Jinjun Xiong

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 226

Top Venues

Publications

Bhavya, Shradha Sehgal, Jinjun Xiong, ChengXiang Zhai
AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction. EACL (1) (2024)
Dancheng Liu, Jinjun Xiong
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference. CoRR (2024)
Ruiyang Qin, Zheyu Yan, Dewen Zeng, Zhenge Jia, Dancheng Liu, Jianbo Liu, Zhi Zheng, Ningyuan Cao, Kai Ni, Jinjun Xiong, Yiyu Shi
Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures. CoRR (2024)
Kyrie Zhixuan Zhou, Zachary Kilhoffer, Madelyn Rose Sanfilippo, Ted Underwood, Ece Gumusel, Mengyi Wei, Abhinav Choudhry, Jinjun Xiong
"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education. CoRR (2024)
Aayushi Dangol, Yun Huang, Srirangaraj Setlur, Adele Smolansky, Hariharan Subramonyam, Hyewon Suh, Jinjun Xiong, Julie A. Kientz
AI-Driven Support for People with Speech & Language Difficulties. CHI Extended Abstracts (2024)
Ruiyang Qin, Dancheng Liu, Zheyu Yan, Zhaoxuan Tan, Zixuan Pan, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices. CoRR (2024)
Yue Wang, Jinjun Xiong, Shaofeng Zou
Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach. Trans. Mach. Learn. Res. 2024 (2024)
Changjae Lee, Jinjun Xiong
From Keyboard to Chatbot: An AI-powered Integration Platform with Large-Language Models for Teaching Computational Thinking for Young Children. CoRR (2024)
Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen
Infinite-Dimensional Feature Interaction. CoRR (2024)
Chenhui Xu, Xinyao Wang, Fuxun Yu, Jinjun Xiong, Xiang Chen
QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation. CoRR (2024)
Ruiyang Qin, Yuting Hu, Zheyu Yan, Jinjun Xiong, Ahmed Abbasi, Yiyu Shi
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models. CoRR (2024)
Jiajie Li, Jinjun Xiong
xMLP: Revolutionizing Private Inference with Exclusive Square Activation. CoRR (2024)
Dancheng Liu, Jinjun Xiong
FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data. CoRR (2024)
Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen
QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. ASPDAC (2024)
Dancheng Liu, Amir Nassereldine, Ziming Yang, Chenhui Xu, Yuting Hu, Jiajie Li, Utkarsh Kumar, Changjae Lee, Jinjun Xiong
Large Language Models have Intrinsic Self-Correction Ability. CoRR (2024)
Amir Nassereldine, Dancheng Liu, Chenhui Xu, Jinjun Xiong
PI-Whisper: An Adaptive and Incremental ASR Framework for Diverse and Evolving Speaker Characteristics. CoRR (2024)
Ruiyang Qin, Yuting Hu, Zheyu Yan, Jinjun Xiong, Ahmed Abbasi, Yiyu Shi
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models : (Invited Paper). ASPDAC (2024)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Can Language Models Be Specific? How? ACL (Findings) (2023)
Jeongmin Brian Park, Zaid Qureshi, Vikram S. Mailthody, Andrew Gacek, Shunfan Shao, Mohammad Almasri, Isaac Gelado, Jinjun Xiong, Chris J. Newburn, I-Hsin Chung, Michael Garland, Nikolay Sakharnykh, Wen-Mei W. Hwu
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs. CoRR (2023)
Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
Extensible and Efficient Proxy for Neural Architecture Search. ICCV (2023)
Mohammad Almasri, Yen-Hsiang Chang, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-mei W. Hwu
Parallelizing Maximal Clique Enumeration on GPUs. PACT (2023)
Jiajie Li, Jian Wang, Chen Wang, Jinjun Xiong
Image Harmonization with Diffusion Model. CoRR (2023)
Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network. NeurIPS (2023)
Samiran Kawtikwar, Mohammad Almasri, Wen-Mei Hwu, Rakesh Nagi, Jinjun Xiong
BEEP: Balanced Efficient subgraph Enumeration in Parallel. ICPP (2023)
Bhavya, Jinjun Xiong, Chengxiang Zhai
CAM: A Large Language Model-based Creative Analogy Mining Framework. WWW (2023)
Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Park, Jinjun Xiong, C. J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. ASPLOS (2) (2023)
Yue Wang, Yuting Hu, Jinjun Xiong, Shaofeng Zou
Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. CoRR (2023)
Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen
QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. CoRR (2023)
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP (2022)
Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. ASP-DAC (2022)
Mohammad Almasri, Yen-Hsiang Chang, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-mei W. Hwu
Parallelizing Maximal Clique Enumeration on GPUs. CoRR (2022)
Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Park, Jinjun Xiong, C. J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu
BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage. CoRR (2022)
Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu
Graph Neural Network Training and Data Tiering. KDD (2022)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML (2022)
Zhixuan Zhou, Jiao Sun, Jiaxin Pei, Nanyun Peng, Jinjun Xiong
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale. CoRR (2022)
Amir Nassereldine, Patrick Chen, Jinjun Xiong
Excel Spreadsheet Analyzer. CoRR (2022)
Xiaofan Zhang, Yuan Ma, Jinjun Xiong, Wen-Mei W. Hwu, Volodymyr V. Kindratenko, Deming Chen
Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (6) (2022)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. MLSys (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP (2022)
Yuhong Li, Jiajie Li, Cong Han, Pan Li, Jinjun Xiong, Deming Chen
Extensible Proxy for Efficient NAS. CoRR (2022)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. CoRR (2022)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. CoRR (2022)
Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
Parallel K-clique counting on GPUs. ICS (2022)
Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
Open Relation Modeling: Learning to Define Relations between Entities. ACL (Findings) (2022)
Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. NAACL-HLT (2022)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. CoRR (2022)
