Gang Li
67 papers · 2014–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (16) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π Academic Marathon (11)
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Cross-Pollinator
(7)
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Renaissance Researcher
(10)
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Mega-Team
(43)
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Topic Evolution
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Triple Crown
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Grand Slam
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Keyword Collector
(233)
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Prolific Year
(7)
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Conference Pioneer
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Trend Setter
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Century Club
(58)
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Unstoppable
(9)
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The Questioner
(2)
Conferences
NIPS (9)
MICCAI (8)
CVPR (8)
AAAI (8)
ECCV (6)
ACL (6)
EMNLP (5)
IJCAI (3)
INTERSPEECH (3)
ACML (2)
ICLR (2)
ICML (2)
EACL (1)
ICCV (1)
IJCNLP (1)
MIDL (1)
NAACL (1)
Top co-authors
Keywords
large language model
(9)
multimodal learning
(6)
federated learning
(4)
object detection
(4)
deep learning
(4)
human feedback
(3)
model compression
(3)
semi-supervised learning
(3)
user interface
(2)
markov random field
(2)
kernel methods
(2)
text-to-image generation
(2)
reward model
(2)
multimodal transformer
(2)
3d vision
(2)
topological data analysis
(2)
domain adaptation
(2)
attention mechanism
(2)
self-supervised learning
(2)
image captioning
(2)
Papers
MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution
ACL 2026
OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks
AAAI 2026
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
AAAI 2026
TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology
AAAI 2026
DLDA: Unified Dual-Level Domain Adaptation for Low-Light Object Detection
AAAI 2026
The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness
ACL 2026
Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection
MIDL 2026
Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains
ACL 2026
OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility
AAAI 2026
Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems
AAAI 2025
Align-A-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing
CVPR 2025
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation
CVPR 2025
PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT
MICCAI 2025
Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI
MICCAI 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information
IJCAI 2025
Can Language Models Capture Human Writing Preferences for Domain-Specific Text Summarization?
ACL 2025
Exploring and Detecting Self-disclosure in Multi-modal posts on Chinese Social Media
EMNLP 2025
Distilling Knowledge from Large-Scale Image Models for Object Detection
ECCV 2024
Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure
MICCAI 2024
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
EMNLP 2024
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection
NIPS 2024
Development of Effective Connectome from Infancy to Adolescence
MICCAI 2024
UniAR: A Unified model for predicting human Attention and Responses on visual content
NIPS 2024
Cycle-consistent Learning for Fetal Cortical Surface Reconstruction
MICCAI 2024
Consecutive-Contrastive Spherical U-net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-duration fMRI Scans
MICCAI 2024
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications
NIPS 2024
Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)
IJCAI 2024
Enhancing Automated Audio Captioning via Large Language Models with Optimized Audio Encoding
INTERSPEECH 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
NIPS 2024
SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization
ACL 2024
Rich Human Feedback for Text-to-Image Generation
CVPR 2024
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
StraightPCF: Straight Point Cloud Filtering
CVPR 2024
MUG: Interactive Multimodal Grounding on User Interfaces
EACL 2024
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development
MICCAI 2024
Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation
MICCAI 2024
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
ECCV 2024
PDT Uav Target Detection Dataset for Pests and Diseases Tree
ECCV 2024
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
ICML 2023
Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
NIPS 2023
IterativePFN: True Iterative Point Cloud Filtering
CVPR 2023
A Zero-Shot Language Agent for Computer Control with Structured Reflection
EMNLP 2023
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction
EMNLP 2023
Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus
ICLR 2023
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
ICLR 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
IJCAI 2023
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators
ECCV 2022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
ECCV 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
NIPS 2022
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation
AAAI 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
ICML 2022
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
NIPS 2022
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
NIPS 2022
Hilbert Sinkhorn Divergence for Optimal Transport
CVPR 2021
EBERT: Efficient BERT Inference with Dynamic Structured Pruning
IJCNLP 2021
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
NIPS 2021
Dynamic Dual Gating Neural Networks
ICCV 2021
EBERT: Efficient BERT Inference with Dynamic Structured Pruning
ACL 2021
Sparsity-Inducing Binarized Neural Networks
AAAI 2020
Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements
EMNLP 2020
Polynomial Representation for Persistence Diagram
CVPR 2019
Audio De-identification - a New Entity Recognition Task
NAACL 2019
Training Binary Weight Networks via Semi-Binary Decomposition
ECCV 2018
Countermeasures for Automatic Speaker Verification Replay Spoofing Attack : On Data Augmentation, Feature Representation, Classification and Fusion
INTERSPEECH 2017
End-to-End Deep Learning Framework for Speech Paralinguistics Detection Based on Perception Aware Spectrum
INTERSPEECH 2017
Preference Relation-based Markov Random Fields for Recommender Systems
ACML 2015
Ordinal Random Fields for Recommender Systems
ACML 2014