papers

Publications (248)

cs.CV2024

Test-time Distribution Learning Adapter for Cross-modal Visual Reasoning

Yi Zhang, Ce Zhang

cond-mat.mes-hall2024

Electrokinetic origin of swirling flow on nanoscale interface

Shuangshuang Meng, Yu Han, Wei Zhao +7

cs.CL2026

WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models

Rui Wang, Ce Zhang, Jun-Yu Ma +10

cs.LG2024

OpenBox: A Python Toolkit for Generalized Black-box Optimization

Huaijun Jiang, Yu Shen, Yang Li +5

cs.LG2025

MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage

Yongjun He, Roger Waleffe, Zhichao Han +8

cs.CL2020

ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation

Nora Hollenstein, Marius Troendle, Ce Zhang +1

cs.LG2022

Transfer Learning based Search Space Design for Hyperparameter Tuning

Yang Li, Yu Shen, Huaijun Jiang +4

cs.AI2025

Data Diversification Methods In Alignment Enhance Math Performance In LLMs

Berkan Dokmeci, Qingyang Wu, Ben Athiwaratkun +3

cs.CV2024

Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Yi Zhang, Ce Zhang, Ke Yu +2

physics.flu-dyn2024

Quad-cascade picture of electrokinetic turbulence

Yanxia Shi, Jin'an Pang, Yueqiang Zhu +10

cs.LG2023

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

Ying Sheng, Lianmin Zheng, Binhang Yuan +11

cs.RO2026

WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation

Baiqi Li, Ce Zhang, Yu Fang +4

cs.CV2020

Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network

Rui Li, Shunyi Zheng, Chenxi Duan +1

cs.CV2021

Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery

Gyri Reiersen, David Dao, Björn Lütjens +3

cs.CV2023

MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion

Ce Zhang, Chengjie Zhang, Yiluan Guo +2

cs.LG2021

1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed

Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan +6

math.NA2013

An Approximate, Efficient Solver for LP Rounding

Srikrishna Sridhar, Victor Bittorf, Ji Liu +3

cs.CV2026

TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs

Baiqi Li, Kangyi Zhao, Ce Zhang +3

cs.CV2023

Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation

Xueting Hu, Ce Zhang, Yi Zhang +3

eess.IV2021

Super-resolution reconstruction of cytoskeleton image based on A-net deep learning network

Qian Chen, Haoxin Bai, Bingchen Che +5

cs.LG2020

On Convergence of Nearest Neighbor Classifiers over Feature Transformations

Luka Rimanic, Cedric Renggli, Bo Li +1

cs.DC2016

Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs

Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas +2

cs.CV2015

Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries

Yuke Zhu, Ce Zhang, Christopher Ré +1

astro-ph.IM2018

Using transfer learning to detect galaxy mergers

Sandro Ackermann, Kevin Schawinski, Ce Zhang +2

cs.LG2024

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks

Kenza Amara, Rex Ying, Zitao Zhang +5

cs.LG2021

Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee

Cedric Renggli, Luka Rimanic, Nora Hollenstein +1

cs.LG2019

Communication Compression for Decentralized Training

Hanlin Tang, Shaoduo Gan, Ce Zhang +2

cs.RO2026

ISS Policy : Scalable Diffusion Policy with Implicit Scene Supervision

Wenlong Xia, Jinhao Zhang, Ce Zhang +4

cs.LG2019

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Yujing Wang, Yaming Yang, Yiren Chen +7

