OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition. - Qi She; Fan Feng; Xinyue Hao 001; Qihan Yang; Chuanlin Lan; Vincenzo Lomonaco; Xuesong Shi; Zhengwei Wang; Yao Guo; Yimin Zhang 002; Fei Qiao; Rosa H. M. Chan (CoRR, 2019)

OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning. - Qi She; Fan Feng; Xinyue Hao 001; Qihan Yang; Chuanlin Lan; Vincenzo Lomonaco; Xuesong Shi; Zhengwei Wang; Yao Guo; Yimin Zhang 002; Fei Qiao; Rosa H. M. Chan (ICRA, 2020)

IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. - Qi She; Fan Feng; Qi Liu 042; Rosa H. M. Chan; Xinyue Hao 001; Chuanlin Lan; Qihan Yang; Vincenzo Lomonaco; German Ignacio Parisi; Heechul Bae; Eoin Brophy; Baoquan Chen; et al. (CoRR, 2020)

IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. - Heechul Bae; Eoin Brophy; Rosa H. M. Chan; Baoquan Chen; Fan Feng; Gabriele Graffieti; Vidit Goel; Xinyue Hao 001; Hyonyoung Han; Sathursan Kanagarajah; Somesh Kumar; Siew-Kei Lam; et al. (IEEE Robotics Autom. Mag., 2020)

Towards lifelong object recognition: A dataset and benchmark. - Chuanlin Lan; Fan Feng; Qi Liu 042; Qi She; Qihan Yang; Xinyue Hao 001; Ivan Mashkin; Ka Shun Kei; Dong Qiang; Vincenzo Lomonaco; Xuesong Shi; Zhengwei Wang; et al. (Pattern Recognit., 2022)

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao 001; Gen Li 008; Laura Sevilla-Lara; Shashank Narayana Gowda (CoRR, 2023)

Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao 001; Gen Li 008; Shashank Narayana Gowda; Xiaobo Jin; Laura Sevilla-Lara (ECCV Workshops (22), 2024)

Principles of Visual Tokens for Efficient Video Understanding. - Xinyue Hao 001; Gen Li 008; Shreyank N. Gowda; Robert B. Fisher; Jonathan Huang; Anurag Arnab; Laura Sevilla-Lara (CoRR, 2024)

Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training. - Shriram M. S; Xinyue Hao 001; Shihao Hou; Yang Lu 009; Laura Sevilla-Lara; Anurag Arnab; Shreyank N. Gowda (CoRR, 2025)