Xin Chen

MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training ACL 2026 BaseCal: Unsupervised Confidence Calibration via Base Model Signals ACL 2026 LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance ACL 2026 MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks ACL 2026 Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers ACL 2026 Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026 G-IR: Geometric Image Representation for Learning AAAI 2026 PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis AAAI 2026 MikuDance: Animating Character Art with Mixed Motion Dynamics ICCV 2025 La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation ICML 2025 X-Dancer: Expressive Music to Human Dance Video Generation ICCV 2025 Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025 Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning EMNLP 2025 ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection ICCV 2025 SUTrack: Towards Simple and Unified Single Object Tracking AAAI 2025 Exploring Enhanced Contextual Information for Video-Level Object Tracking AAAI 2025 Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation CVPR 2025 MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D CVPR 2025 Learning Safety Constraints for Large Language Models ICML 2025 ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps AAAI 2025 Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks MICCAI 2025 E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation MICCAI 2025 Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking AAAI 2025 Efficient Motion Prompt Learning for Robust Visual Tracking ICML 2025 Disentangled Graph Spectral Domain Adaptation ICML 2025 CohEx: A Generalized Framework for Cohort Explanation AAAI 2025 From Generalist to Specialist: A Survey of Large Language Models for Chemistry COLING 2025 TapMo: Shape-aware Motion Generation of Skeleton-free Characters ICLR 2024 MotionChain: Conversational Motion Controllers via Multimodal Prompts ECCV 2024 To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now ECCV 2024 M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions ECCV 2024 MeshXL: Neural Coordinate Field for Generative 3D Foundation Models NIPS 2024 Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures NIPS 2024 PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation AAAI 2024 Plug-In Diffusion Model for Sequential Recommendation AAAI 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024 Learning to Maximize Mutual Information for Chain-of-Thought Distillation ACL 2024 Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024 Gradient descent in matrix factorization: Understanding large initialization UAI 2024 LocMoE: A Low-overhead MoE for Large Language Model Training IJCAI 2024 Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NIPS 2024 3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection NIPS 2024 CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data CVPR 2024 LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and Planning CVPR 2024 OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers CVPR 2024 Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models CVPR 2024 QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models ICLR 2024 Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023 PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation NIPS 2023 MotionGPT: Human Motion as a Foreign Language NIPS 2023 Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation NIPS 2023 Executing Your Commands via Motion Diffusion in Latent Space CVPR 2023 SeqTrack: Sequence to Sequence Learning for Visual Object Tracking CVPR 2023 End-to-End 3D Dense Captioning With Vote2Cap-DETR CVPR 2023 Visual Prompt Multi-Modal Tracking CVPR 2023 Text-Visual Prompting for Efficient 2D Temporal Video Grounding CVPR 2023 Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking ICCV 2023 A Large-Scale Outdoor Multi-Modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction ICCV 2023 CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans ICCV 2023 Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval ICCV 2023 Sketched Ridgeless Linear Regression: The Role of Downsampling ICML 2023 ETR: An Efficient Transformer for Re-Ranking in Visual Place Recognition WACV 2023 Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation CVPR 2022 AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees EMNLP 2022 Contrastive Deep Supervision ECCV 2022 Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting AAAI 2022 Cornerformer: Purifying Instances for Corner-Based Detectors ECCV 2022 Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022 Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters ICML 2022 Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search CVPR 2022 On the Bias-Variance-Cost Tradeoff of Stochastic Optimization NIPS 2021 Few-shot Neural Human Performance Rendering from Sparse RGBD Videos IJCAI 2021 Transformer Tracking CVPR 2021 Jointly Identifying Rhetoric and Implicit Emotions via Multi-Task Learning IJCNLP 2021 ChallenCap: Monocular 3D Capture of Challenging Human Performances Using Multi-Modal References CVPR 2021 TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search CVPR 2021 Jointly Identifying Rhetoric and Implicit Emotions via Multi-Task Learning ACL 2021 Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection ICCV 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems AAAI 2021 Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks AAAI 2021 PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search ICLR 2020 Circumventing Outliers of AutoAugment with Knowledge Distillation ECCV 2020 Graph Stochastic Neural Networks for Semi-supervised Learning NIPS 2020 Intelligent Virtual Machine Provisioning in Cloud Computing IJCAI 2020 Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning NIPS 2020 CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search ECCV 2020 Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis NIPS 2019 Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise ICCV 2019 Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation ICCV 2019 Robustness Verification of Classification Deep Neural Networks via Linear Programming CVPR 2019 Sparse Photometric 3D Face Reconstruction Guided by Morphable Models CVPR 2018 Filter Sampling and Combination CNN (FSC-CNN): A Compact CNN Model for Small-footprint ASR Acoustic Modeling Using Raw Waveforms INTERSPEECH 2018 Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control IJCAI 2017 Hierarchical Model Predictive Control for Multi-Robot Navigation IJCAI 2016