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Journal Articles
- 2024
[j61]Xiaona Yang, Bo Ding, Jian Qin, Luyao Guo, Jing Zhao, Yongjun He
:
HVS-Unsup: Unsupervised cervical cell instance segmentation method based on human visual simulation. Comput. Biol. Medicine 171: 108147 (2024)- [j60]Jian Qin, Yongjun He, Yiqin Liang, Lanlan Kang, Jing Zhao, Bo Ding:
Cell comparative learning: A cervical cytopathology whole slide image classification method using normal and abnormal cells. Comput. Medical Imaging Graph. 117: 102427 (2024) - [j59]Lin Xiao, Yunrui Xie, Qiuyue Zuo, Ping Tan, Ping Liu, Yongjun He:
Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion. Inf. Sci. 681: 121217 (2024) - [j58]Xin Zhou, Jinfei Wang, Bo Shan, Yongjun He:
Early-Season Crop Classification Based on Local Window Attention Transformer with Time-Series RCM and Sentinel-1. Remote. Sens. 16(8): 1376 (2024) - [j57]Fan Qian, Jiqing Han, Yadong Guan, Wenjie Song, Yongjun He:
Capturing High-Level Semantic Correlations via Graph for Multimodal Sentiment Analysis. IEEE Signal Process. Lett. 31: 561-565 (2024) - [j56]Jianchen Li, Jiqing Han, Fan Qian, Tieran Zheng, Yongjun He, Guibin Zheng:
Distance Metric-Based Open-Set Domain Adaptation for Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2378-2390 (2024) - [j55]Yadong Guan, Jiqing Han, Hongwei Song, Shiwen Deng, Guibin Zheng, Tieran Zheng, Yongjun He:
Sound Activity-Aware Based Cross-Task Collaborative Training for Semi-Supervised Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3947-3959 (2024) - [j54]Lin Xiao, Penglin Cao, Yongjun He, Liu Luo, Linju Li:
Predefined-Time Noise Immunity ZNN Model for Dynamic Quaternion Least Squares Problem and Application to Synchronization of Hyperchaotic Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1416-1426 (2024) - [j53]Zhaohui Qi, Yingqiang Ning, Lin Xiao, Yongjun He, Jiajie Luo, Biao Luo:
Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9408-9416 (2024) - [j52]Lin Xiao, Xiaopeng Li, Penglin Cao, Yongjun He, Wensheng Tang, Jichun Li, Yaonan Wang:
A Dynamic-Varying Parameter Enhanced ZNN Model for Solving Time-Varying Complex-Valued Tensor Inversion With Its Application to Image Encryption. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13681-13690 (2024) - [j51]Lin Xiao, Xiangru Yan, Yongjun He, Penglin Cao:
A Variable-Gain Fixed-Time Convergent and Robust ZNN Model for Image Fusion: Design, Analysis, and Verification. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3415-3426 (2024) - [j50]Lin Xiao, Sida Xiao, Yongjun He, Jianhua Dai, Yaonan Wang, Yiwei Li:
Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3642-3651 (2024) - [j49]Bo Ding, Libao Zhang, Yongjun He, Jian Qin:
3D shape classification based on global and local features extraction with collaborative learning. Vis. Comput. 40(6): 4539-4551 (2024) - 2023
- [j48]Bo Ding, Yufei Fan, Yongjun He, Jing Zhao:
Enhanced VAEGAN: a zero-shot image classification method. Appl. Intell. 53(8): 9235-9246 (2023) - [j47]Luyang Han, Yongjun He, Bolin Liao, Cheng Hua:
An Accelerated Double-Integral ZNN with Resisting Linear Noise for Dynamic Sylvester Equation Solving and Its Application to the Control of the SFM Chaotic System. Axioms 12(3): 287 (2023) - [j46]Jing Zhao, Yongjun He, Shu-Hang Zhou, Jian Qin, Yining Xie:
CNSeg: A dataset for cervical nuclear segmentation. Comput. Methods Programs Biomed. 241: 107732 (2023) - [j45]Lin Xiao, Penglin Cao, Lei Jia, Yongjun He, Wentong Song:
