Lu Hou

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 97

Top Venues

CoRR

ACL (Findings)

IEEE Internet Things J.

NeurIPS

Publications

Kan Zheng, Jie Mei, Haojun Yang, Lu Hou, Siwei Ma
Digital Retina for IoV Towards 6G: Architecture, Opportunities, and Challenges. CoRR (2024)
Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. CoRR (2024)
Zhiming Mao, Haoli Bai, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu, Kam-Fai Wong
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. CoRR (2024)
Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou
TempCompass: Do Video LLMs Really Understand Videos? ACL (Findings) (2024)
Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou
TempCompass: Do Video LLMs Really Understand Videos? CoRR (2024)
Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric. CoRR (2024)
Kan Zheng, Jie Mei, Haojun Yang, Lu Hou, Siwei Ma
Digital Retina for IoV Towards 6G: Architecture, Opportunities, and Challenges. IEEE Netw. 38 (2) (2024)
Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. NAACL-HLT (2024)
Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
Embedding Compression in Recommender Systems: A Survey. ACM Comput. Surv. 56 (5) (2024)
Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia
OAC: Output-adaptive Calibration for Accurate Post-training Quantization. CoRR (2024)
Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang
HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. CoRR (2024)
Fan Feng, Lu Hou, Qi She, Rosa H. M. Chan, James T. Kwok
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. ICLR (2024)
Linli Yao, Lei Li, Shuhuai Ren, Lean Wang, Yuanxin Liu, Xu Sun, Lu Hou
DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models. CoRR (2024)
Sishuo Chen, Lei Li, Shuhuai Ren, Rundong Gao, Yuanxin Liu, Xiaohan Bi, Xu Sun, Lu Hou
Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality. CoRR (2024)
Weizhi Fei, Xueyan Niu, Pingyi Zhou, Lu Hou, Bo Bai, Lei Deng, Wei Han
Extending Context Window of Large Language Models via Semantic Compression. ACL (Findings) (2024)
Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. ACL (Findings) (2024)
Lu Hou, Bo Zhang, Bin Wang
PAN-Guided Multiresolution Fusion Network Using Swin Transformer for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Lingyi Han, Lu Hou, Xiangxiang Zheng, Ziyue Ding, Haojun Yang, Kan Zheng
Segmentation Is Not the End of Road Extraction: An All-Visible Denoising Autoencoder for Connected and Smooth Road Reconstruction. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
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
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. ACL (1) (2023)
Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation. NeurIPS (2023)
Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation. CoRR (2023)
Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
Structured Pruning for Efficient Generative Pre-trained Language Models. ACL (Findings) (2023)
Zhiming Liu, Kan Zheng, Lu Hou, Haojun Yang, Kan Yang
A Novel Blockchain-Assisted Aggregation Scheme for Federated Learning in IoT Networks. IEEE Internet Things J. 10 (19) (2023)
Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding. EMNLP (Findings) (2023)
Shicheng Li, Lei Li, Shuhuai Ren, Yuanxin Liu, Yi Liu, Rundong Gao, Xu Sun, Lu Hou
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models. CoRR (2023)
Kan Zheng, Haojun Yang, Xiong Xiong, Jie Mei, Lu Hou, Kuan Zhang
Dynamic Beam-Based Random Access Scheme for M2M Communications in Massive MIMO Systems. IEEE Trans. Veh. Technol. 72 (11) (2023)
Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang
mCLIP: Multilingual CLIP via Cross-lingual Transfer. ACL (1) (2023)
Weizhi Fei, Xueyan Niu, Pingyi Zhou, Lu Hou, Bo Bai, Lei Deng, Wei Han
Extending Context Window of Large Language Models via Semantic Compression. CoRR (2023)
Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. AAAI (2023)
Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding. CoRR (2023)
Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang
CTRL: Connect Tabular and Language Model for CTR Prediction. CoRR (2023)
Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding. CoRR (2023)
Hu Liu, Hui Zhao, Changhao Han, Lu Hou
