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2020 – today
- 2024
[j24]Zhoulong Ding
, Kan Zheng, Runyu Zhao, Jie Mei, Lu Hou:
Design and Implementation of an IoT System for Monitoring Ecological Environment. IEEE Access 12: 141324-141334 (2024)- [j23]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): 130:1-130:21 (2024) - [j22]Lu Hou, Zhenyu Huang, Chang Lv:
Quantum Algorithms for the Multiplication of Circulant Matrices and Vectors. Inf. 15(8): 453 (2024) - [j21]Kan Zheng, Jie Mei, Haojun Yang, Lu Hou, Siwei Ma:
Digital Retina for IoV Towards 6G: Architecture, Opportunities, and Challenges. IEEE Netw. 38(2): 62-69 (2024) - [j20]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): 8999-9013 (2024) - [c45]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: 5169-5181 - [c44]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: 7716-7741 - [c43]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: 8731-8772 - [c42]Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou:
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding. CVPR 2024: 14313-14323 - [c41]Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Surr:
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric. CVPR 2024: 27360-27370 - [c40]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 - [c39]Lu Hou, Chang Lv:
Amplitude Transformation of Quantum State Based on QSVT. ISIT 2024: 2056-2061 - [c38]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: 4713-4730 - [i39]Kan Zheng, Jie Mei, Haojun Yang, Lu Hou, Siwei Ma:
Digital Retina for IoV Towards 6G: Architecture, Opportunities, and Challenges. CoRR abs/2401.04916 (2024) - [i38]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 abs/2403.00476 (2024) - [i37]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 abs/2403.01241 (2024) - [i36]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 abs/2403.07839 (2024) - [i35]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 abs/2403.16516 (2024) - [i34]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 abs/2403.19221 (2024) - [i33]Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia:
OAC: Output-adaptive Calibration for Accurate Post-training Quantization. CoRR abs/2405.15025 (2024) - [i32]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 abs/2405.20985 (2024) - [i31]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 abs/2407.08706 (2024) - [i30]Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang:
Embedding Compression in Recommender Systems: A Survey. CoRR abs/2408.02304 (2024) - [i29]Yi Zhu, Yanpeng Zhou, Chunwei Wang, Yang Cao, Jianhua Han, Lu Hou, Hang Xu:
UNIT: Unifying Image and Text Recognition in One Vision Encoder. CoRR abs/2409.04095 (2024) - 2023
- [j19]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): 17544-17556 (2023) - [j18]Lu Hou, Bo Zhang, Bin Wang:
PAN-Guided Multiresolution Fusion Network Using Swin Transformer for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j17]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: 1-18 (2023) - [j16]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): 14531-14542 (2023) - [c37]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: 4435-4443 - [c36]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: 10880-10895 - [c35]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: 13028-13043 - [c34]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: 13386-13401 - [c33]Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou:
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding. EMNLP (Findings) 2023: 932-947 - [c32]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 - [i28]Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang:
CTRL: Connect Tabular and Language Model for CTR Prediction. CoRR abs/2306.02841 (2023) - [i27]Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou:
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding. CoRR abs/2310.19060 (2023) - [i26]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 abs/2311.01813 (2023) - [i25]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 abs/2311.17404 (2023) - [i24]Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou:
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding. CoRR abs/2312.02051 (2023) - [i23]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 abs/2312.09571 (2023) - 2022
- [j15]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): 11962-11973 (2022) - [j14]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): 24695-24707 (2022) - [c31]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: 2383-2395 - [c30]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: 4821-4836 - [c29]Zhiyan Chen, Hui Zhao, Lu Hou:
Sparse Factor Graph-Based Expanded Iterative Detection and Decoding Scheme for Uplink Polar Coded SCMA System. BMSB 2022: 1-6 - [c28]Qiang Liang, Hui Zhao, Lu Hou:
Federated Reinforcement Learning-Based Radio Resource Scheduling for Short Video Applications. BMSB 2022: 1-5 - [c27]Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. EMNLP 2022: 7985-7997 - [c26]Yiwen Zhang, Weiwei Guo, Cheng Chi, Lu Hou, Xiaohua Sun:
Towards Scenario-Based and Question-Driven Explanations in Autonomous Vehicles. HCI (34) 2022: 108-120 - [c25]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 - [c24]HuaXuan Zhao, Hui Zhao, Lu Hou:
KPE-GCN: A Keyphrase-Enhanced Graph Convolutional Network for Imbalanced Text Classification. ICTAI 2022: 297-302 - [c23]Hu Liu, Hui Zhao, Changhao Han, Lu Hou:
Low-Complexity Code Clone Detection using Graph-based Neural Networks. MSN 2022: 797-802 - [c22]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 - [c21]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 - [c20]Han Meng, Lingyi Han, Lu Hou:
An Ensemble Learning-based Short-Term Load Forecasting on Small Datasets. PIMRC 2022: 346-350 - [c19]Chunhui Wang, Lu Hou, Xiaohong Chen:
