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2020 – today
- 2023
[j3]Chunpeng Ma
, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, Timothy Baldwin:
On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 79:1-79:19 (2023)- 2022
- [c13]Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn:
FairLib: A Unified Framework for Assessing and Improving Fairness. EMNLP (Demos) 2022: 60-71 - [c12]Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Systematic Evaluation of Predictive Fairness. AACL/IJCNLP (1) 2022: 68-81 - [c11]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Does Representational Fairness Imply Empirical Fairness? AACL/IJCNLP (Findings) 2022: 81-95 - [c10]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Optimising Equal Opportunity Fairness in Model Training. NAACL-HLT 2022: 4073-4084 - [i6]Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn:
fairlib: A Unified Framework for Assessing and Improving Classification Fairness. CoRR abs/2205.01876 (2022) - [i5]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Optimising Equal Opportunity Fairness in Model Training. CoRR abs/2205.02393 (2022) - [i4]Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Systematic Evaluation of Predictive Fairness. CoRR abs/2210.08758 (2022) - 2021
- [j2]Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, Jianzhong Qi:
Evaluating Document Coherence Modelling. Trans. Assoc. Comput. Linguistics 9: 621-640 (2021) - [c9]Chunpeng Ma, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, Timothy Baldwin:
On the (In)Effectiveness of Images for Text Classification. EACL 2021: 42-48 - [c8]Aili Shen, Timothy Baldwin:
A Simple yet Effective Method for Sentence Ordering. SIGDIAL 2021: 154-160 - [i3]Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, Jianzhong Qi:
Evaluating Document Coherence Modelling. CoRR abs/2103.10133 (2021) - [i2]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Contrastive Learning for Fair Representations. CoRR abs/2109.10645 (2021) - 2020
- [b1]Aili Shen:
A multi-faceted approach to document quality assessment. University of Melbourne, Parkville, Victoria, Australia, 2020 - [j1]Aili Shen, Bahar Salehi, Jianzhong Qi, Timothy Baldwin:
A General Approach to Multimodal Document Quality Assessment. J. Artif. Intell. Res. 68: 607-632 (2020)
2010 – 2019
- 2019
- [c7]Aili Shen, Bahar Salehi, Jianzhong Qi, Timothy Baldwin:
Feature-guided Neural Model Training for Supervised Document Representation Learning. ALTA 2019: 47-51 - [c6]Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi, Timothy Baldwin:
Modelling Uncertainty in Collaborative Document Quality Assessment. W-NUT@EMNLP 2019: 191-201 - [c5]Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi:
A Joint Model for Multimodal Document Quality Assessment. JCDL 2019: 107-110 - [i1]Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi:
A Joint Model for Multimodal Document Quality Assessment. CoRR abs/1901.01010 (2019) - 2017
- [c4]Aili Shen, Jianzhong Qi, Timothy Baldwin:
A Hybrid Model for Quality Assessment of Wikipedia Articles. ALTA 2017: 43-52 - 2016
- [c3]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
- [c2]Aili Shen, Jinlong Li:
A Fast Differential Evolution for Constrained Optimization Problems in Engineering Design. BIC-TA 2015: 362-377 - [c1]Jinlong Li, Aili Shen, Guanzhou Lu:
Reference Point Based Constraint Handling Method for Evolutionary Algorithm. ICSI (1) 2015: 294-301
Coauthor Index
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