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papers

Publications (281)

cond-mat.str-el2025

Critical fluctuations and conserved dynamics in a strange ferromagnetic metal

Jin Zhan, Yongjun Zhang, Jiawen Zhang +9

cs.IR2025

Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations

Liang Luo, Yuxin Chen, Zhengyu Zhang +39

cs.RO2026

CLAW: Composable Language-Annotated Whole-body Motion Generation

Jianuo Cao, Yuxin Chen, Masayoshi Tomizuka

cs.LG2025

Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization

Yu Huang, Zixin Wen, Aarti Singh +2

cs.LG2018

Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes

Jialin Song, Yury S. Tokpanov, Yuxin Chen +4

cs.CV2025

EditInfinity: Image Editing with Binary-Quantized Generative Models

Jiahuan Wang, Yuxin Chen, Jun Yu +2

cs.CV2018

Addressing Training Bias via Automated Image Annotation

Zhujun Xiao, Yanzi Zhu, Yuxin Chen +3

cs.LG2024

Direct Acquisition Optimization for Low-Budget Active Learning

Zhuokai Zhao, Yibo Jiang, Yuxin Chen

cs.CV2025

Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) Challenge

Adam Schmidt, Mert Asim Karaoglu, Soham Sinha +37

cs.LG2023

Learning Human-Compatible Representations for Case-Based Decision Support

Han Liu, Yizhou Tian, Chacha Chen +3

cs.LG2025

Transformers Meet In-Context Learning: A Universal Approximation Theory

Gen Li, Yuchen Jiao, Yu Huang +2

cs.LG2024

Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning

Gen Li, Yuling Yan, Yuxin Chen +1

cs.LG2026

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale

Liang Luo, Yinbin Ma, Quanyu Zhu +21

eess.AS2025

GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

Yu Zhang, Changhao Pan, Wenxiang Guo +15

cs.RO2023

A force-sensing surgical drill for real-time force feedback in robotic mastoidectomy

Yuxin Chen, Anna Goodridge, Manish Sahu +7

cs.LG2021

Teaching an Active Learner with Contrastive Examples

Chaoqi Wang, Adish Singla, Yuxin Chen

cs.LG2025

Hierarchical Deep Research with Local-Web RAG: Toward Automated System-Level Materials Discovery

Rui Ding, Rodrigo Pires Ferreira, Yuxin Chen +1

math.ST2024

Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA

Yuchen Zhou, Yuxin Chen

cs.CL2025

AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation

Ming Wang, Peidong Wang, Lin Wu +6

cs.RO2019

Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter

Matthew Romano, Yuxin Chen, Owen Marshall +1

cs.LG2025

Direct Regret Optimization in Bayesian Optimization

Fengxue Zhang, Yuxin Chen

math.ST2024

Inference for Heteroskedastic PCA with Missing Data

Yuling Yan, Yuxin Chen, Jianqing Fan

cs.LG2022

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Laixi Shi, Gen Li, Yuting Wei +2

