Cheng Yang
85 papers · 2011–2026 · 17 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (17)
π
Conference Polyglot
(17)
π
Academic Marathon
(14)
π
Cross-Pollinator
(12)
π
Keyword Champion
(2)
π¬
Deep Specialist
(16)
π§¬
Topic Evolution
π€
Dynamic Duo
(20)
β
The Questioner
(3)
β‘
Prolific Year
(10)
π
Conference Pioneer
ποΈ
Keyword Collector
(353)
π₯
Unstoppable
(9)
π
Century Club
(80)
π
Trend Setter
Conferences
ACL (17)
AAAI (15)
EMNLP (13)
IJCAI (8)
NIPS (7)
ICLR (5)
NAACL (3)
ICCV (3)
CVPR (3)
ECCV (2)
IJCNLP (2)
WACV (2)
EACL (1)
JMLR (1)
MICCAI (1)
COLING (1)
ACML (1)
Top co-authors
Research topics
Keywords
large language model
(23)
multi-agent system
(11)
graph neural network
(9)
representation learning
(4)
poetry generation
(4)
autonomous agent
(4)
text generation
(3)
semantic analysis
(3)
unsupervised learning
(3)
attention mechanism
(3)
metaphor detection
(3)
mixture of expert
(3)
software development
(3)
question answering
(2)
relation extraction
(2)
semantic segmentation
(2)
natural language inference
(2)
reinforcement learning
(2)
self-supervised learning
(2)
transfer learning
(2)
Papers
ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web
ACL 2026
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
AAAI 2026
LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules
AAAI 2026
MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
ACL 2026
Spatial-Agent: Agentic Geo-spatial Reasoning with Scientific Core Concepts
ACL 2026
Multi-Agent Collaboration via Cross-Team Orchestration
ACL 2025
DAGS: A Dependency-Based Dual-Attention and Global Semantic Improvement Framework for Metaphor Recognition
ACL 2025
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System
ACL 2025
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
EMNLP 2025
Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
COLING 2025
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
CVPR 2025
LLM2: Let Large Language Models Harness System 2 Reasoning
NAACL 2025
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
NAACL 2025
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
ICLR 2025
Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis
ICCV 2025
Federated Graph Condensation with Information Bottleneck Principles
AAAI 2025
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
AAAI 2025
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
AAAI 2025
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
AAAI 2025
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
AAAI 2025
Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification
MICCAI 2025
Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning
IJCAI 2025
Scaling Large Language Model-based Multi-Agent Collaboration
ICLR 2025
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
ICLR 2025
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents
ACL 2025
Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
ACL 2025
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition
EMNLP 2024
Autonomous Agents for Collaborative Task under Information Asymmetry
NIPS 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
NIPS 2024
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
NIPS 2024
Unchosen Experts Can Contribute Too: Unleashing MoE Modelsβ Power by Self-Contrast
NIPS 2024
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
NIPS 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
AAAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Can ChatGPTβs Performance be Improved on Verb Metaphor Detection Tasks? Bootstrapping and Combining Tacit Knowledge
ACL 2024
Experiential Co-Learning of Software-Developing Agents
ACL 2024
ChatDev: Communicative Agents for Software Development
ACL 2024
CountFormer: Multi-View Crowd Counting Transformer
ECCV 2024
BC-Prover: Backward Chaining Prover for Formal Theorem Proving
EMNLP 2024
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
EMNLP 2024
Merely Judging Metaphor is Not Enough: Research on Reasonable Metaphor Detection
EMNLP 2024
HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing
EMNLP 2024
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
EMNLP 2024
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
ICLR 2024
Heterogeneous Graph Transformer with Poly-Tokenization
IJCAI 2024
Solving General Natural-Language-Description Optimization Problems with Large Language Models
NAACL 2024
Improving Vision-and-Language Reasoning via Spatial Relations Modeling
WACV 2024
Specialist or Generalist? Instruction Tuning for Specific NLP Tasks
EMNLP 2023
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
AAAI 2023
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
NIPS 2023
NewsDialogues: Towards Proactive News Grounded Conversation
ACL 2023
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models
ACL 2023
A Simple Framework for Text-Supervised Semantic Segmentation
CVPR 2023
Enhancing Dialogue Generation with Conversational Concept Flows
EACL 2023
Question Answering as Programming for Solving Time-Sensitive Questions
EMNLP 2023
"PartImageNet: A Large, High-Quality Dataset of Parts"
ECCV 2022
SAS: Self-Augmentation Strategy for Language Model Pre-training
AAAI 2022
Learning To Reconstruct 3D Non-Cuboid Room Layout From a Single RGB Image
WACV 2022
TransFG: A Transformer Architecture for Fine-Grained Recognition
AAAI 2022
IIGROUP Submissions for WMT22 Word-Level AutoCompletion Task
EMNLP 2022
Dynamic Popularity-Aware Contrastive Learning for Recommendation
ACML 2021
Nonseparable Symplectic Neural Networks
ICLR 2021
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
ACL 2021
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
IJCNLP 2021
Treasures Outside Contexts: Improving Event Detection via Global Statistics
EMNLP 2021
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
CVPR 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
NIPS 2021
Hand Image Understanding via Deep Multi-Task Learning
ICCV 2021
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
IJCAI 2020
Graph Neural News Recommendation with Unsupervised Preference Disentanglement
ACL 2020
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
AAAI 2020
Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System
ACL 2019
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
EMNLP 2019
A Practical Semi-Parametric Contextual Bandit
IJCAI 2019
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks
IJCAI 2019
Sentiment-Controllable Chinese Poetry Generation
IJCAI 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms
AAAI 2019
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise
ICCV 2019
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
IJCNLP 2019
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
ACL 2019
Robust Online Matching with User Arrival Distribution Drift
AAAI 2019
Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement
EMNLP 2018
Fast Network Embedding Enhancement via High Order Proximity Approximation
IJCAI 2017
Network Representation Learning with Rich Text Information
IJCAI 2015
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin
JMLR 2011