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ZHANGJIE CAO

23 papers · 2017–2022 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) πŸ—ΊοΈ Taxonomy Completionist (53) 🌈 Renaissance Researcher (5) πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (16) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (23) πŸ—ƒοΈ Keyword Collector (109) πŸš€ Conference Pioneer ⚑ Prolific Year (6)

Conferences

CVPR (9) NIPS (4) AAAI (3) CORL (2) ECCV (2) ICCV (1) ICML (1) RSS (1)

Top co-authors

Mingsheng Long (16) Jianmin Wang (15) Yang Shu (4) Dorsa Sadigh (3) Michael I. Jordan (3) Juan Carlos Niebles (2) Kaichao You (2) Bo Fu (2) Qiang Yang (2) Jialong Wu (1)

Keywords

domain adaptation (7) transfer learning (7) adversarial learning (4) representation learning (4) imitation learning (2) negative transfer (2) policy learning (2) multi-task learning (2) unknown class detection (2) open set domain adaptation (2) temporal alignment (2) knowledge transfer (2) domain generalization (1) metric learning (1) sim-to-real transfer (1) semantic segmentation (1) active learning (1) action recognition (1) hierarchical learning (1) few-shot learning (1)

Papers

Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models NIPS 2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations CORL 2022
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality NIPS 2021
Learning Feasibility to Imitate Demonstrators with Different Dynamics CORL 2021
Transferable Query Selection for Active Domain Adaptation CVPR 2021
MetaSets: Meta-Learning on Point Sets for Generalizable Representations CVPR 2021
Open Domain Generalization with Domain-Augmented Meta-Learning CVPR 2021
Zoo-Tuning: Adaptive Transfer from A Zoo of Models ICML 2021
Robust Learning Through Cross-Task Consistency CVPR 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020
Adversarial Cross-Domain Action Recognition with Co-Attention AAAI 2020
Learning to Detect Open Classes for Universal Domain Adaptation ECCV 2020
Few-Shot Video Classification via Temporal Alignment CVPR 2020
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation CVPR 2019
Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019
Universal Domain Adaptation CVPR 2019
Learning to Transfer Examples for Partial Domain Adaptation CVPR 2019
Partial Adversarial Domain Adaptation ECCV 2018
Partial Transfer Learning With Selective Adversarial Networks CVPR 2018
Conditional Adversarial Domain Adaptation NIPS 2018
Learning Multiple Tasks with Multilinear Relationship Networks NIPS 2017
HashNet: Deep Learning to Hash by Continuation ICCV 2017