Jinbo Bi
19 papers · 2003–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Academic Marathon (20)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π
Renaissance Researcher
(7)
π
Keyword Trendsetter Combo
(3)
π
Grand Slam
π±
Topic Pioneer
β‘
Prolific Year
(5)
π
Century Club
(18)
ποΈ
Keyword Collector
(93)
π
Trend Setter
π
Conference Pioneer
Conferences
AAAI (6)
ICML (3)
NIPS (3)
ICLR (2)
IJCAI (2)
JMLR (2)
IJCNLP (1)
Top co-authors
Research topics
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