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- affiliation: University at Buffalo, Buffalo, NY, USA
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2020 – today
- 2024
[j38]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)- [c163]Yuan Ma, Scott Smith, Bill Gropp, Hubertus Franke, Bharat Sukhwani, Sameh W. Asaad, Jinjun Xiong, Volodymyr V. Kindratenko, Deming Chen:
UniNet: Accelerating the Container Network Data Plane in IaaS Clouds. CLOUD 2024: 115-127 - [c162]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: 19-25 - [c161]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: 429-434 - [c160]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: 573:1-573:4 - [c159]Bhavya, Shradha Sehgal, Jinjun Xiong, ChengXiang Zhai:
AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction. EACL (1) 2024: 1723-1737 - [i103]Dancheng Liu, Jinjun Xiong:
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference. CoRR abs/2401.10859 (2024) - [i102]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 abs/2401.12453 (2024) - [i101]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 abs/2402.06696 (2024) - [i100]Jiajie Li, Jinjun Xiong:
xMLP: Revolutionizing Private Inference with Exclusive Square Activation. CoRR abs/2403.08024 (2024) - [i99]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 abs/2405.00750 (2024) - [i98]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 abs/2405.03192 (2024) - [i97]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 abs/2405.04700 (2024) - [i96]Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen:
Infinite-Dimensional Feature Interaction. CoRR abs/2405.13972 (2024) - [i95]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 abs/2406.03777 (2024) - [i94]Amir Nassereldine, Dancheng Liu, Chenhui Xu, Jinjun Xiong:
PI-Whisper: An Adaptive and Incremental ASR Framework for Diverse and Evolving Speaker Characteristics. CoRR abs/2406.15668 (2024) - [i93]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 abs/2406.15673 (2024) - [i92]Dancheng Liu, Jinjun Xiong:
FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data. CoRR abs/2406.17926 (2024) - 2023
- [c158]Mohammad Almasri, Yen-Hsiang Chang, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-mei W. Hwu:
Parallelizing Maximal Clique Enumeration on GPUs. PACT 2023: 162-175 - [c157]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Can Language Models Be Specific? How? ACL (Findings) 2023: 716-727 - [c156]Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris 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: 325-339 - [c155]Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Extensible and Efficient Proxy for Neural Architecture Search. ICCV 2023: 6176-6187 - [c154]Samiran Kawtikwar, Mohammad Almasri, Wen-Mei Hwu, Rakesh Nagi, Jinjun Xiong:
BEEP: Balanced Efficient subgraph Enumeration in Parallel. ICPP 2023: 142-152 - [c153]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 - [c152]Bhavya, Jinjun Xiong, Chengxiang Zhai:
CAM: A Large Language Model-based Creative Analogy Mining Framework. WWW 2023: 3903-3914 - [i91]Yue Wang, Yuting Hu, Jinjun Xiong, Shaofeng Zou:
Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. CoRR abs/2305.13289 (2023) - [i90]Jiajie Li, Jian Wang, Chen Wang, Jinjun Xiong:
Image Harmonization with Diffusion Model. CoRR abs/2306.10441 (2023) - [i89]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 abs/2307.03760 (2023) - [i88]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 abs/2311.17956 (2023) - 2022
- [j37]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): 2717-2727 (2022) - [j36]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): 1606-1619 (2022) - [c151]Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu:
Open Relation Modeling: Learning to Define Relations between Entities. ACL (Findings) 2022: 297-308 - [c150]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: 140-146 - [c149]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP 2022: 3994-4004 - [c148]Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP 2022: 6686-6698 - [c147]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 - [c146]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML 2022: 13014-13051 - [c145]Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu:
Parallel K-clique counting on GPUs. ICS 2022: 21:1-21:14 - [c144]Vibhor Dodeja, Mohammad Almasri, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu:
