Qi Liu

190 papers · 2012–2026 · 15 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (36) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (7) 🏃 Academic Marathon (13) 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏠 Conference Loyalist (36) 🏆 Keyword Champion (2) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (21) 🔬 Deep Specialist (32) 🤝 Dynamic Duo (39) 🚀 Conference Pioneer ⚡ Prolific Year (27) 🔥 Unstoppable (11) 🗃️ Keyword Collector (104) 💎 Century Club (179) 📈 Trend Setter ❓ The Questioner (4)

Conferences

AAAI (47) IJCAI (27) NIPS (26) ACL (22) 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

Enhong Chen (40) Zhenya Huang (34) Kai Zhang (19) Weibo Gao (13) ZAIXI ZHANG (13) Shijin Wang (13) Zheng Zhang (12) Hongke Zhao (12) Rui Li (11) Yan Zhuang (11)

Research topics

Education (11) Models (1) Applications (1)

Keywords

large language model (23) graph neural network (13) attention mechanism (12) representation learning (9) recommender system (8) multimodal learning (8) contrastive learning (8) reinforcement learning (7) cognitive diagnosis (7) transfer learning (7) data augmentation (7) semantic segmentation (5) knowledge distillation (5) self-supervised learning (5) domain adaptation (5) multimodal large language model (5) question answering (5) vision-language model (5) pre-trained language model (5) knowledge concept (5)

Papers

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

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

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

Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models AAAI 2026

DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors AAAI 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

From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026

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

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 LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective ICML 2025

CursorCore: Assist Programming through Aligning Anything ICML 2025

Jailbreaking as a Reward Misspecification Problem ICLR 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

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

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

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

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

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems AAAI 2025

SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning 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

HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation CVPR 2025

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting ACL 2025

MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality ACL 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

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization 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

R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion AAAI 2024

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives 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

π-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

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

Learning Subpocket Prototypes for Generalizable Structure-based Drug Design ICML 2023

NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation CVPR 2023

Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization IJCAI 2023

Backdoor Defense via Deconfounded Representation Learning CVPR 2023

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking 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

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning NIPS 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

SoulChat: Improving LLMs’ Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations EMNLP 2023

Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis MIDL 2023

Enhancing Hierarchical Text Classification through Knowledge Graph Integration ACL 2023

Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding INTERSPEECH 2023

LRRU: Long-short Range Recurrent Updating Networks for Depth Completion ICCV 2023

Interventional Rationalization EMNLP 2023

InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition INTERSPEECH 2023

Molecule Generation For Target Protein Binding with Structural Motifs ICLR 2023

A Bounded Ability Estimation for Computerized Adaptive Testing NIPS 2023

Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction CVPR 2023

Can Language Models Understand Physical Concepts? EMNLP 2023

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NIPS 2023

Evaluating Self-Supervised Learning for Molecular Graph Embeddings NIPS 2023

Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer IJCAI 2023

Deep residual spiking neural network for keyword spotting in low-resource settings INTERSPEECH 2022

ProtGNN: Towards Self-Explaining Graph Neural Networks AAAI 2022

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education AAAI 2022

Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022

DARE: Disentanglement-Augmented Rationale Extraction NIPS 2022

Hierarchical Graph Transformer with Adaptive Node Sampling NIPS 2022

Knowledge distillation for In-memory keyword spotting model INTERSPEECH 2022

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis ACL 2022

Context-Aware Video Reconstruction for Rolling Shutter Cameras CVPR 2022

Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation EMNLP 2022

Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play EMNLP 2022

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem AAAI 2021

Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty AAAI 2021

Unsupervised Point Cloud Pre-Training via Occlusion Completion ICCV 2021

Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification AAAI 2021

Counterfactual Data Augmentation for Neural Machine Translation NAACL 2021

Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition NAACL 2021

Guided Attention Network for Concept Extraction IJCAI 2021

Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 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

Causal Effect Inference for Structured Treatments NIPS 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

Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer AAAI 2021

Class-Based Neural Network Language Model for Second-Pass Rescoring in ASR INTERSPEECH 2021

NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application EMNLP 2021

DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis ICCV 2021

SketchyCOCO: Image Generation From Freehand Scene Sketches CVPR 2020

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution AAAI 2020

Sampling-Decomposable Generative Adversarial Recommender NIPS 2020

Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020

Neural Cognitive Diagnosis for Intelligent Education Systems AAAI 2020

Smart Contract Vulnerability Detection using Graph Neural Network IJCAI 2020

Learning the Compositional Visual Coherence for Complementary Recommendations IJCAI 2020

Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model AAAI 2020

Multi-Task Self-Supervised Learning for Disfluency Detection AAAI 2020

A Radical-Aware Attention-Based Model for Chinese Text Classification AAAI 2019

Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction IJCAI 2019

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach IJCAI 2019

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective AAAI 2019

Quaternion Knowledge Graph Embeddings NIPS 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

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds CVPR 2019

Hyperbolic Graph Neural Networks NIPS 2019

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019

Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective AAAI 2019

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach IJCAI 2018

Mining Evidences for Concept Stock Recommendation NAACL 2018

Constrained Graph Variational Autoencoders for Molecule Design NIPS 2018

Sentence-State LSTM for Text Representation ACL 2018

Learning Domain Representation for Multi-Domain Sentiment Classification 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

Maximizing the Coverage of Information Propagation in Social Networks IJCAI 2015

Matrix Factorization with Scale-Invariant Parameters 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