Xi Chen
214 papers · 2009–2026 · 23 conferences · across top CS/AI conferences
Achievements
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NIPS (26)
EMNLP (25)
AAAI (22)
CVPR (19)
ICML (17)
ACL (14)
JMLR (13)
ICLR (12)
IJCAI (11)
NAACL (11)
ECCV (9)
ICCV (8)
IJCNLP (5)
MICCAI (4)
INTERSPEECH (3)
COLING (3)
AISTATS (3)
COLT (2)
SEMEVAL (2)
WACV (2)
EACL (1)
CORL (1)
NSDI (1)
Top co-authors
Research topics
Keywords
large language model
(21)
relation extraction
(12)
language model
(10)
multimodal learning
(10)
image generation
(7)
regret bound
(7)
diffusion model
(6)
entity extraction
(6)
knowledge editing
(6)
multi-armed bandit
(6)
model compression
(5)
stochastic optimization
(5)
representation learning
(5)
neural network
(5)
zero-shot learning
(5)
data augmentation
(5)
image editing
(5)
contrastive learning
(4)
self-supervised learning
(4)
attention mechanism
(4)
Papers
Sparse Adapter Fusion for Continual Learning in NLP
EACL 2026
TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery
ACL 2026
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
ACL 2026
All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
ACL 2026
Editing the Moving World: Model Editing for Video LLMs
ACL 2026
GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
ACL 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
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
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
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
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
ACL 2025
ScEdit: Script-based Assessment of Knowledge Editing
ACL 2025
Testing Juntas and Junta Subclasses with Relative Error
COLT 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
Exploring the Impact of Personality Traits on LLM Bias and Toxicity
EMNLP 2025
Pragmatic Inference Chain (PIC) Improving LLMsβ Reasoning of Authentic Implicit Toxic Language
EMNLP 2025
Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity
EMNLP 2025
Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization
EMNLP 2025
VRoPE: Rotary Position Embedding for Video Large Language Models
EMNLP 2025
Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
EMNLP 2025
M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model
EMNLP 2025
Enhancing LLM Knowledge Learning through Generalization
EMNLP 2025
Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning
EMNLP 2025
GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices
ICCV 2025
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding
ICCV 2025
DiffDoctor: Diagnosing Image Diffusion Models Before Treating
ICCV 2025
ViLLa: Video Reasoning Segmentation with Large Language Model
ICCV 2025
CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction
ICLR 2025
TRACE: Temporal Grounding Video LLM via Causal Event Modeling
ICLR 2025
Rethinking Time Encoding via Learnable Transformation Functions
ICML 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
ICML 2025
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
ICML 2025
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
ICML 2025
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
IJCAI 2025
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation
MICCAI 2025
Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation
MICCAI 2025
Prototype Conditioned Generative Replay for Continual Learning in NLP
NAACL 2025
Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment Prediction
NAACL 2025
Task-wrapped Continual Learning in Task-Oriented Dialogue Systems
NAACL 2025
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
EMNLP 2024
Klonet: an Easy-to-Use and Scalable Platform for Computer Networks Education
NSDI 2024
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
ICLR 2024
Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation
CVPR 2024
LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models
ACL 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
Rethinking Generative Large Language Model Evaluation for Semantic Comprehension
ICML 2024
SyncVIS: Synchronized Video Instance Segmentation
NIPS 2024
Zero-shot Image Editing with Reference Imitation
NIPS 2024
Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information
COLING 2024
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
NIPS 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
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
NIPS 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
Beyond Read-Only: Crafting a Comprehensive Chinese Text-to-SQL Dataset for Database Manipulation and Query
NAACL 2024
Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging
AAAI 2024
Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations
AAAI 2024
Triplet Attention Transformer for Spatiotemporal Predictive Learning
WACV 2024
Editing Language Model-Based Knowledge Graph Embeddings
AAAI 2024
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
AAAI 2024
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
AAAI 2024
AnyDoor: Zero-shot Object-level Image Customization
CVPR 2024
PolyVoice: Language Models for Speech to Speech Translation
ICLR 2024
Unveiling the Pitfalls of Knowledge Editing for Large Language Models
ICLR 2024
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
ICLR 2024
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
ICLR 2024
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
IJCAI 2024
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
IJCAI 2024
Aligning and Restoring Imperfect ssEM images for Continuity Reconstruction
MICCAI 2024
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis
MICCAI 2024
Understanding the Training Speedup from Sampling with Approximate Losses
ICML 2024
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
ICML 2024
Hyperspherical Quantization: Toward Smaller and More Accurate Models
WACV 2023
Uni3DETR: Unified 3D Detection Transformer
NIPS 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
PaLI: A Jointly-Scaled Multilingual Language-Image Model
ICLR 2023
Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning
EMNLP 2023
Schema-adaptable Knowledge Graph Construction
EMNLP 2023
PreSTU: Pre-Training for Scene-Text Understanding
ICCV 2023
Supervised Contrastive Few-Shot Learning for High-Frequency Time Series
