Lu Hou

According to our database, Lu Hou authored at least 76 papers between 2015 and 2024.

Collaborative distances:

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

2024

Embedding Compression in Recommender Systems: A Survey.

Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang

ACM Comput. Surv., May, 2024

Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality.

Sishuo Chen, Lei Li, Shuhuai Ren, Rundong Gao, Yuanxin Liu, Xiaohan Bi, Xu Sun, Lu Hou

CoRR, 2024

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

Zhiming Mao, Haoli Bai, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu, Kam-Fai Wong

CoRR, 2024

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

Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun

CoRR, 2024

IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact.

Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan

CoRR, 2024

TempCompass: Do Video LLMs Really Understand Videos?

Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou

CoRR, 2024

Digital Retina for IoV Towards 6G: Architecture, Opportunities, and Challenges.

Kan Zheng, Jie Mei, Haojun Yang, Lu Hou, Siwei Ma

CoRR, 2024

2023

Dynamic Beam-Based Random Access Scheme for M2M Communications in Massive MIMO Systems.

Kan Zheng, Haojun Yang, Xiong Xiong, Jie Mei, Lu Hou, Kuan Zhang

IEEE Trans. Veh. Technol., November, 2023

A Novel Blockchain-Assisted Aggregation Scheme for Federated Learning in IoT Networks.

Zhiming Liu, Kan Zheng, Lu Hou, Haojun Yang, Kan Yang

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.

Lingyi Han, Lu Hou, Xiangxiang Zheng, Ziyue Ding, Haojun Yang, Kan Zheng

IEEE Trans. Geosci. Remote. Sens., 2023

PAN-Guided Multiresolution Fusion Network Using Swin Transformer for Pansharpening.

Lu Hou, Bo Zhang, Bin Wang

IEEE Geosci. Remote. Sens. Lett., 2023

Extending Context Window of Large Language Models via Semantic Compression.

Weizhi Fei, Xueyan Niu, Pingyi Zhou, Lu Hou, Bo Bai, Lei Deng, Wei Han

CoRR, 2023

TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.

Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou

CoRR, 2023

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models.

Shicheng Li, Lei Li, Shuhuai Ren, Yuanxin Liu, Yi Liu, Rundong Gao, Xu Sun, Lu Hou

CoRR, 2023

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.

Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou

CoRR, 2023

CTRL: Connect Tabular and Language Model for CTR Prediction.

Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang

CoRR, 2023

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.

Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou

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.

Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Structured Pruning for Efficient Generative Pre-trained Language Models.

Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

mCLIP: Multilingual CLIP via Cross-lingual Transfer.

Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang

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.

Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Yifeng Luo, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu

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.

Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li

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.

Qihao Zhou, Kan Zheng, Kuan Zhang, Lu Hou, Xianbin Wang

IEEE Internet Things J., 2022

A DQN-Based Consensus Mechanism for Blockchain in IoT Networks.

Zhiming Liu, Lu Hou, Kan Zheng, Qihao Zhou, Shiwen Mao

IEEE Internet Things J., 2022

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

Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu

CoRR, 2022

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

Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu

CoRR, 2022

Extracting Requirements Models from Natural-Language Document for Embedded Systems.

Chunhui Wang, Lu Hou, Xiaohong Chen

Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 2022

An Ensemble Learning-based Short-Term Load Forecasting on Small Datasets.

Han Meng, Lingyi Han, Lu Hou

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark.

Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu

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.

Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu

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.

Hu Liu, Hui Zhao, Changhao Han, Lu Hou

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

KPE-GCN: A Keyphrase-Enhanced Graph Convolutional Network for Imbalanced Text Classification.

HuaXuan Zhao, Hui Zhao, Lu Hou

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

FILIP: Fine-grained Interactive Language-Image Pre-Training.

Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Scenario-Based and Question-Driven Explanations in Autonomous Vehicles.

Yiwen Zhang, Weiwei Guo, Cheng Chi, Lu Hou, Xiaohua Sun

Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2022

LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling.

Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Federated Reinforcement Learning-Based Radio Resource Scheduling for Short Video Applications.

Qiang Liang, Hui Zhao, Lu Hou

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.

Zhiyan Chen, Hui Zhao, Lu Hou

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

Compression of Generative Pre-trained Language Models via Quantization.

Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong

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.

Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung

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.

Lu Hou, Kan Zheng, Zhiming Liu, Xiaojun Xu, Tao Wu

IEEE Internet Things J., 2021

An Intelligent Transaction Migration Scheme for RAFT-Based Private Blockchain in Internet of Things Applications.

Lu Hou, Xiaojun Xu, Kan Zheng, Xianbin Wang

IEEE Commun. Lett., 2021

Improved OOD Generalization via Adversarial Training and Pre-training.

Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

CoRR, 2021

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

Lu Hou, Kan Zheng, Zhiming Liu, Xiaojun Xu

CoRR, 2021

User and Service Classification in Power Grid Management System based on Random Forest.

Yansheng Qu, Xingfang Cheng, Yunxiao Wang, Hua Sheng, Wenbin Zhang, Lu Hou, Jian Meng, Xie Wang

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.

Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma

Proceedings of the 38th International Conference on Machine Learning, 2021

Reweighting Augmented Samples by Minimizing the Maximal Expected Loss.

Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

Proceedings of the 9th International Conference on Learning Representations, 2021

GhostBERT: Generate More Features with Cheap Operations for BERT.

Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

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.

Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King

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.

Xiong Xiong, Kan Zheng, Lei Lei, Lu Hou

IEEE J. Sel. Areas Commun., 2020

BinaryBERT: Pushing the Limit of BERT Quantization.

Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King

CoRR, 2020

DynaBERT: Dynamic BERT with Adaptive Width and Depth.

Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2020

Design and Implementation on a LoRa System with Edge Computing.

Zhiming Liu, Qihao Zhou, Lu Hou, Rongtao Xu, Kan Zheng

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

DynaBERT: Dynamic BERT with Adaptive Width and Depth.

Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

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.

Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu

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.

Lu Hou, Lei Lei, Kan Zheng, Xianbin Wang

IEEE Internet Things J., 2019

Design and Implementation of Open LoRa for IoT.

Qihao Zhou, Kan Zheng, Lu Hou, Jinyu Xing, Rongtao Xu

IEEE Access, 2019

A Novel Rate and Channel Control Scheme Based on Data Extraction Rate for LoRa Networks.

Qihao Zhou, Jinyu Xing, Lu Hou, Rongtao Xu, Kan Zheng

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Normalization Helps Training of Quantized LSTM.

Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Analysis of Quantized Models.

Lu Hou, Ruiliang Zhang, James T. Kwok

Proceedings of the 7th International Conference on Learning Representations, 2019

An Improved Secure Key Management Scheme for LoRa System.

Jinyu Xing, Lu Hou, Kuan Zhang, Kan Zheng

Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

2018

Collaborative Edge Caching through Service Function Chaining: Architecture and Challenges.

Lei Lei, Xiong Xiong, Lu Hou, Kan Zheng

IEEE Wirel. Commun., 2018

X-LoRa: An Open Source LPWA Network.

Qihao Zhou, Kan Zheng, Lu Hou, Jinyu Xing, Rongtao Xu

CoRR, 2018

Power Law in Sparsified Deep Neural Networks.

Lu Hou, James T. Kwok

CoRR, 2018

A Group-Based Massive Multiple Access Scheme in Cellular M2M Networks.

Xiong Xiong, Lu Hou, Long Zhao

Comput. Commun., 2018

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

Lu Hou, Kan Zheng, Periklis Chatzimisios, Yi Feng

Comput. Commun., 2018

Loss-aware Weight Quantization of Deep Networks.

Lu Hou, James T. Kwok

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Design and implementation of application programming interface for Internet of things cloud.

Lu Hou, Shaohang Zhao, Xing Li, Periklis Chatzimisios, Kan Zheng

Int. J. Netw. Manag., 2017

Loss-aware Binarization of Deep Networks.

Lu Hou, Quanming Yao, James T. Kwok

Proceedings of the 5th International Conference on Learning Representations, 2017

Design and Implementation of Smart Irrigation System Based on LoRa.

Wenju Zhao, Shengwei Lin, Jiwen Han, Rongtao Xu, Lu Hou

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.

Lu Hou, Lei Lei, Kan Zheng

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

2016

Soft-defined heterogeneous vehicular network: architecture and challenges.

Kan Zheng, Lu Hou, Hanlin Meng, Qiang Zheng, Ning Lu, Lei Lei

IEEE Netw., 2016

A nonhomogeneous hidden Markov model of response dynamics and mailing optimization in direct marketing.

Shaohui Ma, Lu Hou, Wensong Yao, Baozhen Lee

Eur. J. Oper. Res., 2016

Internet of Things Cloud: Architecture and Implementation.

Lu Hou, Shaohang Zhao, Xiong Xiong, Kan Zheng, Periklis Chatzimisios, M. Shamim Hossain, Wei Xiang

IEEE Commun. Mag., 2016

Efficient Learning of Timeseries Shapelets.

Lu Hou, James T. Kwok, Jacek M. Zurada

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Reliable and efficient autonomous driving: the need for heterogeneous vehicular networks.

Kan Zheng, Qiang Zheng, Haojun Yang, Long Zhao, Lu Hou, Periklis Chatzimisios

IEEE Commun. Mag., 2015

Foodservice Management of Health Industries Based on Customer Satisfaction.

Sheng Zhong, Lu Hou, Zhiyong Rao, Wen Hu

Proceedings of the Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 2015