Jianye Hao

Latest

• Latent-Guided Reasoning: Empowering Small LLMs with Large-Model Thinking
• Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis
• A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic Optimization
• Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization
• Evolving Graph Structured Programs for Circuit Generation with Large Language Models
• Following the Navigation: Enhancing Small Language Models Contextual Reasoning with LLM Guidance
• Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
• AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
• Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
• Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
• High-Performance Graph System Optimization via Differentiable Architecture Search
• LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
• OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
• Accelerating Large Language Model Reasoning via Speculative Search
• Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
• HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
• MAD-EA: A Multi-Mask Driven Evolutionary Algorithm Framework for Macro Placement Refinement
• A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
• Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
• Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
• Differentiable Integer Linear Programming
• LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
• Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
• A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
• A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
• Reinforcement Learning within Tree Search for Fast Macro Placement
• Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
• Rethinking Branching on Exact Combinatorial OPtimization Solver: The First Deep Symbolic Discovery Framework