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ORCIDJie Chen 0007
Person information
- affiliation: IBM Research, MIT-IBM Watson AI Lab, Cambridge, MI, USA
- affiliation (former): Argonne National Laboratory, Mathematics and Computer Science Division, Lemont, IL, USA
- affiliation (PhD 2010): University of Minnesota, Minneapolis, MN, USA
Other persons with the same name
- Jie Chen — disambiguation page
- Jie Chen 0001
![[0000-0002-9765-4523]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9765-4523")
— Peking University, School of Electronic and Computer Engineering, Beijing, China (and 4 more) - Jie Chen 0002 — University of Alberta, Department of Electrical and Computer Engineering & Department of Biomedical Engineering, Edmonton, AB, Canada (and 3 more)
- Jie Chen 0003 — Beijing Institute of Technology, State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing, China (and 2 more)
- Jie Chen 0004 — University of South Australia, Adelaide, Australia (and 1 more)
- Jie Chen 0005 — City University of Hong Kong (and 2 more)
- Jie Chen 0006 — BoyunVision Technology Co., Ltd., Beijing, China (and 1 more)
- Jie Chen 0008 — Augusta University, Medical College of Georgia, Department of Population Health Sciences, Augusta, GA, USA (and 1 more)
- Jie Chen 0009 — Beihang University, School of Electronics and Information Engineering, Beijing, China (and 3 more)
- Jie Chen 0010 — Jefferson Lab, Scientific Computing Group, Newport News, VA, USA
- Jie Chen 0011 — Suzhou Vocational University, College of Electronic and Information Engineering, Suzhou, China (and 1 more)
- Jie Chen 0012 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Jie Chen 0013 — Beijing University of Posts and Telecommunications, China (and 1 more)
- Jie Chen 0014 — Wuhan Institute of Technology
- Jie Chen 0015 — Nokia Bell Labs, Naperville, IL, USA (and 1 more)
- Jie Chen 0016 — Brunel University, London, UK
- Jie Chen 0017 — Potomac Economics, USA (and 1 more)
- Jie Chen 0018 — Cornell University, School of Operations Research and Information Engineering, Ithaca, NY, USA
- Jie Chen 0019 — Department of Electrical and Computer Engineering, University of Minnesota, Department of Electrical and Computer Engineering, Minneapolis, MN, USA
- Jie Chen 0020 — George Washington University, Washington, DC, USA
- Jie Chen 0021 — East China Normal University, School of Software Engineering, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China (and 2 more)
- Jie Chen 0022 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China (and 3 more)
- Jie Chen 0023 — Harbin Engineering University, College of Information and Communication Engineering, Harbin, China
- Jie Chen 0024 — Huawei Technology Co., Ltd, China (and 1 more)
- Jie Chen 0025 — Anhui University, School of Computer Science and Technology, Hefei, China
- Jie Chen 0026 — Hong Kong Baptist University, Department of Computer Science, Hong Kong (and 1 more)
- Jie Chen 0027 — Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China (and 2 more)
- Jie Chen 0028 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Jie Chen 0029 — Xian Jiaotong-Liverpool University, Department of Mathematical Sciences, Suzhou, China (and 2 more)
- Jie Chen 0030 — Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China (and 2 more)
- Jie Chen 0031 — Chinese University of Hong Kong, Institute of Space and Earth Information Science / Faculty of Science, Hong Kong (and 1 more)
- Jie Chen 0032 — University of Florida, Department of Electrical and Computer Engineering, SiMICS, Gainesville, FL, USA
- Jie Chen 0033 — Nanjing University of Posts and Telecommunications, College of Telecommunications & Information Engineering, Jiangsu Key Lab on Image Processing and Image Communication, Nanjing, China
- Jie Chen 0034 — Chongqing University, Department of Physics, China
- Jie Chen 0035 — Chinese Academy of Sciences, Hefei Institute of Physical Science, China (and 1 more)
- Jie Chen 0036 — University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
- Jie Chen 0037 — Shandong University, School of Control Science and Engineering, Jinan, China
