← Authors

Xin Liu

206 papers · 2015–2026 · 26 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🌍 Conference Polyglot (26) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (37) 🏠 Conference Loyalist (20) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (24) 🀝 Dynamic Duo (32) πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter πŸ’Ž Century Club (195) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (111) ⚑ Prolific Year (19)

Conferences

EMNLP (28) AAAI (27) ACL (23) NIPS (20) IJCAI (17) CVPR (15) ICLR (9) NAACL (8) COLING (7) ICML (7) WACV (6) NSDI (6) ECCV (5) JMLR (4) IJCNLP (4) ICCV (4) ACML (3) AISTATS (3) EACL (3) L4DC (1) MIDL (1) AACL (1) COLT (1) OSDI (1) SEMEVAL (1) CORL (1)

Top co-authors

Yangqiu Song (33) Weiqi Wang (14) Daniel McDuff (11) Zheng Li (10) Bing Yin (10) Tianqing Fang (9) Chunkit Chan (9) Jiaxin Bai (9) Yifan Gao (8) Lei Ying (8)

Research topics

Reasoning (1) Privacy (1)

Keywords

large language model (30) graph neural network (13) regret bound (11) language model (11) representation learning (9) question answering (9) multimodal learning (8) zero-shot learning (7) knowledge graph (6) text classification (6) constraint violation (6) knowledge distillation (5) attention mechanism (5) instruction tuning (5) commonsense reasoning (5) diffusion model (4) temporal modeling (4) policy optimization (4) safe reinforcement learning (4) reinforcement learning (4)

Papers

OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo 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
KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference AAAI 2026
EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026
Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection AAAI 2026
Collaborative Feature Matching with Progressive Correspondence Learning AAAI 2026
CΒ³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026
Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models AAAI 2026
DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing AAAI 2026
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing ICCV 2025
Scaling Wearable Foundation Models ICLR 2025
FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset CORL 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
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models SEMEVAL 2025
Understanding Stragglers in Large Model Training Using What-if Analysis OSDI 2025
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving 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
β€œWhat’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
BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum EMNLP 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
Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints ICML 2025
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data ICML 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
CohEx: A Generalized Framework for Cohort Explanation AAAI 2025
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models AAAI 2025
ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development NSDI 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
Synonym-unaware Fast Adversarial Training against Textual Adversarial Attacks NAACL 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
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
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
Refining Noisy Knowledge Graph with Large Language Models COLING 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
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
STDD: Spatio-Temporal Dual Diffusion for Video Generation CVPR 2025
CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution CVPR 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
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints ICML 2025
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference ICML 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
Probing and Boosting Large Language Models Capabilities via Attention Heads EMNLP 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
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models ECCV 2024
Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024
AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph NAACL 2024
Safety of Multimodal Large Language Models on Images and Text IJCAI 2024
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees JMLR 2024
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs NSDI 2024
Pudica: Toward Near-Zero Queuing Delay in Congestion Control for Cloud Gaming NSDI 2024
NVAutoNet: Fast and Accurate 360deg 3D Visual Perception for Self Driving WACV 2024
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 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
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
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024
Convergence Analysis of Split Federated Learning on Heterogeneous Data NIPS 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024
Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks IJCAI 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
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
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses ICLR 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
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors ECCV 2024
DiffFAS: Face Anti-Spoofing via Generative Diffusion Models ECCV 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
Objects Do Not Disappear: Video Object Detection by Single-Frame Object Location Anticipation ICCV 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 DemoirΓ©ing 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
SimPer: Simple Self-Supervised Learning of Periodic Targets ICLR 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
Boosting Graph Structure Learning with Dummy Nodes ICML 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
Leaping through Time with Gradient-Based Adaptation for Recommendation AAAI 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
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform EMNLP 2022
Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation AISTATS 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective IJCAI 2022
SCAMPS: Synthetics for Camera Measurement of Physiological Signals NIPS 2022
Self-Supervised Learning via Maximum Entropy Coding NIPS 2022
Getting the Most out of Simile Recognition EMNLP 2022
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond NIPS 2022
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching AAAI 2022
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs ECCV 2022
KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation AAAI 2022
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy CVPR 2021
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey IJCAI 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
On the Difficulty of Membership Inference Attacks CVPR 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
iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis CVPR 2021
No Frame Left Behind: Full Video Action Recognition CVPR 2021
Learning To Filter: Siamese Relation Network for Robust Tracking CVPR 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021
Verification and Redesign of OFDM Backscatter NSDI 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NIPS 2021
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning ACL 2021
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation ACL 2021
Exploring Discourse Structures for Argument Impact Classification ACL 2021
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans AAAI 2021
Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning AAAI 2021
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification IJCAI 2020
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning ICLR 2020
MedWriter: Knowledge-Aware Medical Text Generation COLING 2020
IPO: Interior-Point Policy Optimization under Constraints AAAI 2020
Laplacian pyramid-based complex neural network learning for fast MR imaging MIDL 2020
A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting ECCV 2020
VMscatter: A Versatile MIMO Backscatter NSDI 2020
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement NIPS 2020
An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension IJCAI 2020
AdaLinUCB: Opportunistic Learning for Contextual Bandits IJCAI 2019
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification NAACL 2019
Relation Discovery with Out-of-Relation Knowledge Base as Supervision NAACL 2019
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification EMNLP 2018
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 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
LCQMC:A Large-scale Chinese Question Matching Corpus COLING 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
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
Modeling Users' Dynamic Preference for Personalized Recommendation IJCAI 2015