Published 'ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs' at NeurIPS 2025
Published 'DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data' at EMNLP Findings 2025 (co-first author)
Published 'CSRec: Rethinking Sequential Recommendation from A Causal Perspective' at SIGIR 2025
Published 'Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning' at CVPR 2025
Published 'MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs' at NAACL Main 2025
Published multiple papers at NAACL Findings 2025 including 'Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement' and 'Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey'
Published 'GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint' in TKDD 2025 (co-first author)
Published 'Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications' at ICWSM 2025
Published 'Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation' at EMNLP Findings 2024 (co-first author)
Published 'Explore Spurious Correlations at the Concept Level in Language Models for Text Classification' at ACL Main 2024
Published 'Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios' at ACL Findings 2024
Published 'Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences' at ACL Main 2024
Published 'Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices' at WSDM 2024 (co-first author)