Xu Chen

Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement ACL 2026 PHOTONS: Pose-Free Human-Centric Photo-Realistic Real-Time Novel View Synthesis from Sparse Views AAAI 2026 RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository ACL 2026 Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models AAAI 2026 SVFR: A Unified Framework for Generalized Video Face Restoration CVPR 2025 Unified Reconstruction of Static and Dynamic Scenes from Events CVPR 2025 Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification ICCV 2025 Enhancing Recommendation Explanations through User-Centric Refinement EMNLP 2025 TrInk: Ink Generation with Transformer Network EMNLP 2025 CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 2025 Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN NSDI 2025 TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025 Improving Retrospective Language Agents via Joint Policy Gradient Optimization NAACL 2025 XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification MICCAI 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 Investigating and Extending Homans’ Social Exchange Theory with Large Language Model based Agents ACL 2025 Cool-Fusion: Fuse Large Language Models without Training ACL 2025 LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025 Chain of Methodologies: Scaling Test Time Computation without Training ACL 2025 Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent ACL 2025 KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding ACL 2025 Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation ACL 2025 MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents ACL 2025 Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency MICCAI 2025 Incorporating Review-missing Interactions for Generative Explainable Recommendation COLING 2025 Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning ICML 2025 MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance ICML 2025 Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback ICLR 2025 Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation ICLR 2025 MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents ICLR 2025 Optimal Transport for Time Series Imputation ICLR 2025 Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025 GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025 A Diffusion-Based Framework for Multi-Class Anomaly Detection AAAI 2024 Reflective Multi-Agent Collaboration based on Large Language Models NIPS 2024 Text-to-Image Generation for Abstract Concepts AAAI 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024 AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model AAAI 2024 Efficient Online Crowdsourcing with Complex Annotations AAAI 2024 Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries AAAI 2024 Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024 HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video CVPR 2024 Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models ECCV 2024 Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control ECCV 2024 Towards Tool Use Alignment of Large Language Models EMNLP 2024 Large Language Model-based Human-Agent Collaboration for Complex Task Solving EMNLP 2024 Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024 Debiased Collaborative Filtering with Kernel-Based Causal Balancing ICLR 2024 Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization ICML 2024 Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering ICML 2024 Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains ICML 2024 Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm ICML 2024 SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement MICCAI 2024 Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NIPS 2023 Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy ICLR 2023 To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023 InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds CVPR 2023 AG3D: Learning to Generate 3D Avatars from 2D Image Collections ICCV 2023 Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption ICCV 2023 Offline Imitation Learning with Variational Counterfactual Reasoning NIPS 2023 Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection ICCV 2023 Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition CVPR 2023 Joint Semantic and Strategy Matching for Persuasive Dialogue EMNLP 2023 FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework IJCAI 2022 PINA: Learning a Personalized Implicit Neural Avatar From a Single RGB-D Video Sequence CVPR 2022 Learning to Identify Top Elo Ratings: A Dueling Bandits Approach AAAI 2022 Neuron with Steady Response Leads to Better Generalization NIPS 2022 I M Avatar: Implicit Morphable Head Avatars From Videos CVPR 2022 gDNA: Towards Generative Detailed Neural Avatars CVPR 2022 Shape-Aware Multi-Person Pose Estimation From Multi-View Images ICCV 2021 Unified Robust Semi-Supervised Variational Autoencoder ICML 2021 Estimating $α$-Rank from A Few Entries with Low Rank Matrix Completion ICML 2021 HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping IJCAI 2021 TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning IJCAI 2021 SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes ICCV 2021 Human Body Model Fitting by Learned Gradient Descent ECCV 2020 AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020 Category Level Object Pose Estimation via Neural Analysis-by-Synthesis ECCV 2020 Learning Active Contour Models for Medical Image Segmentation CVPR 2019 Dynamic Explainable Recommendation Based on Neural Attentive Models AAAI 2019 Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition CVPR 2019 Monocular Neural Image Based Rendering With Continuous View Control ICCV 2019 Benefits from Superposed Hawkes Processes AISTATS 2018 Fictitious GAN: Training GANs with Historical Models ECCV 2018 Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision EMNLP 2018 TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN ICLR 2018 Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding ACL 2017 Unsupervised Deep Haar Scattering on Graphs NIPS 2014 COMET: Code Offload by Migrating Execution Transparently OSDI 2012