Haotian Lu

According to our database, Haotian Lu authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

EMSpice 3: Full-chip Temperature-Aware Multiphysics Electromigration and IR-Drop Analysis.

Haotian Lu, Sheldon X.-D. Tan

CoRR, April, 2026

WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network.

Haotian Lu, Jincong Lu, Sachin Sachdeva, Sheldon X.-D. Tan

CoRR, March, 2026

Accelerating Physics-Based Electromigration Analysis via Rational Krylov Subspaces.

Sheldon X.-D. Tan, Haotian Lu

CoRR, February, 2026

BPINN-EM-Post: Bayesian Physics-Informed Neural Network based Stochastic Electromigration Damage Analysis in the Post-void Phase.

Subed Lamichhane, Haotian Lu, Sheldon X.-D. Tan

Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

2025

EMSpice 2.1: A Coupled EM and IR Drop Analysis Tool with Joule Heating and Thermal Map Integration for VLSI Reliability.

Subed Lamichhane, Haotian Lu, Sheldon X.-D. Tan

CoRR, July, 2025

BPINN-EM-Post: Stochastic Electromigration Damage Analysis in the Post-Void Phase based on Bayesian Physics-Informed Neural Network.

Subed Lamichhane, Haotian Lu, Sheldon X.-D. Tan

CoRR, March, 2025

EMSpice 2.1: A Coupled EM and IR Drop Analysis Tool with Joule Heating and Thermal Mapb Integration for VLSI Reliability.

Subed Lamichhane, Haotian Lu, Sheldon X.-D. Tan

Proceedings of the 21st International Conference on Synthesis, 2025

Power Map Characterization and Modeling for Commercial CPU/GPUs Considering Temperature Dependence.

Jincong Lu, Sachin Sachdeva, Haotian Lu, Sheldon X.-D. Tan

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

The Unlikely Hero: Nonidealities in Analog Photonic Neural Networks as Built-in Adversarial Defenders.

Haotian Lu, Ziang Yin, Partho Bhoumik, Sanmitra Banerjee, Krishnendu Chakrabarty, Jiaqi Gu

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks.

Haotian Lu, Ziang Yin, Partho Bhoumik, Sanmitra Banerjee, Krishnendu Chakrabarty, Jiaqi Gu

CoRR, 2024

DOCTOR: Dynamic On-Chip Remediation Against Temporally-Drifting Thermal Variations Toward Self-Corrected Photonic Tensor Accelerators.

Haotian Lu, Sanmitra Banerjee, Jiaqi Gu

CoRR, 2024

2023

Energy-efficient NTT Design with One-bank SRAM and 2-D PE Array.

Jianan Mu, Huajie Tan, Jiawen Wu, Haotian Lu, Chip-Hong Chang, Shuai Chen, Shengwen Liang, Jing Ye, Huawei Li, Xiaowei Li

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023