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Jiaxiang Wu

29 papers · 2014–2025 · 10 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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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (73) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🌱 Topic Pioneer 🧭 Keyword Pioneer 🀝 Dynamic Duo (10) πŸ† Grand Slam 🌈 Renaissance Researcher (9) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (146) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze

Venues

AAAI (7) ICML (6) CVPR (5) ICLR (4) NeurIPS (2) AISTATS (1) ECCV (1) EMNLP (1) ICCV (1) JMLR (1)

Top co-authors

Junzhou Huang (10) Jian Cheng (7) Peilin Zhao (7) Shouhong Ding (4) Cong Leng (4) Haoli Bai (3) Yatao Bian (3) Yifan Zhang (3) Xingkun Xu (3) Yuge Huang (3)

Research topics

Machine Learning (25) Deep Learning (16) Application Areas (13) Learning Types Β· Machine Learning (10) Learning Types Β· Deep Learning (9) Artificial Intelligence (8) Optimization & Theory Β· Machine Learning (8) Core Methods (6) Computer Vision (5) Core AI (5) Optimization & Theory Β· Deep Learning (4) Computer Science (3) Mathematics & Optimization (3) Analysis (3) Architectures (3)

Keywords

model compression (5) knowledge distillation (4) distributed optimization (3) face recognition (3) convolutional neural network (2) graph neural network (2) gradient quantization (2) neural architecture search (2) communication efficiency (2) distribution shift (2) multimodal learning (2) energy-based model (2) online learning (2) few-shot learning (2) entropy minimization (2) test-time adaptation (2) approximate nearest neighbor (2) adversarial robustness (1) image classification (1) semi-supervised learning (1)

Papers

IgGM: A Generative Model for Functional Antibody and Nanobody Design ICLR 2025 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model ICLR 2024 MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation ICML 2024 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023 Privacy-Preserving Face Recognition Using Random Frequency Components ICCV 2023 Probabilistic Knowledge Distillation of Face Ensembles CVPR 2023 PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection EMNLP 2023 Towards Stable Test-time Adaptation in Dynamic Wild World ICLR 2023 Efficient Test-Time Model Adaptation without Forgetting ICML 2022 Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning ICLR 2022 Evaluation-Oriented Knowledge Distillation for Deep Face Recognition CVPR 2022 GNN-Retro: Retrosynthetic Planning with Graph Neural Networks AAAI 2022 Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain ECCV 2022 Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures AAAI 2022 AdaXpert: Adapting Neural Architecture for Growing Data ICML 2021 PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning AAAI 2021 Few Shot Network Compression via Cross Distillation AAAI 2020 M-NAS: Meta Neural Architecture Search AAAI 2020 Revisiting Parameter Sharing for Automatic Neural Channel Number Search NeurIPS 2020 An Efficient Approach to Informative Feature Extraction from Multimodal Data AAAI 2019 Collaborative Channel Pruning for Deep Networks ICML 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019 Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization ICML 2018 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Hashing for Distributed Data ICML 2015 Online Sketching Hashing CVPR 2015 Bayesian Co-Boosting for Multi-modal Gesture Recognition JMLR 2014 Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction CVPR 2014