Li Yang

39 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7) 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (8) 🗺️ Taxonomy Completionist (78)

🗺️ Taxonomy Completionist (78) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏆 Grand Slam 🧬 Topic Evolution 🤝 Dynamic Duo (13) 🏆 Keyword Champion (2) 🗃️ Keyword Collector (164) 🔥 Unstoppable (8) ⚡ Prolific Year (9) 🚀 Conference Pioneer 💎 Century Club (37)

Conferences

AAAI (7) CVPR (6) NIPS (6) EMNLP (4) ICLR (4) ACL (3) WACV (3) AACL (1) COLING (1) ICML (1) IJCNLP (1) MICCAI (1) NAACL (1)

Top co-authors

Deliang Fan (13) Qifan Wang (8) Zenglin Xu (6) Dongfang Liu (5) Fuli Feng (5) Jian Meng (4) Weiming Hu (4) Bing Li (4) Jae-sun Seo (4) Wei Liu (4)

Research topics

Privacy (1) Core AI (1)

Keywords

model compression (7) self-supervised learning (5) representation learning (5) catastrophic forgetting (3) continual learning (3) knowledge distillation (3) multimodal learning (3) large language model (3) lightweight model (2) image classification (2) memory efficiency (2) attribute extraction (2) transformer architecture (2) modality gap (2) recommender system (2) question answering (2) object detection (2) reinforcement learning (2) feature learning (2) contrastive learning (2)

Papers

From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models ACL 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026 BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection AAAI 2025 Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning IJCNLP 2025 Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision AAAI 2025 CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion AAAI 2025 Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning AACL 2025 StoryLLaVA: Enhancing Visual Storytelling with Multi-Modal Large Language Models COLING 2025 MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table WACV 2025 Mind the Map! Accounting for Existing Maps When Estimating Online HDMaps from Sensors WACV 2025 Closest Neighbors are Harmful for Lightweight Masked Auto-encoders CVPR 2025 Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing ICLR 2025 DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks ICLR 2025 Towards Practical Defect-Focused Automated Code Review ICML 2025 EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning AAAI 2024 Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution MICCAI 2024 LP-3DGS: Learning to Prune 3D Gaussian Splatting NIPS 2024 GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors ICLR 2024 EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024 Exploiting Contextual Objects and Relations for 3D Visual Grounding NIPS 2023 Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training NIPS 2023 MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023 Rep-Net: Efficient On-Device Learning via Feature Reprogramming CVPR 2022 Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer NIPS 2022 Get More at Once: Alternating Sparse Training with Gradient Correction NIPS 2022 Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification AAAI 2022 Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning CVPR 2022 Improving Visual Grounding With Visual-Linguistic Verification and Iterative Reasoning CVPR 2022 Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation EMNLP 2022 SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022 TRGP: Trust Region Gradient Projection for Continual Learning ICLR 2022 LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution CVPR 2021 KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning CVPR 2021 Big Bird: Transformers for Longer Sequences NIPS 2020 ETC: Encoding Long and Structured Inputs in Transformers EMNLP 2020 Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020 Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer ACL 2020 Naive Bayes and BiLSTM Ensemble for Discriminating between Mainland and Taiwan Variation of Mandarin Chinese NAACL 2019