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2020 – today
- 2021
[j37]Di He
, Xin Chen, Ling Pei, Fusheng Zhu, Lingge Jiang, Wenxian Yu:
Multi-BS Spatial Spectrum Fusion for 2-D DOA Estimation and Localization Using UCA in Massive MIMO System. IEEE Trans. Instrum. Meas. 70: 1-13 (2021)- 2020
- [j36]Suyang Zhou, Wei Gu, Yue Qiu, Fenghua Zou, Di He, Peng Yu, Jinqiao Du, Xiner Luo, Chengliang Wang, Zhi Wu:
Dynamic EV Charging Pricing Methodology for Facilitating Renewable Energy With Consideration of Highway Traffic Flow. IEEE Access 8: 13161-13178 (2020) - [j35]Longwei Tian, Changqing Xu, Dan Chen, Di He, Trieu-Kien Truong:
Enhancing mmWave DOA Estimation by Cumulative Power Gradient At Low SNR. IEEE Signal Process. Lett. 27: 1974-1978 (2020) - [c83]Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu:
Invertible Image Rescaling. ECCV (1) 2020: 126-144 - [c82]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR 2020 - [c81]Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. ICLR 2020 - [c80]Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu:
On Layer Normalization in the Transformer Architecture. ICML 2020: 10524-10533 - [c79]Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang:
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. IJCAI 2020: 2669-2675 - [c78]Wenjun Wu, Lingge Jiang, Chen He, Di He, Jian Zhang:
RavenFlow: Congestion-Aware Load Balancing in 5G Base Station Network. ISCAS 2020: 1-5 - [c77]Jian Zhang, Lingge Jiang, Pingping Ji, Chen He, Di He, Wenjun Wu:
SLNR Based Hybrid Precoding for HAP Massive MIMO Systems with Limited RF Chains. ISCAS 2020: 1-5 - [i37]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR abs/2001.02378 (2020) - [i36]Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu:
On Layer Normalization in the Transformer Architecture. CoRR abs/2002.04745 (2020) - [i35]Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. CoRR abs/2002.06823 (2020) - [i34]Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu:
Invertible Image Rescaling. CoRR abs/2005.05650 (2020) - [i33]Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu:
MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR abs/2006.05744 (2020) - [i32]Guolin Ke, Di He, Tie-Yan Liu:
Rethinking Positional Encoding in Language Pre-training. CoRR abs/2006.15595 (2020) - [i31]Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong:
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR abs/2007.12446 (2020) - [i30]Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu:
Taking Notes on the Fly Helps BERT Pre-training. CoRR abs/2008.01466 (2020) - [i29]Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang:
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR abs/2009.03294 (2020) - [i28]Di He, Lei Xie:
A Cross-Level Information Transmission Network for Predicting Phenotype from New Genotype: Application to Cancer Precision Medicine. CoRR abs/2010.04824 (2020)
2010 – 2019
- 2019
- [j34]Suyang Zhou, Di He, Wei Gu, Zhi Wu, Ghulam Abbas, Qiteng Hong, Campbell Booth:
Design and Evaluation of Operational Scheduling Approaches for HCNG Penetrated Integrated Energy System. IEEE Access 7: 87792-87807 (2019) - [j33]Di He, Ke Xu, Peng Zhou:
Defect detection of hot rolled steels with a new object detection framework called classification priority network. Comput. Ind. Eng. 128: 290-297 (2019) - [j32]Xiaofei Li, Di He, Jun-Yi Li:
Parallel image search application based on online hashing hierarchical ranking. Clust. Comput. 22(Suppl 1): 1469-1478 (2019) - [j31]Xiaofei Li, Di He:
HSBCS framework based performance detection for DS-UWB Systems. Clust. Comput. 22(Supplement): 2655-2665 (2019) - [j30]Hongming Peng, Bingbing Li, Di He, Junning Wang:
Identification of fixations, saccades and smooth pursuits based on segmentation and clustering. Intell. Data Anal. 23(5): 1041-1054 (2019) - [j29]Di He, Ke Xu, Dadong Wang:
Design of multi-scale receptive field convolutional neural network for surface inspection of hot rolled steels. Image Vis. Comput. 89: 12-20 (2019) - [j28]Hansaim Lim, Di He, Yue Qiu, Patrycja Krawczuk, Xiaoru Sun, Lei Xie:
Rational discovery of dual-indication multi-target PDE/Kinase inhibitor for precision anti-cancer therapy using structural systems pharmacology. PLoS Comput. Biol. 15(6) (2019) - [j27]Qiao Liu, Di He, Lei Xie:
Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature. PLoS Comput. Biol. 15(10) (2019) - [j26]Di He, Xin Chen, Ling Pei, Lingge Jiang, Wenxian Yu:
Improvement of Noise Uncertainty and Signal-To-Noise Ratio Wall in Spectrum Sensing Based on Optimal Stochastic Resonance. Sensors 19(4): 841 (2019) - [j25]Zhuxian Lian, Lingge Jiang, Chen He, Di He:
A Non-Stationary 3-D Wideband GBSM for HAP-MIMO Communication Systems. IEEE Trans. Veh. Technol. 68(2): 1128-1139 (2019) - [j24]Zhuxian Lian, Lingge Jiang, Chen He, Di He:
User Grouping and Beamforming for HAP Massive MIMO Systems Based on Statistical-Eigenmode. IEEE Wirel. Commun. Lett. 8(3): 961-964 (2019) - [c76]Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. AAAI 2019: 3723-3730 - [c75]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. AAAI 2019: 5377-5384 - [c74]Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin:
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. AAAI 2019: 5466-5473 - [c73]ChengYue Gong, Xu Tan, Di He, Tao Qin:
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. AAAI 2019: 6449-6456 - [c72]Di He, Guangsheng Feng, Bingyang Li, Hongwu Lv, Huiqiang Wang, Quanming Li:
Joint Uplink and Downlink Optimization for Resource Allocation Under D2D Communication Networks. CWSN 2019: 35-47 - [c71]Chengxin Zhang, Huiquan Zhang, Di He, Fei Hao:
Evaluation Approach Based upon Knowledge Delivery Process in Smart Teaching Environment. DASC/PiCom/DataCom/CyberSciTech 2019: 277-281 - [c70]Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu:
Multilingual Neural Machine Translation with Language Clustering. EMNLP/IJCNLP (1) 2019: 963-973 - [c69]Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Machine Translation With Weakly Paired Documents. EMNLP/IJCNLP (1) 2019: 4374-4383 - [c68]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) 2019: 5707-5712 - [c67]Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen:
When CTC Training Meets Acoustic Landmarks. ICASSP 2019: 5996-6000 - [c66]Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. ICLR (Poster) 2019 - [c65]Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Multilingual Neural Machine Translation with Knowledge Distillation. ICLR (Poster) 2019 - [c64]Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu:
Efficient Training of BERT by Progressively Stacking. ICML 2019: 2337-2346 - [c63]Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie:
Towards a Deep and Unified Understanding of Deep Neural Models in NLP. ICML 2019: 2454-2463 - [c62]Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen:
Deliberation Learning for Image-to-Image Translation. IJCAI 2019: 2484-2490 - [c61]Di He, Ming Jiang, Alfred K. Louis, Peter Maass, Thomas Page:
Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah Functional. ISBI 2019: 1463-1466 - [c60]Di He, Xin Chen, Danping Zou, Ling Pei, Lingge Jiang:
A Novel Wireless Positioning Approach Based on Distributed Stochastic-Resonance-Enhanced Power Spectrum Fusion Technique. ISCAS 2019: 1-5 - [c59]Yu Sun, Lingge Jiang, Chen He, Di He, Ping Li:
Stable and Fair Quantized Notification for 5G Mobile Network. ISCAS 2019: 1-5 - [c58]Zhengqiang Tang, Di He, Shintaro Arai, Danping Zou:
Positioning-Aided Scheme for Image Sensor Communication using Single-View Geometry. ISCAS 2019: 1-5 - [c57]Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhi-Hong Deng:
Fast Structured Decoding for Sequence Models. NeurIPS 2019: 3011-3020 - [c56]Pingping Ji, Lingge Jiang, Chen He, Di He:
Hybrid Precoding for HAP Massive MIMO Systems. SINC 2019: 255-263 - [c55]Yingying Yuan, Guangsheng Feng, Hongwu Lv, Weiping Wang, Quanming Li, Di He, Huiqiang Wang:
A Near-Optimal Resource Allocation Approach to Computation Offloading Under D2D Communications. SmartIoT 2019: 183-188 - [c54]Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Microsoft Research Asia's Systems for WMT19. WMT (2) 2019: 424-433 - [c53]Pingping Ji, Lingge Jiang, Chen He, Di He:
Graph Based User Clustering for HAP Massive MIMO Systems With Two-stage Beamforming. WPMC 2019: 1-6 - [c52]Di Zong, Lingge Jiang, Chen He, Pingping Ji, Di He:
Two-Stage Precoding Design in Rician Channel for HAP Massive MIMO Systems. WPMC 2019: 1-5 - [i27]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. CoRR abs/1902.10245 (2019) - [i26]Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Multilingual Neural Machine Translation with Knowledge Distillation. CoRR abs/1902.10461 (2019) - [i25]Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang:
