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Guiquan Liu
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2020 – today
- 2024
- [c37]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen, Jingyun Zhang:
Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts. ICIC (LNAI 4) 2024: 459-470 - [c36]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Locating and Mitigating Gender Bias in Large Language Models. ICIC (LNAI 4) 2024: 471-482 - [i6]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Editing Knowledge Representation of Language Lodel via Rephrased Prefix Prompts. CoRR abs/2403.14381 (2024) - [i5]Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen:
Locating and Mitigating Gender Bias in Large Language Models. CoRR abs/2403.14409 (2024) - 2023
- [j10]Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu:
Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. J. Comput. Sci. Technol. 38(6): 1272-1287 (2023) - [c35]Rongxi Guo, Wanrong Jiang, Xi Zhao, Ding Cao, Guiquan Liu:
ASMix: An Attention-based Smooth Data Augmentation Approach. SEKE 2023: 456-461 - 2022
- [j9]Xianwei Meng
, Hao Fu
, Liqun Peng
, Guiquan Liu
, Yang Yu, Zhong Wang
, Enhong Chen
:
D-LSTM: Short-Term Road Traffic Speed Prediction Model Based on GPS Positioning Data. IEEE Trans. Intell. Transp. Syst. 23(3): 2021-2030 (2022) - [c34]Wei Huang, Chen Liu, Bo Xiao, Yihua Zhao, Zhaoming Pan, Zhimin Zhang, Xinyun Yang, Guiquan Liu:
Exploring Label Hierarchy in a Generative Way for Hierarchical Text Classification. COLING 2022: 1116-1127 - [c33]Xi Zhao, Tingrui Zhang, Yuxiao Lu, Guiquan Liu:
LoCSGN: Logic-Contrast Semantic Graph Network for Machine Reading Comprehension. NLPCC (1) 2022: 405-417 - 2021
- [j8]Haibo Fan
, Guiquan Liu
, Yanfei Liu, Jianming Ye:
Multi-Branch Global Graph Convolution Network for Point Clouds. IEEE Access 9: 9539-9549 (2021) - [c32]Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li:
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding. AAAI 2021: 12830-12838 - [c31]Kaiyang Zhong
, Guiquan Liu
:
Communication-Efficient Federated Learning with Multi-layered Compressed Model Update and Dynamic Weighting Aggregation. CICAI (2) 2021: 419-430 - [c30]Ya Chen, Wanrong Jiang, Hao Fu, Guiquan Liu:
Spatio-Temporal Dynamic Multi-graph Attention Network for Ride-Hailing Demand Prediction. ICONIP (2) 2021: 133-144 - [c29]Wanrong Jiang, Ya Chen, Hao Fu, Guiquan Liu:
TextCut: A Multi-region Replacement Data Augmentation Approach for Text Imbalance Classification. ICONIP (4) 2021: 427-439 - [c28]Hao Fu, Zhong Wang, Yang Yu, Xianwei Meng, Guiquan Liu:
Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-Hailing Demand Forecasting. PAKDD (1) 2021: 754-765 - [c27]Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li:
Denoising User-aware Memory Network for Recommendation. RecSys 2021: 400-410 - [i4]Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li:
Denoising User-aware Memory Network for Recommendation. CoRR abs/2107.05474 (2021) - [i3]Wei Huang, Chen Liu, Yihua Zhao, Xinyun Yang, Zhaoming Pan, Zhimin Zhang, Guiquan Liu:
Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification. CoRR abs/2109.08585 (2021) - 2020
- [j7]Zhong Wang
, Hao Fu
, Guiquan Liu
, Xianwei Meng
:
Attention-Based Sequence Learning Model for Travel Time Estimation. IEEE Access 8: 221442-221453 (2020) - [c26]Tianxiang Zhao, Lemao Liu, Guoping Huang, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi:
Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. AAAI 2020: 9660-9667 - [c25]Binglei Wang, Tong Xu, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen
:
Author Contributed Representation for Scholarly Network. APWeb/WAIM (1) 2020: 558-573 - [c24]Yang Yu, Lei Zhang, Jiakai Shen, Qingcai Wang, Guiquan Liu:
Seismic Event Detection via Deep Multi-Task Learning. IJCNN 2020: 1-6 - [i2]Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu:
Privacy Preserving PCA for Multiparty Modeling. CoRR abs/2002.02091 (2020) - [i1]Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li:
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding. CoRR abs/2012.07335 (2020)
2010 – 2019
- 2019
- [j6]Jianfeng Lin, Lei Zhang
, Ming He
, Hefu Zhang, Guiquan Liu, Xiuyuan Chen, Zhongming Chen:
Multi-Path Relationship Preserved Social Network Embedding. IEEE Access 7: 26507-26518 (2019) - [j5]Xianwei Meng, Hao Fu
, Guiquan Liu, Lei Zhang
, Yang Yu, Weiyi Hu, Enhong Chen:
Multi-Feature Fusion: A Driver-Car Matching Model Based on Curve Comparison. IEEE Access 7: 83526-83535 (2019) - 2018