astro-ph.GA2018

PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light

Dominic Stark, Barthelemy Launet, Kevin Schawinski +7

cs.LG2023

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

Stefano Massaroli, Michael Poli, Daniel Y. Fu +11

cs.DC2019

Distributed Learning over Unreliable Networks

Chen Yu, Hanlin Tang, Cedric Renggli +5

cs.LG2024

Mitigating Catastrophic Forgetting in Language Transfer via Model Merging

Anton Alexandrov, Veselin Raychev, Mark Niklas Müller +3

cs.CV2023

Object-centric Video Representation for Long-term Action Anticipation

Ce Zhang, Changcheng Fu, Shijie Wang +4

stat.ML2016

Asynchrony begets Momentum, with an Application to Deep Learning

Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis +1

cs.CV2025

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction

Ce Zhang, Yale Song, Ruta Desai +4

cs.CV2021

Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images

Libo Wang, Ce Zhang, Rui Li +3

cs.DB2014

DimmWitted: A Study of Main-Memory Statistical Analytics

Ce Zhang, Christopher Ré

cs.LG2022

Certifying Out-of-Domain Generalization for Blackbox Functions

Maurice Weber, Linyi Li, Boxin Wang +3

math.OC2017

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

Xiangru Lian, Ce Zhang, Huan Zhang +3

cs.LG2023

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

Qiang Huang, Jiawei Jiang, Xi Susie Rao +10

cs.DB2014

Feature Engineering for Knowledge Base Construction

Christopher Ré, Amir Abbas Sadeghian, Zifei Shan +4

cs.LG2021

Adversarial Learning for Debiasing Knowledge Graph Embeddings

Mario Arduini, Lorenzo Noci, Federico Pirovano +3

cs.CL2022

Dynamic Human Evaluation for Relative Model Comparisons

Thórhildur Thorleiksdóttir, Cedric Renggli, Nora Hollenstein +1

hep-ph2022

Richness out of smallness: a Possible Staged Blueprint on Future Colliders

Meng Lu, Qiang Li, Zhengyun You +1

cs.CV2025

InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning

Zifu Wan, Yaqi Xie, Ce Zhang +5

cs.CV2023

Cross-Modal Concept Learning and Inference for Vision-Language Models

Yi Zhang, Ce Zhang, Yushun Tang +1

cond-mat.mes-hall2022

Parallel measurements of vibrational modes in a few-layer graphene nanomechanical resonator using software-defined radio dongles

Heng Lu, Chen Yang, Ye Tian +6

cs.LG2020

A Principled Approach to Data Valuation for Federated Learning

Tianhao Wang, Johannes Rausch, Ce Zhang +2

cs.AI2012

Scaling Inference for Markov Logic with a Task-Decomposition Approach

Feng Niu, Ce Zhang, Christopher Ré +1

physics.bio-ph2008

Effects of electrostatic screening on the conformation of single DNA molecules confined in a nanochannel

Ce Zhang, Fang Zhang, Jeroen A. van Kan +1

cs.LG2018

AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI

Chen Yu, Bojan Karlas, Jie Zhong +2

cs.DB2021

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

Peng Li, Xi Rao, Jennifer Blase +3

cs.LG2023

DSG: An End-to-End Document Structure Generator

Johannes Rausch, Gentiana Rashiti, Maxim Gusev +2

cs.LG2022

CARE: Certifiably Robust Learning with Reasoning via Variational Inference

Jiawei Zhang, Linyi Li, Ce Zhang +1

hep-ph2025

Search for light Dark Sectors with GeV Muon Beams

Zijian Wang, Leyun Gao, Zhuo Chen +10

cs.LG2020

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

Ruoxi Jia, David Dao, Boxin Wang +6

cs.LG2019

Data Science through the looking glass and what we found there

Fotis Psallidas, Yiwen Zhu, Bojan Karlas +8

cs.CV2024

A Simple LLM Framework for Long-Range Video Question-Answering

Ce Zhang, Taixi Lu, Md Mohaiminul Islam +4

cond-mat.mes-hall2025

Hysteretic responses of nanomechanical resonators based on crumpled few-layer graphene

Heng Lu, Chen Yang, Ce Zhang +8

cs.CV2024

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

Ce Zhang, Simon Stepputtis, Joseph Campbell +2

cs.LG2023

DataPerf: Benchmarks for Data-Centric AI Development

Mark Mazumder, Colby Banbury, Xiaozhe Yao +42

astro-ph.GA2018

Exploring galaxy evolution with generative models

Kevin Schawinski, M. Dennis Turp, Ce Zhang

cs.CV2024

Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models

Ce Zhang, Simon Stepputtis, Katia Sycara +1

cs.CL2018

ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction

Jonathan Rotsztejn, Nora Hollenstein, Ce Zhang

cs.DC2019

: Decentralization Meets Error-Compensated Compression

Hanlin Tang, Xiangru Lian, Shuang Qiu +4

cs.DC2023

Towards General and Efficient Online Tuning for Spark

Yang Li, Huaijun Jiang, Yu Shen +8

cs.LG2022

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning

Yang Li, Yu Shen, Huaijun Jiang +4

cs.SI2019

Sensing Social Media Signals for Cryptocurrency News

Johannes Beck, Roberta Huang, David Lindner +4

cs.AR2024

PIM-Opt: Demystifying Distributed Optimization Algorithms on a Real-World Processing-In-Memory System