Prescribed-time robust ZNN models for solving equality and inequality systems. J. Frankl. Inst. 360(13): 9307-9328 (2023) - [j44]Lin Xiao, Yuanfang Zhang, Lei Jia, Yongjun He:
A ZNN-based sliding mode control strategy for solving synchronization problems of chaotic systems with application in memristor oscillator. J. Frankl. Inst. 360(16): 12101-12124 (2023) - [j43]Yongjun He, Jinfei Wang, Chunhua Liao, Xin Zhou, Bo Shan:
MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery. Remote. Sens. 15(2): 478 (2023) - [j42]Jianhua Dai, Ping Tan, Lin Xiao, Lei Jia, Yongjun He, Jiajie Luo:
A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion. IEEE Trans. Fuzzy Syst. 31(11): 3974-3983 (2023) - [j41]Lin Xiao, Yongjun He, Yiwei Li, Jianhua Dai:
Design and Analysis of Two Nonlinear ZNN Models for Matrix LR and QR Factorization With Application to 3-D Moving Target Location. IEEE Trans. Ind. Informatics 19(6): 7424-7434 (2023) - [j40]Lin Xiao, Yongjun He, Yaonan Wang, Jianhua Dai, Ran Wang, Wensheng Tang:
A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2413-2424 (2023) - 2022
- [j39]Yongjun He, Lin Xiao, Fuchun Sun, Yaonan Wang:
A variable-parameter ZNN with predefined-time convergence for dynamic complex-valued Lyapunov equation and its application to AOA positioning. Appl. Soft Comput. 130: 109703 (2022) - [j38]Jian Qin, Yongjun He, Yang Zhou, Jing Zhao, Bo Ding:
REU-Net: Region-enhanced nuclei segmentation network. Comput. Biol. Medicine 146: 105546 (2022) - [j37]Lin Xiao, Yongjun He, Bolin Liao:
A parameter-changing zeroing neural network for solving linear equations with superior fixed-time convergence. Expert Syst. Appl. 208: 118086 (2022) - [j36]Bolin Liao, Yuyan Wang, Jianfeng Li, Dongsheng Guo, Yongjun He:
Harmonic Noise-Tolerant ZNN for Dynamic Matrix Pseudoinversion and Its Application to Robot Manipulator. Frontiers Neurorobotics 16 (2022) - [j35]Lin Xiao, Ping Liu, Yongjun He, Lei Jia, Juan Tao:
A novel ZNN model for fast synchronisation of chaos systems with external disturbances. Neurocomputing 491: 197-205 (2022) - [j34]Dapeng Lang, Deyun Chen, Sizhao Li, Yongjun He:
An Adversarial Attack Method against Specified Objects Based on Instance Segmentation. Inf. 13(10): 465 (2022) - [j33]Jianhua Dai, Ping Tan, Xing Yang, Lin Xiao, Lei Jia, Yongjun He:
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations. Knowl. Based Syst. 242: 108405 (2022) - [j32]Yongjun He, Jinfei Wang, Chunhua Liao, Bo Shan, Xin Zhou:
ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery. Remote. Sens. 14(4): 879 (2022) - [j31]Xin Zhou, Jinfei Wang, Yongjun He, Bo Shan:
Crop Classification and Representative Crop Rotation Identifying Using Statistical Features of Time-Series Sentinel-1 GRD Data. Remote. Sens. 14(20): 5116 (2022) - [j30]Yongjun He, Jinfei Wang, Ying Zhang, Chunhua Liao:
Enhancement of Urban Floodwater Mapping From Aerial Imagery With Dense Shadows via Semisupervised Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9086-9101 (2022) - [j29]Lin Xiao, Sai Liu, Xin Wang, Yongjun He, Lei Jia, Yang Xu:
Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion. IEEE Trans. Ind. Informatics 18(3): 1562-1571 (2022) - [j28]Jianhua Dai, Yuanmeng Chen, Lin Xiao, Lei Jia, Yongjun He:
Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion. IEEE Trans. Ind. Informatics 18(4): 2434-2442 (2022) - [j27]Jing Zhao, Yongjun He, Si-Qi Zhao, Jinjie Huang, Wangmeng Zuo:
