ZUXIN LIU
26 papers · 2020–2025 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Dynamic Duo
(16)
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Renaissance Researcher
(7)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(123)
Venues
Top co-authors
Research topics
Artificial Intelligence
(19)
Core AI
(18)
Machine Learning
(15)
Reinforcement Learning
(11)
Methods
(10)
Learning Types Β· Machine Learning
(8)
Deep Learning
(5)
Application Areas
(5)
Computer Vision
(4)
Natural Language Processing
(4)
Domain-Specific
(4)
Analysis
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Keywords
safe reinforcement learning
(6)
constraint satisfaction
(4)
variational inference
(4)
agent system
(3)
policy optimization
(3)
safety constraint
(3)
large language model
(3)
agent training
(2)
zero-shot adaptation
(2)
multi-agent system
(2)
offline reinforcement learning
(2)
data generation
(2)
adversarial robustness
(2)
camera motion
(2)
ai agent
(2)
multi-objective optimization
(2)
autonomous agent
(2)
autonomous driving
(2)
llm agent
(2)
collaborative ai
(2)
Papers
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
ACL 2025
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
EMNLP 2025
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
ACL 2025
SlackAgents: Scalable Collaboration of AI Agents in Workspaces
EMNLP 2025
xLAM: A Family of Large Action Models to Empower AI Agent Systems
NAACL 2025
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
ACL 2025
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
NeurIPS 2024
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
CoRL 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
ICML 2024
Gradient shaping for multi-constraint safe reinforcement learning
L4DC 2024
Learning from Sparse Offline Datasets via Conservative Density Estimation
ICLR 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
AISTATS 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
CoNLL 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
Constrained Decision Transformer for Offline Safe Reinforcement Learning
ICML 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
NeurIPS 2023
Learning Shared Safety Constraints from Multi-task Demonstrations
NeurIPS 2023
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
ICLR 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
Constrained Variational Policy Optimization for Safe Reinforcement Learning
ICML 2022
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving
CVPR 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
CoRL 2022
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
NeurIPS 2022
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
NeurIPS 2020