Zhihai Wang
11 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π Grand Slam π€ Dynamic Duo (11)
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Century Club Β· Bronze
Venues
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Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(5)
Deep Learning
(4)
Reinforcement Learning
(4)
Methods
(4)
Mathematics & Optimization
(3)
Learning Types Β· Machine Learning
(3)
Optimization
(3)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Applications
(1)
Keywords
reinforcement learning
(5)
mixed integer linear programming
(2)
cutting plane
(2)
sample efficiency
(2)
sequence-to-sequence learning
(1)
branch and bound
(1)
out-of-distribution generalization
(1)
divide and conquer
(1)
graph representation
(1)
multi-objective optimization
(1)
model-based reinforcement learning
(1)
generalization capability
(1)
neural circuit
(1)
q-value function
(1)
evolutionary algorithm
(1)
exploration bonus
(1)
cut selection
(1)
continuous control
(1)
circuit design
(1)
policy optimization
(1)
Papers
Accelerating Large Language Model Reasoning via Speculative Search
ICML 2025
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
ICLR 2025
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
ICLR 2025
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
ICML 2025
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
ICML 2024
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
ICML 2024
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
AAAI 2024
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
NeurIPS 2024
Efficient Exploration in Resource-Restricted Reinforcement Learning
AAAI 2023
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
ICLR 2023
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
AAAI 2022