Scholar

Xingxing Zhang

Google Scholar ID: RKjiLyAAAAAJ

Tsinghua University

Machine learningOptimization

Citations & Impact

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Citations

2,383

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Publications

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Publications

20 items

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Resume (English only)

Academic Achievements

- Published Papers: 'PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning' accepted by NeurIPS 2024; 'Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks' accepted by NeurIPS 2024; 'To Boost Zero-shot Generalization for Embodied Reasoning with Vision-Language Pretraining' accepted by TIP; 'Towards a General Framework for Continual Learning with Pre-training' accepted by NeurIPS 2023 workshop; Two papers accepted by NeurIPS 2023, one of which was recommended as a spotlight; 'Incorporating Neuro-inspired Adaptability for Continual Learning in Artificial Intelligence' accepted in principle by Nature Machine Intelligence; 'A Comprehensive Survey of Continual Learning: Theory Method and Application' released on arXiv; 'ATZSL: Defensive zero-shot recognition in the presence of adversaries' accepted by IEEE Trans. on MM; 'Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding' accepted by IEEE Trans. on MM; 'CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One' accepted by ECCV 2022

Research Experience

- Postdoctoral Researcher: 2020 - 2022, Department of Computer Science and Technology, Tsinghua University
- Visiting Student: 2018 - 2019, Department of Computer Science, University of Rochester

Education

- PhD in Computer Science: 2015/09 - 2020/07, Institute of Information Science, Beijing Jiaotong University, Advisor: Prof. Yao Zhao
- BSc in Communication Engineering: 2011/09 - 2015/07
- Visiting Student: 2018 - 2019, Department of Computer Science, University of Rochester, Advisor: Prof. Ji Liu

Background

- Research Interests: Machine learning (particularly continual learning, embodied lifelong learning, data selection, zero-shot learning, and few-shot learning), computer vision (particularly image clustering, classification, and retrieval, motion segmentation, activity recognition, and video summarization), embodied intelligence (with a particular focus on learning-based control of robotic systems, including both legged and arm-based robotics)
- Position: Currently a researcher in Beijing, China
- Advisor: Worked closely with Prof. Jun Zhu at Tsinghua University
- Brief Introduction: Post-doctoral researcher in the Department of Computer Science and Technology at Tsinghua University from 2020 to 2022

Miscellany