Tianchen Wang, Jiawei Zhang, Jinjun Xiong, Song Bian, Zheyu Yan, Meiping Huang, Jian Zhuang, Takashi Sato, Xiaowei Xu, Yiyu Shi
VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks. IEEE Trans. Computers 71 (11) (2022)
Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. CoRR (2022)
Omer Anjum, Alok Kamatar, Toby Liang, Jinjun Xiong, Wen-Mei Hwu
Submission-Aware Reviewer Profiling for Reviewer Recommender System. CoRR (2022)
Vibhor Dodeja, Mohammad Almasri, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
PARSEC: PARallel Subgraph Enumeration in CUDA. IPDPS (2022)
Yao Chen, Junhao Pan, Xinheng Liu, Jinjun Xiong, Deming Chen
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation. CoRR (2022)
Bhavya, Jinjun Xiong, Chengxiang Zhai
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. CoRR (2022)
Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He
Contrastive Learning with Complex Heterogeneity. KDD (2022)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Can Language Models Be Specific? How? CoRR (2022)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. ICLR (2022)
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR (2022)
Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin-Yu Chen
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
Efficient Methods for Mapping Neural Machine Translator on FPGAs. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CVPR Workshops (2021)
Omer Anjum, Mohammad Almasri, Jinjun Xiong, Wen-Mei W. Hwu
PhraseScope: An Effective and Unsupervised Framework for Mining High Quality Phrases. SDM (2021)
Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. Proc. VLDB Endow. 14 (11) (2021)
Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design. CoRR (2021)
Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. CoRR (2021)
Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. CoRR (2021)
Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. CoRR (2021)
Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. CoRR (2021)
Yen-Hsiang Chang, Jianhao Pu, Wen-Mei W. Hwu, Jinjun Xiong
MLHarness: A Scalable Benchmarking System for MLCommons. CoRR (2021)
Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu
K-Clique Counting on GPUs. CoRR (2021)
Vikram Sharma Mailthody, James Wei, Nicholas Chen, Mohammad Behnia, Ruihao Yao, Qihao Wang, Vedant Agrawal, Churan He, Lijian Wang, Leihao Chen, Amit Agarwal, Edward Richter, Wen-Mei Hwu, Christopher W. Fletcher, Jinjun Xiong, Andrew Miller, Sanjay Patel
Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19. CoRR (2021)
Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign. IEEE Des. Test 38 (4) (2021)
Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong
Heterogeneous Contrastive Learning. CoRR (2021)
Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes. HPDC (2021)
Luca Benini, Deming Chen, Jinjun Xiong, Zhiru Zhang
Guest Editors' Introduction: Machine Intelligence at the Edge. IEEE Des. Test 38 (4) (2021)
Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson
Global Rhythm Style Transfer Without Text Transcriptions. CoRR (2021)
Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
Generic Neural Architecture Search via Regression. NeurIPS (2021)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. DAC (2021)
Himchan Park, Jinjun Xiong, Min-Soo Kim
Trillion-scale Graph Processing Simulation based on Top-Down Graph Upscaling. ICDE (2021)
Mohammad Almasri, Neo Vasudeva, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
HyKernel: A Hybrid Selection of One/Two-Phase Kernels for Triangle Counting on GPUs. HPEC (2021)
Ashutosh Dhar, Paul Reckamp, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. ARC (2021)
Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David Cox, Mark Hasegawa-Johnson
Global Prosody Style Transfer Without Text Transcriptions. ICML (2021)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks. CoRR (2021)
Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. ACL/IJCNLP (1) (2021)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. CoRR (2021)
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks. NeurIPS (2021)
Weiwen Jiang, Jinjun Xiong, Yiyu Shi
When Machine Learning Meets Quantum Computers: A Case Study. ASP-DAC (2021)
Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. CoRR (2021)
Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
Generic Neural Architecture Search via Regression. CoRR (2021)
Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
Interpretable Visual Reasoning via Induced Symbolic Space. ICCV (2021)
Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-mei W. Hwu
Graph Neural Network Training with Data Tiering. CoRR (2021)
Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CoRR (2021)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu
Open Relation Modeling: Learning to Define Relations between Entities. CoRR (2021)
Zirui Xu, Jinjun Xiong, Fuxun Yu, Xiang Chen
Efficient Neural Network Implementation with Quadratic Neuron. CoRR (2020)
Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
Fast CUDA-Aware MPI Datatypes without Platform Support. CoRR (2020)
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. ECCV (23) (2020)
Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-Mei Hwu
At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation. HPEC (2020)
Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CoRR (2020)
Weiwen Jiang, Jinjun Xiong, Yiyu Shi
Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits. CoRR (2020)
Tianchen Wang, Xiaowei Xu, Jinjun Xiong, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation. CoRR (2020)
Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. DAC (2020)
Yukun Ding, Jinglan Liu, Xiaowei Xu, Meiping Huang, Jian Zhuang, Jinjun Xiong, Yiyu Shi
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation. MIDL (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jinjun Xiong