Chao Gao
46 papers · 2016–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (25) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(25)
π
Cross-Pollinator
(5)
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
π
Keyword Champion
(2)
π
Grand Slam
β
The Questioner
ποΈ
Keyword Collector
(57)
β‘
Prolific Year
(10)
π₯
Unstoppable
(11)
π
Century Club
(43)
Conferences
IJCAI (12)
AAAI (8)
JMLR (7)
ICML (4)
EMNLP (3)
ACL (2)
NIPS (2)
WACV (2)
AISTATS (1)
COLING (1)
COLT (1)
CVPR (1)
ICCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
graph neural network
(8)
attention mechanism
(3)
source localization
(3)
source detection
(3)
stochastic block model
(3)
social network
(3)
contrastive learning
(3)
neural network
(2)
stochastic optimization
(2)
large language model
(2)
monte carlo tree search
(2)
fake news detection
(2)
community detection
(2)
knowledge distillation
(2)
em algorithm
(2)
self-supervised learning
(2)
graph generation
(2)
convolutional neural network
(2)
probabilistic modeling
(1)
robust optimization
(1)
Papers
STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue Systems
ACL 2026
Grounding Degradations in Natural Language for All-In-One Video Restoration
WACV 2026
ScoreNet: Netting Lightweight Quality Scores for Better Visual Assessment with Large Multi-Modality Models
WACV 2026
FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI
AAAI 2026
Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction
AAAI 2026
Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model
IJCAI 2025
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
ACL 2025
HyperIDP: Customizing Temporal Hypergraph Neural Networks for Multi-Scale Information Diffusion Prediction
COLING 2025
Computing High-dimensional Confidence Sets for Arbitrary Distributions
COLT 2025
Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning
EMNLP 2025
Volume Optimality in Conformal Prediction with Structured Prediction Sets
ICML 2025
SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
ICML 2025
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
IJCAI 2025
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
IJCAI 2025
A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization
IJCAI 2025
Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process
IJCAI 2025
Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation
IJCAI 2025
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes
IJCAI 2025
A Prior-based Discrete Diffusion Model for Social Graph Generation
IJCAI 2025
Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference
AAAI 2025
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
AAAI 2024
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
NIPS 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
NIPS 2024
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
AAAI 2024
Monte Carlo Tree Search in the Presence of Transition Uncertainty
AAAI 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization
AISTATS 2024
Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics
IJCAI 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
AAAI 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
EMNLP 2024
Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming
EMNLP 2024
Sequential Attention Source Identification Based on Feature Representation
IJCAI 2023
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting
ICCV 2023
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
AAAI 2022
Mixing Time of Metropolis-Hastings for Bayesian Community Detection
JMLR 2021
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
ICML 2021
Bayesian Model Selection with Graph Structured Sparsity
JMLR 2020
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective
JMLR 2020
Stochastic Canonical Correlation Analysis
JMLR 2019
BASNet: Boundary-Aware Salient Object Detection
CVPR 2019
ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS
ICLR 2019
Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials
JMLR 2018
Three-Head Neural Network Architecture for Monte Carlo Tree Search
IJCAI 2018
Achieving Optimal Misclassification Proportion in Stochastic Block Models
JMLR 2017
Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex
IJCAI 2017
Exact Exponent in Optimal Rates for Crowdsourcing
ICML 2016
Optimal Estimation and Completion of Matrices with Biclustering Structures
JMLR 2016