Xi Chen

209 papers · 2009–2026 · 23 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (44) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (16) 🌍 Conference Polyglot (22) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (8) 🏠 Conference Loyalist (26) 🤝 Dynamic Duo (18) 👑 Triple Crown 🏆 Keyword Champion 🏆 Grand Slam 👥 Mega-Team (55) 🔬 Deep Specialist (22) 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (21) 🔥 Unstoppable (14) 🗃️ Keyword Collector (130) 💎 Century Club (203) 📈 Trend Setter ❓ The Questioner (2)

Conferences

NIPS (26) EMNLP (25) AAAI (22) CVPR (19) ICML (17) JMLR (13) ICLR (12) IJCAI (11) NAACL (11) ECCV (9) ACL (9) ICCV (8) IJCNLP (5) MICCAI (4) COLING (3) INTERSPEECH (3) AISTATS (3) COLT (2) SEMEVAL (2) WACV (2) EACL (1) CORL (1) NSDI (1)

Top co-authors

Ningyu Zhang (18) Hengshuang Zhao (16) Qingbin Liu (15) Yefeng Zheng (13) Huajun Chen (12) Radu Soricut (11) Pieter Abbeel (10) Dianbo Sui (10) Yuejia Xiang (9) Yanchao Hao (7)

Research topics

Optimization & Theory (1) Applications (1)

Keywords

large language model (19) relation extraction (12) language model (10) multimodal learning (8) image generation (7) regret bound (7) entity extraction (6) multi-armed bandit (6) diffusion model (6) model compression (5) stochastic optimization (5) representation learning (5) zero-shot learning (5) neural network (5) data augmentation (5) knowledge editing (5) image editing (5) self-supervised learning (4) attention mechanism (4) image captioning (4)

Papers

Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026

Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence AAAI 2026

ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction AAAI 2026

Sparse Adapter Fusion for Continual Learning in NLP EACL 2026

SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation AAAI 2026

How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding AAAI 2026

ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation MICCAI 2025

Testing Juntas and Junta Subclasses with Relative Error COLT 2025

VRoPE: Rotary Position Embedding for Video Large Language Models EMNLP 2025

ViLLa: Video Reasoning Segmentation with Large Language Model ICCV 2025

Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization EMNLP 2025

TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization ICML 2025

Task-wrapped Continual Learning in Task-Oriented Dialogue Systems NAACL 2025

Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025

Exploring the Impact of Personality Traits on LLM Bias and Toxicity EMNLP 2025

MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation CVPR 2025

MangaNinja: Line Art Colorization with Precise Reference Following CVPR 2025

EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation CVPR 2025

ObjectMover: Generative Object Movement with Video Prior CVPR 2025

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics CVPR 2025

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping CVPR 2025

NoT: Federated Unlearning via Weight Negation CVPR 2025

Online Video Understanding: OVBench and VideoChat-Online CVPR 2025

EnvGS: Modeling View-Dependent Appearance with Environment Gaussian CVPR 2025

DiffDoctor: Diagnosing Image Diffusion Models Before Treating ICCV 2025

Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding ICCV 2025

GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices ICCV 2025

Pragmatic Inference Chain (PIC) Improving LLMs’ Reasoning of Authentic Implicit Toxic Language EMNLP 2025

Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment Prediction NAACL 2025

Connector-S: A Survey of Connectors in Multi-modal Large Language Models IJCAI 2025

TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations AAAI 2025

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding AAAI 2025

HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking AAAI 2025

Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning EMNLP 2025

Enhancing LLM Knowledge Learning through Generalization EMNLP 2025

Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking AAAI 2025

Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025

The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025

Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025

Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection ICML 2025

FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning ICML 2025

Rethinking Time Encoding via Learnable Transformation Functions ICML 2025

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing IJCAI 2025

Prototype Conditioned Generative Replay for Continual Learning in NLP NAACL 2025

ScEdit: Script-based Assessment of Knowledge Editing ACL 2025

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation ACL 2025

TRACE: Temporal Grounding Video LLM via Causal Event Modeling ICLR 2025

CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction ICLR 2025

M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model EMNLP 2025

Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings EMNLP 2025

Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation MICCAI 2025

Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation ICLR 2024

Beyond Read-Only: Crafting a Comprehensive Chinese Text-to-SQL Dataset for Database Manipulation and Query NAACL 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging EMNLP 2024

