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- A framework for controllable Pareto front learning with completed scalarization functions and its applications23
This study demonstrates the convergence and completion aspects of solving MOO with pseudoconvex scalarization functions and combines them into Hypernetwork in order to offer a comprehensive framework for PFL, called Controllable Pareto Front Learning.
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- Utterance-Style-Dependent Speaker Verification Using Emotional Embedding with Pretrained Models2
The findings suggest that neutral speech is not always the optimal choice for speaker verification and that well-designed emotion-dependent authentication can offer a practical and robust security solution.
- Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization–
This work proposes to address the instability and inefficiency of existing PSL methods with a novel controllable PSL method, called Co-PSL, which consists of two stages: warm-starting Bayesian optimization to obtain quality Gaussian Processes priors and controLLable Pareto set learning to accurately acquire a parametric mapping from preferences to the corresponding Pare to solutions.
Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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