AL-Net: Attention Learning Network Based on Multi-Task Learning for Cervical Nucleus Segmentation. IEEE J. Biomed. Health Informatics 26(6): 2693-2702 (2022) - [j26]Jian Qin, Yongjun He, Jinping Ge, Yiqin Liang:
A Multi-Task Feature Fusion Model for Cervical Cell Classification. IEEE J. Biomed. Health Informatics 26(9): 4668-4678 (2022) - [j25]Lin Xiao, Yongjun He, Jianhua Dai, Xinwang Liu, Bolin Liao, Haiyan Tan:
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1535-1545 (2022) - [j24]Jun Yu, Jing Zhao, Huili Shao, Yu Lu, Yongjun He, Lejun Zhang:
Illumination compensation for microscope images based on illumination difference estimation. Vis. Comput. 38(5): 1775-1786 (2022) - 2021
- [j23]Jiaxin Yu, Wenyuan Liu, Yongjun He, Chunyue Zhang:
A Mutually Auxiliary Multitask Model With Self-Distillation for Emotion-Cause Pair Extraction. IEEE Access 9: 26811-26821 (2021) - [j22]Jinjie Huang, Guihua Yang, Biao Li, Yongjun He, Yani Liang:
Segmentation of Cervical Cell Images Based on Generative Adversarial Networks. IEEE Access 9: 115415-115428 (2021) - [j21]Ji Lin, Wenjie Feng, Sergiy Yu. Reutskiy, Haifeng Xu, Yongjun He:
A new semi-analytical method for solving a class of time fractional partial differential equations with variable coefficients. Appl. Math. Lett. 112: 106712 (2021) - [j20]Lin Xiao, Yongjun He, Bolin Liao, Jianhua Dai:
An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations. J. Comput. Appl. Math. 398: 113665 (2021) - [j19]Dapeng Lang, Deyun Chen, Ran Shi, Yongjun He:
Attention-Guided Digital Adversarial Patches on Visual Detection. Secur. Commun. Networks 2021: 6637936:1-6637936:11 (2021) - [j18]Lin Xiao, Juan Tao, Jianhua Dai, Yaonan Wang, Lei Jia, Yongjun He:
A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time. IEEE Trans. Ind. Informatics 17(10): 6634-6643 (2021) - [j17]Lin Xiao, Yongjun He:
A Noise-Suppression ZNN Model With New Variable Parameter for Dynamic Sylvester Equation. IEEE Trans. Ind. Informatics 17(11): 7513-7522 (2021) - [j16]Jing Zhao, Yining Xie, Lei Tang, Yongjun He:
Overlapping region reconstruction in nuclei image segmentation. Vis. Comput. 37(7): 1623-1635 (2021) - 2020
- [j15]Tao Wang, Jinjie Huang, Dequan Zheng, Yongjun He:
Nucleus Segmentation of Cervical Cytology Images Based on Depth Information. IEEE Access 8: 75846-75859 (2020) - [j14]Baoyan Ma, Jian Zhang, Feng Cao, Yongjun He:
MACD R-CNN: An Abnormal Cell Nucleus Detection Method. IEEE Access 8: 166658-166669 (2020) - [j13]Bo Ding, Lei Tang, Zheng Gao, Yongjun He:
3D Shape Classification Using a Single View. IEEE Access 8: 200812-200822 (2020) - [j12]Bo Ding, Lei Tang, Yongjun He:
An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network. Complex. 2020: 9050459:1-9050459:14 (2020) - [j11]Lin Xiao, Qian Yi, Qiuyue Zuo, Yongjun He:
Improved finite-time zeroing neural networks for time-varying complex Sylvester equation solving. Math. Comput. Simul. 178: 246-258 (2020) - [j10]Yongjun He, Jiacheng Lu, Tianzheng Wang:
CoroBase: Coroutine-Oriented Main-Memory Database Engine. Proc. VLDB Endow. 14(3): 431-444 (2020) - [j9]Zhong Zheng, Jinfei Wang, Bo Shan, Yongjun He, Chunhua Liao, Yanghua Gao, Shiqi Yang:
A New Model for Transfer Learning-Based Mapping of Burn Severity. Remote. Sens. 12(4): 708 (2020) - [j8]Chunhua Liao, Jinfei Wang, Qinghua Xie, Ayman Al Baz, Xiaodong Huang, Jiali Shang, Yongjun He:
Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network. Remote. Sens. 12(5): 832 (2020) - 2019
- [j7]Chen Chen, Wei Wang, Yongjun He, Jiqing Han:
