Shixiang Tang

Orcid: 0009-0005-0067-339X

According to our database1, Shixiang Tang authored at least 62 papers between 2020 and 2025.

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Bibliography

2025
Finetuning Large Language Model as an Effective Symbolic Regressor.
CoRR, August, 2025

Hulk: A Universal Knowledge Translator for Human-Centric Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

MotionGPT3: Human Motion as a Second Modality.
CoRR, June, 2025

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI.
CoRR, June, 2025

Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team.
CoRR, June, 2025

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models.
CoRR, June, 2025

Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning.
CoRR, June, 2025

LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents.
CoRR, May, 2025

Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation.
CoRR, May, 2025

CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming.
CoRR, May, 2025

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research.
CoRR, May, 2025

MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data.
CoRR, May, 2025

Point2Primitive: CAD Reconstruction from Point Cloud by Direct Primitive Prediction.
CoRR, May, 2025

CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation.
CoRR, April, 2025

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning.
CoRR, April, 2025

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition.
CoRR, March, 2025

FuncGenFoil: Airfoil Generation and Editing Model in Function Space.
CoRR, February, 2025

Human-Centric Foundation Models: Perception, Generation and Agentic Modeling.
CoRR, February, 2025

Acquisition through My Eyes and Steps: A Joint Predictive Agent Model in Egocentric Worlds.
CoRR, February, 2025

Adept: Annotation-denoising auxiliary tasks with discrete cosine transform map and keypoint for human-centric pretraining.
Neurocomputing, 2025

A lightweight model for long-term multivariate time series forecasting via high-dimensional feature maps.
Appl. Soft Comput., 2025

Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities.
IEEE Trans. Multim., 2024

Zero-Knowledge Proof Vulnerability Analysis and Security Auditing.
IACR Cryptol. ePrint Arch., 2024

MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding.
CoRR, 2024

Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation.
CoRR, 2024

DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics.
CoRR, 2024

Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space.
CoRR, 2024

MLCM: Multistep Consistency Distillation of Latent Diffusion Model.
CoRR, 2024

Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification.
CoRR, 2024

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation.
CoRR, 2024

A Comprehensive Survey on 3D Content Generation.
CoRR, 2024

AFBench: A Large-scale Benchmark for Airfoil Design.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Agent3D-Zero: An Agent for Zero-Shot 3D Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024

DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM.
Proceedings of the Computer Vision - ECCV 2024, 2024

UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LEAD: Exploring Logit Space Evolution for Model Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Instruct-ReID: A Multi-Purpose Person Re-Identification Task with Instructions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions.
CoRR, 2023

Saliency Guided Contrastive Learning on Scene Images.
CoRR, 2023

Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Trust Your Partner's Friends: Hierarchical Cross-Modal Contrastive Pre-Training for Video-Text Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

HumanBench: Towards General Human-Centric Perception with Projector Assisted Pretraining.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

UniHCP: A Unified Model for Human-Centric Perceptions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains.
Proceedings of the Computer Vision - ECCV 2022, 2022

Relative Contrastive Loss for Unsupervised Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective.
Proceedings of the Computer Vision - ECCV 2022, 2022

Feature Erasing and Diffusion Network for Occluded Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting the Transferability of Supervised Pretraining: an MLP Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification.
CoRR, 2021

Continual Representation Learning for Biometric Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Complementary Relation Contrastive Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Layerwise Optimization by Gradient Decomposition for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mutual CRF-GNN for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Gradient Regularized Contrastive Learning for Continual Domain Adaptation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Gradient Regularized Contrastive Learning for Continual Domain Adaptation.
CoRR, 2020

Adapting Object Detectors with Conditional Domain Normalization.
Proceedings of the Computer Vision - ECCV 2020, 2020


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