Peng Liu
38 papers · 2016–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (9)
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Interdisciplinary Bridge
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Keyword Pioneer
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Cross-Pollinator
(10)
🏆
Grand Slam
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Triple Crown
🧬
Topic Evolution
🔥
Unstoppable
(7)
💎
Century Club
(37)
⚡
Prolific Year
(11)
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Conference Pioneer
🗃️
Keyword Collector
(197)
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The Questioner
Conferences
AAAI (11)
CVPR (3)
ICLR (3)
ICML (3)
IJCAI (3)
ACL (2)
EMNLP (2)
ICCV (2)
INTERSPEECH (2)
MICCAI (2)
NIPS (2)
AISTATS (1)
NAACL (1)
SEMEVAL (1)
Top co-authors
Keywords
reinforcement learning
(5)
zero-shot learning
(3)
contrastive learning
(2)
generalization bound
(2)
facial expression
(2)
feature extraction
(2)
knowledge distillation
(2)
attention mechanism
(2)
reward function
(2)
benchmark evaluation
(2)
convolutional neural network
(2)
language model
(2)
large language model
(2)
chain-of-thought reasoning
(2)
upper confidence bound
(2)
deep reinforcement learning
(2)
locomotion control
(1)
sequential decision-making
(1)
stochastic gradient descent
(1)
image generation
(1)
Papers
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning
AAAI 2026
LCAN: A Label-Aware Contrastive Attention Network for Multi-Intent Recognition and Slot Filling in Task-Oriented Dialogue Systems
EMNLP 2025
Radiology Report Generation via Multi-objective Preference Optimization
AAAI 2025
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
AAAI 2025
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach
AAAI 2025
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
AAAI 2025
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
AAAI 2025
Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research
ACL 2025
FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness
ACL 2025
Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Need
ICCV 2025
RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction
ICLR 2025
T2GS: Comprehensive Reconstruction of Dynamic Surgical Scenes with Gaussian Splatting
MICCAI 2025
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
ICLR 2024
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration
AAAI 2024
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
AAAI 2024
Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB
AAAI 2024
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
ICML 2024
AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement
CVPR 2024
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian
EMNLP 2024
Zero-shot High-fidelity and Pose-controllable Character Animation
IJCAI 2024
Robust Visual Imitation Learning with Inverse Dynamics Representations
AAAI 2024
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
NIPS 2024
Overlay Mantle-Free for Semi-Supervised Medical Image Segmentation
MICCAI 2024
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants
IJCAI 2023
Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery
IJCAI 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
ICML 2023
An End-to-End Macaque Voiceprint Verification Method Based on Channel Fusion Mechanism
INTERSPEECH 2022
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation
NAACL 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
ICLR 2022
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
AAAI 2022
Dynamic Bottleneck for Robust Self-Supervised Exploration
NIPS 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction
ICML 2021
Correlation-Guided Attention for Corner Detection Based Visual Tracking
CVPR 2020
DurIAN: Duration Informed Attention Network for Speech Synthesis
INTERSPEECH 2020
YNU-HPCC at SemEval-2019 Task 8: Using A LSTM-Attention Model for Fact-Checking in Community Forums
SEMEVAL 2019
Multitask Metric Learning: Theory and Algorithm
AISTATS 2019
A Deep Step Pattern Representation for Multimodal Retinal Image Registration
ICCV 2019
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis
CVPR 2016