AAAI 2023
2D-Shapley: A Framework for Fragmented Data Valuation
ICML 2023
Understanding Hessian Alignment for Domain Generalization
ICCV 2023
Boosting Multi-agent Reinforcement Learning via Contextual Prompting
JMLR 2023
Open-vocabulary Panoptic Segmentation with Embedding Modulation
ICCV 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CORL 2023
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation
CVPR 2023
FreeEnricher: Enriching Face Landmarks without Additional Cost
AAAI 2023
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
CVPR 2023
Detecting Everything in the Open World: Towards Universal Object Detection
CVPR 2023
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks
ACL 2023
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
NIPS 2023
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset
EMNLP 2022
Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms
IJCAI 2022
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling
JMLR 2022
No Weighted-Regret Learning in Adversarial Bandits with Delays
JMLR 2022
Finding Influential Instances for Distantly Supervised Relation Extraction
COLING 2022
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
ECCV 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
ECCV 2022
Domain-specific knowledge distillation yields smaller and better models for conversational commerce
ACL 2022
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
EMNLP 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
EMNLP 2022
All You May Need for VQA are Image Captions
NAACL 2022
SemEval-2022 Task 8: Multilingual news article similarity
NAACL 2022
SemEval-2022 Task 8: Multilingual news article similarity
SEMEVAL 2022
PAC-Bayes Information Bottleneck
ICLR 2022
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
NIPS 2022
FocalClick: Towards Practical Interactive Image Segmentation
CVPR 2022
Feature Fusion by Attention Networks for Robust DOA Estimation
INTERSPEECH 2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
ACL 2021
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
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
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining
IJCAI 2021
Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions
JMLR 2021
Building Goal-oriented Document-grounded Dialogue Systems
ACL 2021
Adversarial Combinatorial Bandits with General Non-linear Reward Functions
ICML 2021
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse
ACL 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
JMLR 2021
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits
AISTATS 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
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
Learning and testing junta distributions with sub cube conditioning
COLT 2021
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
IJCAI 2021
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse
SEMEVAL 2021
Conditional Diffusion for Interactive Segmentation
ICCV 2021
An Industry Evaluation of Embedding-based Entity Alignment
COLING 2020
Resolution Adaptive Networks for Efficient Inference
CVPR 2020
State-Aware Tracker for Real-Time Video Object Segmentation
CVPR 2020
Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention
EMNLP 2020
Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance
EMNLP 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
Transformer with Bidirectional Decoder for Speech Recognition
INTERSPEECH 2020
F0 Patterns in Mandarin Statements of Mandarin and Cantonese Speakers
INTERSPEECH 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
Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract)
AAAI 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics
JMLR 2020
Distributed High-dimensional Regression Under a Quantile Loss Function
JMLR 2020
Dynamic Assortment Optimization with Changing Contextual Information
JMLR 2020
Thresholding Bandit Problem with Both Duels and Pulls
AISTATS 2020
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
NAACL 2019
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant
AAAI 2019
UER: An Open-Source Toolkit for Pre-training Models
EMNLP 2019
Distributed Inference for Linear Support Vector Machine
JMLR 2019
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback
NIPS 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
ICML 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
ICML 2019
UER: An Open-Source Toolkit for Pre-training Models
IJCNLP 2019
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features
NAACL 2019
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
EMNLP 2018
PixelSNAIL: An Improved Autoregressive Generative Model
ICML 2018
Stacked Cross Attention for Image-Text Matching
ECCV 2018
A Simple Neural Attentive Meta-Learner
ICLR 2018
META LEARNING SHARED HIERARCHIES
ICLR 2018
Parameter Space Noise for Exploration
ICLR 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
NIPS 2018
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
EMNLP 2018
Adaptive Multiple-Arm Identification
ICML 2017
Improved Techniques for Training GANs
NIPS 2016
VIME: Variational Information Maximizing Exploration
NIPS 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
NIPS 2016
Benchmarking Deep Reinforcement Learning for Continuous Control
ICML 2016
On the Recursive Teaching Dimension of VC Classes
NIPS 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing
JMLR 2016
Improved Variational Inference with Inverse Autoregressive Flow
NIPS 2016
On Bayes Risk Lower Bounds
JMLR 2016
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing
JMLR 2016
Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data
IJCAI 2015
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing
ICML 2015
Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling
JMLR 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
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk
NIPS 2012
Structured Sparse Canonical Correlation Analysis
AISTATS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization
NIPS 2012
Multivariate Dyadic Regression Trees for Sparse Learning Problems
NIPS 2010
Graph-Valued Regression
NIPS 2010
Nonparametric Greedy Algorithms for the Sparse Learning Problem
NIPS 2009