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Shuo Yan

7 accepted papers

2026

Contrastive Cross-Bag Augmentation for Multiple Instance Learning-based Whole Slide Image Classification

CVPR 2026

Recent pseudo-bag augmentation methods for Multiple Instance Learning (MIL)-based Whole Slide Image (WSI) classification sample instances from a limited number of bags, resulting in constrained diversity. To address this issue, we propose Contrastive Cross-Bag Augmentation (C2Aug) to sample instance

Cited by 0SourcecodeScholar
2026

Development of a Mixed-Control Ankle Assist Device with Sensor-Fusion-Based Phase Recognition for Walking Exercise Promotion

ICRA 2026poster

"Frail" elderly often experience walking impairments that limit independence and sustained physical activity. Although various assistive devices exist, many rely on single-mode control, limiting adaptability, responsiveness to gait variability, and voluntary motion. To improve, we developed a wearab…

Cited by 0Scholar
2025

IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction

ACL 2025finding

While large language models (LLMs) have been thoroughly evaluated for deductive and inductive reasoning, their proficiency in holistic rule learning in interactive environments remains less explored. We introduce RULEARN, a novel benchmark to assess the rule-learning abilities of LLM agents in inter…

2025

LMR-BENCH: Evaluating LLM Agent’s Ability on Reproducing Language Modeling Research

EMNLP 2025

Large language model (LLM) agents have demonstrated remarkable potential in advancing scientific discovery. However, their capability in the fundamental yet crucial task of reproducing code from research papers, especially in the NLP domain, remains underexplored. This task includes unique complex r

2025

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria

NAACL 2025long

Multimodal large language models (MLLMs) have broadened the scope of AI applications. Existing automatic evaluation methodologies for MLLMs are mainly limited in evaluating objective queries without considering real-world user experiences, inadequately addressing the nuances of creative and associat…

2025

UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge

NeurIPS 2025poster

Enzyme-catalyzed protein cleavage is essential for many biological functions. Accurate prediction of cleavage sites can facilitate various applications such as drug development, enzyme design, and a deeper understanding of biological mechanisms. However, most existing models are restricted to an ind…

Cited by 0SourcecodeScholar
2024

Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification

ECCV 2024poster

"In recent years, the Whole Slide Image (WSI) classification task has achieved great advancement due to the success of Multiple Instance Learning (MIL). However, the MIL-based studies usually consider instances within each bag as unordered, potentially resulting in the missing of local and global co…