Post global routing RLC crosstalk budgeting. - Jinjun Xiong; Jun Chen 008; James D. Z. Ma; Lei He 001 (ICCAD, 2002)

Effects of Load and Speed on Lumbar Vertebral Kinematics during Lifting Motions. - Xudong Zhang; Jinjun Xiong; Angela M. Bishop (Hum. Factors, 2003)

Performance and RLC crosstalk driven global routing. - Ling Zhang; Tong Jing; Xianlong Hong; Jingyu Xu 001; Jinjun Xiong; Lei He 001 (ISCAS (5), 2004)

Shielding area optimization under the solution of interconnect crosstalk. - Xin Zhao; Yici Cai; Qiang Zhou 001; Xianlong Hong; Lei He 001; Jinjun Xiong (ISCAS (5), 2004)

On optimal physical synthesis of sleep transistors. - Changbo Long; Jinjun Xiong; Lei He 001 (ISPD, 2004)

Full-chip routing optimization with RLC crosstalk budgeting. - Jinjun Xiong; Lei He 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2004)

A Min-area Solution to Performance and RLC Crosstalk Driven Global Routing Problem. - Tong Jing; Ling Zhang; Jinghong Liang; Jingyu Xu 001; Xianlong Hong; Jinjun Xiong; Lei He 001 (ASP-DAC, 2005)

Probabilistic congestion model considering shielding for crosstalk reduction. - Jinjun Xiong; Lei He 001 (ASP-DAC, 2005)

Buffer Insertion Considering Process Variation. - Jinjun Xiong; King Ho Tam; Lei He 001 (DATE, 2005)

Simultaneous buffer insertion and wire sizing considering systematic CMP variation and random leff variation. - Lei He 001; Andrew B. Kahng; King Ho Tam; Jinjun Xiong (ISPD, 2005)

Extended global routing with RLC crosstalk constraints. - Jinjun Xiong; Lei He 001 (IEEE Trans. Very Large Scale Integr. Syst., 2005)

Techniques of Power-gating to Kill Sub-Threshold Leakage. - Changbo Long; Jinjun Xiong; Yongpan Liu (APCCAS, 2006)

Constraint driven I/O planning and placement for chip-package co-design. - Jinjun Xiong; Yiu-Chung Wong; Egino Sarto; Lei He 001 (ASP-DAC, 2006)

Criticality computation in parameterized statistical timing. - Jinjun Xiong; Vladimir Zolotov; Natesan Venkateswaran; Chandu Visweswariah (DAC, 2006)

FPGA Performance Optimization Via Chipwise Placement Considering Process Variations. - Lerong Cheng; Jinjun Xiong; Lei He 001; Mike Hutton (FPL, 2006)

Fast buffer insertion considering process variations. - Jinjun Xiong; Lei He 001 (ISPD, 2006)

DpRouter: A Fast and Accurate Dynamic-Pattern-Based Global Routing Algorithm. - Zhen Cao; Tong Jing; Jinjun Xiong; Yu Hu 002; Lei He 001; Xianlong Hong (ASP-DAC, 2007)

Non-Linear Statistical Static Timing Analysis for Non-Gaussian Variation Sources. - Lerong Cheng; Jinjun Xiong; Lei He 001 (DAC, 2007)

Variation-aware performance verification using at-speed structural test and statistical timing. - Vikram Iyengar; Jinjun Xiong; Subbayyan Venkatesan; Vladimir Zolotov; David E. Lackey; Peter A. Habitz; Chandu Visweswariah (ICCAD, 2007)

Compact modeling of variational waveforms. - Vladimir Zolotov; Jinjun Xiong; Soroush Abbaspour; David J. Hathaway; Chandu Visweswariah (ICCAD, 2007)

Full-chip multilevel routing for power and signal integrity. - Jinjun Xiong; Lei He 001 (Integr., 2007)

Simultaneous Buffer Insertion and Wire Sizing Considering Systematic CMP Variation and Random Leff Variation. - Lei He 001; Andrew B. Kahng; King Ho Tam; Jinjun Xiong (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007)

Probabilistic Transitive-Closure Ordering and Its Application on Variational Buffer Insertion. - Jinjun Xiong; Lei He 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007)

Robust Extraction of Spatial Correlation. - Jinjun Xiong; Vladimir Zolotov; Lei He 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007)

Static timing: Back to our roots. - Ruiming Chen; Lizheng Zhang; Vladimir Zolotov; Chandu Visweswariah; Jinjun Xiong (ASP-DAC, 2008)

Incremental Criticality and Yield Gradients. - Jinjun Xiong; Vladimir Zolotov; Chandu Visweswariah (DATE, 2008)

Optimal Margin Computation for At-Speed Test. - Jinjun Xiong; Vladimir Zolotov; Chandu Visweswariah; Peter A. Habitz (DATE, 2008)

An Efficient Method for Chip-Level Statistical Capacitance Extraction Considering Process Variations with Spatial Correlation. - Wangyang Zhang; Wenjian Yu; Zeyi Wang; Zhiping Yu; Rong Jiang; Jinjun Xiong (DATE, 2008)

Statistical Modeling and Analysis of Static Leakage and Dynamic Switching Power. - Howard Chen 001; Scott Neely; Jinjun Xiong; Vladimir Zolotov; Chandu Visweswariah (PATMOS, 2008)

Fashion: A Fast and Accurate Solution to Global Routing Problem. - Zhen Cao; Tong Jing; Jinjun Xiong; Yu Hu 002; Zhe Feng 002; Lei He 001; Xianlong Hong (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008)

Efficient Decoupling Capacitance Budgeting Considering Operation and Process Variations. - Yiyu Shi 001; Jinjun Xiong; Chunchen Liu; Lei He 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008)

Stochastic current prediction enabled frequency actuator for runtime resonance noise reduction. - Yiyu Shi 001; Jinjun Xiong; Howard Chen 001; Lei He 001 (ASP-DAC, 2009)

Incremental and on-demand random walk for iterative power distribution network analysis. - Yiyu Shi 001; Wei Yao 002; Jinjun Xiong; Lei He 001 (ASP-DAC, 2009)

Statistical multilayer process space coverage for at-speed test. - Jinjun Xiong; Yiyu Shi 001; Vladimir Zolotov; Chandu Visweswariah (DAC, 2009)

Statistical ordering of correlated timing quantities and its application for path ranking. - Jinjun Xiong; Chandu Visweswariah; Vladimir Zolotov (DAC, 2009)

Voltage binning under process variation. - Vladimir Zolotov; Chandu Visweswariah; Jinjun Xiong (ICCAD, 2009)

Statistical Power Analysis for High-Performance Processors. - Howard Chen 001; Scott Neely; Jinjun Xiong; Vladimir Zolotov; Chandu Visweswariah (J. Low Power Electron., 2009)

Non-Gaussian Statistical Timing Analysis Using Second-Order Polynomial Fitting. - Lerong Cheng; Jinjun Xiong; Lei He 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009)

