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← Authors

Cheng Liu

24 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (13)
🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (62) 🌍 Conference Polyglot (10) πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (122) ⚑ Prolific Year (5)

Conferences

AAAI (6) ACL (4) CVPR (3) COLING (2) ICLR (2) IJCAI (2) NIPS (2) ACML (1) EMNLP (1) MIDL (1)

Top co-authors

Si Wu (7) Hau San Wong (4) Hau-San Wong (3) Le Jiang (2) Yong Qin (2) Lianxin Xie (2) Rui Li (2) Jiaming Zhou (2) Jian Li (2) Wen Xue (2)

Keywords

representation learning (3) domain adaptation (2) mutual learning (2) face restoration (2) semantic segmentation (2) reinforcement learning (2) graph neural network (2) large language model (2) unsupervised learning (2) semi-supervised learning (2) gene expression (2) image restoration (1) multi-source learning (1) anomaly detection (1) contrastive learning (1) causal inference (1) text generation (1) reward modeling (1) medical imaging (1) causal discovery (1)

Papers

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation AAAI 2026 Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering AAAI 2026 Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification AAAI 2026 TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models AAAI 2026 ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5 ACL 2025 CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards EMNLP 2025 Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 2025 CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision ACL 2025 S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning ACL 2025 Ordering-Based Causal Discovery for Linear and Nonlinear Relations NIPS 2024 LinNet: Linear Network for Efficient Point Cloud Representation Learning NIPS 2024 RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention AAAI 2024 Identifying while Learning for Document Event Causality Identification ACL 2024 Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning COLING 2024 Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration CVPR 2024 SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation IJCAI 2024 MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions ICLR 2023 3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor Segmentation MIDL 2023 Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation CVPR 2023 Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network COLING 2022 Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware ICLR 2020 Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification CVPR 2019 Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations IJCAI 2019 SDC-causing Error Detection Based on Lightweight Vulnerability Prediction ACML 2019