Haochen Liu
15 papers · 2017–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Core AI
(9)
Natural Language Processing
(7)
Application Areas
(5)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Deep Learning
(3)
Knowledge & Reasoning
(3)
Applications
(3)
Generation
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Optimization & Theory
(2)
Representation
(2)
Keywords
autonomous driving
(3)
knowledge graph
(3)
large language model
(3)
bias mitigation
(2)
gender bia
(2)
few-shot learning
(2)
motion planning
(2)
algorithmic fairness
(1)
direct preference optimization
(1)
link prediction
(1)
knowledge extraction
(1)
knowledge editing
(1)
natural language inference
(1)
data augmentation
(1)
em algorithm
(1)
semi-supervised learning
(1)
knowledge representation
(1)
dialogue generation
(1)
multimodal learning
(1)
sentiment analysis
(1)
Papers
LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models
ACL 2026
SimScale: Learning to Drive via Real-World Simulation at Scale
CVPR 2026
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
ACL 2025
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
NAACL 2024
Knowledge Graph-Enhanced Large Language Models via Path Selection
ACL 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
NeurIPS 2024
Self-training Strategies for Sentiment Analysis: An Empirical Study
EACL 2024
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
ICCV 2023
Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference
COLING 2022
Toward Annotator Group Bias in Crowdsourcing
ACL 2022
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
ACL 2021
Does Gender Matter? Towards Fairness in Dialogue Systems
COLING 2020
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
EMNLP 2020
Personalized Multimodal Feedback Generation in Education
COLING 2020
Effective Representing of Information Network by Variational Autoencoder
IJCAI 2017