ZUXIN LIU
27 papers · 2020–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
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Taxonomy Completionist
(39)
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Interdisciplinary Bridge
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Triple Crown
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(16)
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(2)
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Prolific Year
(5)
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Century Club
(27)
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Keyword Collector
(105)
Conferences
NIPS (5)
EMNLP (4)
ICLR (4)
ICML (4)
ACL (3)
CORL (2)
AISTATS (1)
CONLL (1)
CVPR (1)
L4DC (1)
NAACL (1)
Top co-authors
Keywords
safe reinforcement learning
(5)
constraint satisfaction
(4)
large language model
(4)
variational inference
(4)
policy optimization
(3)
llm agent
(3)
agent system
(3)
zero-shot adaptation
(2)
trajectory learning
(2)
agent training
(2)
camera motion
(2)
trajectory datum
(2)
reinforcement learning
(2)
data generation
(2)
adversarial robustness
(2)
multi-objective optimization
(2)
language model
(2)
autonomous driving
(2)
autonomous agent
(2)
ai agent
(2)
Papers
LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
ACL 2025
Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training
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
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
EMNLP 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
ACL 2025
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
EMNLP 2024
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
NIPS 2024
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
CORL 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
AISTATS 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
CONLL 2024
Learning from Sparse Offline Datasets via Conservative Density Estimation
ICLR 2024
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
ICLR 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
ICML 2024
Gradient shaping for multi-constraint safe reinforcement learning
L4DC 2024
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
NIPS 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
ICML 2023
Learning Shared Safety Constraints from Multi-task Demonstrations
NIPS 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data
ICML 2023
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
ICLR 2023
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
CORL 2022
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
NIPS 2022
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving
CVPR 2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning
ICML 2022
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
NIPS 2020