Zhe Yang
23 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (11) π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (12)
π
Conference Polyglot
(11)
πΊοΈ
Taxonomy Completionist
(64)
π§
Keyword Pioneer
π§¬
Topic Evolution
π₯
Mega-Team
(20)
ποΈ
Keyword Collector
(109)
β‘
Prolific Year
(10)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(22)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
EMNLP (6)
AAAI (3)
ACL (3)
AISTATS (2)
ICLR (2)
NAACL (2)
COLING (1)
CVPR (1)
ICCV (1)
INTERSPEECH (1)
NSDI (1)
Top co-authors
Keywords
large language model
(7)
graph neural network
(4)
in-context learning
(4)
few-shot learning
(3)
language model
(3)
representation learning
(2)
controlled text generation
(2)
directed hypergraph
(2)
relation extraction
(2)
contrastive learning
(2)
hypergraph convolution
(2)
attention mechanism
(1)
link prediction
(1)
weakly supervised learning
(1)
probabilistic inference
(1)
text classification
(1)
semantic segmentation
(1)
feature extraction
(1)
semantic parsing
(1)
probabilistic modeling
(1)
Papers
CΒ³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
AAAI 2026
Exploring Activation Patterns of Parameters in Language Models
AAAI 2025
Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images
AAAI 2025
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs
ACL 2025
Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation
COLING 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction
EMNLP 2025
MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing
EMNLP 2025
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
ICLR 2025
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models
ICLR 2025
Palette of Language Models: A Solver for Controlled Text Generation
NAACL 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine
NAACL 2025
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
EMNLP 2024
LLM as a metric critic for low resource relation identification
EMNLP 2024
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding
ACL 2024
Directed Hypergraph Representation Learning for Link Prediction
AISTATS 2024
DHMConv: Directed Hypergraph Momentum Convolution Framework
AISTATS 2024
LiFteR: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing
NSDI 2024
Learning to Leverage High-Order Medical Knowledge Graph for Joint Entity and Relation Extraction
ACL 2023
TFECN: Time-Frequency Enhanced ConvNet for Audio Classification
INTERSPEECH 2023
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning
EMNLP 2023
Low-resource Neural Machine Translation with Cross-modal Alignment
EMNLP 2022
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
ICCV 2019
Depth Acquisition from Density Modulated Binary Patterns
CVPR 2013