Hao Ma
24 papers · 2016–2025 · 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
Jump to papers ↓+10 more ↓ Show less ↑
🗺️ Taxonomy Completionist (55) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👥
Mega-Team · Squad
🧬
Topic Evolution
🧭
Keyword Pioneer
🤝
Dynamic Duo
(13)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
🗃️
Keyword Collector
(118)
Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(15)
Deep Learning
(13)
Core AI
(12)
Natural Language Processing
(11)
Optimization & Theory
(8)
Applications
(7)
Learning Types · Deep Learning
(7)
Resources & Methods
(7)
Application Areas
(6)
Learning Types · Machine Learning
(6)
Architectures
(4)
Models
(4)
Reinforcement Learning
(3)
Core Methods
(3)
Keywords
large language model
(5)
transfer learning
(4)
language model
(3)
reinforcement learning
(2)
policy optimization
(2)
multi-agent reinforcement learning
(2)
multimodal learning
(2)
neural network
(2)
question answering
(2)
attention mechanism
(2)
text classification
(2)
domain generalization
(1)
zero-shot learning
(1)
model selection
(1)
few-shot learning
(1)
image classification
(1)
mathematical reasoning
(1)
multi-task learning
(1)
knowledge distillation
(1)
text mining
(1)
Papers
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
CoRL 2025
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
ACL 2025
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
EMNLP 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
ICML 2025
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
AAAI 2025
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024
Effective Long-Context Scaling of Foundation Models
NAACL 2024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
RSS 2024
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
L4DC 2023
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles
RSS 2022
IDPG: An Instance-Dependent Prompt Generation Method
NAACL 2022
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation
EMNLP 2022
RID-Noise: Towards Robust Inverse Design under Noisy Environments
AAAI 2022
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction
EMNLP 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
ACL 2022
Luna: Linear Unified Nested Attention
NeurIPS 2021
On the Influence of Masking Policies in Intermediate Pre-training
EMNLP 2021
On Unifying Misinformation Detection
NAACL 2021
Blockwise Self-Attention for Long Document Understanding
EMNLP 2020
Language Models as Fact Checkers?
ACL 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
ACL 2020
Exploring Deep Multimodal Fusion of Text and Photo for Hate Speech Classification
ACL 2019
A Web-scale system for scientific knowledge exploration
ACL 2018
Question Answering with Knowledge Base, Web and Beyond
NAACL 2016