Tianyi Liu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Complete weight enumerators of some few-weight linear codes from extended defining sets.
J. Appl. Math. Comput., May, 2026

Robust Camera-to-Mocap Calibration and Verification for Large-Scale Multi-Camera Data Capture.
CoRR, April, 2026

Controllable and Verifiable Tool-Use Data Synthesis for Agentic Reinforcement Learning.
CoRR, April, 2026

NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results.
CoRR, April, 2026

Mixture-of-Modality-Experts with Holistic Token Learning for Fine-Grained Multimodal Visual Analytics in Driver Action Recognition.
CoRR, April, 2026

MedMAP: Promoting Incomplete Multi-Modal Brain Tumor Segmentation With Alignment.
IEEE J. Biomed. Health Informatics, March, 2026

Accelerating Diffusion-based Video Editing via Heterogeneous Caching: Beyond Full Computing at Sampled Denoising Timestep.
CoRR, March, 2026

See It, Say It, Sorted: An Iterative Training-Free Framework for Visually-Grounded Multimodal Reasoning in LVLMs.
CoRR, February, 2026

LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization.
CoRR, February, 2026

Compute Only Once: UG-Separation for Efficient Large Recommendation Models.
CoRR, February, 2026

MSN: A Memory-based Sparse Activation Scaling Framework for Large-scale Industrial Recommendation.
CoRR, February, 2026

TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders.
CoRR, February, 2026

Rotation Mutation-Driven Evolutionary Algorithm for Efficient Macro Placement.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2026

DAOS: A Multimodal In-cabin Behavior Monitoring with Driver Action-Object Synergy Dataset.
CoRR, January, 2026

PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction.
PLoS Comput. Biol., 2026

Hierarchical game interaction augmenter: Enhancing multi-agent trajectory prediction in competitive and cooperative sports.
Neural Networks, 2026

GDCC: scRNA-seq data imputation via Graph-cGAN based dual conditional guidance with constraint training.
Knowl. Based Syst., 2026

HGT-PepPI: A Heterogeneous Graph-Based Framework Leveraging Pragmatic Analysis for Peptide-Protein Interaction Prediction.
J. Chem. Inf. Model., 2026

Aero-DETR: Adaptive transformer for high-precision object detection in UAV imagery.
Digit. Signal Process., 2026

RSPlace: Rotation Sensing Macro Placement via Bidirectional Tree Expansion.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance.
CoRR, November, 2025

Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only.
CoRR, October, 2025

Augur: Semantics-Aware Temporal Prefetching for Linked Data Structure.
ACM Trans. Archit. Code Optim., September, 2025

Encoding Tactile Stimuli for Organoid Intelligence in Braille Recognition.
CoRR, August, 2025

Towards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework.
CoRR, July, 2025

From Semantics, Scene to Instance-awareness: Distilling Foundation Model for Open-vocabulary Situation Recognition.
CoRR, July, 2025

ETBench: Characterizing Hybrid Vision Transformer Workloads Across Edge Devices.
IEEE Trans. Computers, June, 2025

SnsBooster: Enhancing Sampling-based <i>μ</i>Arch Evaluation Efficiency through Online Performance Sensitivity Analysis.
ACM Trans. Archit. Code Optim., June, 2025

LitTLS: Lightweight Thread-Level Speculation on Little Cores.
ACM Trans. Archit. Code Optim., June, 2025

Ceno: Non-uniform, Segment and Parallel Zero-Knowledge Virtual Machine.
J. Cryptol., June, 2025

Mobility-Aware Predictive Beamforming Design in Sensing-Assisted SWIPT Systems.
IEEE Wirel. Commun. Lett., May, 2025

VecTrans: LLM Transformation Framework for Better Auto-vectorization on High-performance CPU.
CoRR, March, 2025

LLMs Can Generate a Better Answer by Aggregating Their Own Responses.
CoRR, March, 2025