Extracting Requirements Models from Natural-Language Document for Embedded Systems. RE Workshops 2022: 18-21 - [i22]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 abs/2202.06767 (2022) - [i21]Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. CoRR abs/2203.06386 (2022) - [i20]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 abs/2203.10705 (2022) - [i19]Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. CoRR abs/2210.11929 (2022) - [i18]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 abs/2212.05735 (2022) - [i17]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 abs/2212.09621 (2022) - 2021
- [j13]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): 2753-2757 (2021) - [j12]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): 2419-2430 (2021) - [c18]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: 4334-4348 - [c17]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: 6512-6523 - [c16]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. ICLR 2021 - [c15]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma:
Improved OOD Generalization via Adversarial Training and Pretraing. ICML 2021: 11987-11997 - [c14]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: 1-4 - [i16]Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma:
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. CoRR abs/2103.08933 (2021) - [i15]Lu Hou, Kan Zheng, Zhiming Liu, Xiaojun Xu:
Design and Prototype Implementation of a Blockchain-Enabled LoRa System With Edge Computing. CoRR abs/2105.10103 (2021) - [i14]Lu Hou, Xiaojun Xu, Kan Zheng, Xianbin Wang:
An Intelligent Transaction Migration Scheme for RAFT-based Private Blockchain in Internet of Things Applications. CoRR abs/2105.10107 (2021) - [i13]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 abs/2105.11144 (2021) - [i12]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR abs/2109.15082 (2021) - [i11]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 abs/2111.07783 (2021) - 2020
- [j11]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): 1133-1146 (2020) - [c13]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. EMNLP (1) 2020: 509-521 - [c12]Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. NeurIPS 2020 - [c11]Zhiming Liu, Qihao Zhou, Lu Hou, Rongtao Xu, Kan Zheng:
Design and Implementation on a LoRa System with Edge Computing. WCNC 2020: 1-6 - [i10]Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu:
DynaBERT: Dynamic BERT with Adaptive Width and Depth. CoRR abs/2004.04037 (2020) - [i9]Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu:
TernaryBERT: Distillation-aware Ultra-low Bit BERT. CoRR abs/2009.12812 (2020) - [i8]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 abs/2012.15701 (2020)
2010 – 2019
- 2019
- [j10]Qihao Zhou, Kan Zheng, Lu Hou, Jinyu Xing, Rongtao Xu:
Design and Implementation of Open LoRa for IoT. IEEE Access 7: 100649-100657 (2019) - [j9]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): 4512-4520 (2019) - [c10]Jinyu Xing, Lu Hou, Kuan Zhang, Kan Zheng:
An Improved Secure Key Management Scheme for LoRa System. ICCT 2019: 296-301 - [c9]Lu Hou, Ruiliang Zhang, James T. Kwok:
Analysis of Quantized Models. ICLR (Poster) 2019 - [c8]Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu:
Normalization Helps Training of Quantized LSTM. NeurIPS 2019: 7344-7354 - [c7]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: 1-6 - 2018
- [j8]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: 140-147 (2018) - [j7]Xiong Xiong, Lu Hou, Long Zhao:
A Group-Based Massive Multiple Access Scheme in Cellular M2M Networks. Comput. Commun. 121: 44-49 (2018) - [j6]Lei Lei, Xiong Xiong, Lu Hou, Kan Zheng:
Collaborative Edge Caching through Service Function Chaining: Architecture and Challenges. IEEE Wirel. Commun. 25(3): 94-102 (2018) - [c6]Lu Hou, James T. Kwok:
Loss-aware Weight Quantization of Deep Networks. ICLR (Poster) 2018 - [i7]Lu Hou, James T. Kwok:
Loss-aware Weight Quantization of Deep Networks. CoRR abs/1802.08635 (2018) - [i6]Lu Hou, James T. Kwok:
Power Law in Sparsified Deep Neural Networks. CoRR abs/1805.01891 (2018) - [i5]Qihao Zhou, Kan Zheng, Lu Hou, Jinyu Xing, Rongtao Xu:
X-LoRa: An Open Source LPWA Network. CoRR abs/1812.09012 (2018) - 2017
- [j5]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) - [c5]Lu Hou, Lei Lei, Kan Zheng:
Design on Publish/Subscribe Message Dissemination for Vehicular Networks with Mobile Edge Computing. GLOBECOM Workshops 2017: 1-6 - [c4]Wenju Zhao, Shengwei Lin, Jiwen Han, Rongtao Xu, Lu Hou:
Design and Implementation of Smart Irrigation System Based on LoRa. GLOBECOM Workshops 2017: 1-6 - [c3]Lu Hou, Quanming Yao, James T. Kwok:
Loss-aware Binarization of Deep Networks. ICLR (Poster) 2017 - 2016
- [j4]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): 32-39 (2016) - [j3]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): 514-523 (2016) - [j2]Kan Zheng, Lu Hou, Hanlin Meng, Qiang Zheng, Ning Lu, Lei Lei:
Soft-defined heterogeneous vehicular network: architecture and challenges. IEEE Netw. 30(4): 72-80 (2016) - [c2]Lu Hou, James T. Kwok, Jacek M. Zurada:
Efficient Learning of Timeseries Shapelets. AAAI 2016: 1209-1215 - [i4]Lu Hou, Shaohang Zhao, Xiong Xiong, Kan Zheng, Periklis Chatzimisios, M. Shamim Hossain, Wei Xiang:
Internet of Things Cloud: Architecture and Implementation. CoRR abs/1609.07712 (2016) - [i3]Lu Hou, Quanming Yao, James T. Kwok:
Loss-aware Binarization of Deep Networks. CoRR abs/1611.01600 (2016) - 2015
- [j1]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): 72-79 (2015) - [c1]Sheng Zhong, Lu Hou, Zhiyong Rao, Wen Hu:
Foodservice Management of Health Industries Based on Customer Satisfaction. APMS (2) 2015: 612-619 - [i2]Kan Zheng, Lu Hou, Hanlin Meng, Qiang Zheng, Ning Lu, Lei Lei:
Soft-Defined Heterogeneous Vehicular Network: Architecture and Challenges. CoRR abs/1510.06579 (2015) - [i1]Kan Zheng, Qiang Zheng, Haojun Yang, Long Zhao, Lu Hou, Periklis Chatzimisios:
Reliable and Efficient Autonomous Driving: the Need for Heterogeneous Vehicular Networks. CoRR abs/1510.06607 (2015)
Coauthor Index
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