Showing results 6 to 25 of 36
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| Issue Date | Title | Author(s) |
| 2023-01-01 | CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models | Zhao, J; Fang, M; Shi, Z; Li, Y; Chen, L; Pechenizkiy, M |
| 2023 | CITB: A Benchmark for Continual Instruction Tuning | Zhang, Z; Fang, M; Chen, L; Namazi-Rad, M-R |
| 2020-12-12 | Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games | Xu, Y; Fang, M; Chen, L; Zhou, T; Du, Y; Zhang, C |
| 2020-08-01 | Deep Reinforcement Learning with Transformers for Text Adventure Games | Xu, Y; Chen, L; Fang, M; Wang, Y; Zhang, C |
| 2020-10 | Development and External Validation of Radiomics Approach for Nuclear Grading in Clear Cell Renal Cell Carcinoma. | Zhou, H; Mao, H; Dong, D; Fang, M; Gu, D; Liu, X; Xu, M; Yang, S; Zou, J; Yin, R; Zheng, H; Tian, J; Pan, C; Fang, X |
| 2019-03-01 | Enhancing the robustness of neural collaborative filtering systems under malicious attacks | Du, Y; Fang, M; Yi, J; Xu, C; Cheng, J; Tao, D |
| 2021-01-01 | Generalization in Text-based Games via Hierarchical Reinforcement Learning | Xu, Y; Fang, M; Chen, L; Du, Y; Zhang, C |
| 2013-11-25 | Hierarchical sampling for multi-instance ensemble learning | Yuan, H; Fang, M; Zhu, X |
| 2023-01-01 | How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances | Zhang, Z; Fang, M; Chen, L; Namazi-Rad, MR; Wang, J |
| 2012-12-01 | I don't know the label: Active learning with blind knowledge | Fang, M; Zhu, X |
| 2022-01-01 | Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics | Zhang, Z; Fang, M; Chen, L; Namazi-Rad, MR |
| 2016-01-01 | Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering | Wang, Y; Wenjie, Z; Wu, L; Lin, X; Fang, M; Pan, S |
| 2013-10-31 | Knowledge transfer for multi-labeler active learning | Fang, M; Yin, J; Zhu, X |
| 2016-01-01 | Linear submodular bandits with a knapsack constraint | Yu, B; Fang, M; Tao, D |
| 2016-01-01 | Multi-label active learning based on maximum correntropy criterion: Towards robust and discriminative labeling | Wang, Z; Du, B; Zhang, L; Fang, M; Tao, D |
| 2022-09-14 | Neisseria species as pathobionts in bronchiectasis. | Li, L; Mac Aogáin, M; Xu, T; Jaggi, TK; Chan, LLY; Qu, J; Wei, L; Liao, S; Cheng, HS; Keir, HR; Dicker, AJ; Tan, KS; De Yun, W; Koh, MS; Ong, TH; Lim, AYH; Abisheganaden, JA; Low, TB; Hassan, TM; Long, X; Wark, PAB; Oliver, B; Drautz-Moses, DI; Schuster, SC; Tan, NS; Fang, M; Chalmers, JD; Chotirmall, SH |
| 2020-10 | Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics. | Gong, L; Xu, M; Fang, M; Zou, J; Yang, S; Yu, X; Xu, D; Zhou, L; Li, H; He, B; Wang, Y; Fang, X; Dong, D; Tian, J |
| 2019-02-25 | Occurrence of antibiotics in the main rivers of Shenzhen, China: Association with antibiotic resistance genes and microbial community | Qiu, W; Sun, J; Fang, M; Luo, S; Tian, Y; Dong, P; Xu, B; Zheng, C |
| 2022-01-01 | Perceiving the World: Question-guided Reinforcement Learning for Text-based Games | Xu, Y; Fang, M; Chen, L; Du, Y; Zhou, JT; Zhang, C |
| 2021-07-08 | Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. | Xu, Y; Fang, M; Chen, L; Xu, G; Du, Y; Zhang, C |