- Jie Chen 0038 — Beihang University, School of Electronic Information Engineering, Laboratory of Information and Network Security, Beijing, China (and 1 more)
- Jie Chen 0039 — National Institutes of Health, National Library of Medicine, Bethesda, MD, USA
- Jie Chen 0040 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Jie Chen 0041 — Chinese Academy of Sciences, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Jie Chen 0042 — University of Bologna, Italy (and 1 more)
- Jie Chen 0043 — Shanghai University, School of Mechatronic Engineering and Automation, Shanghai, China
- Jie Chen 0044 — Xiamen University, Cognitive Science Department, Xiamen, China
- Jie Chen 0045 — University of Illinois at Chicago, Control and Information Laboratory, Chicago, IL, USA
- Jie Chen 0046 — University of Victoria, Department of Computer Science, Victoria, Canada
- Jie Chen 0047 — Shanxi Datong University, College of Architecture and Surveying Engineering, Datong, China
- Jie Chen 0048 — Central South University, School of Geosciences and Info-Physics, Changsha, China
- Jie Chen 0049 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 1 more)
- Jie Chen 0050 — Jimei University, Computing Engineering College, Xiamen, China
- Jie Chen 0051 — Beihang University, School of Transportation Science and Engineering, Beijing, China (and 1 more)
- Jie Chen 0052 — Hohai University, College of Internet of Things Engineering, Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology, Changzhou, China
- Jie Chen 0053 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Nanjing, China
- Jie Chen 0054 — Wells Fargo, Corporate Model Risk, San Francisco, CA, USA (and 1 more)
- Jie Chen 0055 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Jie Chen 0056 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Jie Chen 0057 — Tencent AI Lab, Shenzhen, China
- Jie Chen 0058 — Jinan University, International School, Guangzhou, China (and 1 more)
- Jie Chen 0059 — Beijing Normal University, College of Information Science and Technology, Beijing, China
- Jie Chen 0060 — Hangzhou Dianzi University, School of Computer Science and Technology, Hangzhou, China (and 1 more)
- Jie Chen 0061 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Jie Chen 0062 — Chinese Academy of Sciences, Institute of Electrical Engineering, Beijing, China (and 1 more)
- Jie Chen 0063 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (and 1 more)
- Jie Chen 0064 — Hubei University of Technology, School of Science, Wuhan, China (and 1 more)
- Jie Chen 0065 — Sichuan University, College of Computer Science, Machine Intelligence Laboratory, Chengdu, China
- Jie Chen 0066 — Jilin University, College of Computer Science and Technology, Changchun, China
- Jie Chen 0067 — Shanghai Jiao Tong University, Department of Physics, Key Laboratory for Laser Plasmas, Shanghai, China (and 1 more)
- Jie Chen 0068 — Hangzhou Dianzi University, School of Automation, Hangzhou, China
- Jie Chen 0069 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Jie Chen 0070 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China
- Jie Chen 0071 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- Jie Chen 0072 — Hunan Normal University, College of Information Science and Engineering, Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, China
- Jie Chen 0073 — Beijing University of Technology, College of Mechanical Engineering, Beijing Key Laboratory on Nonlinear Vibrations and Strength of Mechanical Structures, Beijing, China
- Jie Chen 0074 — China Electric Power Research Institute, Beijing, China
- Jie Chen 0075 — Tianjin Vocational Institute, School of Electronic and Information Engineering, Tianjin, China
- Jie Chen 0076 — University of Durham, Department of Physics, Durham, UK (and 2 more)
- Jie Chen 0077 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Jie Chen 0078 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Jie Chen 0079 — Fudan University, School of Information Science and Engineering, Shanghai, China (and 1 more)
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Journal Articles
- 2024
[j25]Xinwei Zhang, Mingyi Hong, Jie Chen:
