Hao Liang
17 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (10)
π§
Keyword Pioneer
π
Cross-Pollinator
(9)
π
Academic Marathon
(5)
π
Grand Slam
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
π
Century Club
(14)
ποΈ
Keyword Collector
(91)
π
Trend Setter
Conferences
AAAI (5)
ACL (4)
AISTATS (1)
ICCV (1)
ICLR (1)
ICML (1)
IJCAI (1)
JMLR (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
regret bound
(3)
risk-sensitive reinforcement learning
(2)
algorithmic bia
(2)
large language model
(2)
representation learning
(1)
stochastic gradient descent
(1)
federated learning
(1)
model security
(1)
active learning
(1)
domain adaptation
(1)
feature extraction
(1)
embedding space
(1)
natural language processing
(1)
face analysis
(1)
claim verification
(1)
semi-supervised learning
(1)
self-supervised learning
(1)
question answering
(1)
information retrieval
(1)
mathematical reasoning
(1)
Papers
MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging
AAAI 2026
MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation
AAAI 2026
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
AAAI 2026
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
ACL 2025
MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification
ACL 2025
Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models
AAAI 2025
QAEncoder: Towards Aligned Representation Learning in Question Answering Systems
ACL 2025
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
ICLR 2025
Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs
WACV 2024
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds
JMLR 2024
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures
AISTATS 2024
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
ICCV 2023
A Distribution Optimization Framework for Confidence Bounds of Risk Measures
ICML 2023
RareGAN: Generating Samples for Rare Classes
AAAI 2022
Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting
IJCAI 2021
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
NIPS 2020
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
ACL 2020