Hsin-Pai Cheng

Researcher, Qualcomm Inc, QualComm

Joined

September 2018

Names

Hsin-Pai Cheng (Preferred)

Emails

****@duke.edu (Confirmed)

****@qti.qualcomm.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Qualcomm Inc, QualComm (qti.qualcomm.com)

2021 – Present

PhD student

ECE, Duke University (duke.edu)

2017 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Yiran Chen

2015 – 2021

PhD Advisor

Hai Li

2015 – 2021

Expertise

Computer vision

2015 – 2024

Neural Architecture Search

2018 – 2021

Neural morphic computing

2015 – 2017

Publications

Generative Scenario Rollouts for End-to-End Autonomous Driving
Rajeev Yasarla, Deepti Hegde, Shizhong Han, Hsin-Pai Cheng, Yunxiao Shi, MeysamSadeghi, Shweta Mahajan, Apratim Bhattacharyya, Litian Liu, Risheek Garrepalli, Thomas Svantesson, Fatih Porikli, Hong Cai
- Conference on Computer Vision and Pattern Recognition 2026
- Readers: Everyone
CoReDiT: Spatial Coherence-Guided Token Pruning and Reconstruction for Efficient Diffusion Transformers
Zhuojin Li, Hsin-Pai Cheng, Hong Cai, Shizhong Han, Fatih Porikli
- EDGE Poster
- Readers: Everyone
COREDIT: SPATIAL COHERENCE-GUIDED TOKEN PRUNING AND RECONSTRUCTION FOR EFFICIENT DIF- FUSION TRANSFORMERS
Zhuojin Li, Hsin-Pai Cheng, Hong Cai, Shizhong Han, Fatih Porikli
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
RoCA: Robust Cross-Domain End-to-End Autonomous Driving
Rajeev Yasarla, Shizhong Han, Hsin-Pai Cheng, Apratim Bhattacharyya, Shweta Mahajan, Litian Liu, Yunxiao Shi, Risheek Garrepalli, Hong Cai, Fatih Porikli
- Submitted to ICLR 2026
- Readers: Everyone
Leveraging Probabilistic Modeling for Robust End-to-End Autonomous Driving across Domains
Rajeev Yasarla, Shizhong Han, Hsin-Pai Cheng, Litian Liu, Shweta Mahajan, Apratim Bhattacharyya, Yunxiao Shi, Risheek Garrepalli, Hong Cai, Fatih Porikli
- SPIGM @ NeurIPS
- Readers: Everyone
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer
Pierre-David Letourneau, Manish Kumar Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Harper Langston, Hong Cai, Fatih Porikli
- ICLR 2025 Poster
- Readers: Everyone
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
Mingu Lee, Saurabh Pitre, Tianyu Jiang, Pierre-David Letourneau, Matthew J Morse, Kanghwan Jang, Joseph Soriaga, Parham Noorzad, Hsin-Pai Cheng, Christopher Lott
- Published: 01 Feb 2023, Last Modified: 23 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation
Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
- Published: 16 May 2022, Last Modified: 05 May 2023
- AutoML-Conf 2022 (Main Track)
- Readers: Everyone
Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions
Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li
- 2019 (modified: 16 Jul 2019)
- SafeAI@AAAI 2019
- Readers: Everyone

Co-Authors

View all 35 co-authors