Online Pseudo-average Shifting Attention(PASA) for Robust Low-precision LLM Inference: Algorithms and Numerical Analysis.
CoRR, March, 2025

Bayesian buckling load optimisation for structures with geometric uncertainties.
CoRR, January, 2025

ByteNet: Rethinking Multimedia File Fragment Classification Through Visual Perspectives.
IEEE Trans. Multim., 2025

GFA-Net: Global Feature Aggregation Network Based on Contrastive Learning for Breast Lesion Automated Segmentation in Ultrasound Images.
IEEE Trans. Instrum. Meas., 2025

Identifying Cancer Driver Genes Using a Neural Network Framework With Cross-Attention Mechanism.
IEEE Trans. Comput. Biol. Bioinform., 2025

A Deep Learning Framework for Identifying Cancer Driver Genes Based on Transformer and Graph Convolutional Network.
IEEE Trans. Comput. Biol. Bioinform., 2025

Scheduling a Distributed Permutation Flowshop With Uniform Machines and Release Dates.
IEEE Trans Autom. Sci. Eng., 2025

Dynamic Bit-Plane Augmentation Framework for Enhancing Data Quality and Robustness in Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

A tensor model for the calibration of air-coupled ultrasonic sensor arrays in 3D imaging.
Signal Process., 2025

A novel channel model for UAV-to-ground links in integrated sensing and communication scenarios.
Phys. Commun., 2025

TailTracer: Continuous Tail Tracing for Production Use.
Proc. ACM Program. Lang., 2025

Stagger Network: Rethinking information loss in medical image segmentation with various-sized targets.
Neural Networks, 2025

Neuromorphic touch for robotics - a review.
Neuromorph. Comput. Eng., 2025

Optimized Marine Target Detection in Remote Sensing Images with Attention Mechanism and Multi-Scale Feature Fusion.
Inf., 2025

Efficient SNARKs for Boolean Circuits via Sumcheck over Tower Fields.
IACR Cryptol. ePrint Arch., 2025

Coronary p-Graph: Automatic classification and localization of coronary artery stenosis from Cardiac CTA using DSA-based annotations.
Comput. Medical Imaging Graph., 2025

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Towards Blind Bitstream-corrupted Video Recovery: A Visual Foundation Model-driven Framework.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

From Semantics, Scene to Instance-awareness: Distilling Foundation Model for Open-vocabulary Grounded Situation Recognition.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Leveraging Graph Neural Networks in Transferring Multimodal Knowledge for Unimodal Segmentation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Improved LCC Topology for Multi-Frequency Wireless Power Transfer System with Constant-Voltage Under Coupling and Load Variations.
Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IBS-Net: Advancing Implicit Boundary-Aware Segmentation for Diaphragm Ultrasound Analysis.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

ACRS: Adjacent Computation Resource Sharing among Partitioned GPU Sub-Cores.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DET-CPD: Dynamic Edge-Aware Transformer with Cross-Image Patch Dependency for Lesion Segmentation in Ultrasound Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Optimizing JPEG Decoder for Bitstream-Corrupted Image Restoration.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

LASM: A Lightweight and General TEE Secure Monitor Framework.
Proceedings of the Advanced Parallel Processing Technologies, 2025

Aligning Large Language Models with Implicit Preferences from User-Generated Content.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Multi-level Pruning Method for Medical Redundant Data Based on Data Lake.
Proceedings of the Web Information Systems and Applications, 2025

2024
Tyche: An Efficient and General Prefetcher for Indirect Memory Accesses.
ACM Trans. Archit. Code Optim., June, 2024

An Instruction Inflation Analyzing Framework for Dynamic Binary Translators.
ACM Trans. Archit. Code Optim., June, 2024

Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data.
SIAM J. Optim., March, 2024

Generalized multi-agent competitive reinforcement learning with differential augmentation.
Expert Syst. Appl., March, 2024

CrowdMagMap: Crowdsourcing-Based Magnetic Map Construction for Shopping Mall.
IEEE Internet Things J., February, 2024

