ZHANGJIE CAO

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

Achievements

+11 more ↓

🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (5) 🌍 Conference Polyglot (8) 🗺️ Taxonomy Completionist (53)

🏃 Academic Marathon (5) 🗺️ Taxonomy Completionist (53) 🌈 Renaissance Researcher (5) 🔬 Deep Specialist (10) 🤝 Dynamic Duo (16) 📈 Trend Setter 🔥 Unstoppable (6) 💎 Century Club (23) 🗃️ Keyword Collector (109) 🚀 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