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Liang Liu

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

Achievements

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+10 more ↓ 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (15) 🧬 Topic Evolution 💎 Century Club (34) 📈 Trend Setter 🗃️ Keyword Collector (177) Prolific Year (9) 🔥 Unstoppable (7)

Conferences

CVPR (10) AAAI (8) ECCV (4) ICCV (4) ACL (3) ICML (3) IJCAI (2) EMNLP (1) INTERSPEECH (1) NSDI (1)

Papers

Improving Batch Normalization with Test-Time Adaptation for Robust Object Detection in Self-Driving AAAI 2026 MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents ACL 2026 UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning AAAI 2026 T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving CVPR 2025 FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data EMNLP 2025 AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents ACL 2025 A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos ACL 2025 MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge ICML 2025 Tooth: Toward Optimal Balance of Video QoE and Redundancy Cost by Fine-Grained FEC in Cloud Gaming Streaming NSDI 2025 Audio-Visual Semantic Graph Network for Audio-Visual Event Localization CVPR 2025 LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views ICML 2024 FRIH: Fine-Grained Region-Aware Image Harmonization AAAI 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024 AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model AAAI 2024 Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes AAAI 2024 SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking CVPR 2024 Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection ECCV 2024 Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection ECCV 2024 Learning From Noisy Labels With Decoupled Meta Label Purifier CVPR 2023 MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection CVPR 2023 Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023 Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer ICML 2023 Calibrated Teacher for Sparsely Annotated Object Detection AAAI 2023 A Mask Free Neural Network for Monaural Speech Enhancement INTERSPEECH 2023 Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption ICCV 2023 Rethinking Mobile Block for Efficient Attention-based Models ICCV 2023 Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection ICCV 2023 ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation CVPR 2022 Iterative Few-shot Semantic Segmentation from Image Label Text IJCAI 2022 HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation AAAI 2021 DualGraph: A Graph-Based Method for Reasoning About Label Noise CVPR 2021 Weighing Counts: Sequential Crowd Counting by Reinforcement Learning ECCV 2020 DTVNet: Dynamic Time-lapse Video Generation via Single Still Image ECCV 2020 Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation CVPR 2020 FReeNet: Multi-Identity Face Reenactment CVPR 2020 Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity IJCAI 2019 From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer ICCV 2019