Adaptive Task Migration in Multiplex Networked Industrial Chains.
IEEE Trans. Emerg. Top. Comput., 2024

HardTaint: Production-Run Dynamic Taint Analysis via Selective Hardware Tracing.
Proc. ACM Program. Lang., 2024

CUTE: A scalable CPU-centric and Ultra-utilized Tensor Engine for convolutions.
J. Syst. Archit., 2024

Almost optimal succinct arguments for Boolean circuit on RAM.
IACR Cryptol. ePrint Arch., 2024

Parallel Zero-knowledge Virtual Machine.
IACR Cryptol. ePrint Arch., 2024

FullStack Bench: Evaluating LLMs as Full Stack Coders.
CoRR, 2024

Personalize to generalize: Towards a universal medical multi-modality generalization through personalization.
CoRR, 2024

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data.
CoRR, 2024

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets.
CoRR, 2024

RKHS-BA: A Semantic Correspondence-Free Multi-View Registration Framework with Global Tracking.
CoRR, 2024

Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge Proofs.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

6.9 A 0.35V 0.367TOPS/W Image Sensor with 3-Layer Optical-Electronic Hybrid Convolutional Neural Network.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Design and FPGA Implementation of a Light-Weight Calibration-Friendly Eye Gaze Tracking Algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

AVM-BTB: Adaptive and Virtualized Multi-level Branch Target Buffer.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Battery-Powered Portable Multiplexed RT - PCR for HIV-1 and HIV-2 Viral Load Testing at LIMIC.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

Blind Phase-Offset Estimation in Sparse Partly Calibrated Arrays.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Multimodal Guidance Network for Missing- Modality Inference in Content Moderation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

LEMON: Lossless model expansion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Let Models Speak Ciphers: Multiagent Debate through Embeddings.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-condition Join Query Optimization for Disease-Specific Data Exploration Based on Data Lake.
Proceedings of the Health Information Science - 13th International Conference, 2024

Multi-modal Medical Data Management Platform Based on Data Lake.
Proceedings of the Health Information Science - 13th International Conference, 2024

Improving Resource and Energy Efficiency for Cloud 3D through Excessive Rendering Reduction.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

The TIP Benchmark: A Tactile Image-Based Psychophysics-Inspired Benchmark for Artificial Tactile Sensors.
Proceedings of the Haptics: Understanding Touch; Technology and Systems; Applications and Interaction, 2024

A Rotation-Invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images.
Proceedings of the Computer Vision - ECCV 2024, 2024

Attention-Driven Topology Adaptive Graph Convolutional Networks for Bitcoin Abnormal Transaction Detection.
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024

A Low-Power Wireless 128-Channel Neural Interface Circuit for Multiregional Brain Recording.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

Design of a Light-Weight Video-Based Blink Detection System with an Eye Monitoring Interface.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

20 Years of Biomedical Image Acquisition and Processing at BioCAS.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Study on the new implementation mode of cross-docking based on blockchain technology.
Comput. Ind. Eng., June, 2023

Security control scheme for cyber-physical system with a complex network in physical layer against false data injection attacks.
Appl. Math. Comput., June, 2023

TCADer: A Tightly Coupled Accelerator Design framework for heterogeneous system with hardware/software co-design.
J. Syst. Archit., March, 2023

Scheduling non-permutation flowshop with finite buffers and two competitive agents.
Comput. Ind. Eng., March, 2023

Robust Multimodal Sentiment Analysis via Tag Encoding of Uncertain Missing Modalities.
IEEE Trans. Multim., 2023

Multimodal Pre-training Method for Vision-language Understanding and Generation.
Int. J. Softw. Informatics, 2023

Multi-Modality Guidance Network For Missing Modality Inference.
CoRR, 2023

Label Inference Attack against Split Learning under Regression Setting.
CoRR, 2023

Empirical analysis of economic growth promotion through standardization through technological innovation pathway.
Proceedings of the 2023 International Conference on Power, 2023

Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Catamaran: Low-Overhead Memory Safety Enforcement via Parallel Acceleration.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Taxonomy-Structured Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Machine Learning Force Fields with Data Cost Aware Training.
Proceedings of the International Conference on Machine Learning, 2023

Direction-of-Arrival Estimation for Correlated Sources and Low Sample Size.
Proceedings of the 31st European Signal Processing Conference, 2023

Learning Dynamic Representations for Discourse Dependency Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Joint Sparse Estimation with Cardinality Constraint via Mixed-Integer Semidefinite Programming.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

On-Demand Triggered Memory Management Unit in Dynamic Binary Translator.
Proceedings of the Advanced Parallel Processing Technologies, 2023

2022
Extended Successive Convex Approximation for Phase Retrieval With Dictionary Learning.
IEEE Trans. Signal Process., 2022

A lightweight neural network framework using linear grouped convolution for human activity recognition on mobile devices.
J. Supercomput., 2022

LiDAR Odometry by Deep Learning-Based Feature Points with Two-Step Pose Estimation.
Remote. Sens., 2022

Relation construction for aspect-level sentiment classification.
Inf. Sci., 2022

Attack isolation and location for a complex network cyber-physical system via zonotope theory.
Neurocomputing, 2022

Progress in symmetry preserving robot perception and control through geometry and learning.
Frontiers Robotics AI, 2022

Bayesian Learning Model Predictive Control for Process-Aware Source Seeking.
IEEE Control. Syst. Lett., 2022

Differentially Private Estimation of Hawkes Process.
CoRR, 2022

Interactive Machine Learning on Edge Devices With User-in-the-Loop Sample Recommendation.
IEEE Access, 2022

Differentially private multi-party data release for linear regression.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

PathFlow: A normalizing flow generator that finds transition paths.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Universal provenance for regular path queries.
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022

Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Energy-based Modelling for Single-cell Data Annotation.
Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

UGformer for Robust Left Atrium and Scar Segmentation Across Scanners.
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization.
Proceedings of the Knowledge Science, Engineering and Management, 2022

District-Coupled Epidemic Control via Deep Reinforcement Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Single-Mode CMOS 6T-SRAM Macros With Keeper-Loading-Free Peripherals and Row-Separate Dynamic Body Bias Achieving 2.53fW/bit Leakage for AIoT Sensing Platforms.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022

Research of the Nonlinear Effect of Public Health Investment on High-quality Development from year of 2007 to 2017.
Proceedings of the 5th International Conference on Information Management and Management Science, 2022

Document-Level Sentiment Analysis of Course Review Based on BG-Caps.
Proceedings of the Data Science, 2022

Fourier Learning with Cyclical Data.
Proceedings of the International Conference on Machine Learning, 2022

VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D.
Proceedings of the Computer Vision - ECCV 2022, 2022

Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Theoretical Analysis of Stochastic Gradient Descent in Stochastic Optimization.
PhD thesis, 2021

Medical Big Data Analysis with Attention and Large Margin Loss Model for Skin Lesion Application.
J. Signal Process. Syst., 2021

Robust Neural Relation Extraction via Multi-Granularity Noises Reduction.
IEEE Trans. Knowl. Data Eng., 2021

Fine-grained Question-Answer sentiment classification with hierarchical graph attention network.
Neurocomputing, 2021

Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation.
CoRR, 2021

Recovery under Side Constraints.
CoRR, 2021

GODSAC*: Graph Optimized DSAC* for Robot Relocalization.
CoRR, 2021

An Online Position Error Correction Method for Sensorless Control of Permanent Magnet Synchronous Machine With Parameter Mismatch.
IEEE Access, 2021

Reduced-Order Feedback Linearization for Independent Torque Control of a Dual Parallel-PMSM System.
IEEE Access, 2021

A Bayesian Approach to Online Simulation Optimization with Streaming Input Data.
Proceedings of the Winter Simulation Conference, 2021

