XINYANG GENG
11 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27)
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(5)
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Research topics
Machine Learning
(10)
Application Areas
(5)
Artificial Intelligence
(4)
Learning Types
(4)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Deep Learning
(2)
Applications
(2)
Architectures
(2)
Core AI
(2)
Core Methods
(2)
Methods
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Keywords
model-based optimization
(3)
offline optimization
(2)
black-box optimization
(2)
offline reinforcement learning
(2)
representation learning
(2)
multi-task learning
(2)
robotic manipulation
(1)
knowledge distillation
(1)
reinforcement learning
(1)
uncertainty quantification
(1)
online reinforcement learning
(1)
adversarial training
(1)
instruction following
(1)
inverse reinforcement learning
(1)
curriculum learning
(1)
sequence optimization
(1)
distribution shift
(1)
skill discovery
(1)
gene expression
(1)
transfer learning
(1)
Papers
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
ICLR 2025
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization
NeurIPS 2024
Sequential Modeling Enables Scalable Learning for Large Vision Models
CVPR 2024
The False Promise of Imitating Proprietary Language Models
ICLR 2024
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning
CoRL 2023
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
ICLR 2023
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
ICML 2022
Conservative Objective Models for Effective Offline Model-Based Optimization
ICML 2021
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery
ICLR 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
NeurIPS 2020
Automatic Goal Generation for Reinforcement Learning Agents
ICML 2018