Optimal Test Margin Computation for At-Speed Structural Test. - Jinjun Xiong; Vladimir Zolotov; Chandu Visweswariah; Peter A. Habitz (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009)

Transistor sizing of custom high-performance digital circuits with parametric yield considerations. - Daniel K. Beece; Jinjun Xiong; Chandu Visweswariah; Vladimir Zolotov; Yifang Liu (DAC, 2010)

A linear algorithm for full-chip statistical leakage power analysis considering weak spatial correlation. - Ruijing Shen; Sheldon X.-D. Tan; Jinjun Xiong (DAC, 2010)

A linear statistical analysis for full-chip leakage power with spatial correlation. - Ruijing Shen; Sheldon X.-D. Tan; Jinjun Xiong (ACM Great Lakes Symposium on VLSI, 2010)

Statistical Path Selection for At-Speed Test. - Vladimir Zolotov; Jinjun Xiong; Hanif Fatemi; Chandu Visweswariah (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010)

Path criticality computation in parameterized statistical timing analysis. - Jaeyong Chung; Jinjun Xiong; Vladimir Zolotov; Jacob A. Abraham (ASP-DAC, 2011)

Acceleration of Multi-agent Simulation on FPGAs. - Lintao Cui; Jing Chen; Yu Hu 002; Jinjun Xiong; Zhe Feng 002; Lei He 001 (FPL, 2011)

Optimal statistical chip disposition. - Vladimir Zolotov; Jinjun Xiong (ICCAD, 2011)

Contingency constrained economic dispatch in smart grids with correlated demands. - Yiyu Shi 001; Jinjun Xiong (SmartGridComm, 2011)

Runtime Resonance Noise Reduction with Current Prediction Enabled Frequency Actuator. - Yiyu Shi 001; Jinjun Xiong; Howard Chen 001; Lei He 001 (IEEE Trans. Very Large Scale Integr. Syst., 2011)

A distributed scheme for fair EV charging under transmission constraints. - Dzung T. Phan; Jinjun Xiong; Soumyadip Ghosh (ACC, 2012)

Reversible statistical max/min operation: concept and applications to timing. - Debjit Sinha; Chandu Visweswariah; Natesan Venkateswaran; Jinjun Xiong; Vladimir Zolotov (DAC, 2012)

Timing analysis with nonseparable statistical and deterministic variations. - Vladimir Zolotov; Debjit Sinha; Jeffrey G. Hemmett; Eric A. Foreman; Chandu Visweswariah; Jinjun Xiong; Jeremy Leitzen; Natesan Venkateswaran (DAC, 2012)

A dynamic method for efficient random mismatch characterization of standard cells. - Wangyang Zhang; Amith Singhee; Jinjun Xiong; Peter A. Habitz; Amol Joshi; Chandu Visweswariah; James Sundquist (ICCAD, 2012)

Path Criticality Computation in Parameterized Statistical Timing Analysis Using a Novel Operator. - Jaeyong Chung; Jinjun Xiong; Vladimir Zolotov; Jacob A. Abraham (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012)

Testability-Driven Statistical Path Selection. - Jaeyong Chung; Jinjun Xiong; Vladimir Zolotov; Jacob A. Abraham (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012)

Fast Statistical Full-Chip Leakage Analysis for Nanometer VLSI Systems. - Ruijing Shen; Sheldon X.-D. Tan; Hai Wang 002; Jinjun Xiong (ACM Trans. Design Autom. Electr. Syst., 2012)

Fourier Series Approximation for Max Operation in Non-Gaussian and Quadratic Statistical Static Timing Analysis. - Lerong Cheng; Fang Gong; Wenyao Xu; Jinjun Xiong; Lei He 001; Majid Sarrafzadeh (IEEE Trans. Very Large Scale Integr. Syst., 2012)

Eagle-eye: a near-optimal statistical framework for noise sensor placement. - Tao Wang; Chun Zhang; Jinjun Xiong; Yiyu Shi 001 (ICCAD, 2013)

Order statistics for correlated random variables and its application to at-speed testing. - Yiyu Shi 001; Jinjun Xiong; Vladimir Zolotov; Chandu Visweswariah (ACM Trans. Design Autom. Electr. Syst., 2013)

MSim: A general cycle accurate simulation platform for memcomputing studies. - Chun Zhang; Peng Deng; Hui Geng; Jianming Liu 001; Qi Zhu 002; Jinjun Xiong; Yiyu Shi 001 (DATE, 2014)

Variation aware optimal threshold voltage computation for on-chip noise sensors. - Tao Wang; Chun Zhang; Jinjun Xiong; Pei-Wen Luo; Liang-Chia Cheng; Yiyu Shi 001 (ICCAD, 2014)

Real time anomaly detection in wide area monitoring of smart grids. - Jie Wu 023; Jinjun Xiong; Prasenjit Shil; Yiyu Shi 001 (ICCAD, 2014)

Ambiguity group based location recognition for multiple power line outages in smart grids. - Jie Wu 023; Jinjun Xiong; Yiyu Shi 001 (ISGT, 2014)

Novel geospatial interpolation analytics for general meteorological measurements. - Bingsheng Wang; Jinjun Xiong (KDD, 2014)

Optimal PMU placement for identification of multiple power line outages in smart grids. - Jie Wu 023; Jinjun Xiong; Prasenjit Shil; Yiyu Shi 001 (MWSCAS, 2014)

A novel grid load management technique using electric water heaters and Q-learning. - Khalid Al-Jabery; Donald C. Wunsch; Jinjun Xiong; Yiyu Shi 001 (SmartGridComm, 2014)

On the Deployment of On-Chip Noise Sensors. - Tao Wang; Chun Zhang; Jinjun Xiong; Yiyu Shi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2014)

A Resource Supply-Demand based Approach for Automatic MapReduce Job Optimization. - Jinjun Xiong; Dzung T. Phan; David Kung (HPCC/CSS/ICESS, 2015)

Modern Big Data Analytics for "Old-fashioned" Semiconductor Industry Applications. - Yada Zhu; Jinjun Xiong (ICCAD, 2015)

Optimal selected phasor measurement units for identifying multiple line outages in smart grid. - Jie Wu 023; Jinjun Xiong; Prasenjit Shil; Yiyu Shi 001 (ISGT, 2015)

Multi-threading based parallel dynamic simulator for transient behavior analysis of power systems. - Jie Wu 023; Peter Feldmann; Jinjun Xiong; Yiyu Shi 001 (SmartGridComm, 2015)

Novel applications of deep learning hidden features for adaptive testing. - Bingjun Xiao; Jinjun Xiong; Yiyu Shi 001 (ASP-DAC, 2016)

Asset health management using predictive and prescriptive analytics for the electric power grid. - Aanchal Goyal; Ernauli C. Aprilia; Geert Janssen; Younghun Kim; Tarun Kumar; Richard Mueller; Dzung Phan; Abhishek Raman; Jeroen D. Schuddebeurs; Jinjun Xiong; Rui Zhang (IBM J. Res. Dev., 2016)