Low-Complexity Code Clone Detection using Graph-based Neural Networks. MSN (2022)
Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. CoRR (2022)
Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. ACL (Findings) (2022)
Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. CoRR (2022)
Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. NeurIPS (2022)
Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu
Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS (2022)
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
FILIP: Fine-grained Interactive Language-Image Pre-Training. ICLR (2022)
Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework. CoRR (2022)
Han Meng, Lingyi Han, Lu Hou
An Ensemble Learning-based Short-Term Load Forecasting on Small Datasets. PIMRC (2022)
HuaXuan Zhao, Hui Zhao, Lu Hou
KPE-GCN: A Keyphrase-Enhanced Graph Convolutional Network for Imbalanced Text Classification. ICTAI (2022)
Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. EMNLP (2022)
Yiwen Zhang, Weiwei Guo, Cheng Chi, Lu Hou, Xiaohua Sun
Towards Scenario-Based and Question-Driven Explanations in Autonomous Vehicles. HCI (34) (2022)
Qiang Liang, Hui Zhao, Lu Hou
Federated Reinforcement Learning-Based Radio Resource Scheduling for Short Video Applications. BMSB (2022)
Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
Compression of Generative Pre-trained Language Models via Quantization. CoRR (2022)
Zhiyan Chen, Hui Zhao, Lu Hou
Sparse Factor Graph-Based Expanded Iterative Detection and Decoding Scheme for Uplink Polar Coded SCMA System. BMSB (2022)
Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. CoRR (2022)
Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
Compression of Generative Pre-trained Language Models via Quantization. ACL (1) (2022)
Qihao Zhou, Kan Zheng, Kuan Zhang, Lu Hou, Xianbin Wang
Vulnerability Analysis of Smart Contract for Blockchain-Based IoT Applications: A Machine Learning Approach. IEEE Internet Things J. 9 (24) (2022)
Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. CoRR (2022)
Chunhui Wang, Lu Hou, Xiaohong Chen
Extracting Requirements Models from Natural-Language Document for Embedded Systems. RE Workshops (2022)
Zhiming Liu, Lu Hou, Kan Zheng, Qihao Zhou, Shiwen Mao
A DQN-Based Consensus Mechanism for Blockchain in IoT Networks. IEEE Internet Things J. 9 (14) (2022)
Lu Hou, Kan Zheng, Zhiming Liu, Xiaojun Xu
Design and Prototype Implementation of a Blockchain-Enabled LoRa System With Edge Computing. CoRR (2021)
Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu
GhostBERT: Generate More Features with Cheap Operations for BERT. ACL/IJCNLP (1) (2021)
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma
Improved OOD Generalization via Adversarial Training and Pretraing. ICML (2021)
Lu Hou, Kan Zheng, Zhiming Liu, Xiaojun Xu, Tao Wu
Design and Prototype Implementation of a Blockchain-Enabled LoRa System With Edge Computing. IEEE Internet Things J. 8 (4) (2021)
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Improved OOD Generalization via Adversarial Training and Pre-training. CoRR (2021)
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) (2021)
Yansheng Qu, Xingfang Cheng, Yunxiao Wang, Hua Sheng, Wenbin Zhang, Lu Hou, Jian Meng, Xie Wang
User and Service Classification in Power Grid Management System based on Random Forest. WI/IAT (Workshop/Special Session) (2021)
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. ICLR (2021)
Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR (2021)
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. CoRR (2021)
Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
FILIP: Fine-grained Interactive Language-Image Pre-Training. CoRR (2021)
Lu Hou, Xiaojun Xu, Kan Zheng, Xianbin Wang
An Intelligent Transaction Migration Scheme for RAFT-Based Private Blockchain in Internet of Things Applications. IEEE Commun. Lett. 25 (8) (2021)
Lu Hou, Xiaojun Xu, Kan Zheng, Xianbin Wang
An Intelligent Transaction Migration Scheme for RAFT-based Private Blockchain in Internet of Things Applications. CoRR (2021)
Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu
TernaryBERT: Distillation-aware Ultra-low Bit BERT. CoRR (2020)
Xiong Xiong, Kan Zheng, Lei Lei, Lu Hou
Resource Allocation Based on Deep Reinforcement Learning in IoT Edge Computing. IEEE J. Sel. Areas Commun. 38 (6) (2020)