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [j24]Han Huang, Jiajia Yu, Jie Chen, Rongjie Lai:
Bridging mean-field games and normalizing flows with trajectory regularization. J. Comput. Phys. 487: 112155 (2023) - [j23]Yangyang Xu, Yibo Xu, Yonggui Yan, Colin Sutcher-Shepard, Leopold Grinberg, Jie Chen:
Parallel and distributed asynchronous adaptive stochastic gradient methods. Math. Program. Comput. 15(3): 471-508 (2023) - [j22]Gabriel Mancino-Ball, Yangyang Xu, Jie Chen:
A Decentralized Primal-Dual Framework for Non-Convex Smooth Consensus Optimization. IEEE Trans. Signal Process. 71: 525-538 (2023) - 2022
- [j21]Yangyang Xu, Yibo Xu, Yonggui Yan, Jie Chen:
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems. SIAM J. Imaging Sci. 15(2): 550-590 (2022) - 2019
- [j20]Ruslan Shaydulin, Jie Chen, Ilya Safro:
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. Multiscale Model. Simul. 17(1): 482-506 (2019) - 2018
- [j19]Jie Chen, Yousef Saad:
A posteriori error estimate for computing tr(f(A)) by using the Lanczos method. Numer. Linear Algebra Appl. 25(5) (2018) - [j18]Fu Lin, Jie Chen:
Learning low-complexity autoregressive models via proximal alternating minimization. Syst. Control. Lett. 122: 48-53 (2018) - 2017
- [j17]Jie Chen, Haim Avron, Vikas Sindhwani:
Hierarchically Compositional Kernels for Scalable Nonparametric Learning. J. Mach. Learn. Res. 18: 66:1-66:42 (2017) - [j16]Shashanka Ubaru, Jie Chen, Yousef Saad:
Fast Estimation of tr(f(A)) via Stochastic Lanczos Quadrature. SIAM J. Matrix Anal. Appl. 38(4): 1075-1099 (2017) - 2016
- [j15]Jie Chen, Lois C. McInnes, Hong Zhang:
Analysis and Practical Use of Flexible BiCGStab. J. Sci. Comput. 68(2): 803-825 (2016) - [j14]Jie Chen:
How Accurately Should I Compute Implicit Matrix-Vector Products When Applying the Hutchinson Trace Estimator? SIAM J. Sci. Comput. 38(6) (2016) - 2014
- [j13]Jie Chen, Tom L. H. Li, Mihai Anitescu:
A parallel linear solver for multilevel Toeplitz systems with possibly several right-hand sides. Parallel Comput. 40(8): 408-424 (2014) - [j12]Jie Chen, Lei Wang, Mihai Anitescu:
A Fast Summation Tree Code for Matérn Kernel. SIAM J. Sci. Comput. 36(1) (2014) - 2013
- [j11]Jie Chen:
On the Use of Discrete Laplace Operator for Preconditioning Kernel Matrices. SIAM J. Sci. Comput. 35(2) (2013) - 2012
- [j10]Michael L. Stein, Jie Chen, Mihai Anitescu:
Difference Filter Preconditioning for Large Covariance Matrices. SIAM J. Matrix Anal. Appl. 33(1): 52-72 (2012) - [j9]Mihai Anitescu, Jie Chen, Lei Wang:
A Matrix-free Approach for Solving the Parametric Gaussian Process Maximum Likelihood Problem. SIAM J. Sci. Comput. 34(1) (2012) - [j8]Jie Chen, Yousef Saad:
Dense Subgraph Extraction with Application to Community Detection. IEEE Trans. Knowl. Data Eng. 24(7): 1216-1230 (2012) - 2011
- [j7]Effrosini Kokiopoulou, Jie Chen, Yousef Saad:
Trace optimization and eigenproblems in dimension reduction methods. Numer. Linear Algebra Appl. 18(3): 565-602 (2011) - [j6]Jie Chen, Mihai Anitescu, Yousef Saad:
Computing f(A)b via Least Squares Polynomial Approximations. SIAM J. Sci. Comput. 33(1): 195-222 (2011) - [j5]Jie Chen, Ilya Safro:
Algebraic Distance on Graphs. SIAM J. Sci. Comput. 33(6): 3468-3490 (2011) - 2009
- [j4]Jie Chen, Haw-ren Fang, Yousef Saad:
Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection. J. Mach. Learn. Res. 10: 1989-2012 (2009) - [j3]Jie Chen, Yousef Saad:
Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction. IEEE Trans. Knowl. Data Eng. 21(8): 1091-1103 (2009) - 2008
- [j2]Jie Chen, Baoquan Chen:
Architectural Modeling from Sparsely Scanned Range Data. Int. J. Comput. Vis. 78(2-3): 223-236 (2008) - [j1]Jie Chen, Yousef Saad:
On the Tensor SVD and the Optimal Low Rank Orthogonal Approximation of Tensors. SIAM J. Matrix Anal. Appl. 30(4): 1709-1734 (2008)
Conference and Workshop Papers
- 2024
- [c33]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. ACL (1) 2024: 10879-10899 - [c32]Jie Chen, Yupeng Zhang, Bingning Wang, Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. EMNLP (Findings) 2024: 14855-14865 - [c31]Kiwhan Song, Mohamed Ali Dhraief, Muhua Xu, Locke Cai, Xuhao Chen, Arvind Mithal, Jie Chen:
