Xi Chen

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