On the Optimal Threshold Voltage Computation of On-Chip Noise Sensors. - Tao Wang; Chun Zhang; Jinjun Xiong; Pei-Wen Luo; Liang-Chia Cheng; Yiyu Shi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Collaborative (CPU + GPU) algorithms for triangle counting and truss decomposition on the Minsky architecture: Static graph challenge: Subgraph isomorphism. - Ketan Date; Keven Feng; Rakesh Nagi; Jinjun Xiong; Nam Sung Kim; Wen-Mei W. Hwu (HPEC, 2017)

Rebooting the Data Access Hierarchy of Computing Systems. - Wen-mei W. Hwu; Izzat El Hajj; Simon Garcia De Gonzalo; Carl Pearson; Nam Sung Kim; Deming Chen; Jinjun Xiong; Zehra Sura (ICRC, 2017)

Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts. - Raymond A. Yeh; Jinjun Xiong; Wen-Mei W. Hwu; Minh N. Do; Alexander G. Schwing (NIPS, 2017)

Heterogeneous Computing Meets Near-Memory Acceleration and High-Level Synthesis in the Post-Moore Era. - Nam Sung Kim; Deming Chen; Jinjun Xiong; Wen-mei W. Hwu (IEEE Micro, 2017)

Demand-Side Management of Domestic Electric Water Heaters Using Approximate Dynamic Programming. - Khalid Al-Jabery; Zhezhao Xu; Wenjian Yu; Donald C. Wunsch; Jinjun Xiong; Yiyu Shi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Document Similarity for Texts of Varying Lengths via Hidden Topics. - Hongyu Gong; Tarek Sakakini; Suma Bhat; Jinjun Xiong (ACL (1), 2018)

Large-scale short-term urban taxi demand forecasting using deep learning. - Siyu Liao; Liutong Zhou; Xuan Di; Bo Yuan 001; Jinjun Xiong (ASP-DAC, 2018)

Tutorial-1: Machine learning and deep learning. - Jinjun Xiong (ASP-DAC, 2018)

Biomedical Image Segmentation Using Fully Convolutional Networks on TrueNorth. - Indranil Palit; Lin Yang 003; Yue Ma 001; Danny Z. Chen; Michael T. Niemier; Jinjun Xiong; Xiaobo Sharon Hu (CBMS, 2018)

Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability. - Yukun Ding; Jinglan Liu; Jinjun Xiong; Meng Jiang 001; Yiyu Shi 001 (CIKM, 2018)

The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues. - Michele Merler; Dhiraj Joshi; Khoi-Nguyen C. Mac; Quoc-Bao Nguyen; Stephen Hammer; John Kent; Jinjun Xiong; Minh N. Do; John R. Smith; Rogério Schmidt Feris (CVPR Workshops, 2018)

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. - Bowen Cheng; Yunchao Wei; Honghui Shi; Rogério Schmidt Feris; Jinjun Xiong; Thomas S. Huang (ECCV (15), 2018)

TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. - Yunchao Wei; Zhiqiang Shen; Bowen Cheng; Honghui Shi; Jinjun Xiong; Jiashi Feng; Thomas S. Huang (ECCV (11), 2018)

AccDNN: An IP-Based DNN Generator for FPGAs. - Xiaofan Zhang 001; Junsong Wang; Chao Zhu; Yonghua Lin; Jinjun Xiong; Wen-Mei W. Hwu; Deming Chen (FCCM, 2018)

Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs. - Chuanhao Zhuge; Xinheng Liu; Xiaofan Zhang 001; Sudeep Gummadi; Jinjun Xiong; Deming Chen (ACM Great Lakes Symposium on VLSI, 2018)

Triangle Counting and Truss Decomposition using FPGA. - Sitao Huang; Mohamed El-Hadedy 001; Cong Hao; Qin Li; Vikram S. Mailthody; Ketan Date; Jinjun Xiong; Deming Chen; Rakesh Nagi; Wen-Mei Hwu (HPEC, 2018)

Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition. - Vikram S. Mailthody; Ketan Date; Zaid Qureshi; Carl Pearson; Rakesh Nagi; Jinjun Xiong; Wen-Mei Hwu (HPEC, 2018)

DNNBuilder: an automated tool for building high-performance DNN hardware accelerators for FPGAs. - Xiaofan Zhang 001; Junsong Wang; Chao Zhu; Yonghua Lin; Jinjun Xiong; Wen-Mei W. Hwu; Deming Chen (ICCAD, 2018)

Computational Creativity for Valid Rube Goldberg Machines. - Jinjun Xiong; Xiou Ge; Lav R. Varshney (ICCC, 2018)

Application-Transparent Near-Memory Processing Architecture with Memory Channel Network. - Mohammad Alian; Seungwon Min; Hadi Asgharimoghaddam; Ashutosh Dhar; Dong Kai Wang; Thomas Roewer; Adam J. McPadden; Oliver O'Halloran; Deming Chen; Jinjun Xiong; Daehoon Kim; Wen-Mei W. Hwu; et al. (MICRO, 2018)

NUMA-Aware Data-Transfer Measurements for Power/NVLink Multi-GPU Systems. - Carl Pearson; I-Hsin Chung; Zehra Sura; Wen-Mei Hwu; Jinjun Xiong (ISC Workshops, 2018)

TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. - Yunchao Wei; Zhiqiang Shen; Bowen Cheng; Honghui Shi; Jinjun Xiong; Jiashi Feng; Thomas S. Huang (CoRR, 2018)

SCOPE: C3SR Systems Characterization and Benchmarking Framework. - Carl Pearson; Abdul Dakkak; Cheng Li 014; Sarah Hashash; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2018)

Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection. - Bowen Cheng; Yunchao Wei; Rogério Schmidt Feris; Jinjun Xiong; Wen-mei W. Hwu; Thomas S. Huang; Honghui Shi (CoRR, 2018)

Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. - Khoi-Nguyen C. Mac; Dhiraj Joshi; Raymond A. Yeh; Jinjun Xiong; Rogério Schmidt Feris; Minh N. Do (CoRR, 2018)

A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization. - Bowen Cheng; Yunchao Wei; Jiahui Yu; Shiyu Chang; Jinjun Xiong; Wen-Mei W. Hwu; Thomas S. Huang; Humphrey Shi (CoRR, 2018)

TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments. - Abdul Dakkak; Cheng Li 014; Simon Garcia De Gonzalo; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2018)

MLModelScope: Evaluate and Measure ML Models within AI Pipelines. - Abdul Dakkak; Cheng Li 014; Abhishek Srivastava; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2018)

Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. - Ren Wang 008; Meng Wang 003; Jinjun Xiong (IEEE J. Sel. Top. Signal Process., 2018)

TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service. - Abdul Dakkak; Cheng Li 014; Simon Garcia De Gonzalo; Jinjun Xiong; Wen-Mei Hwu (CLOUD, 2019)

SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection. - Tianchen Wang; Jinjun Xiong; Xiaowei Xu 004; Yiyu Shi 001 (AAAI, 2019)

Implementing neural machine translation with bi-directional GRU and attention mechanism on FPGAs using HLS. - Qin Li; Xiaofan Zhang 001; Jinjun Xiong; Wen-Mei Hwu; Deming Chen (ASP-DAC, 2019)

FlatFlash: Exploiting the Byte-Accessibility of SSDs within a Unified Memory-Storage Hierarchy. - Ahmed H. M. O. Abulila; Vikram Sharma Mailthody; Zaid Qureshi; Jian Huang 006; Nam Sung Kim; Jinjun Xiong; Wen-Mei W. Hwu (ASPLOS, 2019)

Equipping Educational Applications with Domain Knowledge. - Tarek Sakakini; Hongyu Gong; Jong Yoon Lee; Robert Schloss; Jinjun Xiong; Suma Bhat (BEA@ACL, 2019)

FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. - Cong Hao; Xiaofan Zhang 001; Yuhong Li; Sitao Huang; Jinjun Xiong; Kyle Rupnow; Wen-Mei Hwu; Deming Chen (DAC, 2019)

PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. - Omer Anjum; Hongyu Gong; Suma Bhat; Wen-Mei Hwu; Jinjun Xiong (EMNLP/IJCNLP (1), 2019)

Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. - Seungwon Min; Sitao Huang; Mohamed El-Hadedy 001; Jinjun Xiong; Deming Chen; Wen-Mei Hwu (FPL, 2019)

Update on k-truss Decomposition on GPU. - Mohammad Almasri; Omer Anjum; Carl Pearson; Zaid Qureshi; Vikram S. Mailthody; Rakesh Nagi; Jinjun Xiong; Wen-Mei W. Hwu (HPEC, 2019)

Accelerating Sparse Deep Neural Networks on FPGAs. - Sitao Huang; Carl Pearson; Rakesh Nagi; Jinjun Xiong; Deming Chen; Wen-Mei W. Hwu (HPEC, 2019)

Update on Triangle Counting on GPU. - Carl Pearson; Mohammad Almasri; Omer Anjum; Vikram S. Mailthody; Zaid Qureshi; Rakesh Nagi; Jinjun Xiong; Wen-Mei W. Hwu (HPEC, 2019)

NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving. - Cong Hao; Yao Chen 008; Xinheng Liu; Atif Sarwari; Daryl Sew; Ashutosh Dhar; Bryan Wu; Dongdong Fu; Jinjun Xiong; Wen-Mei Hwu; Junli Gu; Deming Chen (ICCAD, 2019)

SPGNet: Semantic Prediction Guidance for Scene Parsing. - Bowen Cheng; Liang-Chieh Chen; Yunchao Wei; Yukun Zhu; Zilong Huang; Jinjun Xiong; Thomas S. Huang; Wen-Mei Hwu; Honghui Shi (ICCV, 2019)

Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection. - Khoi-Nguyen C. Mac; Dhiraj Joshi; Raymond A. Yeh; Jinjun Xiong; Rogério Schmidt Feris; Minh N. Do (ICCV, 2019)

On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks. - Yukun Ding; Jinglan Liu; Jinjun Xiong; Yiyu Shi 001 (ICLR (Poster), 2019)

Accelerating reduction and scan using tensor core units. - Abdul Dakkak; Cheng Li 014; Jinjun Xiong; Isaac Gelado; Wen-Mei W. Hwu (ICS, 2019)

Near-Memory and In-Storage FPGA Acceleration for Emerging Cognitive Computing Workloads. - Ashutosh Dhar; Sitao Huang; Jinjun Xiong; Damir A. Jamsek; Bruno Mesnet; Jian Huang 006; Nam Sung Kim; Wen-Mei W. Hwu; Deming Chen (ISVLSI, 2019)

MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation. - Tianchen Wang; Jinjun Xiong; Xiaowei Xu 004; Meng Jiang 001; Haiyun Yuan; Meiping Huang; Jian Zhuang; Yiyu Shi 001 (MICCAI (2), 2019)

DeepStore: In-Storage Acceleration for Intelligent Queries. - Vikram Sharma Mailthody; Zaid Qureshi; Weixin Liang; Ziyan Feng; Simon Garcia De Gonzalo; Youjie Li; Hubertus Franke; Jinjun Xiong; Jian Huang 006; Wen-Mei Hwu (MICRO, 2019)

Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. - Hongyu Gong; Suma Bhat; Lingfei Wu 001; Jinjun Xiong; Wen-Mei W. Hwu (NAACL-HLT (1), 2019)

MLModelScope: Evaluate and Introspect Cognitive Pipelines. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei Hwu (SERVICES, 2019)

Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method. - Qingkai Zeng 001; Mengxia Yu; Wenhao Yu 002; Jinjun Xiong; Yiyu Shi 001; Meng Jiang 001 (TextGraphs@EMNLP, 2019)

Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects. - Carl Pearson; Abdul Dakkak; Sarah Hashash; Cheng Li 014; I-Hsin Chung; Jinjun Xiong; Wen-Mei Hwu (ICPE, 2019)

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. - Gabrielle Allen; Igor Andreoni; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; Zachariah B. Etienne; Daniel George; et al. (CoRR, 2019)

Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms. - Yukun Ding; Jinglan Liu; Jinjun Xiong; Yiyu Shi 001 (CoRR, 2019)

Challenges and Pitfalls of Reproducing Machine Learning Artifacts. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2019)

A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices. - Xiaofan Zhang 001; Cong Hao; Yuhong Li; Yao Chen 008; Jinjun Xiong; Wen-Mei W. Hwu; Deming Chen (CoRR, 2019)

A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications. - Omer Anjum; Wen-Mei Hwu; Jinjun Xiong (CoRR, 2019)

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection. - Xiaofan Zhang 001; Cong Hao; Haoming Lu; Jiachen Li 003; Yuhong Li; Yuchen Fan; Kyle Rupnow; Jinjun Xiong; Thomas S. Huang; Honghui Shi; Wen-Mei Hwu; Deming Chen (CoRR, 2019)

Across-Stack Profiling and Characterization of Machine Learning Models on GPUs. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wei Wei 021; Lingjie Xu; Wen-Mei Hwu (CoRR, 2019)

The Design and Implementation of a Scalable DL Benchmarking Platform. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2019)

Enabling real-time multi-messenger astrophysics discoveries with deep learning. - Eliu A. Huerta; Gabrielle Allen; Igor Andreoni; Javier Mauricio Antelis; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; et al. (CoRR, 2019)

ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices. - Zirui Xu; Zhao Yang; Jinjun Xiong; Jianlei Yang 001; Xiang Chen 010 (CoRR, 2019)

Automatic Curation of Sports Highlights Using Multimodal Excitement Features. - Michele Merler; Khoi-Nguyen C. Mac; Dhiraj Joshi; Quoc-Bao Nguyen; Stephen Hammer; John Kent; Jinjun Xiong; Minh N. Do; John R. Smith; Rogério Schmidt Feris (IEEE Trans. Multim., 2019)