cs.LG2019

Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models

Farnam Mansouri, Yuxin Chen, Ara Vartanian +2

cs.LG2026

Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining

Anirudh Subramanyam, Yuxin Chen, Robert L. Grossman

cs.CL2020

A Financial Service Chatbot based on Deep Bidirectional Transformers

Shi Yu, Yuxin Chen, Hussain Zaidi

cs.AI2026

Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment

Jingnan Zheng, Yanzhen Luo, Jingjun Xu +8

cs.LG2024

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning

Tong Yang, Shicong Cen, Yuting Wei +2

cs.RO2026

DexH2R: Task-oriented Dexterous Manipulation from Human to Robots

Shuqi Zhao, Xinghao Zhu, Yuxin Chen +5

cs.CL2026

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning

Yinan Zhou, Haokun Lin, Yichen Wu +7

stat.ML2021

Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

Shicong Cen, Chen Cheng, Yuxin Chen +2

cs.CV2022

CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation

Ziqi Zhang, Yuxin Chen, Zongyang Ma +5

cs.CL2026

Learning to Self-Verify Makes Language Models Better Reasoners

Yuxin Chen, Yu Wang, Yi Zhang +9

math.ST2017

The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square

Pragya Sur, Yuxin Chen, Emmanuel J. Candès

cs.CV2026

Pixal3D: Pixel-Aligned 3D Generation from Images

Dong-Yang Li, Wang Zhao, Yuxin Chen +5

cs.AI2026

Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility

Mengxuan Wang, Yuxin Chen, Gang Xu +3

cs.IT2017

On the Minimax Capacity Loss under Sub-Nyquist Universal Sampling

Yuxin Chen, Andrea Goldsmith, Yonina C. Eldar

cs.IR2025

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation

Mingfu Liang, Xi Liu, Rong Jin +104

cs.AI2025

How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective

Songsong Yu, Yuxin Chen, Hao Ju +15

cs.AI2021

Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities

Chinmaya Mahesh, Kristin Dona, David W. Miller +1

cs.LG2016

Near-optimal Bayesian Active Learning with Correlated and Noisy Tests

Yuxin Chen, S. Hamed Hassani, Andreas Krause

cs.CL2026

REAR: Test-time Preference Realignment through Reward Decomposition

Fuxiang Zhang, Pengcheng Wang, Chenran Li +6

cs.IR2026

Beyond Static Collision Handling: Adaptive Semantic ID Learning for Multimodal Recommendation at Industrial Scale

Yongsen Pan, Yuxin Chen, Zheng Hu +8

stat.ML2020

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction

Boyue Li, Shicong Cen, Yuxin Chen +1

cs.LG2022

Learning Representation for Bayesian Optimization with Collision-free Regularization

Fengxue Zhang, Brian Nord, Yuxin Chen

cs.LG2026

On the Emergence of Implicit Curriculum in RLVR Learning Dynamics

Yu Huang, Zixin Wen, Yuejie Chi +4

cs.LG2024

Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context

Xiang Cheng, Yuxin Chen, Suvrit Sra

cs.LG2023

Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning

Gen Li, Wenhao Zhan, Jason D. Lee +2

cond-mat.quant-gas2014

Collective behaviour of large number of vortices in the plane

Yuxin Chen, Theodore Kolokolnikov, Daniel Zhirov

cs.LG2026

Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality

Zhihan Huang, Yuting Wei, Yuxin Chen

cs.LG2026

Provable diffusion-based posterior sampling for linear inverse problems via DDIM

Yuchen Jiao, Na Li, Changxiao Cai +2

cs.LG2025

Efficient Online Decision Tree Learning with Active Feature Acquisition

Arman Rahbar, Ziyu Ye, Yuxin Chen +1

cs.LG2023

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

Gen Li, Yuting Wei, Yuejie Chi +1

cs.IT2013

Spectral Compressed Sensing via Structured Matrix Completion

Yuxin Chen, Yuejie Chi

cs.LG2025

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

Laixi Shi, Gen Li, Yuting Wei +3

cs.IT2013

Shannon Meets Nyquist: Capacity of Sampled Gaussian Channels

Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith

cs.IT2016

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems

Yuxin Chen, Emmanuel J. Candes

cs.IR2026

Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation at Industrial Scale

Zheng Hu, Yuxin Chen, Yongsen Pan +13

cs.LG2026

SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution

Zhiyuan Yao, Yuxin Chen, Zhengxi Lu +13

SkillRise introduces a reinforcement‑learning framework that lets large language model agents learn and reuse transferable skills across related tasks by curating a skill document…

#agentic reinforcement learning#cross‑task skill transfer#LLM agents#skill curation
cs.LG2021

The Teaching Dimension of Kernel Perceptron

Akash Kumar, Hanqi Zhang, Adish Singla +1

cs.CV2026

Beyond Semantic Search: Towards Referential Anchoring in Composed Image Retrieval

Yuxin Yang, Yinan Zhou, Yuxin Chen +6

cond-mat.mtrl-sci2024

A Machine Learning Approach Capturing Hidden Parameters in Autonomous Thin-Film Deposition

Yuanlong Zheng, Connor Blake, Layla Mravac +3

cs.LG2023

Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing

Renyu Zhang, Aly A. Khan, Robert L. Grossman +1

cs.LG2024

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation

Liang Luo, Buyun Zhang, Michael Tsang +11

cs.LG2020

Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?

Baihong Jin, Yingshui Tan, Yuxin Chen +2

cs.PF2026

Green AI Carbon Optimizer: Carbon-Efficient Training Location Recommendation and Global AI Energy Demand Forecasting

Yuxin Chen, Hao Gao, Chujie Zou

eess.SP2024

SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging With Neural Networks Based on Ballistocardiograms

Shuzhen Li, Yuxin Chen, Xuesong Chen +9

cs.IR2025

Language Representations Can be What Recommenders Need: Findings and Potentials

Leheng Sheng, An Zhang, Yi Zhang +3

cs.CL2026

Understanding Multilingualism in Mixture-of-Experts LLMs: Routing Mechanism, Expert Specialization, and Layerwise Steering

