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Conghui Tan
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2020 – today
- 2024
- [j5]Yixin Chen
, Di Jiang
, Conghui Tan
, Yuanfeng Song
, Chen Jason Zhang, Lei Chen
:
Neural Moderation of ASMR Erotica Content in Social Networks. IEEE Trans. Knowl. Data Eng. 36(1): 275-280 (2024) - 2023
- [j4]Yawen Li, Di Jiang
, Rongzhong Lian, Xueyang Wu, Conghui Tan, Yi Xu
, Zhiyang Su:
Heterogeneous Latent Topic Discovery for Semantic Text Mining. IEEE Trans. Knowl. Data Eng. 35(1): 533-544 (2023) - 2022
- [j3]Yuqiu Qian, Conghui Tan
, Danhao Ding, Hui Li
, Nikos Mamoulis
:
Fast and Secure Distributed Nonnegative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 34(2): 653-666 (2022) - [c7]Yuanfeng Song, Rongzhong Lian, Yixin Chen, Di Jiang, Xuefang Zhao, Conghui Tan, Qian Xu, Raymond Chi-Wing Wong:
A Platform for Deploying the TFE Ecosystem of Automatic Speech Recognition. ACM Multimedia 2022: 6952-6954 - 2021
- [j2]Di Jiang
, Conghui Tan
, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong
, Chang Liu, Qian Xu, Qiang Yang, Li Deng:
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning. ACM Trans. Intell. Syst. Technol. 12(3): 30:1-30:19 (2021) - [c6]Xinya Zhou, Conghui Tan, Di Jiang, Bosen Zhang, Si Li, Yajing Xu, Qian Xu, Sheng Gao:
Memetic Federated Learning for Biomedical Natural Language Processing. NLPCC (2) 2021: 43-55 - 2020
- [j1]Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang:
Accelerated dual-averaging primal-dual method for composite convex minimization. Optim. Methods Softw. 35(4): 741-766 (2020) - [c5]Conghui Tan, Di Jiang, Huaxiao Mo, Jinhua Peng, Yongxin Tong
, Weiwei Zhao, Chaotao Chen, Rongzhong Lian, Yuanfeng Song, Qian Xu:
Federated Acoustic Model Optimization for Automatic Speech Recognition. DASFAA (3) 2020: 771-774 - [c4]Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang:
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition. IJCAI 2020: 3709-3715 - [i5]Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang:
Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization. CoRR abs/2001.05537 (2020) - [i4]Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis:
Fast and Secure Distributed Nonnegative Matrix Factorization. CoRR abs/2009.02845 (2020)
2010 – 2019
- 2019
- [i3]Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu:
Central Server Free Federated Learning over Single-sided Trust Social Networks. CoRR abs/1910.04956 (2019) - 2018
- [c3]Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. NeurIPS 2018: 8376-8385 - [c2]Yuqiu Qian, Conghui Tan, Nikos Mamoulis, David W. Cheung:
DSANLS: Accelerating Distributed Nonnegative Matrix Factorization via Sketching. WSDM 2018: 450-458 - [i2]Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. CoRR abs/1811.01182 (2018) - 2016
- [c1]Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian:
Barzilai-Borwein Step Size for Stochastic Gradient Descent. NIPS 2016: 685-693 - [i1]Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian:
Barzilai-Borwein Step Size for Stochastic Gradient Descent. CoRR abs/1605.04131 (2016)
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last updated on 2024-05-08 21:46 CEST by the dblp team
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