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Qi Liu

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

Achievements

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+17 more ↓ πŸ—ΊοΈ Taxonomy Completionist (36) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🏠 Conference Loyalist (36) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (21) πŸ”¬ Deep Specialist (32) 🀝 Dynamic Duo (39) πŸš€ Conference Pioneer ⚑ Prolific Year (27) πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (104) πŸ’Ž Century Club (179) πŸ“ˆ Trend Setter ❓ The Questioner (4)

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)

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 LLMs’ 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 LLMs’ 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