He Zhu
25 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (4)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(5)
🏆
Keyword Champion
(2)
👥
Mega-Team
(23)
🗃️
Keyword Collector
(118)
💎
Century Club
(24)
🔥
Unstoppable
(6)
⚡
Prolific Year
(12)
Conferences
ACL (7)
AAAI (4)
NIPS (4)
CVPR (2)
EMNLP (2)
NAACL (2)
COLING (1)
ECCV (1)
ICLR (1)
MLHC (1)
Top co-authors
Research topics
Keywords
structural entropy
(4)
large language model
(3)
goal-conditioned reinforcement learning
(3)
threshold estimation
(2)
benchmark evaluation
(2)
urban planning
(2)
instruction datum
(2)
domain adaptation
(2)
vision-language model
(2)
representation learning
(2)
instruction tuning
(2)
contrastive learning
(2)
risk management
(2)
graph neural network
(2)
tree structure
(2)
deep learning
(2)
multimodal learning
(2)
hierarchical text classification
(2)
agent framework
(2)
cryptocurrency exchange
(2)
Papers
InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning
ACL 2026
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
ACL 2025
FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping
AAAI 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
AAAI 2025
M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation
ACL 2025
PlanGPT: Enhancing Urban Planning with a Tailored Agent Framework
ACL 2025
ToolExpNet: Optimizing Multi-Tool Selection in LLMs with Similarity and Dependency-Aware Experience Networks
ACL 2025
Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation
ACL 2025
Multi-view Reconstruction via SfM-guided Monocular Depth Estimation
CVPR 2025
Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions
CVPR 2025
PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models
EMNLP 2025
OAgents: An Empirical Study of Building Effective Agents
EMNLP 2025
LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy
NAACL 2025
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
NAACL 2024
Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning
MLHC 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
NIPS 2024
SAM-guided Graph Cut for 3D Instance Segmentation
ECCV 2024
Learning World Models for Unconstrained Goal Navigation
NIPS 2024
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
ACL 2023
Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives
NIPS 2023
Programmatic Reinforcement Learning without Oracles
ICLR 2022
Hierarchical Information Matters: Text Classification via Tree Based Graph Neural Network
COLING 2022
Differentiable Synthesis of Program Architectures
NIPS 2021
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract)
AAAI 2020
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms
AAAI 2020