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Xi Chen

217 papers · 2009–2026 · 22 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 71 separate collaboration groups - the largest holds only 20% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Xi Chen?

21 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 Ningyu Zhang, Qingbin Liu, Huajun Chen 43 papers · 2018–2026 · EMNLP, ACL, AAAI Hide ▲
Editing the Moving World: Model Editing for Video LLMs ACL 2026 GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery ACL 2026 Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence AAAI 2026 TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery ACL 2026 Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning EMNLP 2025 HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking AAAI 2025 M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model EMNLP 2025 Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking AAAI 2025 ScEdit: Script-based Assessment of Knowledge Editing ACL 2025 TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations AAAI 2025 TRACE: Temporal Grounding Video LLM via Causal Event Modeling ICLR 2025 VRoPE: Rotary Position Embedding for Video Large Language Models EMNLP 2025 VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding AAAI 2025 Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information COLING 2024 Editing Language Model-Based Knowledge Graph Embeddings AAAI 2024 InstructEdit: Instruction-Based Knowledge Editing for Large Language Models IJCAI 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NeurIPS 2024 Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting IJCAI 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 Unveiling the Pitfalls of Knowledge Editing for Large Language Models ICLR 2024 A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation EMNLP 2023 Can We Edit Multimodal Large Language Models? EMNLP 2023 Class Lifelong Learning for Intent Detection via Structure Consolidation Networks ACL 2023 Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning EMNLP 2023 Schema-adaptable Knowledge Graph Construction EMNLP 2023 Finding Influential Instances for Distantly Supervised Relation Extraction COLING 2022 PAC-Bayes Information Bottleneck ICLR 2022 Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study EMNLP 2022 A Three-step Method for Multi-Hop Inference Explanation Regeneration NAACL 2021 CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse SemEval 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining IJCAI 2021 Field Embedding: A Unified Grain-Based Framework for Word Representation NAACL 2021 Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021 OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding ACL 2021 PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction ACL 2021 Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding IJCAI 2021 An Industry Evaluation of Embedding-based Entity Alignment COLING 2020 Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NeurIPS 2020 Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention EMNLP 2020 Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks NAACL 2019 Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction EMNLP 2018 Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding EMNLP 2018
50 papers whose co-authors appear nowhere else under this name
APPO: Attention-guided Perception Policy Optimization for Video Reasoning CVPR 2026 ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction AAAI 2026 How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding AAAI 2026 OVOD-Agent: A Markov-Bandit Framework for Proactive Visual Reasoning and Self-Evolving Detection CVPR 2026 Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026 Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025 ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation MICCAI 2025 Connector-S: A Survey of Connectors in Multi-modal Large Language Models IJCAI 2025 Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment Prediction NAACL 2025 EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation CVPR 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 NoT: Federated Unlearning via Weight Negation CVPR 2025 Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach Interspeech 2025 Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025 Testing Juntas and Junta Subclasses with Relative Error COLT 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection ICML 2025 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 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training AAAI 2024 Klonet: an Easy-to-Use and Scalable Platform for Computer Networks Education NSDI 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 2D-Shapley: A Framework for Fragmented Data Valuation ICML 2023 Boosting Multi-agent Reinforcement Learning via Contextual Prompting JMLR 2023 Supervised Contrastive Few-Shot Learning for High-Frequency Time Series AAAI 2023 Domain-specific knowledge distillation yields smaller and better models for conversational commerce ACL 2022 SemEval-2022 Task 8: Multilingual news article similarity SemEval 2022 Building Goal-oriented Document-grounded Dialogue Systems ACL 2021 Feature Fusion by Attention Networks for Robust DOA Estimation Interspeech 2021 Learning and testing junta distributions with sub cube conditioning COLT 2021 Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions JMLR 2021 F0 Patterns in Mandarin Statements of Mandarin and Cantonese Speakers Interspeech 2020 Hedging in games: Faster convergence of external and swap regrets NeurIPS 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract) AAAI 2020 Resolution Adaptive Networks for Efficient Inference CVPR 2020 Thresholding Bandit Problem with Both Duels and Pulls AISTATS 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020 Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant AAAI 2019 Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features NAACL 2019 UER: An Open-Source Toolkit for Pre-training Models EMNLP 2019 Stacked Cross Attention for Image-Text Matching ECCV 2018 On the Recursive Teaching Dimension of VC Classes NeurIPS 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 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Structured Sparse Canonical Correlation Analysis AISTATS 2012

Venues · all papers under this name

CVPR (28) NeurIPS (26) EMNLP (25) AAAI (22) ICML (17) ACL (13) JMLR (13) ICLR (12) IJCAI (11) NAACL (10) ECCV (9) ICCV (8) Interspeech (4) MICCAI (4) COLING (3) AISTATS (3) COLT (2) SemEval (2) WACV (2) EACL (1) CoRL (1) NSDI (1)