Hong Qian
16 papers · 2016–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(10)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(82)
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(10)
Mathematics & Optimization
(6)
Optimization
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Core AI
(4)
Core Methods
(4)
Learning Types
(4)
Bayesian & Probabilistic
(3)
Application Areas
(2)
Learning Paradigms
(2)
Models
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Keywords
black-box optimization
(4)
bayesian optimization
(3)
large language model
(3)
cognitive diagnosis
(2)
surrogate model
(2)
few-shot learning
(2)
diffusion model
(2)
prompt tuning
(2)
dueling optimization
(2)
causal discovery
(1)
granger causality
(1)
constrained optimization
(1)
structural learning
(1)
gradient descent
(1)
graph theory
(1)
code generation
(1)
information entropy
(1)
sample complexity
(1)
variational inference
(1)
gaussian kernel
(1)
Papers
AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
ACL 2026
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
IJCAI 2025
Constrained Offline Black-Box Optimization via Risk Evaluation and Management
AAAI 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
AAAI 2025
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
ICLR 2025
Preference Diffusion for Recommendation
ICLR 2025
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation
IJCAI 2025
SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
ICLR 2025
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
ICML 2025
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences
NeurIPS 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
AAAI 2024
High-Dimensional Dueling Optimization with Preference Embedding
AAAI 2023
BBTv2: Towards a Gradient-Free Future with Large Language Models
EMNLP 2022
Black-Box Tuning for Language-Model-as-a-Service
ICML 2022
The Teaching Dimension of Regularized Kernel Learners
ICML 2022
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings
IJCAI 2016