A bilevel framework for joint optimization of session compensation and classification for speaker identification. Digit. Signal Process. 89: 104-115 (2019) - 2016
- [j6]Yongjun He, Guanglu Sun, Jiqing Han:
Optimization of learned dictionary for sparse coding in speech processing. Neurocomputing 173: 471-482 (2016) - 2015
- [j5]Yongjun He, Guanglu Sun, Jiqing Han:
Spectrum enhancement with sparse coding for robust speech recognition. Digit. Signal Process. 43: 59-70 (2015) - [j4]Yongjun He, Deyun Chen, Guanglu Sun, Jiqing Han:
Dictionary evaluation and optimization for sparse coding based speech processing. Inf. Sci. 310: 77-96 (2015) - 2014
- [j3]Yongjun He, Jiqing Han, Tieran Zheng, Guanglu Sun:
A new framework for robust speech recognition in complex channel environments. Digit. Signal Process. 32: 109-123 (2014) - 2011
- [j2]Yongjun He, Jiqing Han:
Gaussian Specific Compensation for Channel Distortion in Speech Recognition. IEEE Signal Process. Lett. 18(10): 599-602 (2011) - 1993
- [j1]Yongjun He, Anni Cai, Jingao Sun:
Incremental backprojection algorithm: modification of the searching flow scheme and utilization of the relationship among projection views. IEEE Trans. Medical Imaging 12(3): 555-559 (1993)
Conference and Workshop Papers
- 2024
- [c24]Danrui Qi, Jinglin Peng, Yongjun He, Jiannan Wang:
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data. EDBT 2024: 129-142 - [c23]Yongjun He, Yao Lu, Gustavo Alonso:
Deferred Continuous Batching in Resource-Efficient Large Language Model Serving. EuroMLSys@EuroSys 2024: 98-106 - [c22]Yadong Guan, Jiqing Han, Hongwei Song, Wenjie Song, Guibin Zheng, Tieran Zheng, Yongjun He:
Contrastive Loss Based Frame-Wise Feature Disentanglement for Polyphonic Sound Event Detection. ICASSP 2024: 1021-1025 - [c21]Wenjie Song, Jiqing Han, Jianchen Li, Guibin Zheng, Tieran Zheng, Yongjun He:
Modeling Quasi-Periodic Dependency via Self-Supervised Pre-Training for Respiratory Sound Classification. ICASSP 2024: 1996-2000 - [c20]Qiang Huang, Xin Wang, Susie Xi Rao, Zhichao Han, Zitao Zhang, Yongjun He, Quanqing Xu, Yang Zhao, Zhigao Zheng, Jiawei Jiang:
Benchtemp: A General Benchmark for Evaluating Temporal Graph Neural Networks. ICDE 2024: 4044-4057 - 2023
- [c19]Fan Qian, Jiqing Han, Yongjun He, Tieran Zheng, Guibin Zheng:
Sentiment Knowledge Enhanced Self-supervised Learning for Multimodal Sentiment Analysis. ACL (Findings) 2023: 12966-12978 - [c18]Feng Chen, Shiwen Deng, Tieran Zheng, Yongjun He, Jiqing Han:
Graph-Based Spectro-Temporal Dependency Modeling for Anti-Spoofing. ICASSP 2023: 1-5 - [c17]Meng Xia, Yaping Chang, Yongjun He:
Design of intelligent network OBE teaching evaluation system based on Mixed algorithm. ICIEAI 2023: 453-459 - [c16]Jianchen Li, Jiqing Han, Shiwen Deng, Tieran Zheng, Yongjun He, Guibin Zheng:
Mutual Information-based Embedding Decoupling for Generalizable Speaker Verification. INTERSPEECH 2023: 3147-3151 - 2022
- [c15]Yi Mao, Yuyang Du, Yongjun He, Gengzhen Qi, Pui-In Mak:
A 0.5 to 2GHz Blocker-Tolerant Receiver Achieving 29dBm OOB-IIP3 and 3.2 to 6dB NF Using Bottom-Plate Switched-Capacitor Technique. APCCAS 2022: 82-85 - [c14]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD 2022: 3288-3298 - [c13]Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang:
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. NeurIPS 2022 - [c12]Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang:
Decentralized Training of Foundation Models in Heterogeneous Environments. NeurIPS 2022 - 2020