Steve Rhyner, Haocong Luo, Juan Gómez-Luna +6

cs.CL2018

Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks

Ivan Girardi, Pengfei Ji, An-phi Nguyen +5

cs.DB2021

RumbleML: program the lakehouse with JSONiq

Ghislain Fourny, David Dao, Can Berker Cikis +2

cs.DC2020

APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm

Hanlin Tang, Shaoduo Gan, Samyam Rajbhandari +4

physics.flu-dyn2023

Transition routes of electrokinetic flow in a divergent microchannel with bending walls

Yanxia Shi, Ming Zeng, Haoxin Bai +6

cs.LG2022

Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines

Bojan Karlaš, David Dao, Matteo Interlandi +4

cs.CV2021

A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

Rui Li, Shunyi Zheng, Ce Zhang +2

cs.IR2020

Learning User Representations with Hypercuboids for Recommender Systems

Shuai Zhang, Huoyu Liu, Aston Zhang +6

cs.LG2021

Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?

Ruoxi Jia, Fan Wu, Xuehui Sun +6

cs.CV2020

Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning

Xinzheng Zhang, Hang Su, Ce Zhang +3

cs.LG2023

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

Zichang Liu, Jue Wang, Tri Dao +8

cs.LG2021

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements

Yang Li, Yu Shen, Jiawei Jiang +3

cs.LG2025

Beat the long tail: Distribution-Aware Speculative Decoding for RL Training

Zelei Shao, Vikranth Srivatsa, Sanjana Srivastava +12

cs.LG2020

DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition

Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang +17

cs.LG2015

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning

Stefan Hadjis, Firas Abuzaid, Ce Zhang +1

cs.LG2026

CDLM: Consistency Diffusion Language Models For Faster Sampling

Minseo Kim, Chenfeng Xu, Coleman Hooper +5

physics.optics2025

Ray Theory of Waves

Kuan Fang Ren, Qingwei Duan, Claude Rozé +4

stat.ML2016

CYCLADES: Conflict-free Asynchronous Machine Learning

Xinghao Pan, Maximilian Lam, Stephen Tu +6

cs.CL2024

Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models

Yilmazcan Ozyurt, Stefan Feuerriegel, Ce Zhang

cs.CV2026

pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning

Zhanpeng Luo, Ce Zhang, Silong Yong +6

cs.CL2025

Hold Onto That Thought: Assessing KV Cache Compression On Reasoning

Minghui Liu, Aadi Palnitkar, Tahseen Rabbani +9

cs.CL2019

Advancing NLP with Cognitive Language Processing Signals

Nora Hollenstein, Maria Barrett, Marius Troendle +3

astro-ph.GA2019

RadioGAN - Translations between different radio surveys with generative adversarial networks

Nina Glaser, O Ivy Wong, Kevin Schawinski +1

cs.CV2023

Unsupervised Prototype Adapter for Vision-Language Models

Yi Zhang, Ce Zhang, Xueting Hu +1

cs.CV2020

Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection

Xinzheng Zhang, Guo Liu, Ce Zhang +5

cs.LG2021

BAGUA: Scaling up Distributed Learning with System Relaxations

Shaoduo Gan, Xiangru Lian, Rui Wang +11

cs.CL2024

BgGPT 1.0: Extending English-centric LLMs to other languages

Anton Alexandrov, Veselin Raychev, Dimitar I. Dimitrov +3

cs.CV2023

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation

Zhehan Kan, Shuoshuo Chen, Ce Zhang +2

cs.CV2020

A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet

Xinzheng Zhang, Hang Su, Ce Zhang +4

cs.LG2021

Distributed Learning Systems with First-order Methods

Ji Liu, Ce Zhang

cs.CV2020

Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images

Rui Li, Shunyi Zheng, Chenxi Duan +2