PARSEC: PARallel Subgraph Enumeration in CUDA. IPDPS 2022: 168-178 - [c143]Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He:
Contrastive Learning with Complex Heterogeneity. KDD 2022: 2594-2604 - [c142]Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu:
Graph Neural Network Training and Data Tiering. KDD 2022: 3555-3565 - [c141]Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen:
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. MLSys 2022 - [c140]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: 587-599 - [e2]Tulika Mitra, Evangeline F. Y. Young, Jinjun Xiong:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2022, San Diego, California, USA, 30 October 2022 - 3 November 2022. ACM 2022, ISBN 978-1-4503-9217-4 [contents] - [d1]Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelago, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris 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. Zenodo, 2022
- [i87]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 abs/2201.08514 (2022) - [i86]Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris 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 abs/2203.04910 (2022) - [i85]Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen:
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. CoRR abs/2204.01701 (2022) - [i84]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 abs/2205.01094 (2022) - [i83]Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR abs/2205.10479 (2022) - [i82]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. CoRR abs/2207.03584 (2022) - [i81]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 abs/2208.00763 (2022) - [i80]Bhavya, Jinjun Xiong, Chengxiang Zhai:
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. CoRR abs/2210.04186 (2022) - [i79]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Can Language Models Be Specific? How? CoRR abs/2210.05159 (2022) - [i78]Yuhong Li, Jiajie Li, Cong Han, Pan Li, Jinjun Xiong, Deming Chen:
Extensible Proxy for Efficient NAS. CoRR abs/2210.09459 (2022) - [i77]Omer Anjum, Alok Kamatar, Toby Liang, Jinjun Xiong, Wen-Mei Hwu:
Submission-Aware Reviewer Profiling for Reviewer Recommender System. CoRR abs/2211.04194 (2022) - [i76]Amir Nassereldine, Patrick Chen, Jinjun Xiong:
Excel Spreadsheet Analyzer. CoRR abs/2211.06333 (2022) - [i75]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 abs/2211.14358 (2022) - [i74]Mohammad Almasri, Yen-Hsiang Chang, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-mei W. Hwu:
Parallelizing Maximal Clique Enumeration on GPUs. CoRR abs/2212.01473 (2022) - 2021
- [j35]Luca Benini, Deming Chen, Jinjun Xiong, Zhiru Zhang:
Guest Editors' Introduction: Machine Intelligence at the Edge. IEEE Des. Test 38(4): 5-6 (2021) - [j34]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): 7-26 (2021) - [j33]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): 2087-2100 (2021) - [j32]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): 2622-2635 (2021) - [j31]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): 1866-1877 (2021) - [c139]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: 3641-3651 - [c138]Ashutosh Dhar, Paul Reckamp, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. ARC 2021: 254-264 - [c137]Weiwen Jiang, Jinjun Xiong, Yiyu Shi:
When Machine Learning Meets Quantum Computers: A Case Study. ASP-DAC 2021: 593-598 - [c136]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: 2378-2387 - [c135]Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen:
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. DAC 2021: 997-1002 - [c134]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: 95-106 - [c133]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: 1-7 - [c132]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: 1858-1867 - [c131]Himchan Park, Jinjun Xiong, Min-Soo Kim:
Trillion-scale Graph Processing Simulation based on Top-Down Graph Upscaling. ICDE 2021: 1512-1523 - [c130]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Prosody Style Transfer Without Text Transcriptions. ICML 2021: 8650-8660 - [c129]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: 2707-2720 - [c128]Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Generic Neural Architecture Search via Regression. NeurIPS 2021: 20476-20490 - [c127]Omer Anjum, Mohammad Almasri, Jinjun Xiong, Wen-Mei W. Hwu:
PhraseScope: An Effective and Unsupervised Framework for Mining High Quality Phrases. SDM 2021: 639-647 - [e1]Gang Qu, Jinjun Xiong, Danella Zhao, Venki Muthukumar, Md Farhadur Reza, Ramalingam Sridhar:
