Kun Zhu
14 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11) π Renaissance Researcher (9)
πΊοΈ
Taxonomy Completionist
(41)
π
Conference Polyglot
(6)
π
Century Club
(12)
ποΈ
Keyword Collector
(66)
β‘
Prolific Year
(5)
Conferences
ACL (5)
AAAI (3)
EMNLP (2)
NIPS (2)
ICLR (1)
MICCAI (1)
Top co-authors
Keywords
large language model
(5)
contrastive learning
(2)
mutual information
(2)
representation learning
(2)
retrieval-augmented generation
(2)
text classification
(1)
document summarization
(1)
image generation
(1)
chain-of-thought reasoning
(1)
time series
(1)
direct preference optimization
(1)
text generation
(1)
language modeling
(1)
text summarization
(1)
deep learning
(1)
causal discovery
(1)
instruction following
(1)
granger causality
(1)
hierarchical clustering
(1)
information bottleneck
(1)
Papers
Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning
AAAI 2026
Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression
ACL 2026
InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating
ACL 2025
Learning Joint Behaviors with Large Variations
AAAI 2025
Length Controlled Generation for Black-box LLMs
ACL 2025
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
EMNLP 2025
Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization
ICLR 2025
From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation
MICCAI 2025
Discrete Modeling via Boundary Conditional Diffusion Processes
NIPS 2024
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
ACL 2024
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
ACL 2024
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series
AAAI 2024
Learning Distinguishable Trajectory Representation with Contrastive Loss
NIPS 2024
Hierarchical Catalogue Generation for Literature Review: A Benchmark
EMNLP 2023