Ziniu Hu
30 papers · 2019–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
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Cross-Pollinator
(14)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(66)
π§¬
Topic Evolution
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Keyword Champion
(2)
π
Grand Slam
π€
Dynamic Duo
(15)
π
Century Club
(30)
ποΈ
Keyword Collector
(117)
π₯
Unstoppable
(7)
β
The Questioner
β‘
Prolific Year
(8)
Conferences
NIPS (11)
ICLR (4)
ICML (4)
EMNLP (3)
ACL (2)
CVPR (2)
IJCAI (2)
AAAI (1)
COLING (1)
Top co-authors
Keywords
large language model
(5)
language model
(3)
tree search
(3)
graph neural network
(3)
representation learning
(3)
transfer learning
(3)
visual question answering
(2)
few-shot learning
(2)
mathematical reasoning
(2)
zero-shot learning
(2)
process reward
(2)
knowledge retrieval
(2)
question answering
(2)
in-context learning
(2)
instruction tuning
(2)
open-domain question answering
(2)
knowledge distillation
(1)
graph representation learning
(1)
domain generalization
(1)
knowledge transfer
(1)
Papers
SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search
ICLR 2025
Self-Evolving Visual Concept Library using Vision-Language Critics
CVPR 2025
Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference
ICLR 2025
Automated Molecular Concept Generation and Labeling with Large Language Models
COLING 2025
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
ICML 2025
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
ACL 2025
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code
ICML 2024
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
ICML 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
NIPS 2024
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
NIPS 2024
Can Large Language Model Agents Simulate Human Trust Behavior?
NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
NIPS 2024
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
NIPS 2024
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
ICML 2024
Learning to Group Auxiliary Datasets for Molecule
NIPS 2023
REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory
CVPR 2023
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs
NIPS 2023
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent
NIPS 2023
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
AAAI 2022
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
EMNLP 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation
NIPS 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
NIPS 2022
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
EMNLP 2021
Relation-Guided Pre-Training for Open-Domain Question Answering
EMNLP 2021
Heterogeneous Network Representation Learning
IJCAI 2020
Improving Neural Language Generation with Spectrum Control
ICLR 2020
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)
IJCAI 2020
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
NIPS 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
ACL 2019