Yingbing Huang

12 papers A* 4A 1B 1Journal 6
YearRankTypeTitle / Venue / Authors
2025 A conf
Invited Paper: Hardware-Software Co-Design for Highly Optimized, Customized, and Reliable AI Systems.
ICCAD
Jörg Henkel, Mehdi B. Tahoori, Heba Khdr, Hassan Nassar, Vincent Meyers, Deming Chen, Selin Yildirim, Yingbing Huang, Nirmal R. Saxena, Saurabh Hukerikar, Srivi Dhruvanarayan
2025 J jnl
JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation.
CoRR
Yingbing Huang, Deming Chen, Abhishek K. Umrawal
2025 J jnl
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs.
CoRR
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
2024 A* conf
Adversarial Imitation Learning via Boosting.
ICLR
Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun
2024 J jnl
Adversarial Imitation Learning via Boosting.
CoRR
Jonathan D. Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun
2024 B conf
Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification.
ASPDAC
Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen
2024 A* conf
Invited: New Solutions on LLM Acceleration, Optimization, and Application.
DAC
Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen
2024 J jnl
New Solutions on LLM Acceleration, Optimization, and Application.
CoRR
Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen
2024 A* conf
SnapKV: LLM Knows What You are Looking for Before Generation.
NeurIPS
Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
2024 J jnl
SnapKV: LLM Knows What You are Looking for Before Generation.
CoRR
Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
2023 J jnl
Active Representation Learning for General Task Space with Applications in Robotics.
CoRR
Yifang Chen, Yingbing Huang, Simon S. Du, Kevin Jamieson, Guanya Shi
2023 A* conf
Active representation learning for general task space with applications in robotics.
NeurIPS
Yifang Chen, Yingbing Huang, Simon S. Du, Kevin Jamieson, Guanya Shi