Active representation learning for general task space with applications in robotics. - Yifang Chen 001; Yingbing Huang; Simon S. Du; Kevin G. Jamieson; Guanya Shi (NeurIPS, 2023)

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 001; Deming Chen (ASPDAC, 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 001; Deming Chen (DAC, 2024)

Adversarial Imitation Learning via Boosting. - Jonathan D. Chang; Dhruv Sreenivas; Yingbing Huang; Kianté Brantley; Wen Sun 002 (ICLR, 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 002; Deming Chen (NeurIPS, 2024)

New Solutions on LLM Acceleration, Optimization, and Application. - Yingbing Huang; Lily Jiaxin Wan; Hanchen Ye; Manvi Jha; Jinghua Wang; Yuhong Li; Xiaofan Zhang 001; Deming Chen (CoRR, 2024)

JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation. - Yingbing Huang; Deming Chen; Abhishek K. Umrawal (CoRR, 2025)