Tao Li
74 papers · 2009–2026 · 18 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (18) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (16)
π
Academic Marathon
(16)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(11)
π₯
Mega-Team
(40)
π
Keyword Champion
(2)
π€
Dynamic Duo
(13)
π§¬
Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(273)
π
Trend Setter
π
Century Club
(68)
π₯
Unstoppable
(11)
β
The Questioner
β‘
Prolific Year
(17)
π
Conference Pioneer
Conferences
EMNLP (15)
AAAI (14)
ACL (8)
INTERSPEECH (6)
IJCNLP (5)
NIPS (4)
MICCAI (4)
CVPR (4)
ICLR (3)
ECCV (2)
WACV (2)
ICCV (1)
ICML (1)
EACL (1)
JMLR (1)
COLING (1)
NAACL (1)
ACML (1)
Top co-authors
Research topics
Keywords
large language model
(6)
natural language inference
(5)
style transfer
(4)
graph neural network
(4)
diffusion model
(4)
model compression
(3)
neural network
(3)
attention mechanism
(3)
image restoration
(3)
adversarial attack
(2)
domain generalization
(2)
zero-shot learning
(2)
constraint satisfaction
(2)
transfer learning
(2)
semantic role labeling
(2)
multi-task learning
(2)
unsupervised learning
(2)
semantic parsing
(2)
anomaly detection
(2)
domain adaptation
(2)
Papers
EvalMuse-40K: A Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Alignment Evaluation
AAAI 2026
A Solution Space Transformation-Guided Co-Evolution for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling
AAAI 2026
DisCo_Speech: Controllable Zero-Shot Speech Generation with A Disentangled Speech Codec
ACL 2026
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild
AAAI 2026
EEG Agent: A Unified Framework for Automated EEG Analysis Using Large Language Models
AAAI 2026
Nighttime Flare Removal via Wavelet-Guided and Gated-Enhanced Spatial-Frequency Fusion Network
AAAI 2026
Distraction is All You Need for Multimodal Large Language Model Jailbreaking
CVPR 2025
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks
AAAI 2025
Towards Automated Pediatric Dental Development Staging: A Dataset and Model
MICCAI 2025
Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception
AAAI 2025
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
AAAI 2025
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
AAAI 2025
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development
MICCAI 2025
Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape
ICML 2025
BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications
ICLR 2025
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
ICLR 2025
HookMoE: A learnable performance compensation strategy of Mixture-of-Experts for LLM inference acceleration
EMNLP 2025
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy
ECCV 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
NIPS 2024
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
NIPS 2024
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
NIPS 2024
Generalizable Sleep Staging via Multi-Level Domain Alignment
AAAI 2024
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
AAAI 2024
MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis
AAAI 2024
Friendly Sharpness-Aware Minimization
CVPR 2024
MUG: Interactive Multimodal Grounding on User Interfaces
EACL 2024
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
ECCV 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
Devilβs Advocate: Anticipatory Reflection for LLM Agents
EMNLP 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
EMNLP 2024
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
EMNLP 2024
Towards Expressive Zero-Shot Speech Synthesis with Hierarchical Prosody Modeling
INTERSPEECH 2024
FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
MICCAI 2024
Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
MICCAI 2024
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation
ACL 2023
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
ICLR 2023
Cross-Modal Semantic Alignment before Fusion for Two-Pass End-to-End Spoken Language Understanding
INTERSPEECH 2023
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information
ACML 2023
A Zero-Shot Language Agent for Computer Control with Structured Reflection
EMNLP 2023
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
EMNLP 2023
Learning Semantic Role Labeling from Compatible Label Sequences
EMNLP 2023
Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond
WACV 2023
Importance Sparsification for Sinkhorn Algorithm
JMLR 2023
Conformer-based Language Embedding with Self-Knowledge Distillation for Spoken Language Identification
INTERSPEECH 2023
Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge
INTERSPEECH 2023
Cross-speaker Emotion Transfer Based On Prosody Compensation for End-to-End Speech Synthesis
INTERSPEECH 2022
Subspace Adversarial Training
CVPR 2022
PYLON: A PyTorch Framework for Learning with Constraints
AAAI 2022
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
EMNLP 2021
Automatic Entity State Annotation using the VerbNet Semantic Parser
EMNLP 2021
Enriching Source Style Transfer in Recognition-Synthesis Based Non-Parallel Voice Conversion
INTERSPEECH 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction
NIPS 2021
Structured Tuning for Semantic Role Labeling
ACL 2020
Self-Learning With Rectification Strategy for Human Parsing
CVPR 2020
Component Attention Guided Face Super-Resolution Network: CAGFace
WACV 2020
On Measuring and Mitigating Biased Inferences of Word Embeddings
AAAI 2020
UNQOVERing Stereotyping Biases via Underspecified Questions
EMNLP 2020
Augmenting Neural Networks with First-order Logic
ACL 2019
A Logic-Driven Framework for Consistency of Neural Models
EMNLP 2019
A Logic-Driven Framework for Consistency of Neural Models
IJCNLP 2019
Aspect Based Sentiment Analysis with Gated Convolutional Networks
ACL 2018
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
EMNLP 2018
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews
IJCNLP 2017
Structure-Measure: A New Way to Evaluate Foreground Maps
ICCV 2017
Exploiting Sentence Similarities for Better Alignments
EMNLP 2016
Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation
ACL 2015
Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation
IJCNLP 2015
A Participant-based Approach for Event Summarization Using Twitter Streams
NAACL 2013
A Non-negative Matrix Factorization Based Approach for Active Dual Supervision from Document and Word Labels
EMNLP 2011
Multi-Document Summarization via the Minimum Dominating Set
COLING 2010
Multi-Document Summarization using Sentence-based Topic Models
IJCNLP 2009
Multi-Document Summarization using Sentence-based Topic Models
ACL 2009
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
ACL 2009
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
IJCNLP 2009