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models EMNLP 2024

Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis MICCAI 2024

Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction MICCAI 2024

InstructEdit: Instruction-Based Knowledge Editing for Large Language Models IJCAI 2024

SyncVIS: Synchronized Video Instance Segmentation NIPS 2024

Zero-shot Image Editing with Reference Imitation NIPS 2024

Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NIPS 2024

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NIPS 2024

Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting IJCAI 2024

Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging AAAI 2024

Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations AAAI 2024

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training AAAI 2024

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024

Editing Language Model-Based Knowledge Graph Embeddings AAAI 2024

Rethinking Generative Large Language Model Evaluation for Semantic Comprehension ICML 2024

Understanding the Training Speedup from Sampling with Approximate Losses ICML 2024

LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models ACL 2024

Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise ICML 2024

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets ICLR 2024

Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information COLING 2024

Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time ICLR 2024

Unveiling the Pitfalls of Knowledge Editing for Large Language Models ICLR 2024

PolyVoice: Language Models for Speech to Speech Translation ICLR 2024

Triplet Attention Transformer for Spatiotemporal Predictive Learning WACV 2024

Klonet: an Easy-to-Use and Scalable Platform for Computer Networks Education NSDI 2024

On Scaling Up a Multilingual Vision and Language Model CVPR 2024

PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding CVPR 2024

Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation CVPR 2024

AnyDoor: Zero-shot Object-level Image Customization CVPR 2024

Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment ECCV 2024

LivePhoto: Real Image Animation with Text-guided Motion Control ECCV 2024

Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment ECCV 2024

LogoSticker: Inserting Logos into Diffusion Models for Customized Generation ECCV 2024

IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination ECCV 2024

OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation ECCV 2024

Boosting Multi-agent Reinforcement Learning via Contextual Prompting JMLR 2023

TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation NIPS 2023

Uni3DETR: Unified 3D Detection Transformer NIPS 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control CORL 2023

FreeEnricher: Enriching Face Landmarks without Additional Cost AAAI 2023

Supervised Contrastive Few-Shot Learning for High-Frequency Time Series AAAI 2023

Class Lifelong Learning for Intent Detection via Structure Consolidation Networks ACL 2023

Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation CVPR 2023

Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization CVPR 2023

Detecting Everything in the Open World: Towards Universal Object Detection CVPR 2023

Can We Edit Multimodal Large Language Models? EMNLP 2023

A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation EMNLP 2023

MaXM: Towards Multilingual Visual Question Answering EMNLP 2023

Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning EMNLP 2023

Schema-adaptable Knowledge Graph Construction EMNLP 2023

Open-vocabulary Panoptic Segmentation with Embedding Modulation ICCV 2023

Understanding Hessian Alignment for Domain Generalization ICCV 2023

PreSTU: Pre-Training for Scene-Text Understanding ICCV 2023

PaLI: A Jointly-Scaled Multilingual Language-Image Model ICLR 2023

2D-Shapley: A Framework for Fragmented Data Valuation ICML 2023

Hyperspherical Quantization: Toward Smaller and More Accurate Models WACV 2023

SemEval-2022 Task 8: Multilingual news article similarity NAACL 2022

PAC-Bayes Information Bottleneck ICLR 2022

All You May Need for VQA are Image Captions NAACL 2022

Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms IJCAI 2022

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text EMNLP 2022

LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning NIPS 2022

Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset EMNLP 2022

Finding Influential Instances for Distantly Supervised Relation Extraction COLING 2022

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks ECCV 2022

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction ECCV 2022

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study EMNLP 2022

FocalClick: Towards Practical Interactive Image Segmentation CVPR 2022

SemEval-2022 Task 8: Multilingual news article similarity SEMEVAL 2022

No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022

Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022

Domain-specific knowledge distillation yields smaller and better models for conversational commerce ACL 2022

Learning and testing junta distributions with sub cube conditioning COLT 2021

Feature Fusion by Attention Networks for Robust DOA Estimation INTERSPEECH 2021

Adversarial Combinatorial Bandits with General Non-linear Reward Functions ICML 2021

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding ACL 2021

Tight Regret Bounds for Infinite-armed Linear Contextual Bandits AISTATS 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction ACL 2021

A Three-step Method for Multi-Hop Inference Explanation Regeneration NAACL 2021

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021

Field Embedding: A Unified Grain-Based Framework for Word Representation NAACL 2021

Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions JMLR 2021

Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding IJCAI 2021

Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining IJCAI 2021

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse ACL 2021

Building Goal-oriented Document-grounded Dialogue Systems ACL 2021

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse SEMEVAL 2021

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning NIPS 2021

Generalized DataWeighting via Class-Level Gradient Manipulation NIPS 2021

Conditional Diffusion for Interactive Segmentation ICCV 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction IJCNLP 2021

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding IJCNLP 2021

Building Goal-oriented Document-grounded Dialogue Systems IJCNLP 2021

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse IJCNLP 2021

F0 Patterns in Mandarin Statements of Mandarin and Cantonese Speakers INTERSPEECH 2020

Dynamic Assortment Optimization with Changing Contextual Information JMLR 2020

Distributed High-dimensional Regression Under a Quantile Loss Function JMLR 2020

On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020

State-Aware Tracker for Real-Time Video Object Segmentation CVPR 2020

Resolution Adaptive Networks for Efficient Inference CVPR 2020

An Industry Evaluation of Embedding-based Entity Alignment COLING 2020

Thresholding Bandit Problem with Both Duels and Pulls AISTATS 2020

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NIPS 2020

Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm NIPS 2020

Hedging in games: Faster convergence of external and swap regrets NIPS 2020

Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention EMNLP 2020

Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract) AAAI 2020

Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020

Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020

SiamBOMB: A Real-time AI-based System for Home-cage Animal Tracking, Segmentation and Behavioral Analysis IJCAI 2020

Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance EMNLP 2020

Transformer with Bidirectional Decoder for Speech Recognition INTERSPEECH 2020

UER: An Open-Source Toolkit for Pre-training Models EMNLP 2019

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design ICML 2019

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules ICML 2019

Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant AAAI 2019

UER: An Open-Source Toolkit for Pre-training Models IJCNLP 2019

Distributed Inference for Linear Support Vector Machine JMLR 2019

Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NIPS 2019

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks NAACL 2019

Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features NAACL 2019

A Simple Neural Attentive Meta-Learner ICLR 2018

Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding EMNLP 2018

Parameter Space Noise for Exploration ICLR 2018

META LEARNING SHARED HIERARCHIES ICLR 2018

Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NIPS 2018

PixelSNAIL: An Improved Autoregressive Generative Model ICML 2018

Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction EMNLP 2018

Stacked Cross Attention for Image-Text Matching ECCV 2018

Adaptive Multiple-Arm Identification ICML 2017

Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016

Benchmarking Deep Reinforcement Learning for Continuous Control ICML 2016

Improved Variational Inference with Inverse Autoregressive Flow NIPS 2016

VIME: Variational Information Maximizing Exploration NIPS 2016

Improved Techniques for Training GANs NIPS 2016

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets NIPS 2016

On the Recursive Teaching Dimension of VC Classes NIPS 2016

On Bayes Risk Lower Bounds JMLR 2016

Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing JMLR 2016

Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling JMLR 2015

Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015

Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data IJCAI 2015

Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014

Variance Reduction for Stochastic Gradient Optimization NIPS 2013

Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing ICML 2013

Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012

Structured Sparse Canonical Correlation Analysis AISTATS 2012

Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NIPS 2012

Graph-Valued Regression NIPS 2010

Multivariate Dyadic Regression Trees for Sparse Learning Problems NIPS 2010

Nonparametric Greedy Algorithms for the Sparse Learning Problem NIPS 2009