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← Authors

Kunpeng Liu

21 papers · 2020–2026 · 4 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (4)
🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🏆 Keyword Champion (3) 🔬 Deep Specialist (10) 🗃️ Keyword Collector (100) 💎 Century Club (18) ⚡ Prolific Year (11)

Conferences

IJCAI (10) AAAI (6) ACL (3) EACL (2)

Top co-authors

Wanfu Gao (9) Jinghan Zhang (7) Yanjie Fu (6) Dongjie Wang (5) Xinhao Zhang (5) Hanlin Pan (4) Yuanchun Zhou (4) Fengran Mo (3) Lu Jiang (3) Pengyang Wang (3)

Keywords

large language model (7) feature selection (6) reinforcement learning (3) feature generation (3) self-attention mechanism (2) graph representation learning (2) uncertainty quantification (2) representation learning (2) retrieval-augmented generation (2) multi-label classification (2) tabular datum (2) multi-view multi-label learning (2) knowledge transfer (1) imitation learning (1) model robustness (1) contrastive learning (1) paraphrase generation (1) multi-label learning (1) adversarial training (1) embedding space (1)

Papers

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models AAAI 2026 Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer EACL 2026 Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks EACL 2026 Dynamic and Adaptive Feature Generation with LLM IJCAI 2025 RATT: A Thought Structure for Coherent and Correct LLM Reasoning AAAI 2025 Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection AAAI 2025 Diversity-oriented Data Augmentation with Large Language Models ACL 2025 Entropy-based Exploration Conduction for Multi-step Reasoning ACL 2025 Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection AAAI 2025 Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025 Two-Stage Feature Generation with Transformer and Reinforcement Learning IJCAI 2025 Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning IJCAI 2025 Dual-Agent Reinforcement Learning for Automated Feature Generation IJCAI 2025 LEKA: LLM-Enhanced Knowledge Augmentation IJCAI 2025 Hierarchical Reinforcement Learning for Point of Interest Recommendation IJCAI 2024 Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning AAAI 2024 Prototypical Reward Network for Data-Efficient RLHF ACL 2024 TFWT: Tabular Feature Weighting with Transformer IJCAI 2024 Feature and Instance Joint Selection: A Reinforcement Learning Perspective IJCAI 2022 Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective AAAI 2021 Exploiting Mutual Information for Substructure-aware Graph Representation Learning IJCAI 2020