PPaperPicks

Jie Wang

University of Science and Technology of China (USTC), MIRA Lab, Hefei, China

33 papers at tracked venues · 33 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
  2. Accelerating Large Language Model Reasoning via Speculative Search
  3. Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
  4. Accurate and Scalable Graph Neural Networks via Message Invariance
  5. Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
  6. AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
  7. Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
  8. Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
  9. Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
  10. Differentiable Integer Linear Programming
  11. Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
  12. High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
  13. HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
  14. Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
  15. LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
  16. Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning
  17. LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
  18. OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
  19. ROPO: Robust Preference Optimization for Large Language Models
  20. RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains
  21. A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
  22. A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
  23. Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
  24. Accelerating PDE Data Generation via Differential Operator Action in Solution Space
  25. Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
  26. Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
  27. MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
  28. Neural Krylov Iteration for Accelerating Linear System Solving
  29. Reinforcement Learning within Tree Search for Fast Macro Placement
  30. Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
  31. SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph
  32. Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
  33. Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework