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Xin Liu

216 papers · 2015–2026 · 26 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 68 separate collaboration groups - the largest holds only 24% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Xin Liu?

28 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Daniel McDuff, Shwetak Patel, Jinsong Su 28 papers · 2020–2026 · EMNLP, NeurIPS, AAAI Hide ▲
OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo AAAI 2026 SDCs in the Wild: Characterizing and Diagnosing SDC-Defective GPUs in Production LLM Training (Operational Systems) OSDI 2026 Safeguarding LLM Training at Scale: Online SDC Detection and Insights from 35 Million GPU Hours OSDI 2026 BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum EMNLP 2025 Beyond Generation: Leveraging LLM Creativity to Overcome Label Bias in Classification ACL 2025 ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development NSDI 2025 Scaling Wearable Foundation Models ICLR 2025 Substance over Style: Evaluating Proactive Conversational Coaching Agents ACL 2025 Understanding Stragglers in Large Model Training Using What-if Analysis OSDI 2025 VocalAgent: Large Language Models for Vocal Health Diagnostics with Safety-Aware Evaluation Interspeech 2025 “What’s Up, Doc?”: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets EMNLP 2025 BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 2024 MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs NSDI 2024 Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement WACV 2024 SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training NeurIPS 2024 What Are the Odds? Language Models Are Capable of Probabilistic Reasoning EMNLP 2024 EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement WACV 2023 IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models EMNLP 2023 SimPer: Simple Self-Supervised Learning of Periodic Targets ICLR 2023 rPPG-Toolbox: Deep Remote PPG Toolbox NeurIPS 2023 GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization NeurIPS 2022 Getting the Most out of Simile Recognition EMNLP 2022 KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation AAAI 2022 SCAMPS: Synthetics for Camera Measurement of Physiological Signals NeurIPS 2022 Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation ACL 2021 A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020 An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension IJCAI 2020 Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement NeurIPS 2020
40 papers whose co-authors appear nowhere else under this name
Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation ACL 2026 C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation AAAI 2026 DPDV: Dual-Pathway and Dual-View Representation Learning for Bridging Information Asymmetry in Text-Video Retrieval ACL 2026 Enabling AI Network Cross-Layer Design and Operations with Arcadia: A Simulation Platform at Scale NSDI 2026 Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks 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 Scalable Trajectory Generation for Whole-Body Mobile Manipulation CVPR 2026 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 BIG-Bench Extra Hard ACL 2025 CohEx: A Generalized Framework for Cohort Explanation AAAI 2025 Exploiting Echo Path Priors for Enhanced Stereo Acoustic Echo Cancellation Interspeech 2025 FastUMI: A Scalable and Hardware-Independent Universal Manipulation Interface with Dataset CoRL 2025 GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation ICLR 2025 HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks AISTATS 2025 HWB-Net: A Novel High-Performance and Efficient Hybrid Waveform Bandwidth Extension Method Interspeech 2025 JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models SemEval 2025 MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models ACL 2025 Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift ICLR 2025 ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study ACL 2025 On Preference-based Stochastic Linear Contextual Bandits with Knapsacks AISTATS 2025 Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models EMNLP 2025 Refining Noisy Knowledge Graph with Large Language Models COLING 2025 Restoring Harmonics: Enhancing Speech Quality with Deep Mask and Harmonic Restoration Network Interspeech 2025 ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference ICML 2025 4K-Resolution Photo Exposure Correction at 125 FPS With ~8K Parameters WACV 2024 EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals AAAI 2024 NVAutoNet: Fast and Accurate 360deg 3D Visual Perception for Self Driving WACV 2024 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 C2ST: Cross-Modal Contextualized Sequence Transduction for Continuous Sign Language Recognition ICCV 2023 KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking ACML 2023 MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-Shot Video Classification WACV 2023 Not The End of Story: An Evaluation of ChatGPT-Driven Vulnerability Description Mappings ACL 2023 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective IJCAI 2022 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans AAAI 2021 Laplacian pyramid-based complex neural network learning for fast MR imaging MIDL 2020 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018 Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition ICCV 2017 Data-Guided Approach for Learning and Improving User Experience in Computer Networks ACML 2015 Modeling Users' Dynamic Preference for Personalized Recommendation IJCAI 2015

Venues · all papers under this name

EMNLP (28) AAAI (27) ACL (26) NeurIPS (20) IJCAI (17) CVPR (17) ICLR (9) NSDI (8) NAACL (8) ICML (7) COLING (7) WACV (6) ECCV (5) JMLR (5) ICCV (4) Interspeech (4) EACL (3) AISTATS (3) ACML (3) OSDI (3) CoRL (1) COLT (1) IJCNLP (1) L4DC (1) MIDL (1) SemEval (1)