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2020 – today
- 2024
[j29]Xiaofeng Lu, Xuan Wang
, Zhengyang Wang, Xinhong Hei:
Multi-layer features template update object tracking algorithm based on SiamFC++. EURASIP J. Image Video Process. 2024(1): 1 (2024)- [j28]Wu Li, Yuyong Yang, Bocheng Tao, Zhengyang Wang, Huailai Zhou, Yuanjun Wang:
VSP wavefields separating method based on parallel local slope scanning. Comput. Geosci. 191: 105643 (2024) - [j27]Chunqing Ran, Xiaobo Zhang, Hao Yu, Zhengyang Wang, Shengli Wang, Jichao Yang:
Combined Filtering Method for Offshore Oil and Gas Platform Point Cloud Data Based on KNN_PCF and Hy_WHF and Its Application in 3D Reconstruction. Sensors 24(2): 615 (2024) - [j26]Zhengyang Wang, Xu Ma, Junhuan Peng, Mengyao Shi, Yun Peng, Yuhan Su, Zhaocheng Guo, Wenwen Wang:
Quantitative Analysis of SAR Image Geometric Distortion and Its Application in Deformation Rate Fusion Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3780-3790 (2024) - [j25]Zhengyang Wang, Xiaobo Zhang, Chunqing Ran, Hao Yu, Shengli Wang, Qianran Zhang, Yunli Nie, Xinghua Zhou:
Deep Learning-Based Semantic Segmentation and Surface Reconstruction for Point Clouds of Offshore Oil Production Equipment. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [c36]Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao:
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. EMNLP 2024: 1009-1025 - [c35]Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang:
Data Diversity Matters for Robust Instruction Tuning. EMNLP (Findings) 2024: 3411-3425 - [c34]Xueyi Luo, Minxia Liu, Zheng Han, Weipeng Jiang, Zhengyang Wang, Kunwu Li, Yu Gu, Mohammad Shidujaman:
A Study on Cognitive Style Type Test and Its Application in Teaching Activities. HCI (4) 2024: 254-274 - [c33]Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao:
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. ICDE 2024: 1380-1393 - [c32]Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang:
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. ICLR 2024 - [c31]Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang:
Language Models as Semantic Indexers. ICML 2024 - [c30]Jie Cheng, Shugui Zhou, Quan Zhang, Xiangchen Meng, Weihan Liu, Shengyue Dong, Aixia Yang, Qi Zeng, Manqing Liu, Zhengyang Wang, Mengfei Guo, Chenze Wu, Hao Sun, Helin Wang:
A Paradigm for Generating Operational Seamless Land Surface Temperature Products. IGARSS 2024: 1406-1409 - [i35]Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu:
Knowledge Editing on Black-box Large Language Models. CoRR abs/2402.08631 (2024) - [i34]Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang:
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR abs/2403.10667 (2024) - [i33]Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu:
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. CoRR abs/2406.08587 (2024) - [i32]Zongyue Qin, Chen Luo, Zhengyang Wang, Haoming Jiang, Yizhou Sun:
Relational Database Augmented Large Language Model. CoRR abs/2407.15071 (2024) - [i31]Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun:
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. CoRR abs/2408.00114 (2024) - [i30]Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li:
RNR: Teaching Large Language Models to Follow Roles and Rules. CoRR abs/2409.13733 (2024) - [i29]Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji:
Scaling Laws for Predicting Downstream Performance in LLMs. CoRR abs/2410.08527 (2024) - [i28]Zijing Li, Hongbo Li, Zhengyang Wang:
SIMD-style Sorting of Integer Sequence in RLWE Ciphertext. IACR Cryptol. ePrint Arch. 2024: 1648 (2024) - 2023
- [j24]Zhengyang Wang, Xiufen Ye, Xue Shang, Shuzhi Sam Ge, Shuxiang Guo:
Person re-identification method with Mahalanobis TRM triplet on multi-branch network. Appl. Intell. 53(23): 29183-29204 (2023) - [j23]Xiaofeng Lu, Zhengyang Wang, Xuan Wang, Xinhong Hei:
Multi-template temporal information fusion for Siamese object tracking. IET Comput. Vis. 17(1): 51-61 (2023) - [j22]Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1189-1200 (2023) - [j21]Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhengyang Wang, Shuiwang Ji:
Self-Supervised Learning of Graph Neural Networks: A Unified Review. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2412-2429 (2023) - [j20]Zhengyang Wang, Shuiwang Ji:
Second-Order Pooling for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6870-6880 (2023) - [j19]Hao Yu, Zhengyang Wang, Qingjie Zhou, Yuxuan Ma, Zhuo Wang, Huan Liu, Chunqing Ran, Shengli Wang, Xinghua Zhou, Xiaobo Zhang:
Deep-Learning-Based Semantic Segmentation Approach for Point Clouds of Extra-High-Voltage Transmission Lines. Remote. Sens. 15(9): 2371 (2023) - [j18]Xin Liu, Zhengyang Wang, Xiaoyuan Wang:
Full prediction cascade control of permanent magnet toroidal motor with time-varying parameters. Trans. Inst. Meas. Control 45(9): 1673-1684 (2023) - [j17]Wei Yang, Sheng Chen, Zhengyang Wang, Yang Xu, Liusheng Huang:
AutoProfile: An Intelligent Profile Switching System for Smartphones. IEEE Trans. Mob. Comput. 22(6): 3151-3164 (2023) - [j16]Lei Cai, Zhengyang Wang, Rob Kulathinal, Sudhir Kumar, Shuiwang Ji:
Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2528-2538 (2023) - [c29]Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) 2023: 172-185 - [c28]Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren:
SCOTT: Self-Consistent Chain-of-Thought Distillation. ACL (1) 2023: 5546-5558 - [c27]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) 2023: 10105-10118 - [c26]Karan Samel, Jun Ma, Zhengyang Wang, Tong Zhao, Irfan Essa:
Integrating Noisy Knowledge into Language Representations for E-Commerce Applications. IEEE Big Data 2023: 548-553 - [c25]Xueyan Tang, Yuying Du, Zhengyang Wang, Shawn Chong:
EIP Security Analysis: Application Program Standards, Attack Events, and Security Vulnerabilities. EITCE 2023: 1239-1244 - [c24]Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu:
Knowledge-Selective Pretraining for Attribute Value Extraction. EMNLP (Findings) 2023: 8062-8074 - [c23]Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang:
Improving Consistency for Text Summarization with Energy Functions. EMNLP (Findings) 2023: 11925-11931 - [c22]Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang:
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. KDD 2023: 368-379 - [c21]Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao:
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. KDD 2023: 2302-2313 - [c20]Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu:
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD 2023: 5162-5173 - [c19]Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie:
RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO 2023: 338-352 - [c18]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS 2023 - [c17]Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song:
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. NeurIPS 2023 - [i27]Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren:
SCOTT: Self-Consistent Chain-of-Thought Distillation. CoRR abs/2305.01879 (2023) - [i26]Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang:
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. CoRR abs/2306.08604 (2023) - [i25]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR abs/2307.01933 (2023) - [i24]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR abs/2307.09688 (2023) - [i23]Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu:
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR abs/2310.03518 (2023) - [i22]Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang:
Language Models As Semantic Indexers. CoRR abs/2310.07815 (2023) - [i21]Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song:
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. CoRR abs/2312.16199 (2023) - 2022
- [j15]Zhengyang Wang, Yuyong Yang, Qiaomu Qi, Jianhua Wang, Cong Niu, Huailai Zhou:
Separating P- and S-Waves Based on the Slope of Wavefield Events and Polarizability. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j14]Meng Liu, Zhengyang Wang, Shuiwang Ji:
Non-Local Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10270-10276 (2022) - [c16]Zhengyang Wang, Jason Gu:
Finger Tracking for Human Computer Interface Using Multiple Sensor Data Fusion. CCECE 2022: 319-323 - [c15]Mingjie Xu, Yonghong Song, Kangkang Xie, Pengcheng Guo, Jiaxi Mu, Wen Liu, Zhengyang Wang:
Adaptive Sparse Self-attention for Object Detection. IJCNN 2022: 1-8 - 2021
- [j13]Yifei Xu, Nuo Zhang, Li Li, Genan Sang, Yuewan Zhang, Zhengyang Wang, Pingping Wei:
Joint Learning of Super-Resolution and Perceptual Image Enhancement for Single Image. IEEE Access 9: 48446-48461 (2021) - [j12]Zhengyang Wang, Shuiwang Ji:
Smoothed dilated convolutions for improved dense prediction. Data Min. Knowl. Discov. 35(4): 1470-1496 (2021) - [j11]Zhengyang Wang, Shufang Tian:
Ground object information extraction from hyperspectral remote sensing images using deep learning algorithm. Microprocess. Microsystems 87: 104394 (2021) - [j10]Zhengyang Wang, Yaochen Xie, Shuiwang Ji:
Global voxel transformer networks for augmented microscopy. Nat. Mach. Intell. 3(2): 161-171 (2021) - [j9]Hongyang Gao, Zhengyang Wang, Lei Cai, Shuiwang Ji:
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2570-2581 (2021) - [c14]Xiaofeng Lu, Xuan Wang, Zhengyang Wang, Xinhong Hei:
Template Update Based on 3D-Convolutional Siamese Network for Object Tracking. ACCC 2021: 57-62 - [c13]Zhengyang Wang, Sheng Chen, Wei Yang, Yang Xu:
Environment-Independent Wi-Fi Human Activity Recognition with Adversarial Network. ICASSP 2021: 3330-3334 - [c12]Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu:
Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization. IJCNN 2021: 1-8 - [i20]Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu:
Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization. CoRR abs/2102.09188 (2021) - [i19]Yaochen Xie, Zhao Xu, Zhengyang Wang, Shuiwang Ji:
Self-Supervised Learning of Graph Neural Networks: A Unified Review. CoRR abs/2102.10757 (2021) - 2020
- [j8]Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Pixel Transposed Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1218-1227 (2020) - [j7]Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Global Pixel Transformers for Virtual Staining of Microscopy Images. IEEE Trans. Medical Imaging 39(6): 2256-2266 (2020) - [c11]Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Non-Local U-Nets for Biomedical Image Segmentation. AAAI 2020: 6315-6322 - [c10]Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji:
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. ICDM 2020: 1322-1327 - [c9]Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
Kronecker Attention Networks. KDD 2020: 229-237 - [c8]Yaochen Xie, Zhengyang Wang, Shuiwang Ji:
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising. NeurIPS 2020 - [d1]Zhengyang Wang, Yaochen Xie, Shuiwang Ji:
zhengyang-wang/GVTNets: Code for "Global Voxel Transformer Networks for Augmented Microscopy". Zenodo, 2020
- [i18]Meng Liu, Zhengyang Wang, Shuiwang Ji:
Non-Local Graph Neural Networks. CoRR abs/2005.14612 (2020) - [i17]Zhengyang Wang, Xia Hu, Shuiwang Ji:
iCapsNets: Towards Interpretable Capsule Networks for Text Classification. CoRR abs/2006.00075 (2020) - [i16]Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
Kronecker Attention Networks. CoRR abs/2007.08442 (2020) - [i15]Zhengyang Wang, Shuiwang Ji:
Second-Order Pooling for Graph Neural Networks. CoRR abs/2007.10467 (2020) - [i14]Zhengyang Wang, Yaochen Xie, Shuiwang Ji:
Global Voxel Transformer Networks for Augmented Microscopy. CoRR abs/2008.02340 (2020) - [i13]Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji:
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. CoRR abs/2009.07203 (2020) - [i12]Lei Cai, Zhengyang Wang, Rob Kulathinal, Sudhir Kumar, Shuiwang Ji:
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples. CoRR abs/2010.10050 (2020) - [i11]Yaochen Xie, Zhengyang Wang, Shuiwang Ji:
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising. CoRR abs/2010.11971 (2020) - [i10]Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. CoRR abs/2011.08877 (2020) - [i9]Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji:
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery. CoRR abs/2012.01981 (2020)
2010 – 2019
- 2019
- [j6]Rui Guo, Huixian Shi, Dong Zheng, Chunming Jing, Chaoyuan Zhuang, Zhengyang Wang:
Flexible and Efficient Blockchain-Based ABE Scheme With Multi-Authority for Medical on Demand in Telemedicine System. IEEE Access 7: 88012-88025 (2019) - [j5]Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, Shuiwang Ji:
Computational modeling of cellular structures using conditional deep generative networks. Bioinform. 35(12): 2141-2149 (2019) - [j4]Ziye Wang, Zhengyang Wang, Yang Young Lu, Fengzhu Sun, Shanfeng Zhu:
SolidBin: improving metagenome binning with semi-supervised normalized cut. Bioinform. 35(21): 4229-4238 (2019) - [c7]Zhengyang Wang, Xingzhou Li, Jinjin Ruan, Jiaqing Kou:
Prediction of Cryptocurrency Price Dynamics with Multiple Machine Learning Techniques. ICMLT 2019: 15-19 - [c6]Zhengyang Wang, Hao Yuan, Shuiwang Ji:
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions. SDM 2019: 648-656 - [i8]Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images. CoRR abs/1907.00941 (2019) - 2018
- [c5]Lei Cai, Zhengyang Wang, Hongyang Gao, Dinggang Shen, Shuiwang Ji:
Deep Adversarial Learning for Multi-Modality Missing Data Completion. KDD 2018: 1158-1166 - [c4]Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
Large-Scale Learnable Graph Convolutional Networks. KDD 2018: 1416-1424 - [c3]Zhengyang Wang, Shuiwang Ji:
Smoothed Dilated Convolutions for Improved Dense Prediction. KDD 2018: 2486-2495 - [c2]Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. NeurIPS 2018: 5203-5211 - [c1]Zhengyang Wang, Shuiwang Ji:
Learning Convolutional Text Representations for Visual Question Answering. SDM 2018: 594-602 - [i7]Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
Large-Scale Learnable Graph Convolutional Networks. CoRR abs/1808.03965 (2018) - [i6]Zhengyang Wang, Shuiwang Ji:
Smoothed Dilated Convolutions for Improved Dense Prediction. CoRR abs/1808.08931 (2018) - [i5]Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. CoRR abs/1809.01330 (2018) - [i4]Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation. CoRR abs/1812.04103 (2018) - 2017
- [i3]Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji:
Pixel Deconvolutional Networks. CoRR abs/1705.06820 (2017) - [i2]Zhengyang Wang, Hao Yuan, Shuiwang Ji:
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions. CoRR abs/1705.06821 (2017) - [i1]Zhengyang Wang, Shuiwang Ji:
Learning Convolutional Text Representations for Visual Question Answering. CoRR abs/1705.06824 (2017) - 2013
- [j3]Guanghui Zhao, Fangfang Shen, Zhengyang Wang, Weijia Wu, Guangming Shi, Danhua Liu:
A high quality image reconstruction method based on nonconvex decoding. Sci. China Inf. Sci. 56(11): 1-10 (2013) - [j2]Guanghui Zhao, Fangfang Shen, Zhengyang Wang, Guangming Shi:
Cauchy diversity measures: a novel methodology for enhancing sparsity in compressed sensing. IET Signal Process. 7(9): 791-799 (2013) - 2012
- [j1]Guanghui Zhao, Zhengyang Wang, Qi Wang, Guangming Shi, Fangfang Shen:
Robust ISAR imaging based on compressive sensing from noisy measurements. Signal Process. 92(1): 120-129 (2012)
Coauthor Index
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