Yingbing Huang

According to our database, Yingbing Huang authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

KVCapsule: Efficient Sequential KV Cache Compression for Vision-Language Models with Asymmetric Redundancy.

Yingbing Huang, Tharun Adithya Srikrishnan, Steven K. Reinhardt, Deming Chen

CoRR, May, 2026

EvoSelect: Data-Efficient LLM Evolution for Targeted Task Adaptation.

Ting-Wei Li, Sirui Chen, Jiaru Zou, Yingbing Huang, Tianxin Wei, Jingrui He, Hanghang Tong

CoRR, April, 2026

2025

Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs.

Xingang Guo, Yaxin Li, Xiangyi Kong, Yilan Jiang, Xiayu Zhao, Zhihua Gong, Yufan Zhang, Daixuan Li, Tianle Sang, Beixiao Zhu, Gregory Jun, Yingbing Huang, Yiqi Liu, Yuqi Xue, Rahul Dev Kundu, Qi Jian Lim, Yizhou Zhao, Luke Alexander Granger, Mohamed Badr Younis, Darioush Keivan, Nippun Sabharwal, Shreyanka Sinha, Prakhar Agarwal, Kojo Vandyck, Hanlin Mai, Zichen Wang, Aditya Venkatesh, Ayush Barik, Jiankun Yang, Chongying Yue, Jingjie He, Libin Wang, Licheng Xu, Hao Chen, Jinwen Wang, Liujun Xu, Rushabh Shetty, Ziheng Guo, Dahui Song, Manvi Jha, Weijie Liang, Weiman Yan, Bryan Zhang, Sahil Bhandary Karnoor, Jialiang Zhang, Rutva Pandya, Xinyi Gong, Mithesh Ballae Ganesh, Feize Shi, Ruiling Xu, Yifan Zhang, Yanfeng Ouyang, Lianhui Qin, Elyse Rosenbaum, Corey Snyder, Peter Seiler, Geir E. Dullerud, Xiaojia Shelly Zhang, Zuofu Cheng, Pavan Kumar Hanumolu, Jian Huang, Mayank Kulkarni, Mahdi Namazifar, Huan Zhang, Bin Hu

CoRR, September, 2025

JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation.

Yingbing Huang, Deming Chen, Abhishek K. Umrawal

CoRR, February, 2025

Invited Paper: Hardware-Software Co-Design for Highly Optimized, Customized, and Reliable AI Systems.

Jörg Henkel, Mehdi B. Tahoori, Heba Khdr, Hassan Nassar, Vincent Meyers, Deming Chen, Selin Yildirim, Yingbing Huang, Nirmal R. Saxena, Saurabh Hukerikar, Srivi Dhruvanarayan

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

2024

New Solutions on LLM Acceleration, Optimization, and Application.

Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen

CoRR, 2024

SnapKV: LLM Knows What You are Looking for Before Generation.

Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen

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

Adversarial Imitation Learning via Boosting.

Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Invited: New Solutions on LLM Acceleration, Optimization, and Application.

Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification.

Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Active representation learning for general task space with applications in robotics.

Yifang Chen, Yingbing Huang, Simon S. Du, Kevin Jamieson, Guanya Shi

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