← Authors

Jiaxiang Wu

29 papers · 2014–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (9) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (70) 🌍 Conference Polyglot (10) 🀝 Dynamic Duo (10) πŸ† Grand Slam 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (123) πŸ’Ž Century Club (29) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ”₯ Unstoppable (8)

Conferences

AAAI (7) ICML (6) CVPR (5) ICLR (4) NIPS (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

Privacy (1)

Keywords

model compression (5) knowledge distillation (4) distributed optimization (3) face recognition (3) few-shot learning (2) convolutional neural network (2) neural architecture search (2) communication efficiency (2) gradient quantization (2) graph neural network (2) approximate nearest neighbor (2) 3d reconstruction (1) adversarial robustness (1) online learning (1) semi-supervised learning (1) image classification (1) dimensionality reduction (1) zero-shot learning (1) ensemble learning (1) catastrophic forgetting (1)

Papers

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