Yi Liu
119 papers · 2007–2026 · 15 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (15)
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(6)
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Interdisciplinary Bridge
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(18)
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Conference Loyalist
(21)
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Triple Crown
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(11)
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Mega-Team
(35)
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Deep Specialist
(15)
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Topic Evolution
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Keyword Champion
(2)
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Prolific Year
(5)
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The Questioner
(2)
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Century Club
(106)
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Conference Pioneer
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Unstoppable
(11)
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Keyword Collector
(482)
Conferences
ACL (23)
AAAI (22)
EMNLP (12)
CVPR (10)
COLING (8)
INTERSPEECH (8)
NIPS (8)
ICLR (6)
ICML (6)
ICCV (5)
IJCAI (4)
NAACL (4)
ECCV (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
large language model
(19)
graph neural network
(9)
multimodal learning
(7)
attention mechanism
(6)
representation learning
(6)
text generation
(5)
diffusion model
(5)
speaker verification
(4)
feature extraction
(4)
video understanding
(4)
neural network
(4)
jailbreak attack
(4)
adversarial learning
(4)
knowledge distillation
(4)
self-supervised learning
(3)
sentiment analysis
(3)
reinforcement learning
(3)
contrastive learning
(3)
differential privacy
(3)
image restoration
(3)
Papers
LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment
ACL 2026
STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter
AAAI 2026
Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model
AAAI 2026
DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
AAAI 2026
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
AAAI 2026
AIM: Manifold-based Data Filtering for Representation Finetuning
AAAI 2026
Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models
AAAI 2026
Sortblock: Similarity-Aware Feature Reuse for Diffusion Model
AAAI 2026
Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System
ACL 2026
Finding Time Series Anomalies Using Granular-Ball Vector Data Description
AAAI 2026
In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback
AAAI 2026
FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations
AAAI 2026
Who Should I Trust? Explicit Confidence-Focused Multimodal Intent Recognition
AAAI 2026
CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective
ICCV 2025
CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation
ICCV 2025
Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition
EMNLP 2025
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
NAACL 2025
Mitigating Biases in Language Models via Bias Unlearning
EMNLP 2025
TombRaider: Entering the Vault of History to Jailbreak Large Language Models
EMNLP 2025
VENUS: A VLLM-driven Video Content Discovery System for Real Application Scenarios
EMNLP 2025
Knowledge Graph-Guided Retrieval Augmented Generation
NAACL 2025
Anatomy-Guided Multimodal Graph Networks for Alzheimerβs Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures
MICCAI 2025
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
IJCAI 2025
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension
ACL 2025
ATLANTIS: Weak-to-Strong Learning via Importance Sampling
ACL 2025
Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models
ACL 2025
DeepRTL2: A Versatile Model for RTL-Related Tasks
ACL 2025
Fine-grained Knowledge Enhancement for Retrieval-Augmented Generation
ACL 2025
RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models
ACL 2025
Template3D-AD: Point Cloud Template Matching Method Based on Center Points for 3D Anomaly Detection
IJCAI 2025
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework
IJCAI 2025
Perturbation-driven Dual Auxiliary Contrastive Learning for Collaborative Filtering Recommendation
COLING 2025
Controllable Protein Sequence Generation with LLM Preference Optimization
AAAI 2025
Modeling Interactions Between Stocks Using LLM-Enhanced Graphs for Volume Prediction
COLING 2025
Proxy Tuning for Financial Sentiment Analysis: Overcoming Data Scarcity and Computational Barriers
COLING 2025
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
ICML 2025
On-the-fly Preference Alignment via Principle-Guided Decoding
ICLR 2025
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
ICLR 2025
Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators
ICLR 2025
SUTrack: Towards Simple and Unified Single Object Tracking
AAAI 2025
Exploring Enhanced Contextual Information for Video-Level Object Tracking
AAAI 2025
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis
AAAI 2025
CALM: Curiosity-Driven Auditing for Large Language Models
AAAI 2025
Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways
CVPR 2025
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space
CVPR 2025
LIRE: listwise reward enhancement for preference alignment
ACL 2024
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
NIPS 2024
Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing
AAAI 2024
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning
AAAI 2024
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
AAAI 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach
AAAI 2024
Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation
ACL 2024
Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering
ACL 2024
Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues
ACL 2024
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
ACL 2024
Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion
ACL 2024
TempCompass: Do Video LLMs Really Understand Videos?