Identifying Money Laundering Subgraphs on the Blockchain. ICAIF 2024: 195-203 - [c30]Michael Sun, Minghao Guo, Weize Yuan, Veronika Thost, Crystal Elaine Owens, Aristotle Franklin Grosz, Sharvaa Selvan, Katelyn Zhou, Hassan Mohiuddin, Benjamin J. Pedretti, Zachary P. Smith, Jie Chen, Wojciech Matusik:
Representing Molecules as Random Walks Over Interpretable Grammars. ICML 2024 - [c29]Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konakovic Lukovic:
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints. ICML 2024 - 2023
- [c28]Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen:
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization. AAAI 2023: 9055-9063 - [c27]Zehao Niu, Mihai Anitescu, Jie Chen:
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning. ICLR 2023 - [c26]Minghao Guo, Veronika Thost, Samuel W. Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik:
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction. ICML 2023: 12055-12076 - [c25]Tim Kaler, Alexandros-Stavros Iliopoulos, Philip Murzynowski, Tao B. Schardl, Charles E. Leiserson, Jie Chen:
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching. MLSys 2023 - [c24]Tengfei Ma, Trong Nghia Hoang, Jie Chen:
Federated learning of models pre-trained on different features with consensus graphs. UAI 2023: 1336-1346 - 2022
- [c23]Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik:
Data-Efficient Graph Grammar Learning for Molecular Generation. ICLR 2022 - [c22]Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen:
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining. MLSys 2022 - 2021
- [c21]Tengfei Ma, Jie Chen:
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. AAAI 2021: 8856-8864 - [c20]Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias:
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation. APOCS 2021: 144-158 - [c19]Chao Shang, Jie Chen, Jinbo Bi:
Discrete Graph Structure Learning for Forecasting Multiple Time Series. ICLR 2021 - [c18]Veronika Thost, Jie Chen:
Directed Acyclic Graph Neural Networks. ICLR 2021 - [c17]Xiao Zang, Yi Xie, Jie Chen, Bo Yuan:
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models. IJCAI 2021: 3328-3334 - [c16]Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss:
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c15]Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. AAAI 2020: 5077-5084 - [c14]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI 2020: 5363-5370 - [c13]Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan:
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator. AAAI 2020: 5412-5419 - [c12]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. AAAI 2020: 8336-8343 - 2019
- [c11]Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. AAAI 2019: 2835-2842 - [c10]Yue Yu, Jie Chen, Tian Gao, Mo Yu:
DAG-GNN: DAG Structure Learning with Graph Neural Networks. ICML 2019: 7154-7163 - [c9]Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock:
Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP 2019: 159-163 - 2018
- [c8]Jie Chen, Tengfei Ma, Cao Xiao:
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. ICLR (Poster) 2018 - [c7]Tengfei Ma, Jie Chen, Cao Xiao:
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. NeurIPS 2018: 7113-7124 - 2017
- [c6]Fu Lin, Jie Chen:
Learning low-complexity autoregressive models with limited time sequence data. ACC 2017: 3153-3158 - 2016
- [c5]Jie Chen, Lingfei Wu, Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran:
Efficient one-vs-one kernel ridge regression for speech recognition. ICASSP 2016: 2454-2458 - [c4]Lingfei Wu, Ian En-Hsu Yen, Jie Chen, Rui Yan:
Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability. KDD 2016: 1265-1274 - 2013
- [c3]Jie Chen, Tom L. H. Li:
Parallelizing the Conjugate Gradient Algorithm for Multilevel Toeplitz Systems. ICCS 2013: 571-580 - 2011
- [c2]Jie Chen, Ilya Safro:
A measure of the local connectivity between graph vertices. ICCS 2011: 196-205 - 2009
- [c1]Jie Chen, Yousef Saad:
Divide and Conquer Strategies for Effective Information Retrieval. SDM 2009: 449-460
Informal and Other Publications
- 2025
