Jingtian Dang

According to our database, Jingtian Dang authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Enabling AI ASICs for Zero Knowledge Proof.

Jianming Tong, Jingtian Dang, Simon Langowski, Tianhao Huang, Asra Ali, Jeremy Kun, Jevin Jiang, Srinivas Devadas, Tushar Krishna

CoRR, April, 2026

SCALE-Sim TPU: Validating and Extending SCALE-Sim for TPUs.

Jingtian Dang, Ritik Raj, Changhai Man, Jianming Tong, Tushar Krishna

CoRR, March, 2026

Towards System-2 AI: Workloads and Characterizations of Energy-Based Models.

Hanchen Yang, Jiayi Qian, Zishen Wan, Jingtian Dang, Ziwei Li, Yilun Du, Tushar Krishna

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2026

Leveraging ASIC AI Chips for Homomorphic Encryption.

Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Anupam Golder, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind, G. Edward Suh, Tushar Krishna

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

Leveraging ASIC AI Chips for Homomorphic Encryption.

Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind, Anupam Golder, G. Edward Suh, Tushar Krishna

Dataset, December, 2025

Leveraging ASIC AI Chips for Homomorphic Encryption.

Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind, Anupam Golder, Gookwon Edward Suh, Tushar Krishna

Dataset, December, 2025

Leveraging ASIC AI Chips for Homomorphic Encryption.

Jianming Tong, Tianhao Huang, Leo de Castro, Anirudh Itagi, Jingtian Dang, Anupam Golder, Asra Ali, Jevin Jiang, Arvind, G. Edward Suh, Tushar Krishna

CoRR, January, 2025

2024

Accurate Low-Degree Polynomial Approximation of Non-Polynomial Operators for Fast Private Inference in Homomorphic Encryption.

Jingtian Dang, Jianming Tong, Anupam Golder, Cong Hao, Arijit Raychowdhury, Tushar Krishna

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024