The Design and Implementation of a Scalable Deep Learning Benchmarking Platform. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei W. Hwu (CLOUD, 2020)

A Multi-Perspective Architecture for Semantic Code Search. - Rajarshi Haldar; Lingfei Wu 001; Jinjun Xiong; Julia Hockenmaier (ACL, 2020)

Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. - Ren Wang 008; Meng Wang 003; Jinjun Xiong (ACSSC, 2020)

Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent. - Shuai Zhang 015; Meng Wang 003; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong (CISS, 2020)

Vertext: An End-to-end AI Powered Conversation Management System for Multi-party Chat Platforms. - Omer Anjum; Chak Ho Chan; Tanitpong Lawphongpanich; Yucheng Liang; Tianyi Tang; Shuchen Zhang; Wen-Mei Hwu; Jinjun Xiong; Sanjay Patel (CSCW Companion, 2020)

Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off. - Yukun Ding; Jinglan Liu; Jinjun Xiong; Yiyu Shi 001 (CVPR Workshops, 2020)

Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. - Zhonghao Wang 001; Yunchao Wei; Rogério Schmidt Feris; Jinjun Xiong; Wen-Mei W. Hwu; Thomas S. Huang; Honghui Shi (CVPR Workshops, 2020)

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. - Zhonghao Wang 001; Mo Yu; Yunchao Wei; Rogério Feris; Jinjun Xiong; Wen-Mei Hwu; Thomas S. Huang; Honghui Shi (CVPR, 2020)

EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. - Yuhong Li; Cong Hao; Xiaofan Zhang 001; Xinheng Liu; Yao Chen 008; Jinjun Xiong; Wen-mei W. Hwu; Deming Chen (DAC, 2020)

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. - Ren Wang 008; Gaoyuan Zhang; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong; Meng Wang 003 (ECCV (23), 2020)

Exploring Semantic Capacity of Terms. - Jie Huang 009; Zilong Wang 002; Kevin Chang 001; Wen-Mei Hwu; Jinjun Xiong (EMNLP (1), 2020)

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. - Cong Hao; Yao Chen 008; Xiaofan Zhang 001; Yuhong Li; Jinjun Xiong; Wen-Mei Hwu; Deming Chen (ACM Great Lakes Symposium on VLSI, 2020)

At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation. - Mert Hidayetoglu; Carl Pearson; Vikram Sharma Mailthody; Eiman Ebrahimi; Jinjun Xiong; Rakesh Nagi; Wen-Mei Hwu (HPEC, 2020)

Challenges for Building a Cloud Native Scalable and Trustable Multi-tenant AIoT Platform. - Jinjun Xiong; Huamin Chen (ICCAD, 2020)

DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. - Xiaofan Zhang 001; Hanchen Ye; Junsong Wang; Yonghua Lin; Jinjun Xiong; Wen-Mei Hwu; Deming Chen (ICCAD, 2020)

Micro - GAGE: A Low-power Compact GAGE Hash Function Processor for IoT Applications. - Mohamed El-Hadedy 001; Martin Margala; Sergiu Mosanu; Danilo Gligoroski; Jinjun Xiong; Wen-Mei Hwu (ICECS, 2020)

Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. - Shuai Zhang 015; Meng Wang 003; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong (ICML, 2020)

XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wei Wei 021; Lingjie Xu; Wen-Mei Hwu (IPDPS, 2020)

Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei Hwu (IPDPS, 2020)

Node-Aware Stencil Communication for Heterogeneous Supercomputers. - Carl Pearson; Mert Hidayetoglu; Mohammad Almasri; Omer Anjum; I-Hsin Chung; Jinjun Xiong; Wen-Mei W. Hwu (IPDPS Workshops, 2020)

Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising. - Jinglan Liu; Yukun Ding; Jinjun Xiong; Qianjun Jia; Meiping Huang; Jian Zhuang; Bike Xie; Chun-Chen Liu; Yiyu Shi 001 (ISBI, 2020)

ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation. - Tianchen Wang; Xiaowei Xu 004; Jinjun Xiong; Qianjun Jia; Haiyun Yuan; Meiping Huang; Jian Zhuang; Yiyu Shi 001 (MICCAI (6), 2020)

FReaC Cache: Folded-logic Reconfigurable Computing in the Last Level Cache. - Ashutosh Dhar; Xiaohao Wang; Hubertus Franke; Jinjun Xiong; Jian Huang 006; Wen-Mei W. Hwu; Nam Sung Kim; Deming Chen (MICRO, 2020)

Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation. - Yukun Ding; Jinglan Liu; Xiaowei Xu 004; Meiping Huang; Jian Zhuang; Jinjun Xiong; Yiyu Shi 001 (MIDL, 2020)

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. - Xiaofan Zhang 001; Haoming Lu; Cong Hao; Jiachen Li 003; Bowen Cheng; Yuhong Li; Kyle Rupnow; Jinjun Xiong; Thomas S. Huang; Honghui Shi; Wen-Mei Hwu; Deming Chen (MLSys, 2020)

DLSpec: A Deep Learning Task Exchange Specification. - Abdul Dakkak; Cheng Li 014; Jinjun Xiong; Wen-mei W. Hwu (OpML, 2020)

DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. - Cheng Li 014; Abdul Dakkak; Jinjun Xiong; Wen-Mei Hwu (ICPE, 2020)

On Interpretability of Artificial Neural Networks. - Fenglei Fan; Jinjun Xiong; Ge Wang 001 (CoRR, 2020)

MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale. - Abdul Dakkak; Cheng Li 014; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2020)

Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits. - Weiwen Jiang; Jinjun Xiong; Yiyu Shi 001 (CoRR, 2020)

Efficient Inference on GPUs for the Sparse Deep Neural Network Graph Challenge 2020. - Mert Hidayetoglu; Carl Pearson; Vikram Sharma Mailthody; Eiman Ebrahimi; Jinjun Xiong; Rakesh Nagi; Wen-mei W. Hwu (CoRR, 2020)

Tearing Down the Memory Wall. - Zaid Qureshi; Vikram Sharma Mailthody; Seungwon Min; I-Hsin Chung; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2020)

Efficient Neural Network Implementation with Quadratic Neuron. - Zirui Xu; Jinjun Xiong; Fuxun Yu; Xiang Chen 010 (CoRR, 2020)

Fast CUDA-Aware MPI Datatypes without Platform Support. - Carl Pearson; Kun Wu 002; I-Hsin Chung; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2020)

Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. - Ren Wang 008; Meng Wang 003; Jinjun Xiong (EURASIP J. Adv. Signal Process., 2020)

Tensor recovery from noisy and multi-level quantized measurements. - Ren Wang 008; Meng Wang 003; Jinjun Xiong (EURASIP J. Adv. Signal Process., 2020)

