Xin Liu

Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation ACL 2026 Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks ACL 2026 Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection AAAI 2026 DPDV: Dual-Pathway and Dual-View Representation Learning for Bridging Information Asymmetry in Text-Video Retrieval ACL 2026 C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026 EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026 OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026 DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing AAAI 2026 Collaborative Feature Matching with Progressive Correspondence Learning AAAI 2026 Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms AAAI 2026 Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools EACL 2026 Intention Knowledge Graph Construction for User Intention Relation Modeling EACL 2026 UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models ACL 2026 Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models AAAI 2026 KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference AAAI 2026 Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data ICML 2025 STDD: Spatio-Temporal Dual Diffusion for Video Generation CVPR 2025 InteGround: On the Evaluation of Verification and Retrieval Planning in Integrative Grounding EMNLP 2025 DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning EMNLP 2025 Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models EMNLP 2025 Can Language Models Follow Multiple Turns of Entangled Instructions? EMNLP 2025 FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset CORL 2025 DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing ICCV 2025 An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints ICML 2025 On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime ICLR 2025 GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation ICLR 2025 Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation ICLR 2025 Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift ICLR 2025 Scaling Wearable Foundation Models ICLR 2025 ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference ICML 2025 Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints ICML 2025 CohEx: A Generalized Framework for Cohort Explanation AAAI 2025 Exploring the Better Multimodal Synergy Strategy for Vision-Language Models AAAI 2025 JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models SEMEVAL 2025 EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association ACL 2025 UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations ACL 2025 Substance over Style: Evaluating Proactive Conversational Coaching Agents ACL 2025 BIG-Bench Extra Hard ACL 2025 ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study ACL 2025 Whether LLMs Know If They Know: Identifying Knowledge Boundaries via Debiased Historical In-Context Learning ACL 2025 Beyond Generation: Leveraging LLM Creativity to Overcome Label Bias in Classification ACL 2025 MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models ACL 2025 JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models ACL 2025 Understanding Stragglers in Large Model Training Using What-if Analysis OSDI 2025 ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development NSDI 2025 On Preference-based Stochastic Linear Contextual Bandits with Knapsacks AISTATS 2025 HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks AISTATS 2025 Synonym-unaware Fast Adversarial Training against Textual Adversarial Attacks NAACL 2025 Refining Noisy Knowledge Graph with Large Language Models COLING 2025 Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack NAACL 2025 IHEval: Evaluating Language Models on Following the Instruction Hierarchy NAACL 2025 Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training NAACL 2025 VisCGEC: Benchmarking the Visual Chinese Grammatical Error Correction NAACL 2025 FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding CVPR 2025 No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition CVPR 2025 Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection CVPR 2025 ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning CVPR 2025 AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning CVPR 2025 Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model CVPR 2025 BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum EMNLP 2025 CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution CVPR 2025 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 On the Power of Optimism in Constrained Online Convex Optimization IJCAI 2025 No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks IJCAI 2025 DUQ: Dual Uncertainty Quantification for Text-Video Retrieval IJCAI 2025 Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units EMNLP 2025 Answer Convergence as a Signal for Early Stopping in Reasoning EMNLP 2025 VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts EMNLP 2025 PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving EMNLP 2025 PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving EMNLP 2025 Probing and Boosting Large Language Models Capabilities via Attention Heads EMNLP 2025 On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions EMNLP 2025 “What’s Up, Doc?”: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets EMNLP 2025 Personalized Question Answering with User Profile Generation and Compression EMNLP 2025 Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model AAAI 2025 Scene Graph-Grounded Image Generation AAAI 2025 Re-Attentional Controllable Video Diffusion Editing AAAI 2025 A Comprehensive Overhaul of Multimodal Assistant with Small Language Models AAAI 2025 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024 EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals AAAI 2024 TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation COLING 2024 AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors ECCV 2024 Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024 DiffFAS: Face Anti-Spoofing via Generative Diffusion Models ECCV 2024 MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models ECCV 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024 Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024 BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 2024 NVAutoNet: Fast and Accurate 360deg 3D Visual Perception for Self Driving WACV 2024 What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024 4K-Resolution Photo Exposure Correction at 125 FPS With ~8K Parameters WACV 2024 Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement WACV 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation ICLR 2024 LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses ICLR 2024 Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks IJCAI 2024 PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024 AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ACL 2024 Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation ACL 2024 CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning ACL 2024 URG: A Unified Ranking and Generation Method for Ensembling Language Models ACL 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph NAACL 2024 Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce EMNLP 2024 NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding EMNLP 2024 Safety of Multimodal Large Language Models on Images and Text IJCAI 2024 SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training NIPS 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024 Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NIPS 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NIPS 2024 MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding EMNLP 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data NIPS 2024 MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs NSDI 2024 Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations EACL 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Pudica: Toward Near-Zero Queuing Delay in Congestion Control for Cloud Gaming NSDI 2024 Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees JMLR 2024 A Lifelong Multilingual Multi-granularity Semantic Alignment Approach via Maximum Co-occurrence Probability COLING 2024 EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs COLING 2024 Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder COLING 2024 SimPer: Simple Self-Supervised Learning of Periodic Targets ICLR 2023 Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks NIPS 2023 Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting NIPS 2023 Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints NIPS 2023 Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns NIPS 2023 Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations NIPS 2023 rPPG-Toolbox: Deep Remote PPG Toolbox NIPS 2023 Self-Consistent Narrative Prompts on Abductive Natural Language Inference AACL 2023 BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases ACL 2023 DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition ACL 2023 FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery ACL 2023 Not The End of Story: An Evaluation of ChatGPT-Driven Vulnerability Description Mappings ACL 2023 DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction ACL 2023 KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking ACML 2023 Progressive Neighbor Consistency Mining for Correspondence Pruning CVPR 2023 IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models EMNLP 2023 Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection EMNLP 2023 CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering EMNLP 2023 QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering EMNLP 2023 C2ST: Cross-Modal Contextualized Sequence Transduction for Continuous Sign Language Recognition ICCV 2023 Objects Do Not Disappear: Video Object Detection by Single-Frame Object Location Anticipation ICCV 2023 Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023 Recognizable Information Bottleneck IJCAI 2023 Self-Consistent Narrative Prompts on Abductive Natural Language Inference IJCNLP 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints L4DC 2023 Empowering Azure Storage with RDMA NSDI 2023 MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-Shot Video Classification WACV 2023 EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement WACV 2023 Leaping through Time with Gradient-Based Adaptation for Recommendation AAAI 2022 Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching AAAI 2022 Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond NIPS 2022 KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation AAAI 2022 Getting the Most out of Simile Recognition EMNLP 2022 Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform EMNLP 2022 Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation NIPS 2022 GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization NIPS 2022 GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs ECCV 2022 Boosting Graph Structure Learning with Dummy Nodes ICML 2022 SCAMPS: Synthetics for Camera Measurement of Physiological Signals NIPS 2022 A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022 Diaformer: Automatic Diagnosis via Symptoms Sequence Generation AAAI 2022 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective IJCAI 2022 Self-Supervised Learning via Maximum Entropy Coding NIPS 2022 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation AISTATS 2022 On the Difficulty of Membership Inference Attacks CVPR 2021 iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis CVPR 2021 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans AAAI 2021 Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy CVPR 2021 CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021 No Frame Left Behind: Full Video Action Recognition CVPR 2021 Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning ACL 2021 Learning To Filter: Siamese Relation Network for Robust Tracking CVPR 2021 Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 2021 Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation ACL 2021 Exploring Discourse Structures for Argument Impact Classification ACL 2021 Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning AAAI 2021 Verification and Redesign of OFDM Backscatter NSDI 2021 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NIPS 2021 Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph EMNLP 2021 Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically EMNLP 2021 Exploring Discourse Structures for Argument Impact Classification IJCNLP 2021 Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation IJCNLP 2021 Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning IJCNLP 2021 A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning ICLR 2020 An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension IJCAI 2020 On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification IJCAI 2020 Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting ECCV 2020 Laplacian pyramid-based complex neural network learning for fast MR imaging MIDL 2020 MedWriter: Knowledge-Aware Medical Text Generation COLING 2020 VMscatter: A Versatile MIMO Backscatter NSDI 2020 Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement NIPS 2020 A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 Relation Discovery with Out-of-Relation Knowledge Base as Supervision NAACL 2019 AdaLinUCB: Opportunistic Learning for Contextual Bandits IJCAI 2019 A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification NAACL 2019 LCQMC:A Large-scale Chinese Question Matching Corpus COLING 2018 The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification EMNLP 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018 Biased Random Walk based Social Regularization for Word Embeddings IJCAI 2018 Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018 Learning User Dependencies for Recommendation IJCAI 2017 Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition ICCV 2017 Exploring the Context of Locations for Personalized Location Recommendations IJCAI 2016 Double Thompson Sampling for Dueling Bandits NIPS 2016 Modeling Users' Dynamic Preference for Personalized Recommendation IJCAI 2015 Data-Guided Approach for Learning and Improving User Experience in Computer Networks ACML 2015 Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits NIPS 2015