Wei Chen

EviLink addresses the ambiguity of schema linking in Text-to-SQL by treating it as an uncertainty-aware inference over multiple plausible SQL paths, significantly improving recall and efficiency.

EviLink addresses the ambiguity of schema linking in Text-to-SQL by treating it as an uncertainty-aware inference over multiple plausible SQL paths, significantly improving recall and efficiency.

This paper proposes VisTCP, a visualization framework for structured representation of Traditional Chinese Paintings using a TCP-oriented intelligent model and expert knowledge.

This paper presents a cross-platform survey of accelerators for open modification search in mass spectrometry, identifying memory- and storage-centric architectures as a key breakthrough for large-scale, high-speed search acceleration.

This paper proposes ADAPT, an auto-bidding framework that extracts and leverages advertiser profiles to improve personalized bidding strategies.

This paper introduces HIFI, a two-stage fine-tuning framework for statistical inference on parameters such as conditional means, which scales to large foundation models and reduces training compute.

The authors present ClinVerse, an interactive environment for training and evaluating medical diagnostic agents.

This paper proposes a flow-guided target-space alignment method called FlowAlign that improves instance-level correspondence while preserving target-space structure in multimodal alignment problems.