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LU LIU

29 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (73)
πŸ—ΊοΈ Taxonomy Completionist (73) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ’Ž Century Club (26) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (143) ⚑ Prolific Year (10)

Conferences

AAAI (8) ICLR (5) NIPS (4) EMNLP (3) MICCAI (3) ICCV (2) ACL (1) CVPR (1) IJCAI (1) SEMEVAL (1)

Top co-authors

Jing Jiang (8) Guodong Long (8) Tianyi Zhou (7) Chengqi Zhang (5) Cong Xu (4) Qi Jia (4) Tianjin Huang (3) Yaqian Zhao (3) Xuanjing Huang (3) Liang Jin (3)

Keywords

prototype learning (3) graph neural network (3) sentiment analysis (2) weakly supervised learning (2) few-shot learning (2) federated learning (2) nearest neighbor classifier (2) large language model (2) benchmark evaluation (1) domain adaptation (1) zero-shot learning (1) ensemble learning (1) representation learning (1) information bottleneck (1) transfer learning (1) video generation (1) shortcut learning (1) object detection (1) multi-task learning (1) causal discovery (1)

Papers

Explainable Depression Assessment from Face Videos by Weakly Supervised Learning AAAI 2026 Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection AAAI 2026 TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting AAAI 2026 DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation ICCV 2025 PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation AAAI 2025 FineVQ: Fine-Grained User Generated Content Video Quality Assessment CVPR 2025 TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route EMNLP 2025 DeMAC: Enhancing Multi-Agent Coordination with Dynamic DAG and Manager-Player Feedback EMNLP 2025 F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration ICCV 2025 SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training ICLR 2025 Graph-PAVNet: A Graph-Based Learning Framework for Pulmonary Artery and Vein Separation Using Multimodal Feature Sampling MICCAI 2025 LKA: Large Kernel Adapter for Enhanced Medical Image Classification MICCAI 2025 Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport MICCAI 2025 A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem AAAI 2024 Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline NIPS 2024 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NIPS 2022 Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification ICLR 2022 FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022 Isometric Propagation Network for Generalized Zero-shot Learning ICLR 2021 Recognizing Vector Graphics without Rasterization NIPS 2021 A Universal Representation Transformer Layer for Few-Shot Image Classification ICLR 2021 Free Lunch for Few-shot Learning: Distribution Calibration ICLR 2021 Cross-Lingual Dependency Parsing by POS-Guided Word Reordering EMNLP 2020 Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020 Learning to Propagate for Graph Meta-Learning NIPS 2019 Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets AAAI 2019 Generating Responses with a Specific Emotion in Dialog ACL 2019 Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019 BLCU_NLP at SemEval-2018 Task 12: An Ensemble Model for Argument Reasoning Based on Hierarchical Attention SEMEVAL 2018