Xiong Zhou

Applied Scientist, Amazon

Joined

December 2019

Names

Xiong Zhou

Emails

****@gmail.com (Confirmed)

****@amazon.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Applied Scientist

Amazon (amazon.com)

2017 – Present

PhD student

University of Houston (uh.edu)

2012 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Saurabh Prasad

2012 – 2017

Expertise

Image classification

object detection

semantic segmentation

Present

Domain adaptation

active learning

Present

Publications

Be Consistent! Enhancing Robust Visual Reasoning in LVLMs with Consistency Constraints
Liqiang Jing, Xiong Zhou, Siddharth Varia, Neha Anna John, Xinya Du, Vassilis N. Ioannidis
- Submitted to ICLR 2026
- Readers: Everyone
When LLMs get significantly worse: A statistical approach to detect model degradations
Jonas M. Kübler, Kailash Budhathoki, Matthäus Kleindessner, Xiong Zhou, Junming Yin, Ashish Khetan, George Karypis
- ICLR 2026 Poster
- Readers: Everyone
Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li
- ICML 2025 poster
- Readers: Everyone
Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li
- Submitted to ICLR 2025
- Readers: Everyone
Multi-head CLIP: Improving CLIP with Diverse Representations and Flat Minima
Mo Zhou, Xiong Zhou, Li Erran Li, Stefano Ermon, Rong Ge
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Visual Prompt Tuning For Test-time Domain Adaptation
Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Exploiting Invariance in Training Deep Neural Networks
Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov
- 2021 (modified: 15 Sept 2025)
- CoRR 2021
- Readers: Everyone
Advances in Deep Learning for Hyperspectral Image Analysis-Addressing Challenges Arising in Practical Imaging Scenarios
Xiong Zhou, Saurabh Prasad
- 2020 (modified: 12 Sept 2025)
- CoRR 2020
- Readers: Everyone
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding.
Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder
- 2019 (modified: 10 Nov 2022)
- CVPR2019
- Readers: Everyone
Deep Feature Alignment Neural Networks for Domain Adaptation of Hyperspectral Data
Xiong Zhou, Saurabh Prasad
- 2018 (modified: 14 Aug 2024)
- IEEE Trans. Geosci. Remote. Sens. 2018
- Readers: Everyone

View all 14 publications

Co-Authors

View all 42 co-authors