Shuang Liang
23 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Academic Marathon (11) π Interdisciplinary Bridge π Conference Polyglot (10) π Renaissance Researcher (8)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(47)
π§
Keyword Pioneer
π
Keyword Champion
π
Grand Slam
π§¬
Topic Evolution
π₯
Unstoppable
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(92)
π
Trend Setter
π
Century Club
(18)
Conferences
CVPR (6)
NIPS (4)
AAAI (3)
ACL (3)
ECCV (1)
ICCV (1)
ICLR (1)
ICML (1)
IJCAI (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Keywords
large language model
(3)
object detection
(2)
supervised fine-tuning
(2)
neural architecture search
(2)
session-based recommendation
(2)
network architecture
(1)
link prediction
(1)
catastrophic forgetting
(1)
weakly supervised learning
(1)
logical reasoning
(1)
text generation
(1)
multimodal learning
(1)
multi-label classification
(1)
facial animation
(1)
image segmentation
(1)
instance segmentation
(1)
hand pose estimation
(1)
human-object interaction
(1)
graph representation
(1)
spectral clustering
(1)
Papers
C-World: A Computer Use Agent Environment Creator
ACL 2026
Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents
AAAI 2026
On the Impact of Weight Quantization on Deep Neural Network Uncertainty
AAAI 2026
Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models
ACL 2026
Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning
ACL 2026
Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
ICML 2025
INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations
CVPR 2025
Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression
ICLR 2025
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
NIPS 2024
Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation
IJCAI 2024
Beta-LR: Interpretable Logical Reasoning based on Beta Distribution
NAACL 2024
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
AAAI 2024
Category Query Learning for Human-Object Interaction Classification
CVPR 2023
Described Object Detection: Liberating Object Detection with Flexible Expressions
NIPS 2023
TA-GATES: An Encoding Scheme for Neural Network Architectures
NIPS 2022
Evaluating Efficient Performance Estimators of Neural Architectures
NIPS 2021
Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding
INTERSPEECH 2019
Integral Human Pose Regression
ECCV 2018
Pseudo Mask Augmented Object Detection
CVPR 2018
Compositional Human Pose Regression
ICCV 2017
Object Proposal by Multi-Branch Hierarchical Segmentation
CVPR 2015
Cascaded Hand Pose Regression
CVPR 2015
Saliency Optimization from Robust Background Detection
CVPR 2014