ACL 2024
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation
COLING 2024
Visual-Linguistic Dependency Encoding for Image-Text Retrieval
COLING 2024
Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM
COLING 2024
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
CVPR 2024
Tactile-Augmented Radiance Fields
CVPR 2024
DETRs Beat YOLOs on Real-time Object Detection
CVPR 2024
CAMixerSR: Only Details Need More "Attention"
CVPR 2024
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
ECCV 2024
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions
EMNLP 2024
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization
EMNLP 2024
Task Oriented In-Domain Data Augmentation
EMNLP 2024
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
EMNLP 2024
Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement
EMNLP 2024
Neural Field Classifiers via Target Encoding and Classification Loss
ICLR 2024
Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy
ICML 2024
Multi-Source Conformal Inference Under Distribution Shift
ICML 2024
A Small and Fast BERT for Chinese Medical Punctuation Restoration
INTERSPEECH 2024
TISE: A Tripartite In-context Selection Method for Event Argument Extraction
NAACL 2024
Semi-Offline Reinforcement Learning for Optimized Text Generation
ICML 2023
Lightweight Image Super-Resolution with Superpixel Token Interaction
ICCV 2023
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
EMNLP 2023
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
ICML 2023
Gaussian Differential Privacy on Riemannian Manifolds
NIPS 2023
Learning Hierarchical Protein Representations via Complete 3D Graph Networks
ICLR 2023
Online Local Differential Private Quantile Inference via Self-normalization
ICML 2023
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection
CVPR 2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
ACL 2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter
ACL 2023
Multimodal Sarcasm Target Identification in Tweets
ACL 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
NIPS 2022
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
NIPS 2022
Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire
INTERSPEECH 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
NIPS 2022
Spherical Message Passing for 3D Molecular Graphs
ICLR 2022
DeepGen: Diverse Search Ad Generation and Real-Time Customization
EMNLP 2022
Periodic Graph Transformers for Crystal Material Property Prediction
NIPS 2022
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
NIPS 2022
CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction
COLING 2022
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
AAAI 2022
Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis
CVPR 2021
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models
EMNLP 2021
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
NIPS 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation
ICCV 2021
The Effect of Language Dominance on the Selective Attention of Segments and Tones in Urdu-Cantonese Speakers
INTERSPEECH 2020
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning
CVPR 2020
THUEE System for NIST SRE19 CTS Challenge
INTERSPEECH 2020
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation
IJCAI 2020
A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification
AAAI 2019
Large Margin Softmax Loss for Speaker Verification
INTERSPEECH 2019
Employing Deep Part-Object Relationships for Salient Object Detection
ICCV 2019
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
ACL 2018
Multi-glance Reading Model for Text Understanding
ACL 2018
Speaker Embedding Extraction with Phonetic Information
INTERSPEECH 2018
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification
ACL 2018
Teaching Compositionality to CNNs
CVPR 2017
Investigating Various Diarization Algorithms for Speaker in the Wild (SITW) Speaker Recognition Challenge
INTERSPEECH 2016
THU-EE System Description for NIST LRE 2015
INTERSPEECH 2016
Clustering Sentences with Density Peaks for Multi-document Summarization
NAACL 2015
Translating Queries into Snippets for Improved Query Expansion
COLING 2008
Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems
ACL 2007
Statistical Machine Translation for Query Expansion in Answer Retrieval
ACL 2007