Universal approximation with quadratic deep networks. - Fenglei Fan; Jinjun Xiong; Ge Wang 001 (Neural Networks, 2020)

EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. - Seungwon Min; Vikram Sharma Mailthody; Zaid Qureshi; Jinjun Xiong; Eiman Ebrahimi; Wen-Mei Hwu (Proc. VLDB Endow., 2020)

Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. - Jie Huang 009; Kevin Chang 001; Jinjun Xiong; Wen-Mei Hwu (ACL/IJCNLP (1), 2021)

Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. - Ashutosh Dhar; Paul Reckamp; Jinjun Xiong; Wen-Mei Hwu; Deming Chen (ARC, 2021)

When Machine Learning Meets Quantum Computers: A Case Study. - Weiwen Jiang; Jinjun Xiong; Yiyu Shi 001 (ASP-DAC, 2021)

Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. - Jiachen Li 003; Bowen Cheng; Rogério Feris; Jinjun Xiong; Thomas S. Huang; Wen-Mei Hwu; Humphrey Shi (CVPR Workshops, 2021)

Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. - Zirui Xu; Fuxun Yu; Jinjun Xiong; Xiang Chen 010 (DAC, 2021)

TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes. - Carl Pearson; Kun Wu 002; I-Hsin Chung; Jinjun Xiong; Wen-Mei Hwu (HPDC, 2021)

HyKernel: A Hybrid Selection of One/Two-Phase Kernels for Triangle Counting on GPUs. - Mohammad Almasri; Neo Vasudeva; Rakesh Nagi; Jinjun Xiong; Wen-Mei Hwu (HPEC, 2021)

Interpretable Visual Reasoning via Induced Symbolic Space. - Zhonghao Wang 001; Kai Wang 058; Mo Yu; Jinjun Xiong; Wen-Mei Hwu; Mark Hasegawa-Johnson; Humphrey Shi (ICCV, 2021)

Trillion-scale Graph Processing Simulation based on Top-Down Graph Upscaling. - Himchan Park; Jinjun Xiong; Min-Soo Kim 002 (ICDE, 2021)

Global Prosody Style Transfer Without Text Transcriptions. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Jinjun Xiong; Chuang Gan 001; David D. Cox; Mark Hasegawa-Johnson (ICML, 2021)

Generic Neural Architecture Search via Regression. - Yuhong Li; Cong Hao; Pan Li 005; Jinjun Xiong; Deming Chen (NeurIPS, 2021)

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks. - Shuai Zhang 015; Meng Wang 003; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong (NeurIPS, 2021)

PhraseScope: An Effective and Unsupervised Framework for Mining High Quality Phrases. - Omer Anjum; Mohammad Almasri; Jinjun Xiong; Wen-Mei W. Hwu (SDM, 2021)

Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19. - 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; et al. (CoRR, 2021)

PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. - Seungwon Min; Kun Wu 002; Sitao Huang; Mert Hidayetoglu; Jinjun Xiong; Eiman Ebrahimi; Deming Chen; Wen-Mei W. Hwu (CoRR, 2021)

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design. - Cong Hao; Jordan Dotzel; Jinjun Xiong; Luca Benini; Zhiru Zhang; Deming Chen (CoRR, 2021)

K-Clique Counting on GPUs. - Mohammad Almasri; Izzat El Hajj; Rakesh Nagi; Jinjun Xiong; Wen-Mei W. Hwu (CoRR, 2021)

Heterogeneous Contrastive Learning. - Lecheng Zheng; Yada Zhu; Jingrui He; Jinjun Xiong (CoRR, 2021)

Global Rhythm Style Transfer Without Text Transcriptions. - Kaizhi Qian; Yang Zhang 001; Shiyu Chang; Jinjun Xiong; Chuang Gan 001; David D. Cox; Mark Hasegawa-Johnson (CoRR, 2021)

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. - Zhiding Liang; Zhepeng Wang 001; Junhuan Yang; Lei Yang 018; Jinjun Xiong; Yiyu Shi 001; Weiwen Jiang (CoRR, 2021)

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. - Zhepeng Wang 001; Zhiding Liang; Shanglin Zhou; Caiwen Ding; Jinjun Xiong; Yiyu Shi 001; Weiwen Jiang (CoRR, 2021)

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks. - Shuai Zhang 015; Meng Wang 003; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong (CoRR, 2021)

MLHarness: A Scalable Benchmarking System for MLCommons. - Yen-Hsiang Chang 001; Jianhao Pu; Wen-Mei W. Hwu; Jinjun Xiong (CoRR, 2021)

Graph Neural Network Training with Data Tiering. - Seungwon Min; Kun Wu 002; Mert Hidayetoglu; Jinjun Xiong; Xiang Song 003; Wen-mei W. Hwu (CoRR, 2021)

Guest Editors' Introduction: Machine Intelligence at the Edge. - Luca Benini; Deming Chen; Jinjun Xiong; Zhiru Zhang (IEEE Des. Test, 2021)

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign. - Cong Hao; Jordan Dotzel; Jinjun Xiong; Luca Benini; Zhiru Zhang; Deming Chen (IEEE Des. Test, 2021)

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. - Seungwon Min; Kun Wu 002; Sitao Huang; Mert Hidayetoglu; Jinjun Xiong; Eiman Ebrahimi; Deming Chen; Wen-mei W. Hwu (Proc. VLDB Endow., 2021)

Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. - Shuai Zhang 015; Meng Wang 003; Jinjun Xiong; Sijia Liu 001; Pin-Yu Chen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Efficient Methods for Mapping Neural Machine Translator on FPGAs. - Qin Li; Xiaofan Zhang 001; Jinjun Xiong; Wen-Mei Hwu; Deming Chen (IEEE Trans. Parallel Distributed Syst., 2021)

Open Relation Modeling: Learning to Define Relations between Entities. - Jie Huang 009; Kevin Chang 001; Jinjun Xiong; Wen-Mei Hwu (ACL (Findings), 2022)

HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. - Xinheng Liu; Yao Chen 008; Prakhar Ganesh; Junhao Pan; Jinjun Xiong; Deming Chen (ASP-DAC, 2022)

Understanding Jargon: Combining Extraction and Generation for Definition Modeling. - Jie Huang 009; Hanyin Shao; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (EMNLP, 2022)

DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. - Jie Huang 009; Kerui Zhu; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (EMNLP, 2022)

How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. - Shuai Zhang 015; Meng Wang 003; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong (ICLR, 2022)

Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. - Hongkang Li; Meng Wang 003; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong (ICML, 2022)

Parallel K-clique counting on GPUs. - Mohammad Almasri; Izzat El Hajj; Rakesh Nagi; Jinjun Xiong; Wen-Mei Hwu (ICS, 2022)

PARSEC: PARallel Subgraph Enumeration in CUDA. - Vibhor Dodeja; Mohammad Almasri; Rakesh Nagi; Jinjun Xiong; Wen-Mei Hwu (IPDPS, 2022)

