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Zichuan Liu

11 papers · 2018–2026 · 6 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 (25) πŸƒ Academic Marathon Β· Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze
πŸ‘‘ Triple Crown 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (64)

Venues

ICML (3) CVPR (2) ICCV (2) ICLR (2) NeurIPS (1) UAI (1)

Top co-authors

Tianchun Wang (5) Chunlin Chen (3) Wei Cheng (3) Lei Song (3) Guosheng Lin (3) Weisi Lin (2) Jiang Bian (2) Wang Ling Goh (2) Xiang Zhang (2) Fayao Liu (2)

Research topics

Artificial Intelligence (8) Core AI (8) Machine Learning (5) Computer Vision (3) Deep Learning (3) Core Methods (3) Learning Types (3) Models (2) Processing (2) Data Science & Analytics (1) Mathematics & Optimization (1) Reinforcement Learning (1) Analysis (1) Architectures (1) Generation (1)

Keywords

information bottleneck (2) contrastive learning (1) video segmentation (1) semantic segmentation (1) image generation (1) time series (1) reinforcement learning (1) object detection (1) visual question answering (1) text generation (1) interpretable machine learning (1) scene text detection (1) multi-agent reinforcement learning (1) visual attention (1) majority voting (1) adversarial attack (1) additive model (1) traveling salesman problem (1) feature fusion (1) combinatorial optimization (1)

Papers

On the Effect of Sampling Diversity in Scaling LLM Inference UAI 2026 Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors ICLR 2025 InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity ICCV 2025 Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024 Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems ICML 2024 Protecting Your LLMs with Information Bottleneck NeurIPS 2024 TimeX++: Learning Time-Series Explanations with Information Bottleneck ICML 2024 NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning ICML 2023 SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering ICCV 2019 Towards Robust Curve Text Detection With Conditional Spatial Expansion CVPR 2019 Learning Markov Clustering Networks for Scene Text Detection CVPR 2018