A Fast Differential Evolution for Constrained Optimization Problems in Engineering Design. - Aili Shen; Jinlong Li (BIC-TA, 2015)

Reference Point Based Constraint Handling Method for Evolutionary Algorithm. - Jinlong Li; Aili Shen; Guanzhou Lu (ICSI (1), 2015)

Unsupervised Expert Finding in Social Network for Personalized Recommendation. - Junmei Ding; Yan Chen; Xin Li 064; Guiquan Liu; Aili Shen; Xiangfu Meng (WAIM (1), 2016)

A Hybrid Model for Quality Assessment of Wikipedia Articles. - Aili Shen; Jianzhong Qi 001; Timothy Baldwin (ALTA, 2017)

Feature-guided Neural Model Training for Supervised Document Representation Learning. - Aili Shen; Bahar Salehi; Jianzhong Qi 001; Timothy Baldwin (ALTA, 2019)

Modelling Uncertainty in Collaborative Document Quality Assessment. - Aili Shen; Daniel Beck; Bahar Salehi; Jianzhong Qi 001; Timothy Baldwin (W-NUT@EMNLP, 2019)

A Joint Model for Multimodal Document Quality Assessment. - Aili Shen; Bahar Salehi; Timothy Baldwin; Jianzhong Qi 001 (JCDL, 2019)

UOM-FJ at the NTCIR-15 SHINRA2020-ML Task. - Hiyori Yoshikawa; Chunpeng Ma; Aili Shen; Qian Sun; Chenbang Huang; Guillaume Pelat; Akiva Miura; Daniel Beck; Timothy Baldwin; Tomoya Iwakura (NTCIR, 2020)

A General Approach to Multimodal Document Quality Assessment. - Aili Shen; Bahar Salehi; Jianzhong Qi 001; Timothy Baldwin (J. Artif. Intell. Res., 2020)

A multi-faceted approach to document quality assessment. - Aili Shen (2020)

Evaluating Hierarchical Document Categorisation. - Qian Sun; Aili Shen; Hiyori Yoshikawa; Chunpeng Ma; Daniel Beck; Tomoya Iwakura; Timothy Baldwin (ALTA, 2021)

On the (In)Effectiveness of Images for Text Classification. - Chunpeng Ma; Aili Shen; Hiyori Yoshikawa; Tomoya Iwakura; Daniel Beck; Timothy Baldwin (EACL, 2021)

A Simple yet Effective Method for Sentence Ordering. - Aili Shen; Timothy Baldwin (SIGDIAL, 2021)

Contrastive Learning for Fair Representations. - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (CoRR, 2021)

Evaluating Document Coherence Modelling. - Aili Shen; Meladel Mistica; Bahar Salehi; Hang Li; Timothy Baldwin; Jianzhong Qi 001 (Trans. Assoc. Comput. Linguistics, 2021)

FairLib: A Unified Framework for Assessing and Improving Fairness. - Xudong Han; Aili Shen; Yitong Li 002; Lea Frermann; Timothy Baldwin; Trevor Cohn (EMNLP (Demos), 2022)

Systematic Evaluation of Predictive Fairness. - Xudong Han; Aili Shen; Trevor Cohn; Timothy Baldwin; Lea Frermann (AACL/IJCNLP (1), 2022)

Does Representational Fairness Imply Empirical Fairness? - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (AACL/IJCNLP (Findings), 2022)

Optimising Equal Opportunity Fairness in Model Training. - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (NAACL-HLT, 2022)

fairlib: A Unified Framework for Assessing and Improving Classification Fairness. - Xudong Han; Aili Shen; Yitong Li 002; Lea Frermann; Timothy Baldwin; Trevor Cohn (CoRR, 2022)

On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study. - Chunpeng Ma; Aili Shen; Hiyori Yoshikawa; Tomoya Iwakura; Daniel Beck; Timothy Baldwin (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)