- [c11]Yongjun He, Qian Yi, Bolin Liao, Lei Ding, Lin Xiao, Pei Liu:
A Variable Parameter Zeroing Neural Network for Resolving Time-Variant Quadratic Minimization with Preferable Performance. ICACI 2020: 38-43 - [c10]Alex Depoutovitch, Chong Chen, Jin Chen, Paul Larson, Shu Lin, Jack Ng, Wenlin Cui, Qiang Liu, Wei Huang, Yong Xiao, Yongjun He:
Taurus Database: How to be Fast, Available, and Frugal in the Cloud. SIGMOD Conference 2020: 1463-1478 - 2018
- [c9]Pei Wang, Yongjun He, Ryan Shea, Jiannan Wang, Eugene Wu:
Deeper: A Data Enrichment System Powered by Deep Web. SIGMOD Conference 2018: 1801-1804 - 2015
- [c8]Jing Zang, Hu Liu, Zhizhong Zhao, Yongjun He:
Effectiveness evaluation-oriented transport aircraft mission simulation system. ICCAIS 2015: 475-480 - [c7]Yongjun He, Chen Chen, Jiqing Han:
Noise-robust speaker recognition based on morphological component analysis. INTERSPEECH 2015: 3001-3005 - 2014
- [c6]Yongjun He, Guanglu Sun, Guibin Zheng, Jiqing Han:
Evaluation of dictionary for sparse coding in speech processing. INTERSPEECH 2014: 2361-2364 - 2012
- [c5]Yongjun He, Jiqing Han, Shiwen Deng, Tieran Zheng, Guibin Zheng:
A solution to residual noise in speech denoising with sparse representation. ICASSP 2012: 4653-4656 - 2011
- [c4]Yongjun He, Jiqing Han, Tieran Zheng, Guibin Zheng:
Compensation of partly reliable components for band-limited speech recognition with missing data techniques. ICASSP 2011: 5476-5479 - 2010
- [c3]Yongjun He, Jiqing Han:
Model synthesis for band-limited speech recognition. INTERSPEECH 2010: 558-561 - 2008
- [c2]Yongjun He, Xiaoyuan Jing:
Local IMLDA and its Improvements. CSSE (1) 2008: 1013-1016 - [c1]Xiaobing Xiong, Hui Shu, Jianmin Chen, Yongjun He:
Wetrp: A Platform for Recording of Windows Program Execution Traces. ISCSCT (1) 2008: 621-625
Informal and Other Publications
- 2024
- [i9]Yadong Guan, Jiqing Han, Hongwei Song, Wenjie Song, Guibin Zheng, Tieran Zheng, Yongjun He:
Contrastive Loss Based Frame-wise Feature disentanglement for Polyphonic Sound Event Detection. CoRR abs/2401.05850 (2024) - [i8]Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo:
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. CoRR abs/2401.12230 (2024) - [i7]Fan Qian, Jiqing Han, Jianchen Li, Yongjun He, Tieran Zheng, Guibin Zheng:
Mutual Information-based Representations Disentanglement for Unaligned Multimodal Language Sequences. CoRR abs/2409.12408 (2024) - 2023
- [i6]Qiang Huang, Jiawei Jiang, Susie Xi Rao, Ce Zhang, Zhichao Han, Zitao Zhang, Xin Wang, Yongjun He, Quanqing Xu, Yang Zhao, Chuang Hu, Shuo Shang, Bo Du:
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks. CoRR abs/2308.16385 (2023) - [i5]Danrui Qi, Jinglin Peng, Yongjun He, Jiannan Wang:
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data. CoRR abs/2310.02540 (2023) - 2022
- [i4]Binhang Yuan, Yongjun He, Jared Quincy Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang:
Decentralized Training of Foundation Models in Heterogeneous Environments. CoRR abs/2206.01288 (2022) - [i3]Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang:
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees. CoRR abs/2206.01299 (2022) - 2021
- [i2]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. CoRR abs/2111.05897 (2021) - 2020
- [i1]Yongjun He, Jiacheng Lu, Tianzheng Wang:
CoroBase: Coroutine-Oriented Main-Memory Database Engine. CoRR abs/2010.15981 (2020)
Coauthor Index
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