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Xi Chen

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

Achievements

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+18 more ↓ πŸ—ΊοΈ Taxonomy Completionist (44) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (8) 🏠 Conference Loyalist (26) 🀝 Dynamic Duo (18) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ‘₯ Mega-Team (55) πŸ”¬ Deep Specialist (22) 🧬 Topic Evolution πŸš€ Conference Pioneer ⚑ Prolific Year (21) πŸ”₯ Unstoppable (14) πŸ—ƒοΈ Keyword Collector (130) πŸ’Ž Century Club (203) πŸ“ˆ Trend Setter ❓ The Questioner (2)

Conferences

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)

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 LLMs’ 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