Graph Neural Network Training and Data Tiering. - Seungwon Min; Kun Wu 002; Mert Hidayetoglu; Jinjun Xiong; Xiang Song 003; Wen-Mei Hwu (KDD, 2022)

Contrastive Learning with Complex Heterogeneity. - Lecheng Zheng; Jinjun Xiong; Yada Zhu; Jingrui He (KDD, 2022)

QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. - Zirui Xu; Fuxun Yu; Jinjun Xiong; Xiang Chen 010 (MLSys, 2022)

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. - Yong Xie 002; Dakuo Wang; Pin-Yu Chen; Jinjun Xiong; Sijia Liu 001; Oluwasanmi Koyejo (NAACL-HLT, 2022)

How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. - Shuai Zhang 015; Meng Wang 003; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong (CoRR, 2022)

BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage. - 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; et al. (CoRR, 2022)

DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. - Jie Huang 009; Kerui Zhu; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2022)

HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation. - Yao Chen 008; Junhao Pan; Xinheng Liu; Jinjun Xiong; Deming Chen (CoRR, 2022)

Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. - Bhavya; Jinjun Xiong; Chengxiang Zhai (CoRR, 2022)

Extensible Proxy for Efficient NAS. - Yuhong Li; Jiajie Li 002; Cong Han; Pan Li 005; Jinjun Xiong; Deming Chen (CoRR, 2022)

Submission-Aware Reviewer Profiling for Reviewer Recommender System. - Omer Anjum; Alok Kamatar; Toby Liang; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2022)

Excel Spreadsheet Analyzer. - Amir Nassereldine; Patrick Chen; Jinjun Xiong (CoRR, 2022)

A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale. - Kyrie Zhixuan Zhou; Jiao Sun; Jiaxin Pei; Nanyun Peng 001; Jinjun Xiong (CoRR, 2022)

VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks. - Tianchen Wang; Jiawei Zhang; Jinjun Xiong; Song Bian 001; Zheyu Yan; Meiping Huang; Jian Zhuang; Takashi Sato 001; Xiaowei Xu 004; Yiyu Shi 001 (IEEE Trans. Computers, 2022)

Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems. - Xiaofan Zhang 001; Yuan Ma; Jinjun Xiong; Wen-Mei W. Hwu; Volodymyr V. Kindratenko; Deming Chen (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. - 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; et al. (Zenodo, 2022)

Parallelizing Maximal Clique Enumeration on GPUs. - Mohammad Almasri; Yen-Hsiang Chang 001; Izzat El Hajj; Rakesh Nagi; Jinjun Xiong; Wen-mei W. Hwu (PACT, 2023)

Can Language Models Be Specific? How? - Jie Huang 009; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (ACL (Findings), 2023)

GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. - 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; et al. (ASPLOS (2), 2023)

Extensible and Efficient Proxy for Neural Architecture Search. - Yuhong Li; Jiajie Li 002; Cong Hao; Pan Li 005; Jinjun Xiong; Deming Chen (ICCV, 2023)

BEEP: Balanced Efficient subgraph Enumeration in Parallel. - Samiran Kawtikwar; Mohammad Almasri; Wen-Mei Hwu; Rakesh Nagi; Jinjun Xiong (ICPP, 2023)

SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network. - Yuting Hu; Jiajie Li 002; Florian Klemme; Gi-Joon Nam; Tengfei Ma 001; Hussam Amrouch; Jinjun Xiong (NeurIPS, 2023)

CAM: A Large Language Model-based Creative Analogy Mining Framework. - Bhavya; Jinjun Xiong; Chengxiang Zhai (WWW, 2023)

Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. - Yue Wang 068; Yuting Hu; Jinjun Xiong; Shaofeng Zou (CoRR, 2023)

Image Harmonization with Diffusion Model. - Jiajie Li 002; Jian Wang; Chen Wang; Jinjun Xiong (CoRR, 2023)

CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs. - 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; et al. (CoRR, 2023)

UniNet: Accelerating the Container Network Data Plane in IaaS Clouds. - Yuan Ma; Scott Smith; Bill Gropp; Hubertus Franke; Bharat Sukhwani; Sameh W. Asaad; Jinjun Xiong; Volodymyr V. Kindratenko; Deming Chen (CLOUD, 2024)

FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models : (Invited Paper). - Ruiyang Qin; Yuting Hu; Zheyu Yan; Jinjun Xiong; Ahmed Abbasi; Yiyu Shi 001 (ASPDAC, 2024)

QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. - Chenhui Xu; Fuxun Yu; Zirui Xu; Chenchen Liu; Jinjun Xiong; Xiang Chen 010 (ASPDAC, 2024)

AI-Driven Support for People with Speech & Language Difficulties. - Aayushi Dangol; Yun Huang 003; Srirangaraj Setlur; Adele Smolansky; Hariharan Subramonyam; Hyewon Suh; Jinjun Xiong; Julie A. Kientz (CHI Extended Abstracts, 2024)

Towards Responsible Use of Large Multi-modal AI to Analyze Human Social Behaviors. - Qingxiao Zheng; Xi Lu 002; Qiao Jin 002; Jitesh Jain; Hedda Meadan-Kaplansky; Humphrey Shi; Jinjun Xiong; Yun Huang 003 (CSCW Companion, 2024)

AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction. - Bhavya; Shradha Sehgal; Jinjun Xiong; ChengXiang Zhai (EACL (1), 2024)

Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures. - Ruiyang Qin; Zheyu Yan; Dewen Zeng; Zhenge Jia; Dancheng Liu; Jianbo Liu; Ahmed Abbasi; Zhi Zheng; Ningyuan Cao; Kai Ni 004; Jinjun Xiong; Yiyu Shi 001 (ICCAD, 2024)

OpenVideoWalls: an Open-Source System for Building Video Walls with Recycling Heterogeneous Displays. - Zichen Zhu; Zhongze Tang; Amir Nassereldine; Jinjun Xiong; Sheng Wei 001 (MMAsia, 2024)

Infinite-Dimensional Feature Interaction. - Chenhui Xu; Fuxun Yu; Maoliang Li; Zihao Zheng; Zirui Xu; Jinjun Xiong; Xiang Chen 010 (NeurIPS, 2024)

Ensembler: Combating model inversion attacks using model ensemble during collaborative inference. - Dancheng Liu; Jinjun Xiong (CoRR, 2024)

"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education. - Kyrie Zhixuan Zhou; Zachary Kilhoffer; Madelyn Rose Sanfilippo; Ted Underwood; Ece Gumusel; Mengyi Wei; Abhinav Choudhry; Jinjun Xiong (CoRR, 2024)

FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models. - Ruiyang Qin; Yuting Hu; Zheyu Yan; Jinjun Xiong; Ahmed Abbasi; Yiyu Shi 001 (CoRR, 2024)

xMLP: Revolutionizing Private Inference with Exclusive Square Activation. - Jiajie Li 002; Jinjun Xiong (CoRR, 2024)

