Xu Chen

88 papers · 2012–2026 · 16 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (16) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13) 🗺️ Taxonomy Completionist (16) 🏆 Grand Slam 👑 Triple Crown 🏆 Keyword Champion 🤝 Dynamic Duo (12) 🌱 Topic Pioneer 🔬 Deep Specialist (10) 🧬 Topic Evolution 🚀 Conference Pioneer ❓ The Questioner ⚡ Prolific Year (11) 🗃️ Keyword Collector (362) 💎 Century Club (86) 📈 Trend Setter 🔥 Unstoppable (9)

Conferences

AAAI (12) ACL (11) CVPR (10) ICCV (8) ICML (8) EMNLP (7) ICLR (7) NIPS (6) ECCV (5) NAACL (4) IJCAI (3) MICCAI (3) AISTATS (1) COLING (1) NSDI (1) OSDI (1)

Top co-authors

Otmar Hilliges (12) Ji-Rong Wen (9) Lei Wang (9) Jie Song (8) Chengjie Wang (7) Yankai Lin (7) Jiangning Zhang (7) Quanyu Dai (6) Xueyang Feng (6) Zeyu Zhang (5)

Keywords

large language model (15) multi-agent system (7) generative model (6) 3d reconstruction (5) reinforcement learning (4) knowledge distillation (4) graph neural network (4) active learning (3) anomaly detection (3) explainable recommendation (3) novel view synthesis (3) 3d avatar (3) diffusion model (3) image generation (3) knowledge base (3) neural radiance field (3) few-shot learning (2) semi-supervised learning (2) adversarial learning (2) benchmark evaluation (2)

Papers

PHOTONS: Pose-Free Human-Centric Photo-Realistic Real-Time Novel View Synthesis from Sparse Views AAAI 2026

Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models AAAI 2026

Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025

Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification ICCV 2025

Enhancing Recommendation Explanations through User-Centric Refinement EMNLP 2025

Improving Retrospective Language Agents via Joint Policy Gradient Optimization NAACL 2025

SVFR: A Unified Framework for Generalized Video Face Restoration CVPR 2025

Unified Reconstruction of Static and Dynamic Scenes from Events CVPR 2025

TrInk: Ink Generation with Transformer Network EMNLP 2025

Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN NSDI 2025

XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification MICCAI 2025

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025

GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025

CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 2025

Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency MICCAI 2025

Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning ICML 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

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance ICML 2025

Incorporating Review-missing Interactions for Generative Explainable Recommendation COLING 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

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

Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition 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

Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection ICCV 2023

InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds CVPR 2023

Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy ICLR 2023

Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023

Offline Imitation Learning with Variational Counterfactual Reasoning NIPS 2023

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NIPS 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 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

Learning to Identify Top Elo Ratings: A Dueling Bandits Approach AAAI 2022

gDNA: Towards Generative Detailed Neural Avatars CVPR 2022

Neuron with Steady Response Leads to Better Generalization NIPS 2022

PINA: Learning a Personalized Implicit Neural Avatar From a Single RGB-D Video Sequence CVPR 2022

I M Avatar: Implicit Morphable Head Avatars From Videos CVPR 2022

TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning IJCAI 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

Shape-Aware Multi-Person Pose Estimation From Multi-View Images ICCV 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

Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition CVPR 2019

Monocular Neural Image Based Rendering With Continuous View Control ICCV 2019

Dynamic Explainable Recommendation Based on Neural Attentive Models AAAI 2019

Learning Active Contour Models for Medical Image Segmentation CVPR 2019

Fictitious GAN: Training GANs with Historical Models ECCV 2018

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision EMNLP 2018

Benefits from Superposed Hawkes Processes AISTATS 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