Qi Liu
199 papers · 2012–2026 · 15 conferences · across top CS/AI conferences
Achievements
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The Questioner
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Conferences
AAAI (47)
ACL (31)
IJCAI (27)
NIPS (26)
EMNLP (19)
CVPR (11)
ICLR (10)
ICML (9)
ICCV (5)
INTERSPEECH (5)
NAACL (5)
COLING (1)
JMLR (1)
MICCAI (1)
MIDL (1)
Top co-authors
Research topics
Keywords
large language model
(27)
graph neural network
(13)
attention mechanism
(12)
representation learning
(9)
reinforcement learning
(9)
recommender system
(8)
multimodal learning
(8)
contrastive learning
(8)
data augmentation
(7)
cognitive diagnosis
(7)
transfer learning
(7)
vision-language model
(6)
semantic segmentation
(5)
knowledge distillation
(5)
self-supervised learning
(5)
domain adaptation
(5)
multimodal large language model
(5)
question answering
(5)
pre-trained language model
(5)
knowledge concept
(5)
Papers
OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows
ACL 2026
From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
AAAI 2026
EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving
ACL 2026
C-World: A Computer Use Agent Environment Creator
ACL 2026
Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning
AAAI 2026
Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning
AAAI 2026
What-Meets-Where: Unified Learning of Action and Contact Localization in Images
AAAI 2026
QueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection
AAAI 2026
DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
AAAI 2026
Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation
AAAI 2026
TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
AAAI 2026
Semantically Comprehensive Token Pruning in LVLMs via Maximizing Concept Coverage
ACL 2026
Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models
AAAI 2026
Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models
ACL 2026
Cognitive Alpha Mining via LLM-Driven Code-Based Evolution
ACL 2026
Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning
AAAI 2026
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning
AAAI 2026
ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
ACL 2026
Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees
ACL 2026
LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring
ACL 2026
HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation
CVPR 2025
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image
NAACL 2025
TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting
IJCAI 2025
WDMIR: Wavelet-Driven Multimodal Intent Recognition
IJCAI 2025
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
IJCAI 2025
Position: AI Evaluation Should Learn from How We Test Humans
ICML 2025
CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
ICML 2025
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
ICML 2025
am-ELO: A Stable Framework for Arena-based LLM Evaluation
ICML 2025
CogMath: Assessing LLMsβ Authentic Mathematical Ability from a Human Cognitive Perspective
ICML 2025
CursorCore: Assist Programming through Aligning Anything
ICML 2025
Temporal Reasoning Transfer from Text to Video
ICLR 2025
Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
ICLR 2025
Making Transformer Decoders Better Differentiable Indexers
ICLR 2025
RecFlow: An Industrial Full Flow Recommendation Dataset
ICLR 2025
GenAL: Generative Agent for Adaptive Learning
AAAI 2025
Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis
AAAI 2025
Geometry-Aware 3D Salient Object Detection Network
AAAI 2025
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration
AAAI 2025
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories
AAAI 2025
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
AAAI 2025
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
AAAI 2025
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
AAAI 2025
VERSE: Verification-based Self-Play for Code Instructions
AAAI 2025
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
AAAI 2025
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
ICLR 2025
Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study
ICLR 2025
MSA2: Multi-task Framework with Structure-aware and Style-adaptive Character Representation for Open-set Chinese Text Recognition
ICCV 2025
Jailbreaking as a Reward Misspecification Problem
ICLR 2025
Stepwise Reasoning Disruption Attack of LLMs
ACL 2025
Entailment-Preserving First-order Logic Representations in Natural Language Entailment
ACL 2025
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation
ACL 2025
PQR: Improving Dense Retrieval via Potential Query Modeling
ACL 2025
UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation
ACL 2025
Design Choices for Extending the Context Length of Visual Language Models
ACL 2025
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
ACL 2025
CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval
ACL 2025
A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding
ACL 2025
MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
ACL 2025
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
ACL 2025
MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
ACL 2025
Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting
ACL 2025
Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss
ICCV 2025
Adaptive Preference Optimization with Uncertainty-aware Utility Anchor
EMNLP 2025
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
EMNLP 2025
WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?
EMNLP 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing
EMNLP 2025
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
CVPR 2025
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
AAAI 2024
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
NIPS 2024
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
NIPS 2024
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
NIPS 2024
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
NIPS 2024
Generalized Protein Pocket Generation with Prior-Informed Flow Matching
NIPS 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
NIPS 2024
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
NIPS 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
NIPS 2024
Computerized Adaptive Testing via Collaborative Ranking
NIPS 2024
3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
NIPS 2024
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
NIPS 2024
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization
AAAI 2024
R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion
AAAI 2024
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
AAAI 2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
AAAI 2024
Ο-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control
AAAI 2024
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
ACL 2024
Large Language Models are not Fair Evaluators
ACL 2024
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
ACL 2024
Red Teaming Visual Language Models
ACL 2024
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization
ACL 2024
RePair: Automated Program Repair with Process-based Feedback
ACL 2024
Improving Depth Completion via Depth Feature Upsampling
CVPR 2024
Retrieved Sequence Augmentation for Protein Representation Learning
EMNLP 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
EMNLP 2024
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
EMNLP 2024
Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis
EMNLP 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
EMNLP 2024
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
EMNLP 2024
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization
EMNLP 2024
Towards Explainable Computerized Adaptive Testing with Large Language Model
EMNLP 2024
Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding
EMNLP 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
ICLR 2024
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
ICLR 2024
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
ICML 2024
Federated Self-Explaining GNNs with Anti-shortcut Augmentations
ICML 2024
Making LLMs as Fine-Grained Relation Extraction Data Augmentor
IJCAI 2024
A Teacher Classroom Dress Assessment Method Based on a New Assessment Dataset
IJCAI 2024
Pygmtools: A Python Graph Matching Toolkit
JMLR 2024
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction
MICCAI 2024
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding
INTERSPEECH 2023
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition
INTERSPEECH 2023
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer
IJCAI 2023
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering
IJCAI 2023
Exploiting Non-Interactive Exercises in Cognitive Diagnosis
IJCAI 2023
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification
IJCAI 2023
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization
IJCAI 2023
Can Language Models Understand Physical Concepts?
EMNLP 2023
LRRU: Long-short Range Recurrent Updating Networks for Depth Completion
ICCV 2023
Interventional Rationalization
EMNLP 2023
Enhancing Hierarchical Text Classification through Knowledge Graph Integration
ACL 2023
Molecule Generation For Target Protein Binding with Structural Motifs
ICLR 2023
A Bounded Ability Estimation for Computerized Adaptive Testing
NIPS 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
NIPS 2023
Full-Atom Protein Pocket Design via Iterative Refinement
NIPS 2023
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
NIPS 2023
Backdoor Defense via Deconfounded Representation Learning
CVPR 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
AAAI 2023
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning
AAAI 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
NIPS 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
NIPS 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
ICML 2023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
NIPS 2023
Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction
CVPR 2023
SoulChat: Improving LLMsβ Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations
EMNLP 2023
NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation
CVPR 2023
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis
MIDL 2023
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation
EMNLP 2022
DARE: Disentanglement-Augmented Rationale Extraction
NIPS 2022
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis
ACL 2022
ProtGNN: Towards Self-Explaining Graph Neural Networks
AAAI 2022
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education
AAAI 2022
Hierarchical Graph Transformer with Adaptive Node Sampling
NIPS 2022
Anisotropic Additive Quantization for Fast Inner Product Search
AAAI 2022
Deep residual spiking neural network for keyword spotting in low-resource settings
INTERSPEECH 2022
Knowledge distillation for In-memory keyword spotting model
INTERSPEECH 2022
Context-Aware Video Reconstruction for Rolling Shutter Cameras
CVPR 2022
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play
EMNLP 2022
Causal Effect Inference for Structured Treatments
NIPS 2021
Counterfactual Data Augmentation for Neural Machine Translation
NAACL 2021
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition
NAACL 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
EMNLP 2021
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction
AAAI 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
NIPS 2021
Class-Based Neural Network Language Model for Second-Pass Rescoring in ASR
INTERSPEECH 2021
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer
AAAI 2021
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem
AAAI 2021
Guided Attention Network for Concept Extraction
IJCAI 2021
Preference-Adaptive Meta-Learning for Cold-Start Recommendation
IJCAI 2021
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty
AAAI 2021
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification
AAAI 2021
Item Response Ranking for Cognitive Diagnosis
IJCAI 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks
IJCAI 2021
Towards a New Generation of Cognitive Diagnosis
IJCAI 2021
DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis
ICCV 2021
Unsupervised Point Cloud Pre-Training via Occlusion Completion
ICCV 2021
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach
AAAI 2020
Neural Cognitive Diagnosis for Intelligent Education Systems
AAAI 2020
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach
AAAI 2020
Learning the Compositional Visual Coherence for Complementary Recommendations
IJCAI 2020
Smart Contract Vulnerability Detection using Graph Neural Network
IJCAI 2020
Sampling-Decomposable Generative Adversarial Recommender
NIPS 2020
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution
AAAI 2020
Multi-Task Self-Supervised Learning for Disfluency Detection
AAAI 2020
SketchyCOCO: Image Generation From Freehand Scene Sketches
CVPR 2020
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
AAAI 2020
A Radical-Aware Attention-Based Model for Chinese Text Classification
AAAI 2019
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
IJCAI 2019
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
CVPR 2019
Towards Natural and Accurate Future Motion Prediction of Humans and Animals
CVPR 2019
Quaternion Knowledge Graph Embeddings
NIPS 2019
Hyperbolic Graph Neural Networks
NIPS 2019
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification
AAAI 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
CVPR 2019
Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction
IJCAI 2019
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective
AAAI 2019
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
AAAI 2019
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach
IJCAI 2018
Sentence-State LSTM for Text Representation
ACL 2018
Constrained Graph Variational Autoencoders for Molecule Design
NIPS 2018
Learning Domain Representation for Multi-Domain Sentiment Classification
NAACL 2018
Mining Evidences for Concept Stock Recommendation
NAACL 2018
Incremental Matrix Factorization: A Linear Feature Transformation Perspective
IJCAI 2017
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective
IJCAI 2017
Natural Supervised Hashing
IJCAI 2016
Matrix Factorization with Scale-Invariant Parameters
IJCAI 2015
Maximizing the Coverage of Information Propagation in Social Networks
IJCAI 2015
Cognitive Modelling for Predicting Examinee Performance
IJCAI 2015
PageRank with Priors: An Influence Propagation Perspective
IJCAI 2013
THUTR: A Translation Retrieval System
COLING 2012