From Keyboard to Chatbot: An AI-powered Integration Platform with Large-Language Models for Teaching Computational Thinking for Young Children. - Changjae Lee; Jinjun Xiong (CoRR, 2024)

QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation. - Chenhui Xu; Xinyao Wang; Fuxun Yu; Jinjun Xiong; Xiang Chen 010 (CoRR, 2024)

Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures. - Ruiyang Qin; Zheyu Yan; Dewen Zeng; Zhenge Jia; Dancheng Liu; Jianbo Liu; Zhi Zheng; Ningyuan Cao; Kai Ni 004; Jinjun Xiong; Yiyu Shi 001 (CoRR, 2024)

Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices. - Ruiyang Qin; Dancheng Liu; Zheyu Yan; Zhaoxuan Tan; Zixuan Pan; Zhenge Jia; Meng Jiang 001; Ahmed Abbasi; Jinjun Xiong; Yiyu Shi 001 (CoRR, 2024)

PI-Whisper: An Adaptive and Incremental ASR Framework for Diverse and Evolving Speaker Characteristics. - Amir Nassereldine; Dancheng Liu; Chenhui Xu; Jinjun Xiong (CoRR, 2024)

Large Language Models have Intrinsic Self-Correction Ability. - Dancheng Liu; Amir Nassereldine; Ziming Yang; Chenhui Xu; Yuting Hu; Jiajie Li 002; Utkarsh Kumar; Changjae Lee; Jinjun Xiong (CoRR, 2024)

FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data. - Dancheng Liu; Jinjun Xiong (CoRR, 2024)

LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Surgical Video Learning. - Jiajie Li 002; Garrett Skinner; Gene Yang; Brian R. Quaranto; Steven D. Schwaitzberg; Peter C. W. Kim; Jinjun Xiong (CoRR, 2024)

Automating Knowledge Discovery from Scientific Literature via LLMs: A Dual-Agent Approach with Progressive Ontology Prompting. - Yuting Hu; Dancheng Liu; Qingyun Wang 005; Charles Yu; Heng Ji 001; Jinjun Xiong (CoRR, 2024)

Automatic Screening for Children with Speech Disorder using Automatic Speech Recognition: Opportunities and Challenges. - Dancheng Liu; Jason Yang; Ishan Albrecht-Buehler; Helen Qin; Sophie Li; Yuting Hu; Amir Nassereldine; Jinjun Xiong (CoRR, 2024)

Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge. - Ruiyang Qin; Dancheng Liu; Gelei Xu; Zheyu Yan; Chenhui Xu; Yuting Hu; X. Sharon Hu; Jinjun Xiong; Yiyu Shi 001 (CoRR, 2024)

Ethics, Governance, and User Mental Models for Large Language Models in Computing Education. - Kyrie Zhixuan Zhou; Zachary Kilhoffer; Madelyn Rose Sanfilippo; Ted Underwood; Ece Gumusel; Mengyi Wei; Abhinav Choudhry; Jinjun Xiong (XRDS, 2024)

Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach. - Yue Wang 068; Jinjun Xiong; Shaofeng Zou (Trans. Mach. Learn. Res., 2024)

CHEF: A Framework for Deploying Heterogeneous Models on Clusters With Heterogeneous FPGAs. - Yue Tang 002; Yukai Song; Naveena Elango; Sheena Ratnam Priya; Alex K. Jones; Jinjun Xiong; Peipei Zhou 001; Jingtong Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

ASD-HI: A Parent-Child Interaction Dataset for Automated Assessment of Home Intervention. - Zhaohui Li; Yusuf Akemoglu; Jincheng Lyu; Qingxiao Zheng; Jinjun Xiong (AIED (1), 2025)

StoryLab: Empowering Personalized Learning for Children Through Teacher-Guided Multimodal Story Generation. - Zhaohui Li; Feiwen Xiao; Jiaju Lin; Xiaohan Zou; Qingxiao Zheng; Jinjun Xiong (AIED (5), 2025)

AI-Enhanced Speech-Language Intervention Documentation: Opportunities and Design Goals. - Qingxiao Zheng; Abhinav Choudhry; Zihan Liu; Parisa Rabbani; Yuting Hu; Abbie Olszewski; Yun Huang 003; Jinjun Xiong (AIED (6), 2025)

NVCiM-PT: An NVCiM-Assisted Prompt Tuning Framework for Edge LLMs. - Ruiyang Qin; Pengyu Ren; Zheyu Yan; Liu Liu; Dancheng Liu; Amir Nassereldine; Jinjun Xiong; Kai Ni 004; X. Sharon Hu; Yiyu Shi 001 (DATE, 2025)

Towards Precision Characterization of Communication Disorders using Models of Perceived Pragmatic Similarity. - Nigel G. Ward; Andres Segura; Georgina Bugarini; Heike Lehnert-LeHouillier; Dancheng Liu; Jinjun Xiong; Olac Fuentes (ICASSP, 2025)

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data. - Jiajie Li 002; Brian R. Quaranto; Chenhui Xu; Ishan Mishra; Ruiyang Qin; Dancheng Liu; Peter C. W. Kim; Jinjun Xiong (ICLR, 2025)

Sub-Sequential Physics-Informed Learning with State Space Model. - Chenhui Xu; Dancheng Liu; Yuting Hu; Jiajie Li 002; Ruiyang Qin; Qingxiao Zheng; Jinjun Xiong (CoRR, 2025)

SCOPE: Schoolbook-Originated Novel Polynomial Multiplication Accelerators for NTRU-Based PQC. - Yazheng Tu; Shi Bai 001; Jinjun Xiong; Jiafeng Xie (IEEE Trans. Very Large Scale Integr. Syst., 2025)

Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability. - Chenhui Xu; Dancheng Liu; Jiajie Li 002; Amir Nassereldine; Zhaohui Li; Jinjun Xiong (CoRR, 2025)

Combating Partial Perception Deficit in Autonomous Driving with Multimodal LLM Commonsense. - Yuting Hu; Chenhui Xu; Ruiyang Qin; Dancheng Liu; Amir Nassereldine; Yiyu Shi 001; Jinjun Xiong (CoRR, 2025)

Breaking the Barriers of One-to-One Usage of Implicit Neural Representation in Image Compression: A Linear Combination Approach With Performance Guarantees. - Sai Sanjeet; Seyyedali Hosseinalipour; Jinjun Xiong; Masahiro Fujita; Bibhu Datta Sahoo 002 (IEEE Internet Things J., 2025)

FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks. - Chenhui Xu; Dancheng Liu; Amir Nassereldine; Jinjun Xiong (CoRR, 2025)

Towards Pretraining Robust ASR Foundation Model with Acoustic-Aware Data Augmentation. - Dancheng Liu; Amir Nassereldine; Chenhui Xu; Jinjun Xiong (CoRR, 2025)

MTrain: Enable Efficient CNN Training on Heterogeneous FPGA-Based Edge Servers. - Yue Tang 002; Alex K. Jones; Jinjun Xiong; Peipei Zhou 001; Jingtong Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)