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Tao Li

74 papers · 2009–2026 · 18 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🌍 Conference Polyglot (18) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (11) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (16)
πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (11) πŸ‘₯ Mega-Team (40) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (13) 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (273) πŸ“ˆ Trend Setter πŸ’Ž Century Club (68) πŸ”₯ Unstoppable (11) ❓ The Questioner ⚑ Prolific Year (17) πŸš€ 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)

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 Devil’s 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