← Authors

Jinbo Bi

19 papers · 2003–2026 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (20) 🌍 Conference Polyglot (7) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam 🌱 Topic Pioneer ⚑ Prolific Year (5) πŸ’Ž Century Club (18) πŸ—ƒοΈ Keyword Collector (93) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

AAAI (6) ICML (3) NIPS (3) ICLR (2) IJCAI (2) JMLR (2) IJCNLP (1)

Top co-authors

Jiangwen Sun (4) Chunjiang Zhu (4) Guannan Liang (4) Shipeng Yu (3) Jin Lu (3) Minghu Song (3) Tan Zhu (3) Song Han (2) Qinqing Liu (2) Kam-Yiu Lam (2)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

dynamic graph (2) sparse optimization (2) across-task component (2) distributed algorithm (2) multitask feature learning (2) message passing (2) communication efficiency (2) joint regularization (2) sparse model (2) representation learning (2) shrinkage effect (2) stochastic gradient descent (2) graph sparsification (2) variable selection (1) link prediction (1) transformer architecture (1) sparse recovery (1) matrix decomposition (1) model compression (1) graph clustering (1)

Papers

VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing AAAI 2026
Polyhedron Attention Module: Learning Adaptive-order Interactions NIPS 2023
Auto-Encoding Goodness of Fit ICLR 2023
Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction IJCAI 2023
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs ICML 2021
Differentially Private and Communication Efficient Collaborative Learning AAAI 2021
An Efficient Algorithm for Deep Stochastic Contextual Bandits AAAI 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series ICLR 2021
Against Membership Inference Attack: Pruning is All You Need IJCAI 2021
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion AAAI 2019
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification ICML 2019
Communication-Optimal Distributed Dynamic Graph Clustering AAAI 2019
A Sparse Interactive Model for Matrix Completion with Side Information NIPS 2016
Multiplicative Multitask Feature Learning JMLR 2016
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ICML 2015
On Multiplicative Multitask Feature Learning NIPS 2014
Large Scale Diagnostic Code Classification for Medical Patient Records IJCNLP 2008
Dimensionality Reduction via Sparse Support Vector Machines JMLR 2003