Yuxin Chen, Zhengzhou Cai, Xiangtian Ji +4

cs.AI2025

AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning

Yi Zhang, An Zhang, XiuYu Zhang +4

cs.LG2022

Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model

Gen Li, Yuejie Chi, Yuting Wei +1

cs.CV2019

Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks

Shuangting Liu, Jiaqi Zhang, Yuxin Chen +3

math.ST2022

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps

Gen Li, Changxiao Cai, H. Vincent Poor +1

cs.LG2026

Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts

Xiangtian Ji, Yuxin Chen, Zhengzhou Cai +3

cs.SI2026

GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing

Ming Wang, Shuang Wu, Bixuan Wang +7

cs.CV2026

Semantic Generative Tuning for Unified Multimodal Models

Songsong Yu, Yuxin Chen, Ying Shan +1

cs.CV2024

EA-VTR: Event-Aware Video-Text Retrieval

Zongyang Ma, Ziqi Zhang, Yuxin Chen +8

cs.AI2026

Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories

Dongcheng Zhang, Yi Zhang, Yuxin Chen +3

cs.LG2014

Near Optimal Bayesian Active Learning for Decision Making

Shervin Javdani, Yuxin Chen, Amin Karbasi +3

cs.LG2019

Landmark Ordinal Embedding

Nikhil Ghosh, Yuxin Chen, Yisong Yue

cs.LG2025

Blending Imitation and Reinforcement Learning for Robust Policy Improvement

Xuefeng Liu, Takuma Yoneda, Rick L. Stevens +2

stat.ML2025

Towards a unified framework for guided diffusion models

Yuchen Jiao, Yuxin Chen, Gen Li

math.ST2026

Optimal training-conditional regret for online conformal prediction

Jiadong Liang, Zhimei Ren, Yuxin Chen

cs.AI2026

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions

Yuxin Chen, Yi Zhang, Zhengzhou Cai +11

cs.LG2020

Preference-Based Batch and Sequential Teaching

Farnam Mansouri, Yuxin Chen, Ara Vartanian +2

cs.LG2021

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting

Gen Li, Yuxin Chen, Yuejie Chi +2

cs.RO2026

TEXEDO : Test Time Scaling for Controller-aware Language-conditioned Humanoid Motion Generation

Jianuo Cao, Yuxin Chen, Yuzhen Song +3

cs.CV2021

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

Yuxin Chen, Ziqi Zhang, Chunfeng Yuan +3

cs.LG2022

LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion

Shangrong Yu, Yuxin Chen, Hejun Wu

cs.CV2022

PIC 4th Challenge: Semantic-Assisted Multi-Feature Encoding and Multi-Head Decoding for Dense Video Captioning

Yifan Lu, Ziqi Zhang, Yuxin Chen +3

cs.RO2021

Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation

Parker Ewen, Jean-Pierre Sleiman, Yuxin Chen +3

cs.CV2025

Testing Human-Hand Segmentation on In-Distribution and Out-of-Distribution Data in Human-Robot Interactions Using a Deep Ensemble Model

Reza Jalayer, Yuxin Chen, Masoud Jalayer +2

cs.CV2026

Point Tracking in Surgery--The 2025 Surgical Tattoos in Infrared Challenge (STIRC2025)

Adam Schmidt, Mert Asim Karaoglu, Zijian Wu +32

The paper presents the 2025 Surgical Tattoos in Infrared Challenge (STIRC2025), evaluating point-tracking algorithms on infrared tattoo data from surgical videos for accuracy and i…

#surgical point tracking#infrared imaging#medical image analysis#benchmark challenge
cs.AI2019

Teaching Multiple Concepts to a Forgetful Learner

Anette Hunziker, Yuxin Chen, Oisin Mac Aodha +5

cs.LG2019

Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design

Kevin K. Yang, Yuxin Chen, Alycia Lee +1

cs.LG2026

Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation

Guojian Zhan, Letian Tao, Pengcheng Wang +6

cs.LG2025

Optimal Multi-Distribution Learning

Zihan Zhang, Wenhao Zhan, Yuxin Chen +2

cs.LG2025

Formal Models of Active Learning from Contrastive Examples

Farnam Mansouri, Hans U. Simon, Adish Singla +2

cs.LG2014

Near-Optimal Joint Object Matching via Convex Relaxation

Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang

cs.RO2025

SAGA: Open-World Mobile Manipulation via Structured Affordance Grounding

Kuan Fang, Yuxin Chen, Xinghao Zhu +3