- [i51]Zhipeng Chen, Yingqian Min, Beichen Zhang, Jie Chen, Jinhao Jiang, Daixuan Cheng, Wayne Xin Zhao, Zheng Liu, Xu Miao, Yang Lu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen:
An Empirical Study on Eliciting and Improving R1-like Reasoning Models. CoRR abs/2503.04548 (2025) - [i50]Huatong Song, Jinhao Jiang, Yingqian Min, Jie Chen, Zhipeng Chen, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen:
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning. CoRR abs/2503.05592 (2025) - 2024
- [i49]Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. CoRR abs/2401.03205 (2024) - [i48]Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konakovic-Lukovic:
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints. CoRR abs/2402.07692 (2024) - [i47]Michael Sun, Minghao Guo, Weize Yuan, Veronika Thost, Crystal Elaine Owens, Aristotle Franklin Grosz, Sharvaa Selvan, Katelyn Zhou, Hassan Mohiuddin, Benjamin J. Pedretti, Zachary P. Smith, Jie Chen, Wojciech Matusik:
Representing Molecules as Random Walks Over Interpretable Grammars. CoRR abs/2403.08147 (2024) - [i46]Claudio Bellei, Muhua Xu, Ross Phillips, Tom Robinson, Mark Weber, Tim Kaler, Charles E. Leiserson, Arvind, Jie Chen:
The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset. CoRR abs/2404.19109 (2024) - [i45]Jie Chen, Yupeng Zhang, Bingning Wang, Wayne Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. CoRR abs/2406.12397 (2024) - [i44]Tianyi Tang, Yiwen Hu, Bingqian Li, Wenyang Luo, Zijing Qin, Haoxiang Sun, Jiapeng Wang, Shiyi Xu, Xiaoxue Cheng, Geyang Guo, Han Peng, Bowen Zheng, Yiru Tang, Yingqian Min, Yushuo Chen, Jie Chen, Yuanqian Zhao, Luran Ding, Yuhao Wang, Zican Dong, Chunxuan Xia, Junyi Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
LLMBox: A Comprehensive Library for Large Language Models. CoRR abs/2407.05563 (2024) - [i43]Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR abs/2407.18743 (2024) - [i42]Michael Sun, Alston Lo, Wenhao Gao, Minghao Guo, Veronika Thost, Jie Chen, Connor W. Coley, Wojciech Matusik:
Syntax-Guided Procedural Synthesis of Molecules. CoRR abs/2409.05873 (2024) - [i41]Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen:
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning. CoRR abs/2410.04223 (2024) - [i40]Kiwhan Song, Mohamed Ali Dhraief, Muhua Xu, Locke Cai, Xuhao Chen, Arvind, Jie Chen:
Identifying Money Laundering Subgraphs on the Blockchain. CoRR abs/2410.08394 (2024) - [i39]Jinhao Jiang, Zhipeng Chen, Yingqian Min, Jie Chen, Xiaoxue Cheng, Jiapeng Wang, Yiru Tang, Haoxiang Sun, Jia Deng, Wayne Xin Zhao, Zheng Liu, Dong Yan, Jian Xie, Zhongyuan Wang, Ji-Rong Wen:
Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search. CoRR abs/2411.11694 (2024) - [i38]Yingqian Min, Zhipeng Chen, Jinhao Jiang, Jie Chen, Jia Deng, Yiwen Hu, Yiru Tang, Jiapeng Wang, Xiaoxue Cheng, Huatong Song, Wayne Xin Zhao, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen:
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems. CoRR abs/2412.09413 (2024) - [i37]Yiwen Hu, Huatong Song, Jia Deng, Jiapeng Wang, Jie Chen, Kun Zhou, Yutao Zhu, Jinhao Jiang, Zican Dong, Wayne Xin Zhao, Ji-Rong Wen:
YuLan-Mini: An Open Data-efficient Language Model. CoRR abs/2412.17743 (2024) - 2023
- [i36]Xiao Zang, Jie Chen, Bo Yuan:
GUAP: Graph Universal Attack Through Adversarial Patching. CoRR abs/2301.01731 (2023) - [i35]Zehao Niu, Mihai Anitescu, Jie Chen:
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning. CoRR abs/2302.05828 (2023) - [i34]Xinwei Zhang, Mingyi Hong, Jie Chen:
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data. CoRR abs/2303.09531 (2023) - [i33]Tim Kaler, Alexandros-Stavros Iliopoulos, Philip Murzynowski, Tao B. Schardl, Charles E. Leiserson, Jie Chen:
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching. CoRR abs/2305.03152 (2023) - [i32]Tengfei Ma, Trong Nghia Hoang, Jie Chen:
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs. CoRR abs/2306.01240 (2023) - [i31]Minghao Guo, Veronika Thost, Samuel W. Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik:
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction. CoRR abs/2309.01788 (2023) - 2022
