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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 - [i7]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) - [i6]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) - [i5]Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, Yi Li, Jian Cui, Zimu Liu, Shijin Wang, Guoping Hu, Guiquan Liu, Qi Liu, Defu Lian, Enhong Chen:
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models. CoRR abs/2409.13989 (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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