Jie Tan
32 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (8)
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Cross-Pollinator
(13)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(44)
π§¬
Topic Evolution
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Deep Specialist
(15)
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Keyword Champion
(5)
π€
Dynamic Duo
(17)
π₯
Mega-Team
(49)
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Grand Slam
ποΈ
Keyword Collector
(112)
β‘
Prolific Year
(9)
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Century Club
(32)
π₯
Unstoppable
(9)
π
Trend Setter
Conferences
CORL (16)
RSS (7)
ACL (2)
ICLR (2)
AAAI (1)
ACML (1)
ICML (1)
L4DC (1)
NIPS (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(6)
quadrupedal robot
(5)
model predictive control
(5)
legged robot
(5)
sim-to-real transfer
(4)
deep reinforcement learning
(4)
policy learning
(4)
neural network
(3)
quadruped robot
(3)
robot locomotion
(2)
legged locomotion
(2)
large language model
(2)
sample efficiency
(2)
reward function
(2)
robust control
(2)
optimal control
(2)
system identification
(2)
human-robot interaction
(2)
imitation learning
(2)
model-based reinforcement learning
(2)
Papers
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
RSS 2025
LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing
CORL 2025
Understanding the Stability-based Generalization of Personalized Federated Learning
ICLR 2025
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
UMI-on-Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers
CORL 2024
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model
ACL 2024
Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination
CORL 2024
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
CORL 2024
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
CORL 2023
SayTap: Language to Quadrupedal Locomotion
CORL 2023
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
ICLR 2023
Learning and Adapting Agile Locomotion Skills by Transferring Experience
RSS 2023
Continuous Versatile Jumping Using Learned Action Residuals
L4DC 2023
Language to Rewards for Robotic Skill Synthesis
CORL 2023
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism
CORL 2023
KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking
ACML 2023
Mnemosyne: Learning to Train Transformers with Transformers
NIPS 2023
Learning Semantics-Aware Locomotion Skills from Human Demonstration
CORL 2022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
CORL 2022
Disentangled Motif-aware Graph Learning for Phrase Grounding
AAAI 2021
Fast and Efficient Locomotion via Learned Gait Transitions
CORL 2021
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision
CORL 2021
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
CORL 2020
Learning to Walk in the Real World with Minimal Human Effort
CORL 2020
Neural-DINF: A Neural Network based Framework for Measuring Document Influence
ACL 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
RSS 2020
Learning to Walk Via Deep Reinforcement Learning
RSS 2019
Data Efficient Reinforcement Learning for Legged Robots
CORL 2019
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
RSS 2018
Policies Modulating Trajectory Generators
CORL 2018
Large-Scale Evolution of Image Classifiers
ICML 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
RSS 2017