular Networks with Mobile Edge Computing.
Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

2016
Soft-defined heterogeneous vehicular network: architecture and challenges.
IEEE Netw., 2016

A nonhomogeneous hidden Markov model of response dynamics and mailing optimization in direct marketing.
Eur. J. Oper. Res., 2016

Internet of Things Cloud: Architecture and Implementation.
IEEE Commun. Mag., 2016

Efficient Learning of Timeseries Shapelets.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Reliable and efficient autonomous driving: the need for heterogeneous vehicular networks.
IEEE Commun. Mag., 2015

Foodservice Management of Health Industries Based on Customer Satisfaction.
Proceedings of the Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 2015


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