Yu Li

143 papers · 2013–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🏃 Academic Marathon (12) 🌍 Conference Polyglot (15) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (20) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (24) 🏆 Grand Slam 👑 Triple Crown 🤝 Dynamic Duo (15) 🔬 Deep Specialist (16) 🧬 Topic Evolution 🗃️ Keyword Collector (50) 🚀 Conference Pioneer ⚡ Prolific Year (28) 📈 Trend Setter ❓ The Questioner (2) 💎 Century Club (134) 🔥 Unstoppable (7)

Conferences

AAAI (24) EMNLP (19) ACL (16) CVPR (15) ICCV (15) ICLR (11) NIPS (11) ECCV (7) ICML (7) NAACL (6) IJCAI (4) IJCNLP (3) COLING (2) EACL (2) OSDI (1)

Top co-authors

Zhou Yu (15) Yunfei Liu (12) Zijing Liu (9) Xin Gao (8) Lijian Lin (8) Jiyue Jiang (7) Ying Shan (7) Chun Yuan (6) Ailing Zeng (6) He CAO (6)

Research topics

Privacy (2) Computer Vision (1) Statistics (1)

Keywords

large language model (17) attention mechanism (8) dialog system (7) graph neural network (7) dialogue system (7) image restoration (7) diffusion model (5) multi-modal learning (4) self-supervised learning (4) transformer architecture (4) language model (4) text classification (4) reinforcement learning (3) video instance segmentation (3) knowledge distillation (3) domain adaptation (3) neural network optimization (3) image generation (3) representation learning (3) mathematical reasoning (3)

Papers

MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation AAAI 2026

Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT AAAI 2026

AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search AAAI 2026

C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026

Investigating Data Pruning for Pretraining Biological Foundation Models at Scale AAAI 2026

Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection AAAI 2026

LinProVSR: Linguistics-Knowledge Guided Progressive Disambiguation Network for Visual Speech Recognition AAAI 2026

RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design AAAI 2026

DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design AAAI 2026

DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models AAAI 2025

CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation ICCV 2025

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding ICCV 2025

GUAVA: Generalizable Upper Body 3D Gaussian Avatar ICCV 2025

MVQA: Mamba with Unified Sampling for Efficient Video Quality Assessment ICCV 2025

AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation AAAI 2025

TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition AAAI 2025

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding AAAI 2025

MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion ACL 2025

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation ACL 2025

A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis ACL 2025

Safety Alignment via Constrained Knowledge Unlearning ACL 2025

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming ACL 2025

Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025

Large Language Models in Bioinformatics: A Survey ACL 2025

CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge ACL 2025

LEMMA: Learning from Errors for MatheMatical Advancement in LLMs ACL 2025

DeTAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention Modification ACL 2025

Enhanced Data Synthesis for LLM through Reasoning Structures Generated by Hierarchical GFlowNet ACL 2025

InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery COLING 2025

Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models NAACL 2025

CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models NAACL 2025

How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models NAACL 2025

Function-to-Style Guidance of LLMs for Code Translation ICML 2025

ProReflow: Progressive Reflow with Decomposed Velocity CVPR 2025

HRAvatar: High-Quality and Relightable Gaussian Head Avatar CVPR 2025

Learning Cascade Ranking as One Network ICML 2025

Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics ICML 2025

TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction ICLR 2025

AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning ICLR 2025

AgentSquare: Automatic LLM Agent Search in Modular Design Space ICLR 2025

RBPtool: A Deep Language Model Framework for Multi-Resolution RBP-RNA Binding Prediction and RNA Molecule Design EMNLP 2025

Self-Adjust Softmax EMNLP 2025

Rethinking Text-based Protein Understanding: Retrieval or LLM? EMNLP 2025

AIR: Complex Instruction Generation via Automatic Iterative Refinement EMNLP 2025

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models EMNLP 2025

CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task EMNLP 2025

MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer EMNLP 2025

Semantic Contribution-Aware Adaptive Retrieval for Black-Box Models EMNLP 2025

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs ICLR 2025

Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage IJCAI 2024

HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection NIPS 2024

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation NIPS 2024

Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models ICML 2024

SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning NIPS 2024

Vector Quantization Prompting for Continual Learning NIPS 2024

Compress3D: a Compressed Latent Space for 3D Generation from a Single Image ECCV 2024

AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting ECCV 2024

AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes ECCV 2024

Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing ICML 2024

GPAvatar: Generalizable and Precise Head Avatar from Image(s) ICLR 2024

Microkernel Goes General: Performance and Compatibility in the HongMeng Production Microkernel OSDI 2024

Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts ICLR 2024

Protein Multimer Structure Prediction via Prompt Learning ICLR 2024

MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions NIPS 2024

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data NAACL 2024

LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024

Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion CVPR 2024

CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors NIPS 2024

Towards Stable Representations for Protein Interface Prediction NIPS 2024

Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery AAAI 2024

DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation CVPR 2024

A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing CVPR 2024

SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation EMNLP 2024

MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension EMNLP 2024

From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues EMNLP 2024

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes EMNLP 2024

RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation ICML 2024

One-Stage 3D Whole-Body Mesh Recovery With Component Aware Transformer CVPR 2023

L-CoIns: Language-Based Colorization With Instance Awareness CVPR 2023

A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering ACL 2023

Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets EMNLP 2023

Learning Rain Location Prior for Nighttime Deraining ICCV 2023

Accurate 3D Face Reconstruction with Facial Component Tokens ICCV 2023

From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels ICCV 2023

HiBug: On Human-Interpretable Model Debug NIPS 2023

L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors NIPS 2023

Learning Single Image Defocus Deblurring with Misaligned Training Pairs AAAI 2023

Signed Laplacian Graph Neural Networks AAAI 2023

Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding ICCV 2023

MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions ICCV 2023

DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization ACL 2023

Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog Systems EMNLP 2022

Orthogonal Graph Neural Networks AAAI 2022

Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation AAAI 2022

SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation AAAI 2022

Active Learning for Open-Set Annotation CVPR 2022

Temporally Efficient Vision Transformer for Video Instance Segmentation CVPR 2022

CT2: Colorization Transformer via Color Tokens ECCV 2022

L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer ECCV 2022

GHAN: Graph-Based Hierarchical Aggregation Network for Text-Video Retrieval EMNLP 2022

Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval ICLR 2022

“Think Before You Speak”: Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs IJCAI 2022

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation NAACL 2022

Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information NAACL 2022

Beyond Categorical Label Representations for Image Classification ICLR 2021

Instances As Queries ICCV 2021

Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration EMNLP 2021

FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks EMNLP 2021

CLiMP: A Benchmark for Chinese Language Model Evaluation EACL 2021

Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models EACL 2021

Learning Temporal Consistency for Low Light Video Enhancement From Single Images CVPR 2021

Information Bottleneck Approach to Spatial Attention Learning IJCAI 2021

Towards Real-World Blind Face Restoration With Generative Facial Prior CVPR 2021

Towards Emotional Support Dialog Systems IJCNLP 2021

The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity IJCNLP 2021

LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing IJCNLP 2021

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks NIPS 2021

LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing ACL 2021

The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity ACL 2021

Towards Emotional Support Dialog Systems ACL 2021

RevMan: Revenue-aware Multi-task Online Insurance Recommendation AAAI 2021

Towards Vivid and Diverse Image Colorization With Generative Color Prior ICCV 2021

Crossover Learning for Fast Online Video Instance Segmentation ICCV 2021

Exploring Balanced Feature Spaces for Representation Learning ICLR 2021

Learning Signed Network Embedding via Graph Attention AAAI 2020

Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning COLING 2020

End-to-End Trainable Non-Collaborative Dialog System AAAI 2020

Learning To Stop While Learning To Predict ICML 2020

A Multi-Persona Chatbot for Hotline Counselor Training EMNLP 2020

The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation ECCV 2020

Fast Video Object Segmentation using the Global Context Module ECCV 2020

RNA Secondary Structure Prediction By Learning Unrolled Algorithms ICLR 2020

Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax CVPR 2020

Unsupervised Learning for Intrinsic Image Decomposition From a Single Image CVPR 2020

Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NIPS 2019

Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019

Learning Network Embedding with Community Structural Information IJCAI 2019

Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019

Rain Streak Removal Using Layer Priors CVPR 2016

Nighttime Haze Removal With Glow and Multiple Light Colors ICCV 2015

SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs ICCV 2015

Single Image Layer Separation using Relative Smoothness CVPR 2014

Exploiting Reflection Change for Automatic Reflection Removal ICCV 2013