Lei Song

27 papers · 2015–2025 · 10 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (10) 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)

🌈 Renaissance Researcher (8) 🗺️ Taxonomy Completionist (52) 🤝 Dynamic Duo (16) 👑 Triple Crown 🏆 Grand Slam 💎 Century Club (27) ⚡ Prolific Year (12) 🗃️ Keyword Collector (89)

Conferences

AAAI (5) ICML (5) IJCAI (5) ACL (3) NIPS (3) ICLR (2) AACL (1) IJCNLP (1) L4DC (1) NAACL (1)

Top co-authors

Jiang Bian (16) Li Zhao (5) Rui Wang (5) Ke Xue (4) Chuheng Zhang (4) Jingjing Fu (4) Jinyu Wang (4) Chao Qian (4) Linjie Xu (3) Zijian Li (3)

Keywords

graph neural network (4) in-context learning (3) few-shot learning (3) question answering (3) bayesian optimization (3) neural network (2) monte carlo tree search (2) combinatorial optimization (2) large language model (2) transfer learning (2) traveling salesman problem (2) black-box optimization (2) reinforcement learning (2) chart reasoning (2) graph classification (1) information bottleneck (1) text classification (1) bayesian inference (1) catastrophic forgetting (1) transformer architecture (1)

Papers

Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models NAACL 2025 HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks AAAI 2025 Exploring Rationale Learning for Continual Graph Learning AAAI 2025 Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation AACL 2025 OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval ACL 2025 Learning to Select In-Context Demonstration Preferred by Large Language Model ACL 2025 Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning ICLR 2025 From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning ICML 2025 Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning ICML 2025 Reinforced In-Context Black-Box Optimization IJCAI 2025 Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation IJCNLP 2025 Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions L4DC 2025 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems ICML 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 TimeX++: Learning Time-Series Explanations with Information Bottleneck ICML 2024 Protecting Your LLMs with Information Bottleneck NIPS 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024 Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024 Whittle Index with Multiple Actions and State Constraint for Inventory Management ICLR 2024 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem AAAI 2023 Robust Situational Reinforcement Learning in Face of Context Disturbances ICML 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NIPS 2022 Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems IJCAI 2018 A Simple Probabilistic Extension of Modal Mu-calculus IJCAI 2015 Planning for Stochastic Games with Co-Safe Objectives IJCAI 2015