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Xiangchi Yuan
Observed name:
Yuan, Xiangchi
Institution:
Georgia Institute of Technology
Observed institutions:
Georgia Institute of Technology,
University of Electronic Science and Technology of China,
Brandeis University
ORCID:
0000-0001-5270-4817
Observed ORCID:
0000-0001-5270-4817
OpenAlex ID:
A5072246587
An End-to-End 12-Leading Electrocardiogram Diagnosis System Based on Deformable Convolutional Neural Network With Good Antinoise Ability
2021
·
Lang Qin
, Yuntao Xie
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
47
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
2025
·
Zheyuan Liu
, Guangyao Dou
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
4
PDF
Graph Cross Supervised Learning via Generalized Knowledge
2024
·
Xiangchi Yuan
, Yijun Tian
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
1
Behavior Knowledge Merge in Reinforced Agentic Models
2026
·
Association for Computational Linguistics 2026
, Lee, Wenke
, et al.
·
Underline Science Inc.
MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
2026
·
Association for Computational Linguistics 2026
, Jiang, Meng
, et al.
·
Underline Science Inc.
What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning
2026
·
Association for Computational Linguistics 2026
, Diao, Xingjian
, et al.
·
Underline Science Inc.
Inference-Time Control for Trustworthy Large Language Models
2026
·
Yuyang Bai
, Zheyuan Liu
, et al.
·
Preprints.org
MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
2026
·
Liu, Zheyuan
, Kim, Dongwhi
, et al.
·
arXiv (Cornell University)
PDF
Safety-Aware Contrastive Decoding for Contextual Safety in Multimodal Large Language Models
2026
·
Zheyuan Liu
, Zhangchen Xu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Mitigating Forgetting Between Supervised and Reinforcement Learning Yields Stronger Reasoners
2026
·
Xiangchi Yuan
, Xiang Chen
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
2025
·
Lau, Matthew
, Zhou, Tian-Yi
, et al.
·
arXiv (Cornell University)
PDF
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
2025
·
Liu, Zheyuan
, Dou, Guangyao
, et al.
·
arXiv (Cornell University)
PDF
Growing Through Experience: Scaling Episodic Grounding in Language Models
2025
·
Chunhui Zhang
, Sirui Wang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
Superficial Self-Improved Reasoners Benefit from Model Merging
2025
·
Xiangchi Yuan
, Chunhui Zhang
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
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Works count:
15
Citation count:
52
H-index:
2
I10-index:
1
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