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2020 – today
- 2023
[j51]Xinyan Zhou
, Di He, Yongjie Li, Xuhua Shi:
Status-aware and energy-efficient data aggregation for inter-tidal monitoring systems. Ad Hoc Networks 146: 103181 (2023)- [j50]Di He, Jingrui Zhang, Zhong Zhang, Shuang Liu, Tariq S. Durrani:
Integration graph attention network and multi-centre constrained loss for cross-modality person re-identification. IET Comput. Vis. 17(1): 76-87 (2023) - [j49]Xiaozheng Dang, Di He, Cong Xie:
A Time Delay Prediction Model of 5G Users Based on the BiLSTM Neural Network Optimized by APSO-SD. J. Electr. Comput. Eng. 2023: 4137614:1-4137614:20 (2023) - [j48]Tian Cai, Li Xie, Shuo Zhang, Muge Chen, Di He, Amitesh Badkul, Yang Liu, Hari Krishna Namballa, Michael Dorogan, Wayne W. Harding, Cameron Mura, Philip E. Bourne, Lei Xie:
End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins. PLoS Comput. Biol. 19(1) (2023) - [j47]Shuang Wei, Heng Pan, Di He, Longwei Tian:
A deep-learning-based time of arrival estimation using kernel sparse encoding scheme. Signal Process. 209: 109047 (2023) - [j46]Di He, Chang Liu, Lina Wu, Jun Qiu:
Light Field Surface Feature and Spherical Descriptor in the Surface Scale Space. IEEE Signal Process. Lett. 30: 803-807 (2023) - [c119]Yibin Wang, Yichen Yang, Di He, Kun He:
Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions. ACL (Findings) 2023: 673-687 - [c118]Huishuai Zhang, Da Yu, Yiping Lu, Di He:
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. AISTATS 2023: 2792-2804 - [c117]Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu:
Learning Physics-Informed Neural Networks without Stacked Back-propagation. AISTATS 2023: 3034-3047 - [c116]Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang:
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CVPR 2023: 13520-13529 - [c115]Di He, Zexing Du, Xue Wang, Qing Wang:
InterFormer: Human Interaction Understanding with Deformed Transformer. ICIC (5) 2023: 193-203 - [c114]Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He:
One Transformer Can Understand Both 2D & 3D Molecular Data. ICLR 2023 - [c113]Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He:
Denoising Masked Autoencoders Help Robust Classification. ICLR 2023 - [c112]Bohang Zhang, Shengjie Luo, Liwei Wang, Di He:
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR 2023 - [c111]Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang:
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. ICML 2023: 41019-41077 - [c110]Xuyu Gao, Di He, Pai Wang, Zhicheng Zhou, Zhuoling Xiao, Shintaro Arai:
One-Reflection Path Assisted Fingerprint Localization Method with Single Base Station under 6G Indoor Environment. ISCAS 2023: 1-5 - [c109]Heng Pan, Shuang Wei, Di He, Zhuoling Xiao, Shintaro Arai:
Mitigating Catastrophic Forgetting in Deep Transfer Learning for Fingerprinting Indoor Positioning. ISCAS 2023: 1-5 - [i75]Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang:
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CoRR abs/2301.06051 (2023) - [i74]Bohang Zhang, Shengjie Luo, Liwei Wang, Di He:
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR abs/2301.09505 (2023) - [i73]Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller:
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. CoRR abs/2302.01925 (2023) - [i72]Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke:
3D Molecular Generation via Virtual Dynamics. CoRR abs/2302.05847 (2023) - [i71]Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang:
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR abs/2302.07090 (2023) - [i70]Do June Min, Andreas Stolcke, Anirudh Raju, Colin Vaz, Di He, Venkatesh Ravichandran, Viet Anh Trinh:
Adaptive Endpointing with Deep Contextual Multi-armed Bandits. CoRR abs/2303.13407 (2023) - [i69]Shuqi Lu, Zhifeng Gao, Di He, Linfeng Zhang, Guolin Ke:
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+. CoRR abs/2303.16982 (2023) - [i68]Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow:
Personalized Predictive ASR for Latency Reduction in Voice Assistants. CoRR abs/2305.13794 (2023) - [i67]Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang:
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR abs/2305.15408 (2023) - [i66]Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang:
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo. CoRR abs/2307.08214 (2023) - 2022
- [j45]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) - [j44]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) - [j43]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) - [j42]Di He, Qiao Liu, You Wu, Lei Xie:
A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening. Nat. Mac. Intell. 4(10): 879-892 (2022) - [j41]Xin Chen, Di He, Xinyu Yan, Wenxian Yu, Trieu-Kien Truong:
GNSS Interference Type Recognition With Fingerprint Spectrum DNN Method. IEEE Trans. Aerosp. Electron. Syst. 58(5): 4745-4760 (2022) - [c108]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 - [c107]Xingyu Ren, Di He, Xuyu Gao, Zhicheng Zhou, Chih-Chun Ho:
An Improved Hidden Markov Model for Indoor Positioning. ChinaCom 2022: 403-420 - [c106]Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu:
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. CVPR 2022: 15202-15212 - [c105]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 - [c104]Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Boosting the Certified Robustness of L-infinity Distance Nets. ICLR 2022 - [c103]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 - [c102]Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He:
Your Transformer May Not be as Powerful as You Expect. NeurIPS 2022 - [c101]Chuwei Wang, Shanda Li, Di He, Liwei Wang:
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS 2022 - [c100]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin:
Online Training Through Time for Spiking Neural Networks. NeurIPS 2022 - [c99]Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. NeurIPS 2022 - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]Huishuai Zhang, Da Yu, Yiping Lu, Di He:
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. CoRR abs/2206.04316 (2022) - [i57]Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Di He, Liwei Wang:
One Transformer Can Understand Both 2D & 3D Molecular Data. CoRR abs/2210.01765 (2022) - [i56]Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. CoRR abs/2210.01787 (2022) - [i55]Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin:
Online Training Through Time for Spiking Neural Networks. CoRR abs/2210.04195 (2022) - [i54]Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He:
Denoising Masked AutoEncoders are Certifiable Robust Vision Learners. CoRR abs/2210.06983 (2022) - [i53]Ligen Shi, Chang Liu, Di He, Xing Zhao, Jun Qiu:
Matching entropy based disparity estimation from light field. CoRR abs/2210.15948 (2022) - 2021
- [b2]Di He:
Learn Biologically Meaningful Representation with Transfer Learning. City University of New York, USA, 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) - [c98]Han Li, Di He, Xin Chen, Jiaqing Qu, Lieen Guo:
Distortionless MVDR Beamformer for Conformal Array GNSS Receiver. ChinaCom 2021: 220-234 - [c97]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 - [c96]Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu:
Taking Notes on the Fly Helps Language Pre-Training. ICLR 2021 - [c95]Guolin Ke, Di He, Tie-Yan Liu:
Rethinking Positional Encoding in Language Pre-training. ICLR 2021 - [c94]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 - [c93]Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu:
How could Neural Networks understand Programs? ICML 2021: 8476-8486 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [c88]Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev:
The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) 2021: 29-40 - [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
- [b1]Di He:
The benefits of acoustic perceptual information for speech processing systems. University of Illinois Urbana-Champaign, USA, 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]