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Yu Liang

16 papers · 2020–2026 · 8 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (33) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Grand Slam πŸš€ Conference Pioneer ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (71)

Venues

AAAI (3) IJCAI (3) ACL (2) ICLR (2) MICCAI (2) NeurIPS (2) ICCV (1) ICML (1)

Top co-authors

Malu Zhang (6) Ammar Belatreche (6) Yang Yang (5) Wenjie Wei (5) Zijian Zhou (4) Honglin Cao (4) Shuai Wang (4) Yu Yang (2) Haizhou Li (2) Dehao Zhang (2)

Research topics

Machine Learning (12) Artificial Intelligence (9) Deep Learning (9) Core AI (9) Application Areas (7) Architectures (5) Learning Types (4) Optimization & Theory (3) Techniques (3) Computer Vision (2) Natural Language Processing (2) Analysis (2) Applications (2) Models (2) Computer Science (1)

Keywords

spiking neural network (5) energy efficiency (3) semantic segmentation (2) edge computing (2) generative reward model (2) diffusion model (2) model compression (2) model binarization (2) reinforcement learning from human feedback (2) vision transformer (1) preference alignment (1) knowledge distillation (1) neural machine translation (1) multimodal learning (1) unsupervised learning (1) attention mechanism (1) image retrieval (1) transformer architecture (1) efficient computing (1) temporal dynamics (1)

Papers

ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training ACL 2026 ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework ACL 2026 Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution AAAI 2026 Binary Event-Driven Spiking Transformer IJCAI 2025 BSO: Binary Spiking Online Optimization Algorithm ICML 2025 Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction MICCAI 2025 QP-SNN: Quantized and Pruned Spiking Neural Networks ICLR 2025 SDMatte: Grafting Diffusion Models for Interactive Matting ICCV 2025 Spiking Vision Transformer with Saccadic Attention ICLR 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Polyp-Mamba: Polyp Segmentation with Visual Mamba MICCAI 2024 Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation NeurIPS 2024 Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation IJCAI 2024 CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning AAAI 2023 Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval NeurIPS 2023 Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth IJCAI 2020