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR (2020)
Zhiming Liu, Qihao Zhou, Lu Hou, Rongtao Xu, Kan Zheng
Design and Implementation on a LoRa System with Edge Computing. WCNC (2020)
Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu
TernaryBERT: Distillation-aware Ultra-low Bit BERT. EMNLP (1) (2020)
Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
DynaBERT: Dynamic BERT with Adaptive Width and Depth. CoRR (2020)
Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu
DynaBERT: Dynamic BERT with Adaptive Width and Depth. NeurIPS (2020)
Lu Hou, Lei Lei, Kan Zheng, Xianbin Wang
A $Q$ -Learning-Based Proactive Caching Strategy for Non-Safety Related Services in Vehicular Networks. IEEE Internet Things J. 6 (3) (2019)
Qihao Zhou, Jinyu Xing, Lu Hou, Rongtao Xu, Kan Zheng
A Novel Rate and Channel Control Scheme Based on Data Extraction Rate for LoRa Networks. WCNC (2019)
Lu Hou, Ruiliang Zhang, James T. Kwok
Analysis of Quantized Models. ICLR (Poster) (2019)
Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu
Normalization Helps Training of Quantized LSTM. NeurIPS (2019)
Qihao Zhou, Kan Zheng, Lu Hou, Jinyu Xing, Rongtao Xu
Design and Implementation of Open LoRa for IoT. IEEE Access 7 (2019)
Jinyu Xing, Lu Hou, Kuan Zhang, Kan Zheng
An Improved Secure Key Management Scheme for LoRa System. ICCT (2019)
Lu Hou, James T. Kwok
Power Law in Sparsified Deep Neural Networks. CoRR (2018)
Lu Hou, James T. Kwok
Loss-aware Weight Quantization of Deep Networks. CoRR (2018)
Xiong Xiong, Lu Hou, Long Zhao
A Group-Based Massive Multiple Access Scheme in Cellular M2M Networks. Comput. Commun. 121 (2018)
Lu Hou, James T. Kwok
Loss-aware Weight Quantization of Deep Networks. ICLR (Poster) (2018)
Lu Hou, Kan Zheng, Periklis Chatzimisios, Yi Feng
A Continuous-Time Markov decision process-based resource allocation scheme in vehicular cloud for mobile video services. Comput. Commun. 118 (2018)
Qihao Zhou, Kan Zheng, Lu Hou, Jinyu Xing, Rongtao Xu
X-LoRa: An Open Source LPWA Network. CoRR (2018)
Lei Lei, Xiong Xiong, Lu Hou, Kan Zheng
Collaborative Edge Caching through Service Function Chaining: Architecture and Challenges. IEEE Wirel. Commun. 25 (3) (2018)
Lu Hou, Quanming Yao, James T. Kwok
Loss-aware Binarization of Deep Networks. ICLR (Poster) (2017)
Lu Hou, Lei Lei, Kan Zheng
Design on Publish/Subscribe Message Dissemination for Vehicular Networks with Mobile Edge Computing. GLOBECOM Workshops (2017)
Lu Hou, Shaohang Zhao, Xing Li, Periklis Chatzimisios, Kan Zheng
Design and implementation of application programming interface for Internet of things cloud. Int. J. Netw. Manag. 27 (3) (2017)
Wenju Zhao, Shengwei Lin, Jiwen Han, Rongtao Xu, Lu Hou
Design and Implementation of Smart Irrigation System Based on LoRa. GLOBECOM Workshops (2017)
Lu Hou, Shaohang Zhao, Xiong Xiong, Kan Zheng, Periklis Chatzimisios, M. Shamim Hossain, Wei Xiang
Internet of Things Cloud: Architecture and Implementation. CoRR (2016)
Shaohui Ma, Lu Hou, Wensong Yao, Baozhen Lee
A nonhomogeneous hidden Markov model of response dynamics and mailing optimization in direct marketing. Eur. J. Oper. Res. 253 (2) (2016)
Lu Hou, Shaohang Zhao, Xiong Xiong, Kan Zheng, Periklis Chatzimisios, M. Shamim Hossain, Wei Xiang
Internet of Things Cloud: Architecture and Implementation. IEEE Commun. Mag. 54 (12-Supp) (2016)
Lu Hou, Quanming Yao, James T. Kwok
Loss-aware Binarization of Deep Networks. CoRR (2016)
Lu Hou, James T. Kwok, Jacek M. Zurada
Efficient Learning of Timeseries Shapelets. AAAI (2016)
Kan Zheng, Lu Hou, Hanlin Meng, Qiang Zheng, Ning Lu, Lei Lei
Soft-defined heterogeneous vehicular network: architecture and challenges. IEEE Netw. 30 (4) (2016)
Kan Zheng, Qiang Zheng, Haojun Yang, Long Zhao, Lu Hou, Periklis Chatzimisios
Reliable and efficient autonomous driving: the need for heterogeneous vehicular networks. IEEE Commun. Mag. 53 (12) (2015)
Sheng Zhong, Lu Hou, Zhiyong Rao, Wen Hu
Foodservice Management of Health Industries Based on Customer Satisfaction. APMS (2) (2015)
Kan Zheng, Qiang Zheng, Haojun Yang, Long Zhao, Lu Hou, Periklis Chatzimisios
Reliable and Efficient Autonomous Driving: the Need for Heterogeneous Vehicular Networks. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lu Hou