A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems. CoRR abs/1905.11675 (2019) - [i24]Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang:
Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR abs/1906.00555 (2019) - [i23]Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu:
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. CoRR abs/1906.02762 (2019) - [i22]Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. CoRR abs/1907.12009 (2019) - [i21]Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu:
Multilingual Neural Machine Translation with Language Clustering. CoRR abs/1908.09324 (2019) - [i20]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. CoRR abs/1909.06708 (2019) - [i19]Jinchen Xuan, Yunchang Yang, Ze Yang, Di He, Liwei Wang:
On the Anomalous Generalization of GANs. CoRR abs/1909.12638 (2019) - [i18]Zhiqing Sun, Zhuohan Li, Haoqing Wang, Zi Lin, Di He, Zhi-Hong Deng:
Fast Structured Decoding for Sequence Models. CoRR abs/1910.11555 (2019) - [i17]Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang:
Defective Convolutional Layers Learn Robust CNNs. CoRR abs/1911.08432 (2019) - 2018
- [j23]Di He, Taha Bouras, Xin Chen, Wenxian Yu, Yi Zhang, Yueming Yang:
3-D Spatial Spectrum Fusion Indoor Localization Algorithm Based on CSI-UCA Smoothing Technique. IEEE Access 6: 59575-59588 (2018) - [j22]Yuan Wang, Jun Qiu, Chang Liu, Di He, Xinkai Kang, Jian Li, Ligen Shi:
Virtual Image Points Based Geometrical Parameters' Calibration for Focused Light Field Camera. IEEE Access 6: 71317-71326 (2018) - [j21]Dongmei Ai, Hongfei Pan, Xiaoxin Li, Yingxin Gao, Di He:
Association rule mining algorithms on high-dimensional datasets. Artif. Life Robotics 23(3): 420-427 (2018) - [j20]Chaozheng Bao, Hong Peng, Di He, Junning Wang:
Adaptive fuzzy c-means clustering algorithm for interval data type based on interval-dividing technique. Pattern Anal. Appl. 21(3): 803-812 (2018) - [c51]Yi Liang, Lingge Jiang, Chen He, Di He, Ping Li:
Performance Analyses of Quantized Congestion Notification for 5G Distributed Base Station. CIoT 2018: 1-6 - [c50]Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu:
Double Path Networks for Sequence to Sequence Learning. COLING 2018: 3064-3074 - [c49]Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. EMNLP 2018: 3602-3611 - [c48]Muhammad Abrar Afzal, Di He, Ziyu Zhu, Yueming Yang:
Performance Evaluation of Wi-Fi Bluetooth Low Energy & Li-Fi Technology in Indoor Positioning. DSL 2018: 1-5 - [c47]Yajun Fan, Ping Wang, Jiapei Yu, Shuai Wang, Wenxian Yu, Juan Li, Ning Yan, Di He, Xin Chen:
Accuracy Analysis on the Beidou /INS Integrated Navigation based on the Field Trial. DSL 2018: 1-5 - [c46]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. ICML 2018: 3001-3010 - [c45]Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Improved ASR for Under-resourced Languages through Multi-task Learning with Acoustic Landmarks. INTERSPEECH 2018: 2618-2622 - [c44]Di He, Xin Chen, Danping Zou, Ling Pei, Lingge Jiang:
An Improved Kernel Clustering Algorithm Used in Computer Network Intrusion Detection. ISCAS 2018: 1-5 - [c43]Di He, Xin Chen, Danping Zou, Ling Pei, Lingge Jiang:
Uplink Power Control Approach Based on Adaptive Chaotic Simulated Annealing. ISCAS 2018: 1-5 - [c42]Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu:
Dense Information Flow for Neural Machine Translation. NAACL-HLT 2018: 1294-1303 - [c41]ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
FRAGE: Frequency-Agnostic Word Representation. NeurIPS 2018: 1341-1352 - [c40]Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation. NeurIPS 2018: 7955-7965 - [i16]Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks. CoRR abs/1805.05574 (2018) - [i15]Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu:
Dense Information Flow for Neural Machine Translation. CoRR abs/1806.00722 (2018) - [i14]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. CoRR abs/1806.02988 (2018) - [i13]Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu:
Double Path Networks for Sequence to Sequence Learning. CoRR abs/1806.04856 (2018) - [i12]Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. CoRR abs/1809.00120 (2018) - [i11]ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
FRAGE: Frequency-Agnostic Word Representation. CoRR abs/1809.06858 (2018) - [i10]Di He:
Augmenting Input Method Language Model with user Location Type Information. CoRR abs/1809.08349 (2018) - [i9]Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen:
