Yuhan Liu
43 papers · 2018–2026 · 17 conferences · across top CS/AI conferences
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Conferences
EMNLP (10)
ACL (7)
CVPR (5)
CORL (4)
NIPS (3)
ICML (2)
AAAI (2)
COLT (1)
COLING (1)
ALT (1)
ICCV (1)
AISTATS (1)
IJCAI (1)
NAACL (1)
NSDI (1)
OSDI (1)
SEMEVAL (1)
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Research topics
Keywords
large language model
(8)
multi-agent system
(4)
differential privacy
(4)
discrete distribution
(4)
user-level privacy
(3)
local differential privacy
(3)
diffusion model
(3)
dialogue system
(2)
fake news detection
(2)
misinformation detection
(2)
language model
(2)
social network
(2)
reinforcement learning
(2)
agent-based simulation
(2)
multi-agent simulation
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social network analysis
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deep learning
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sample complexity
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in-context learning
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federated learning
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Papers
Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection
AAAI 2026
EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestration
ACL 2026
Forest Before Trees: Latent Superposition for Efficient Visual Reasoning
ACL 2026
Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching
ICCV 2025
Motion Blender Gaussian Splatting for Dynamic Reconstruction
CORL 2025
Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains
ACL 2025
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
ACL 2025
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement
ACL 2025
Event-Equalized Dense Video Captioning
CVPR 2025
Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability
CVPR 2025
The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
CVPR 2025
User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal
EMNLP 2025
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
EMNLP 2025
Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems
EMNLP 2025
The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
EMNLP 2025
Quest2DataAgent: Automating End-to-End Scientific Data Collection
EMNLP 2025
ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation
EMNLP 2025
DeMAC: Enhancing Multi-Agent Coordination with Dynamic DAG and Manager-Player Feedback
EMNLP 2025
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
EMNLP 2025
A3VLM: Actionable Articulation-Aware Vision Language Model
CORL 2024
Video Frame Interpolation via Direct Synthesis with the Event-based Reference
CVPR 2024
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
ACL 2024
The role of randomness in quantum state certification with unentangled measurements
COLT 2024
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
EMNLP 2024
From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
IJCAI 2024
P3Sum: Preserving Authorβs Perspective in News Summarization with Diffusion Language Models
NAACL 2024
GRACE: Loss-Resilient Real-Time Video through Neural Codecs
NSDI 2024
ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications
OSDI 2024
Scaling Manipulation Learning with Visual Kinematic Chain Prediction
CORL 2024
Detect Everything with Few Examples
CORL 2024
IAD: In-Context Learning Ability Decoupler of Large Language Models in Meta-Training
COLING 2024
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
AAAI 2023
Algorithms for bounding contribution for histogram estimation under user-level privacy
ICML 2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
ACL 2023
Discrete Distribution Estimation under User-level Local Differential Privacy
AISTATS 2023
TwiBot-22: Towards Graph-Based Twitter Bot Detection
NIPS 2022
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
CVPR 2021
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
NIPS 2021
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis
ICML 2021
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints
ALT 2021
Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations
EMNLP 2021
Learning discrete distributions: user vs item-level privacy
NIPS 2020
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets
SEMEVAL 2018