- [i30]Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik:
Data-Efficient Graph Grammar Learning for Molecular Generation. CoRR abs/2203.08031 (2022) - 2021
- [i29]Chao Shang, Jie Chen, Jinbo Bi:
Discrete Graph Structure Learning for Forecasting Multiple Time Series. CoRR abs/2101.06861 (2021) - [i28]Veronika Thost, Jie Chen:
Directed Acyclic Graph Neural Networks. CoRR abs/2101.07965 (2021) - [i27]Yuliang Ji, Ru Huang, Jie Chen, Yuanzhe Xi:
Generating a Doppelganger Graph: Resembling but Distinct. CoRR abs/2101.09593 (2021) - [i26]Xiao Zang, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan:
Noise Injection-based Regularization for Point Cloud Processing. CoRR abs/2103.15027 (2021) - [i25]Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Ulrich Finkler:
Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. CoRR abs/2105.12655 (2021) - [i24]Jie Chen, Yousef Saad, Zechen Zhang:
Graph coarsening: From scientific computing to machine learning. CoRR abs/2106.11863 (2021) - [i23]Yangyang Xu, Yibo Xu, Yonggui Yan, Jie Chen:
Distributed stochastic inertial methods with delayed derivatives. CoRR abs/2107.11513 (2021) - [i22]Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen:
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining. CoRR abs/2110.08450 (2021) - 2020
- [i21]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. CoRR abs/2001.05314 (2020) - [i20]Xiao Zang, Yi Xie, Jie Chen, Bo Yuan:
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models. CoRR abs/2002.04784 (2020) - [i19]Yangyang Xu, Colin Sutcher-Shepard, Yibo Xu, Jie Chen:
Asynchronous parallel adaptive stochastic gradient methods. CoRR abs/2002.09095 (2020) - 2019
- [i18]Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson:
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. CoRR abs/1902.10191 (2019) - [i17]Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. CoRR abs/1903.05153 (2019) - [i16]Yue Yu, Jie Chen, Tian Gao, Mo Yu:
DAG-GNN: DAG Structure Learning with Graph Neural Networks. CoRR abs/1904.10098 (2019) - [i15]Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz:
IPC: A Benchmark Data Set for Learning with Graph-Structured Data. CoRR abs/1905.06393 (2019) - [i14]Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, Charles E. Leiserson:
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics. CoRR abs/1908.02591 (2019) - [i13]Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan:
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator. CoRR abs/1912.07742 (2019) - [i12]Stefan C. Schonsheck, Jie Chen, Rongjie Lai:
Chart Auto-Encoders for Manifold Structured Data. CoRR abs/1912.10094 (2019) - [i11]Tengfei Ma, Jie Chen:
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. CoRR abs/1912.11176 (2019) - 2018
- [i10]Jie Chen, Tengfei Ma, Cao Xiao:
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. CoRR abs/1801.10247 (2018) - [i9]Jie Chen, Ronny Luss:
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators. CoRR abs/1807.11880 (2018) - [i8]Tengfei Ma, Jie Chen, Cao Xiao:
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. CoRR abs/1809.02630 (2018) - [i7]Lingfei Wu, Ian En-Hsu Yen, Jie Chen, Rui Yan:
Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability. CoRR abs/1809.05247 (2018) - [i6]Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Adaptive Planner Scheduling with Graph Neural Networks. CoRR abs/1811.00210 (2018) - [i5]Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl:
Scalable Graph Learning for Anti-Money Laundering: A First Look. CoRR abs/1812.00076 (2018) - 2017
- [i4]Ruslan Shaydulin, Jie Chen, Ilya Safro:
Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning. CoRR abs/1710.06552 (2017) - 2016
- [i3]Jie Chen, Haim Avron, Vikas Sindhwani:
Hierarchically Compositional Kernels for Scalable Nonparametric Learning. CoRR abs/1608.00860 (2016) - [i2]Jie Chen, Dehua Cheng, Yan Liu:
On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps. CoRR abs/1610.08861 (2016) - 2009
- [i1]Jie Chen, Ilya Safro:
A Measure of the Connection Strengths between Graph Vertices with Applications. CoRR abs/0909.4275 (2009)
Coauthor Index
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