When CTC Training Meets Acoustic Landmarks. CoRR abs/1811.02063 (2018) - [i8]ChengYue Gong, Xu Tan, Di He, Tao Qin:
Sentence-wise Smooth Regularization for Sequence to Sequence Learning. CoRR abs/1812.04784 (2018) - [i7]Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. CoRR abs/1812.09664 (2018) - 2017
- [j19]Jiadong Ji, Di He, Yang Feng, Yong He, Fuzhong Xue, Lei Xie:
JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data. Bioinform. 33(19): 3080-3087 (2017) - [c39]Taha Bouras, Di He, Fei Wen, Peilin Liu, Wenxian Yu:
A Novel Accurate Source Number Estimation Method Based on GBSA-MDL Algorithm. ChinaCom (2) 2017: 383-392 - [c38]Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen:
Machine learning on FPGAs to face the IoT revolution. ICCAD 2017: 819-826 - [c37]Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen:
Machine learning on FPGAs to face the IoT revolution. ICCAD 2017: 894-901 - [c36]Di He, Zuofu Cheng, Mark Hasegawa-Johnson, Deming Chen:
Using Approximated Auditory Roughness as a Pre-Filtering Feature for Human Screaming and Affective Speech AED. INTERSPEECH 2017: 1914-1918 - [c35]Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu:
Decoding with Value Networks for Neural Machine Translation. NIPS 2017: 178-187 - [c34]Di He, Chen He, Lingge Jiang:
A Novel Relay-Assisted Coded Cooperation Scheme in the Stratospheric Communication System. SINC 2017: 207-217 - [c33]Di He, Aadharsh Kannan, Tie-Yan Liu, R. Preston McAfee, Tao Qin, Justin M. Rao:
Scale Effects in Web Search. WINE 2017: 294-310 - [i6]Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Acoustic Landmarks Contain More Information About the Phone String than Other Frames. CoRR abs/1710.09985 (2017) - 2016
- [j18]Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie:
Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. PLoS Comput. Biol. 12(10) (2016) - [j17]Umer Javed, Di He, Peilin Liu:
Performance Characterization of a Hybrid Satellite-Terrestrial System with Co-Channel Interference over Generalized Fading Channels. Sensors 16(8): 1236 (2016) - [c32]Xiaofei Li, Di He, Xiaohua Chen:
PMDA-Schemed EM Channel Estimator for OFDM Systems. FSDM 2016: 267-273 - [c31]Di He, Zhengfeng Ming, Jintao Liang:
Design and simulation of position tracking servo system for AFPMM. ICNSC 2016: 1-5 - [c30]Yan Zhou, Zhe Wang, Di He:
Spatial-temporal reasoning of Geovideo data based on ontology. IGARSS 2016: 4470-4473 - [c29]Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma:
Dual Learning for Machine Translation. NIPS 2016: 820-828 - [c28]Daulet Alibi, Umer Javed, Fei Wen, Di He, Peilin Liu, Yi Zhang, Ling-ge Jiang:
2D DOA estimation method based on channel state information for uniform circular array. UPINLBS 2016: 68-72 - [c27]Li Yang, Di He, Jidong Xu, Ying Wang, Peilin Liu, Lingge Jiang, Wenxian Yu:
Intensive positioning method based on RFID technology. UPINLBS 2016: 140-144 - [c26]Fei Wen, Umer Javed, Yuan Yang, Di He, Yi Zhang:
Improved subspace direction-of-arrival estimation in unknown nonuniform noise fields. UPINLBS 2016: 230-233 - [c25]Xiaofei Li, Di He, Ling-ge Jiang, Wensheng Yu, Xiaohua Chen:
A method indoor multi-path IR-UWB location based on multi-task compressive sensing. UPINLBS 2016: 259-263 - [i5]Fei Tian, Bin Gao, Di He, Tie-Yan Liu:
Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves. CoRR abs/1604.02038 (2016) - [i4]Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma:
Dual Learning for Machine Translation. CoRR abs/1611.00179 (2016) - 2015
- [j16]Umer Javed, Di He, Peilin Liu:
Exact Performance Analysis of AF Based Hybrid Satellite-Terrestrial Relay Network with Co-Channel Interference. KSII Trans. Internet Inf. Syst. 9(9): 3412-3431 (2015) - [c24]Mengyun Wang, Weidang Lu, Di He, Zhijiang Xu, Jingyu Hua:
An anti-interference spectrum sharing protocol with secondary user selection. ChinaCom 2015: 661-665 - [c23]Xiaofei Li, Di He, Ching-Jer Hung:
Distributed Diffusion-scheme ECME Estimator for Distributed Estimation in Wireless Networks. FSDM 2015: 451-456 - [c22]Di He:
A Novel Spectrum Sensing Method in Cognitive Radio Networks Based on Graph Theory. GLOBECOM 2015: 1-6 - 2014
- [j15]Yingpei Lin, Chen He, Ling-ge Jiang, Di He:
Cooperative spectrum sensing based on stochastic resonance in cognitive radio networks. Sci. China Inf. Sci. 57(2): 1-10 (2014) - [j14]