- [c23]Yijun Wang
, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu:
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. AAAI 2018: 5553-5560 - [c22]Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen:
Zero-Shot Learning: An Energy Based Approach. ICDM 2018: 797-806 - [c21]Ming He
, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li:
Understand and Assess People's Procrastination by Mining Computer Usage Log. KSEM (1) 2018: 187-199 - [c20]Yang Yu, Jianfeng Lin, Lei Zhang, Guiquan Liu, Jing Hu, Yuyang Tan, Haijiang Zhang:
Identification of Seismic Wave First Arrivals from Earthquake Records via Deep Learning. KSEM (2) 2018: 274-282 - 2017
- [c19]Yunfeng Chen, Lei Zhang, Xin Li, Yu Zong, Guiquan Liu, Enhong Chen:
Incorporating User Preferences Across Multiple Topics into Collaborative Filtering for Personalized Merchant Recommendation. APWeb/WAIM (1) 2017: 575-590 - [c18]Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu
, Guiquan Liu, Enhong Chen:
Social User Profiling: A Social-Aware Topic Modeling Perspective. DASFAA (2) 2017: 610-622 - [c17]Weijieying Ren, Lei Zhang, Bo Jiang, Zhefeng Wang, Guangming Guo, Guiquan Liu:
Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels. KSEM 2017: 543-551 - 2016
- [j4]Guiquan Liu, Heping Ying, Honglei Luo, Xiaoxia Liu, Jinghua Yang:
Suppression of Spiral Breakup in Excitable Media by Local Periodic Forcing. Int. J. Bifurc. Chaos 26(14): 1650236:1-1650236:10 (2016) - [c16]Yan Chen, Xin Li, Lin Li, Guiquan Liu, Guandong Xu:
Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation. DASFAA (1) 2016: 364-380 - [c15]Hao Guo, Xin Li, Ming He
, Xiangyu Zhao, Guiquan Liu, Guandong Xu:
CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation. KSEM 2016: 613-627 - [c14]Junmei Ding, Yan Chen, Xin Li, Guiquan Liu, Aili Shen, Xiangfu Meng:
Unsupervised Expert Finding in Social Network for Personalized Recommendation. WAIM (1) 2016: 257-271 - 2015
- [j3]Hui Li, Guiquan Liu, Chunyan Qu:
频繁和高效用项集挖掘 (Mining Frequent and High Utility Itemsets). 计算机科学 42(5): 82-87 (2015) - [c13]Yiming Yang, Lei Zhang, Guiquan Liu, Enhong Chen:
UPCA: An efficient URL-Pattern based algorithm for accurate web page classification. FSKD 2015: 1475-1480 - 2014
- [c12]Jing Wang, Lei Zhang, Guiquan Liu, Qi Liu, Enhong Chen:
On top-k closed sequential patterns mining. FSKD 2014: 295-300 - [c11]Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu:
Discriminative Representative Selection via Structure Sparsity. ICPR 2014: 1401-1406 - 2013
- [j2]Guiquan Liu, Ningjie Wu, Heping Ying:
The drift of spirals under competitive illumination in an excitable medium. Commun. Nonlinear Sci. Numer. Simul. 18(9): 2398-2401 (2013) - [c10]Hanying Chen, Guiquan Liu, Lei Zhang:
Semi-supervised image classification based on sparse coding spatial pyramid matching. ICIMCS 2013: 273-276 - 2012
- [c9]Leilei Yang, Guiquan Liu, Qi Liu, Lei Zhang, Enhong Chen:
Analyzing Sequence Data Based on Conditional Random Fields with Co-training. CIS 2012: 94-98 - [c8]Wenhui Yang, Guiquan Liu, Lei Zhang, Enhong Chen:
Multi-view learning with batch mode active selection for image retrieval. ICPR 2012: 979-982 - [c7]Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu:
Harnessing the wisdom of the crowds for accurate web page clipping. KDD 2012: 570-578 - [c6]Chengjun Dai, Guiquan Liu, Lei Zhang, Enhong Chen:
Storage Device Performance Prediction with Hybrid Regression Models. PDCAT 2012: 556-559 - 2011
- [c5]Guiquan Liu, Meiling Yao, Desheng Wang, Enhong Chen:
A novel three-phase XML twig pattern matching algorithm based on version tree. FSKD 2011: 1678-1688 - 2010
- [c4]Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen:
Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. NPC 2010: 121-133 - [c3]Xuechen Zhang, Guiquan Liu, Song Jiang:
Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping. NPC 2010: 373-389
2000 – 2009
- 2009
- [c2]Lingyun Wen, Guiquan Liu, Yinghai Zhao:
HS-Model: a hierarchical statistical subtree-generating model for genetic programming. GEC Summit 2009: 1005-1008 - 2008
- [j1]Xin Wu, Guiquan Liu:
XML twig pattern matching using version tree. Data Knowl. Eng. 64(3): 580-599 (2008)
1990 – 1999
- 1999
- [c1]Xiaoping Chen, Guiquan Liu:
A Logic of Intention. IJCAI 1999: 172-179
Coauthor Index
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last updated on 2024-08-10 01:25 CEST by the dblp team
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