34th IEEE International System-on-Chip Conference, SOCC 2021, Las Vegas, NV, USA, September 14-17, 2021. IEEE 2021, ISBN 978-1-6654-2931-3 [contents] - [i73]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 abs/2101.07897 (2021) - [i72]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 abs/2101.07956 (2021) - [i71]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 abs/2103.03330 (2021) - [i70]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 abs/2103.15750 (2021) - [i69]Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei W. Hwu:
K-Clique Counting on GPUs. CoRR abs/2104.13209 (2021) - [i68]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 abs/2104.14082 (2021) - [i67]Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong:
Heterogeneous Contrastive Learning. CoRR abs/2105.09401 (2021) - [i66]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 abs/2105.13255 (2021) - [i65]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Rhythm Style Transfer Without Text Transcriptions. CoRR abs/2106.08519 (2021) - [i64]Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Generic Neural Architecture Search via Regression. CoRR abs/2108.01899 (2021) - [i63]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu:
Open Relation Modeling: Learning to Define Relations between Entities. CoRR abs/2108.09241 (2021) - [i62]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 abs/2109.03430 (2021) - [i61]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 abs/2109.03806 (2021) - [i60]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 abs/2110.05667 (2021) - [i59]Yen-Hsiang Chang, Jianhao Pu, Wen-Mei W. Hwu, Jinjun Xiong:
MLHarness: A Scalable Benchmarking System for MLCommons. CoRR abs/2111.05231 (2021) - [i58]Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-mei W. Hwu:
Graph Neural Network Training with Data Tiering. CoRR abs/2111.05894 (2021) - [i57]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 abs/2112.13972 (2021) - 2020
- [j30]Ren Wang, Meng Wang, Jinjun Xiong:
Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. EURASIP J. Adv. Signal Process. 2020(1): 22 (2020) - [j29]Ren Wang, Meng Wang, Jinjun Xiong:
Tensor recovery from noisy and multi-level quantized measurements. EURASIP J. Adv. Signal Process. 2020(1): 41 (2020) - [j28]Fenglei Fan, Jinjun Xiong, Ge Wang:
Universal approximation with quadratic deep networks. Neural Networks 124: 383-392 (2020) - [j27]Seungwon Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei Hwu:
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. Proc. VLDB Endow. 14(2): 114-127 (2020) - [c126]Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei W. Hwu:
The Design and Implementation of a Scalable Deep Learning Benchmarking Platform. CLOUD 2020: 414-425 - [c125]Rajarshi Haldar, Lingfei Wu, Jinjun Xiong, Julia Hockenmaier:
A Multi-Perspective Architecture for Semantic Code Search. ACL 2020: 8563-8568 - [c124]Ren Wang, Meng Wang, Jinjun Xiong:
Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. ACSSC 2020: 923-928 - [c123]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent. CISS 2020: 1-6 - [c122]Omer Anjum, Chak Ho Chan, Tanitpong Lawphongpanich, Yucheng Liang, Tianyi Tang, Shuchen Zhang, Wen-Mei Hwu, Jinjun Xiong, Sanjay Patel:
Vertext: An End-to-end AI Powered Conversation Management System for Multi-party Chat Platforms. CSCW Companion 2020: 1-6 - [c121]Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi:
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off. CVPR Workshops 2020: 22-31 - [c120]Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CVPR Workshops 2020: 4043-4047 - [c119]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CVPR 2020: 12632-12641 - [c118]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: 1-6 - [c117]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: 222-238 - [c116]Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong:
Exploring Semantic Capacity of Terms. EMNLP (1) 2020: 8509-8518 - [c115]Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. ACM Great Lakes Symposium on VLSI 2020: 283-290 - [c114]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: 1-7 - [c113]Jinjun Xiong, Huamin Chen:
Challenges for Building a Cloud Native Scalable and Trustable Multi-tenant AIoT Platform. ICCAD 2020: 26:1-26:8 - [c112]Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. ICCAD 2020: 61:1-61:9 - [c111]