Wei Pan
25 papers · 2007–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (10)
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Conference Polyglot
(10)
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Academic Marathon
(18)
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Cross-Pollinator
(4)
π§¬
Topic Evolution
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Triple Crown
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Keyword Champion
(2)
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Century Club
(25)
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Trend Setter
ποΈ
Keyword Collector
(98)
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Prolific Year
(9)
Conferences
JMLR (8)
ICML (5)
CORL (3)
ICLR (2)
NIPS (2)
CLEAR (1)
COLING (1)
ECCV (1)
ICCV (1)
RSS (1)
Top co-authors
Keywords
penalized regression
(3)
large margin
(2)
generative model
(2)
cooperative game
(2)
causal inference
(2)
cluster analysis
(2)
grouping pursuit
(2)
instrumental variable
(2)
peeling algorithm
(2)
multi-agent system
(2)
generalized linear model
(2)
game theory
(1)
multi-task learning
(1)
bayesian learning
(1)
variational inference
(1)
semi-supervised learning
(1)
statistical inference
(1)
causal discovery
(1)
variable selection
(1)
representation learning
(1)
Papers
AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit
CORL 2025
Generative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-top Manipulation
CORL 2025
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation
ICML 2025
Inference of nonlinear causal effects with application to TWAS with GWAS summary data
CLEAR 2024
Open Ad Hoc Teamwork with Cooperative Game Theory
ICML 2024
SemReg: Semantics Constrained Point Cloud Registration
ECCV 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
NIPS 2024
Causal Discovery with Generalized Linear Models through Peeling Algorithms
JMLR 2024
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
ICLR 2024
Multi-Granularity Fusion Text Semantic Matching Based on WoBERT
COLING 2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
ICML 2024
Computation-Aware Learning for Stable Control with Gaussian Process
RSS 2024
Cooperative Open-ended Learning Framework for Zero-Shot Coordination
ICML 2023
Few Shot Font Generation Via Transferring Similarity Guided Global Style and Quantization Local Style
ICCV 2023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions
JMLR 2023
A Regularization-Based Adaptive Test for High-Dimensional GLMs
JMLR 2020
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
CORL 2020
BayesNAS: A Bayesian Approach for Neural Architecture Search
ICML 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
ICLR 2019
Towards Accurate Binary Convolutional Neural Network
NIPS 2017
A New Algorithm and Theory for Penalized Regression-based Clustering
JMLR 2016
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty
JMLR 2013
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership
JMLR 2011
On Efficient Large Margin Semisupervised Learning: Method and Theory
JMLR 2009
Penalized Model-Based Clustering with Application to Variable Selection
JMLR 2007