Di He

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 209

Top Venues

Publications

Wengang Cheng, Ziyi Han, Di He, Lifang Wu
Multi-view and region reasoning semantic enhancement for image-text retrieval. Multim. Syst. 30 (4) (2024)
Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, Qingli Zhu, Yong Wang, Liwei Wang
Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses. CoRR (2024)
Qingsi Lai, Lin Yao, Zhifeng Gao, Siyuan Liu, Hongshuai Wang, Shuqi Lu, Di He, Liwei Wang, Cheng Wang, Guolin Ke
End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction. CoRR (2024)
Shihang Lu, Zhuolin Peng, Zhuoling Xiao, Bo Yan, Shuisheng Lin, Sheng Yu, Di He
GraSS: Graph Neural Networks for Loop Closure Detection with Semantic and Spatial Assistance. ISCAS (2024)
Di He, Ganzhao Yuan, Xiao Wang, Pengxiang Xu
Block Coordinate Descent Methods for Optimization under J-Orthogonality Constraints with Applications. CoRR (2024)
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 (2023)
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) (2023)
Xinyan Zhou, Di He, Yongjie Li, Xuhua Shi
Status-aware and energy-efficient data aggregation for inter-tidal monitoring systems. Ad Hoc Networks 146 (2023)
Bo Hu, Di He, Songsong Dai
Symmetric Difference Operators Derived from Overlap and Grouping Functions. Symmetry 15 (8) (2023)
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 (2023)
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)
Guobao Wang, Changshun Zhao, Ying Liu, Di He, Yuqing Wang, Kaiyue Zhang
Mitigating Over-Trust in Chat Companion Robot Interaction Using Augmented Reality. ICAICE (2023)
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)
Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR (2023)
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)
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 (2023)
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)
Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR (2023)
Shuang Wei, Heng Pan, Di He, Longwei Tian
A deep-learning-based time of arrival estimation using kernel sparse encoding scheme. Signal Process. 209 (2023)
Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He
Denoising Masked Autoencoders Help Robust Classification. ICLR (2023)
Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke
3D Molecular Generation via Virtual Dynamics. CoRR (2023)
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 (2023)
Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow
Personalized Predictive ASR for Latency Reduction in Voice Assistants. CoRR (2023)
Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR (2023)
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 (2023)
Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR (2023)
Huishuai Zhang, Da Yu, Yiping Lu, Di He
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. AISTATS (2023)
Heng Pan, Shuang Wei, Di He, Zhuoling Xiao, Shintaro Arai
Mitigating Catastrophic Forgetting in Deep Transfer Learning for Fingerprinting Indoor Positioning. ISCAS (2023)
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)
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 (2023)
Shuqi Lu, Zhifeng Gao, Di He, Linfeng Zhang, Guolin Ke
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+. CoRR (2023)
Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. ICML (2023)
Di He, Zexing Du, Xue Wang, Qing Wang
InterFormer: Human Interaction Understanding with Deformed Transformer. ICIC (5) (2023)
Yibin Wang, Yichen Yang, Di He, Kun He
Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions. ACL (Findings) (2023)
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) (2022)
Xingyu Ren, Di He, Xuyu Gao, Zhicheng Zhou, Chih-Chun Ho
An Improved Hidden Markov Model for Indoor Positioning. ChinaCom (2022)
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)
Chuwei Wang, Shanda Li, Di He, Liwei Wang
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS (2022)
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)
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 (2022)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Online Training Through Time for Spiking Neural Networks. CoRR (2022)
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) (2022)
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)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Boosting the Certified Robustness of L-infinity Distance Nets. ICLR (2022)
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 (2022)
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) (2022)
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 (2022)
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) (2022)
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)
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)
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 (2022)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. NeurIPS (2022)
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 (2022)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. CoRR (2022)
Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He
Denoising Masked AutoEncoders are Certifiable Robust Vision Learners. CoRR (2022)
Ligen Shi, Chang Liu, Di He, Xing Zhao, Jun Qiu
Matching entropy based disparity estimation from light field. CoRR (2022)
Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
Your Transformer May Not be as Powerful as You Expect. CoRR (2022)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Online Training Through Time for Spiking Neural Networks. NeurIPS (2022)
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 (2022)
Chuwei Wang, Shanda Li, Di He, Liwei Wang
Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network? CoRR (2022)
Huishuai Zhang, Da Yu, Yiping Lu, Di He
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. CoRR (2022)
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 (2022)
Han Li, Di He, Xin Chen, Jiaqing Qu, Lieen Guo
Distortionless MVDR Beamformer for Conformal Array GNSS Receiver. ChinaCom (2021)
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)
Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
How could Neural Networks understand Programs? ICML (2021)
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)
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 (2021)
Shanda Li, Xiangning Chen, Di He, Cho-Jui Hsieh
Can Vision Transformers Perform Convolution? CoRR (2021)
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)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Boosting the Certified Robustness of L-infinity Distance Nets. CoRR (2021)
Chengxuan Ying, Guolin Ke, Di He, Tie-Yan Liu
LazyFormer: Self Attention with Lazy Update. CoRR (2021)
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 (2021)
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)
Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli, Yoshua Bengio
Transformers with Competitive Ensembles of Independent Mechanisms. CoRR (2021)
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) (2021)
Guolin Ke, Di He, Tie-Yan Liu
Rethinking Positional Encoding in Language Pre-training. ICLR (2021)
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 (2021)
Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
Taking Notes on the Fly Helps Language Pre-Training. ICLR (2021)
Pingping Ji, Lingge Jiang, Chen He, Zhuxian Lian, Di He
Energy-Efficient Beamforming for Beamspace HAP-NOMA Systems. IEEE Commun. Lett. 25 (5) (2021)
Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
-dist Neurons. CoRR (2021)
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)
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 (2021)
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)
Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
How could Neural Networks understand Programs? CoRR (2021)
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 (2021)
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
Adversarial Training with Rectified Rejection. CoRR (2021)
Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
Revisiting Language Encoding in Learning Multilingual Representations. CoRR (2021)
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)
Di He, Lei Xie
CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics. CoRR (2021)
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 (2021)
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 (2021)
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)
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)
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) (2021)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
Invertible Image Rescaling. CoRR (2020)
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 (2020)
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)
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)
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 (2020)
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)

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Publication Activity (10 Years)

Top Topics

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Di He