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2020 – today
- 2022
[j43]Di He
, Lieen Guo, Jiaqing Qu, Chih-Chun Ho:
Wireless Localization Method Using the Distributed Iterative Stochastic-Resonance-Based Signal Spectral Combination. IEEE Access 10: 13059-13070 (2022)- [j42]Yipeng Chen, Ke Xu, Peng Zhou, Xiaojuan Ban, Di He:
Improved cross entropy loss for noisy labels in vision leaf disease classification. IET Image Process. 16(6): 1511-1519 (2022) - [j41]Yipeng Chen, Ke Xu, Di He, Xiaojuan Ban:
Generating robust real-time object detector with uncertainty via virtual adversarial training. Int. J. Mach. Learn. Cybern. 13(2): 431-445 (2022) - [c100]Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan:
Finding the Dominant Winning Ticket in Pre-Trained Language Models. ACL (Findings) 2022: 1459-1472 - [c99]Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas:
VADOI: Voice-Activity-Detection Overlapping Inference for End-To-End Long-Form Speech Recognition. ICASSP 2022: 6977-6981 - [c98]Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. ICML 2022: 13209-13224 - [i60]Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. CoRR abs/2202.07919 (2022) - [i59]Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu:
Learning Physics-Informed Neural Networks without Stacked Back-propagation. CoRR abs/2202.09340 (2022) - [i58]Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas:
VADOI: Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition. CoRR abs/2202.10593 (2022) - [i57]Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu:
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR abs/2203.04810 (2022) - [i56]Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao:
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR abs/2204.06644 (2022) - [i55]Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He:
Your Transformer May Not be as Powerful as You Expect. CoRR abs/2205.13401 (2022) - [i54]Chuwei Wang, Shanda Li, Di He, Liwei Wang:
Is L2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network? CoRR abs/2206.02016 (2022) - [i53]Huishuai Zhang, Da Yu, Yiping Lu, Di He:
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. CoRR abs/2206.04316 (2022) - 2021
- [j40]Di He, Lei Xie:
A cross-level information transmission network for hierarchical omics data integration and phenotype prediction from a new genotype. Bioinform. 38(1): 204-210 (2021) - [j39]Pingping Ji, Lingge Jiang, Chen He, Zhuxian Lian, Di He:
Energy-Efficient Beamforming for Beamspace HAP-NOMA Systems. IEEE Commun. Lett. 25(5): 1678-1681 (2021) - [j38]Di He, Ling Pei, Xin Chen, Lingge Jiang, Lijuan Sun, Jiaqing Qu, Wenxian Yu:
A Novel Wireless Localization Approach Using Twice Receiving Array Spectra Fusions and ASSR Networks. IEEE Trans. Commun. 69(4): 2628-2642 (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) - [c97]Han Li, Di He, Xin Chen, Jiaqing Qu, Lieen Guo:
Distortionless MVDR Beamformer for Conformal Array GNSS Receiver. ChinaCom 2021: 220-234 - [c96]Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. EMNLP (1) 2021: 2780-2791 - [c95]Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu:
Taking Notes on the Fly Helps Language Pre-Training. ICLR 2021 - [c94]Guolin Ke, Di He, Tie-Yan Liu:
Rethinking Positional Encoding in Language Pre-training. ICLR 2021 - [c93]Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang:
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. ICML 2021: 1204-1215 - [c92]Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu:
How could Neural Networks understand Programs? ICML 2021: 8476-8486 - [c91]Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang:
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons. ICML 2021: 12368-12379 - [c90]Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas:
wav2vec-C: A Self-Supervised Model for Speech Representation Learning. Interspeech 2021: 711-715 - [c89]Shiyi Zou, Lingge Jiang, Pingping Ji, Chen He, Di He, Guorong Zhang:
Beam Selection Algorithm for Beamspace HAP-MIMO Systems Based on Statistical CSI. NaNA 2021: 47-51 - [c88]Guorong Zhang, Lingge Jiang, Pingping Ji, Shiyi Zou, Chen He, Di He:
A Modified K-means User Grouping Design for HAP Massive MIMO Systems. NaNA 2021: 288-292 - [c87]Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu:
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS 2021: 22795-22807 - [c86]Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu:
Do Transformers Really Perform Badly for Graph Representation? NeurIPS 2021: 28877-28888 - [i52]Di He, Lei Xie:
CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics. CoRR abs/2102.00538 (2021) - [i51]Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang:
Towards Certifying 𝓁∞ Robustness using Neural Networks with 𝓁∞-dist Neurons. CoRR abs/2102.05363 (2021) - [i50]Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu:
Revisiting Language Encoding in Learning Multilingual Representations. CoRR abs/2102.08357 (2021) - [i49]Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. CoRR abs/2102.09206 (2021) - [i48]Chengxuan Ying, Guolin Ke, Di He, Tie-Yan Liu:
LazyFormer: Self Attention with Lazy Update. CoRR abs/2102.12702 (2021) - [i47]Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli, Yoshua Bengio:
Transformers with Competitive Ensembles of Independent Mechanisms. CoRR abs/2103.00336 (2021) - [i46]Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas:
Wav2vec-C: A Self-supervised Model for Speech Representation Learning. CoRR abs/2103.08393 (2021) - [i45]Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu:
How could Neural Networks understand Programs? CoRR abs/2105.04297 (2021) - [i44]Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu:
Adversarial Training with Rectified Rejection. CoRR abs/2105.14785 (2021) - [i43]Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu:
Do Transformers Really Perform Bad for Graph Representation? CoRR abs/2106.05234 (2021) - [i42]Chengxuan Ying, Mingqi Yang, Shuxin Zheng, Guolin Ke, Shengjie Luo, Tianle Cai, Chenglin Wu, Yuxin Wang, Yanming Shen, Di He:
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track. CoRR abs/2106.08279 (2021) - [i41]Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu:
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR abs/2106.12566 (2021) - [i40]Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Boosting the Certified Robustness of L-infinity Distance Nets. CoRR abs/2110.06850 (2021) - [i39]Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh:
Can Vision Transformers Perform Convolution? CoRR abs/2111.01353 (2021) - [i38]Tian Cai, Li Xie, Muge Chen, Yang Liu, Di He, Shuo Zhang, Cameron Mura, Philip E. Bourne, Lei Xie:
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology. CoRR abs/2111.14283 (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) - [c85]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 - [c84]Ziwei Ma, Di He, Xin Chen, Wenxian Yu:
Localization of 3-D Near-field Sources Based on the Joint Phase Interferometer and MUSIC Algorithm. GLOBECOM (Workshops) 2020: 1-6 - [c83]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 - [c82]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 - [c81]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 - [c80]Di He, Fusheng Zhu, Lijuan Sun, Wenxian Yu:
Reducing the Receiving Array Complexity By Using the Parallel Stochastic Resonance System. IGARSS 2020: 2623-2626 - [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]