Penghui Yang

According to our database, Penghui Yang authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

AutoDFT: A Closed-Loop Multi-Agent Framework for Autonomous DFT Calculations.

Penghui Yang, Zhonghan Zhang, Yue Li, Xinrun Wag, Yanchen Deng, Yuhao Lu, Bijun Tang, Zheng Liu, Bo An

CoRR, May, 2026

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification.

Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du, Bo An

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys.

Yanchen Deng, Chendong Zhao, Yixuan Li, Bijun Tang, Xinrun Wang, Zhonghan Zhang, Yuhao Lu, Penghui Yang, Jianguo Huang, Yushan Xiao, Cuntai Guan, Zheng Liu, Bo An

CoRR, November, 2025

A Unified Open Adapter for Open-World Noisy Label Learning: Data-Centric and Learning-Based Insights.

Chen-Chen Zong, Penghui Yang, Ming-Kun Xie, Sheng-Jun Huang

IEEE Trans. Circuits Syst. Video Technol., August, 2025

AutoMAT: A Hierarchical Framework for Autonomous Alloy Discovery.

Penghui Yang, Chendong Zhao, Bijun Tang, Zhonghan Zhang, Xinrun Wang, Yanchen Deng, Yuhao Lu, Cuntai Guan, Zheng Liu, Bo An

CoRR, July, 2025

LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification.

Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du, Bo An

CoRR, February, 2025

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.

Longxu Dou, Qian Liu, Fan Zhou, Changyu Chen, Zili Wang, Ziqi Jin, Zichen Liu, Tongyao Zhu, Cunxiao Du, Penghui Yang, Haonan Wang, Jiaheng Liu, Yongchi Zhao, Xiachong Feng, Xin Mao, Man Tsung Yeung, Kunat Pipatanakul, Fajri Koto, Min Si Thu, Hynek Kydlícek, Zeyi Liu, Qunshu Lin, Sittipong Sripaisarnmongkol, Kridtaphad Sae-Khow, Nirattisai Thongchim, Taechawat Konkaew, Narong Borijindargoon, Anh Dao, Matichon Maneegard, Phakphum Artkaew, Zheng-Xin Yong, Quan Nguyen, Wannaphong Phatthiyaphaibun, Hoang H. Tran, Mike Zhang, Shiqi Chen, Tianyu Pang, Chao Du, Xinyi Wan, Wei Lu, Min Lin

CoRR, February, 2025

FLAIN: Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons.

Binbin Ding, Penghui Yang, Sheng-Jun Huang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head.

Penghui Yang, Chen-Chen Zong, Sheng-Jun Huang, Lei Feng, Bo An

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks.

Binbin Ding, Penghui Yang, Sheng-Jun Huang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons.

Binbin Ding, Penghui Yang, Zeqing Ge, Shengjun Huang

CoRR, 2024

2023

Multi-Label Knowledge Distillation.

Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023