Publications
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Showing 60 publications
2026
Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments
RoboBRIDGE: A Modular Framework for Bridging Policies to Robust Real-World Robotic Agents
Knothe-Rosenblatt Quantile Regression for Risk-sensitive Multi-objective Reinforcement Learning
Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents
Efficient Skill Grounding via Code Refactoring with Small Language Models
Cross-Domain Demo-to-Code via Neurosymbolic Counterfactual Reasoning
Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments
2025
Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
World Model Implanting for Test-time Adaptation of Embodied Agents
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains
Model Risk-sensitive Offline Reinforcement Learning
2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
LLM-based Skill Diffusion for Zero-shot Policy Adaptation
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
Embodied CoT Distillation From LLM To Off-the-shelf Agents
Model Adaptation for Time Constrained Embodied Control
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
2023
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
A Configurable Model-Based Reinforcement Learning Framework for Disaggregated Storage Systems
A Maturity Model for Trustworthy AI Software Development
2022
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Federated Offline Reinforcement Learning for Autonomous Systems
Sample-Efficient Deep Learning Techniques for Burn Severity Assessment with Limited Data Conditions
Toward an Effective Bug Triage System Using Transformers to Add New Developers
Integrating A Deep Learning-based Plane Detector in Mobile AR Systems for Improvement of Plane Detection
A Graph Convolution Network-Based Bug Triage System to Learn Heterogeneous Graph Representation of Bug Reports
Transfer Learning based Precise Pose Estimation with Insufficient Data
Iterative Pruning-based Model Compression for Pose Estimation on Resource-constrained Devices
Mean-variance Based Risk-sensitive Reinforcement Learning with Interpretable Attention
Reinforcement Learning based Load Balancing in a Distributed Heterogeneous Storage System
Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
2021
A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network
Repot: Transferable Reinforcement Learning for Quality-Centric Networked Monitoring in Various Environments
Efficient User-Level Multi-Path Utilization in RDMA Networks
Differentiable Ranking Metric Using Relaxed Sorting for Top-K Recommendation
Gemma: Reinforcement Learning-Based Graph Embedding and Mapping for Virtual Network Applications
ML for RT: Priority Assignment Using Machine Learning
GPU-Ether: GPU-native Packet I/O for GPU Applications on Commodity Ethernet
Deep Learning-Based Logging Recommendation Using Merged Code Representation
2020
rocorl: Transferable Reinforcement Learning-Based Robust Control for Cyber-Physical Systems With Limited Data Updates
Fixed Priority Global Scheduling from a Deep Learning Perspective
Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers
Panda: Reinforcement Learning-Based Priority Assignment for Multi-Processor Real-Time Scheduling
Continual Prediction of Bug-Fix Time Using Deep Learning-Based Activity Stream Embedding
Room-Area Adhoc Group Management for Timely Coordination of Voice-Enabled Consumer Devices
2019
SCARL: Attentive Reinforcement Learning-Based Scheduling in a Multi-Resource Heterogeneous Cluster
Resource-Efficient Sensor Data Management for Autonomous Systems Using Deep Reinforcement Learning
Event-Triggered Ephemeral Group Communication and Coordination over Sound for Smart Consumer Devices
Deep Reinforcement Learning Based Sensor Data Management for Vehicles
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