Hong Qian
16 papers · 2016–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9)
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Renaissance Researcher
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Conference Polyglot
(6)
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Academic Marathon
(9)
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(56)
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(15)
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Prolific Year
(8)
Conferences
AAAI (4)
ICLR (3)
ICML (3)
IJCAI (3)
ACL (1)
EMNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
black-box optimization
(4)
bayesian optimization
(3)
prompt tuning
(2)
few-shot learning
(2)
cognitive diagnosis
(2)
surrogate model
(2)
dueling optimization
(2)
large language model
(2)
sample complexity
(1)
fault detection
(1)
in-context learning
(1)
gaussian kernel
(1)
information entropy
(1)
gradient descent
(1)
structural learning
(1)
causal discovery
(1)
multi-objective optimization
(1)
derivative-free optimization
(1)
machine teaching
(1)
granger causality
(1)
Papers
AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
ACL 2026
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
ICLR 2025
Constrained Offline Black-Box Optimization via Risk Evaluation and Management
AAAI 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
AAAI 2025
SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
ICLR 2025
Preference Diffusion for Recommendation
ICLR 2025
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
ICML 2025
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
IJCAI 2025
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation
IJCAI 2025
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
AAAI 2024
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences
NIPS 2024
High-Dimensional Dueling Optimization with Preference Embedding
AAAI 2023
BBTv2: Towards a Gradient-Free Future with Large Language Models
EMNLP 2022
The Teaching Dimension of Regularized Kernel Learners
ICML 2022
Black-Box Tuning for Language-Model-as-a-Service
ICML 2022
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings
IJCAI 2016