Yuzhong Chen

According to our database, Yuzhong Chen authored at least 23 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement.

Junpeng Wang, Yuzhong Chen, Menghai Pan, Chin-Chia Michael Yeh, Mahashweta Das

IEEE Trans. Vis. Comput. Graph., June, 2026

ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification.

Xiao Lin, Philip Li, Zhichen Zeng, Tingwei Li, Tianxin Wei, Xuying Ning, Gaotang Li, Yuzhong Chen, Hanghang Tong

CoRR, January, 2026

TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.

Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

TransactionGPT.

Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen

CoRR, November, 2025

Advancing Table Understanding of Large Language Models via Feature Re-ordering.

Guanchu Wang, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Junpeng Wang, Xiaoting Li, Mingzhi Hu, Chia-Yuan Chang, Xia Hu

SIGKDD Explor., June, 2025

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification.

Xiao Lin, Zhichen Zeng, Tianxin Wei, Zhining Liu, Yuzhong Chen, Hanghang Tong

CoRR, April, 2025

Taming Knowledge Conflicts in Language Models.

Gaotang Li, Yuzhong Chen, Hanghang Tong

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.

Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Fine-Grained Graph Rationalization.

Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

THeGCN: Temporal Heterophilic Graph Convolutional Network.

Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Xiaoting Li, Zhe Xu, Zhichen Zeng, Zhining Liu, Hanghang Tong

CoRR, 2024

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.

Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr

Proceedings of the ACM on Web Conference 2024, 2024

PaCEr: Network Embedding From Positional to Structural.

Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong

Proceedings of the ACM on Web Conference 2024, 2024

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation.

Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Discrete-state Continuous-time Diffusion for Graph Generation.

Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Anomaly Detection with Adaptive Node Mixup.

Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations.

Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Invariant Graph Transformer.

Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong

CoRR, 2023

Knowledge Graph Question Answering with Ambiguous Query.

Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the ACM Web Conference 2023, 2023

From Trainable Negative Depth to Edge Heterophily in Graphs.

Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Node Classification Beyond Homophily: Towards a General Solution.

Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Kernel Ridge Regression-Based Graph Dataset Distillation.

Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Tackling Diverse Minorities in Imbalanced Classification.

Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks.

Bo Dong, Yuhang Wu, Micheal Yeh, Yusan Lin, Yuzhong Chen, Hao Yang, Fei Wang, Wanxin Bai, Krupa Brahmkstri, Yimin Zhang, Chinna Kummitha, Verma Abhisar

Proceedings of the Information and Communications Security - 24th International Conference, 2022