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Kunpeng Liu

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (42) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ† Keyword Champion (2)
πŸ”¬ Deep Specialist (10) πŸ—ƒοΈ Keyword Collector (98) ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze

Venues

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)

Research topics

Machine Learning (17) Core Methods (12) Learning Types Β· Machine Learning (9) Artificial Intelligence (6) Natural Language Processing (6) Reinforcement Learning (6) Core AI (6) Methods (6) Deep Learning (5) Application Areas (4) Learning Types Β· Deep Learning (4) Resources & Methods (4) Generation (3) Optimization & Theory (3) Mathematics & Optimization (2)

Keywords

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

Papers

Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer EACL 2026 Efficient Post-Training Refinement of Latent Reasoning in Large Language Models AAAI 2026 Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks EACL 2026 Diversity-oriented Data Augmentation with Large Language Models ACL 2025 Dual-Agent Reinforcement Learning for Automated Feature Generation IJCAI 2025 Dynamic and Adaptive Feature Generation with LLM IJCAI 2025 Entropy-based Exploration Conduction for Multi-step Reasoning ACL 2025 Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025 LEKA: LLM-Enhanced Knowledge Augmentation IJCAI 2025 Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning IJCAI 2025 RATT: A Thought Structure for Coherent and Correct LLM Reasoning AAAI 2025 Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection AAAI 2025 Two-Stage Feature Generation with Transformer and Reinforcement Learning IJCAI 2025 Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection AAAI 2025 Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning AAAI 2024 Hierarchical Reinforcement Learning for Point of Interest Recommendation IJCAI 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