Mentoring Opportunities in Computer Architecture: Analyzing the Past to Develop the Future.
Proceedings of the ACM/IEEE Workshop on Computer Architecture Education, 2021

BTMMU: an efficient and versatile cross-ISA memory virtualization.
Proceedings of the VEE '21: 17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2021

Performance Testing for Cloud Computing with Dependent Data Bootstrapping.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Duration-aware Data Collection in UAV-aided Mobile Sensor Networks.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Sentiment Analysis for MOOC Course Reviews.
Proceedings of the Data Science, 2021

The Business Structure of a Metrology Institution Based on Linear Regression Analysis.
Proceedings of the 7th International Conference on Systems and Informatics, 2021

A Parallel Algorithm for Phase Retrieval with Dictionary Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Data Diversification Revisited: Why Does It Work?
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Doubly Efficient Interactive Proofs for General Arithmetic Circuits with Linear Prover Time.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

zkCNN: Zero Knowledge Proofs for Convolutional Neural Network Predictions and Accuracy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Chinese Text Classification Model Based On Bert And Capsule Network Structure.
Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Risk Quantification in Stochastic Simulation under Input Uncertainty.
ACM Trans. Model. Comput. Simul., 2020

Priority-Based Data Collection for UAV-Aided Mobile Sensor Network.
Sensors, 2020

Distributed Learning Based Joint Communication and Computation Strategy of IoT Devices in Smart Cities.
Sensors, 2020

Pole-Like Object Extraction and Pole-Aided GNSS/IMU/LiDAR-SLAM System in Urban Area.
Sensors, 2020

GNSS/IMU/ODO/LiDAR-SLAM Integrated Navigation System Using IMU/ODO Pre-Integration.
Sensors, 2020

Can statistical adjustment guided by causal inference improve the accuracy of effect estimation? A simulation and empirical research based on meta-analyses of case-control studies.
BMC Medical Informatics Decis. Mak., 2020

Fine-grained relation extraction with focal multi-task learning.
Sci. China Inf. Sci., 2020

Simulation Optimization by Reusing Past Replications: Don't Be Afraid of Dependence.
Proceedings of the Winter Simulation Conference, 2020

Generative Adversarial Training for Weakly Supervised Nuclei Instance Segmentation.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Accelerate Distributed Stochastic Descent for Nonconvex Optimization with Momentum.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

A Benchmarking Framework for Interactive 3D Applications in the Cloud.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

GPU-accelerated parallel optimization for sparse regularization.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

On Computation and Generalization of Generative Adversarial Imitation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Fast Training of Deep Neural Networks for Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Regularized Attentive Capsule Network for Overlapped Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
GNSS/INS/LiDAR-SLAM Integrated Navigation System Based on Graph Optimization.
Remote. Sens., 2019

Towards Understanding the Importance of Noise in Training Neural Networks.
CoRR, 2019

Towards Understanding the Importance of Shortcut Connections in Residual Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Data Optimization CNN Accelerator Design on FPGA.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Toward Understanding the Importance of Noise in Training Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

A Parallel optimization Approach on the Infinity Norm Minimization Problem.
Proceedings of the 27th European Signal Processing Conference, 2019

A Block Coordinate Descent Algorithm for Sparse Gaussian Graphical Model Inference with Laplacian Constraints.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Improving Abstractive Document Summarization with Salient Information Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations.
CoRR, 2018

Online Quantification of input uncertainty for parametric Models.
Proceedings of the 2018 Winter Simulation Conference, 2018

Guarder: A Tunable Secure Allocator.
Proceedings of the 27th USENIX Security Symposium, 2018

Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Share-housing allocation information service system based on Pareto optimality.
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017

Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

AllergyBot: A Chatbot Technology Intervention for Young Adults with Food Allergies Dining Out.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Gravity Compensation Using EGM2008 for High-Precision Long-Term Inertial Navigation Systems.
Sensors, 2016

Coupled Integration of CSAC, MIMU, and GNSS for Improved PNT Performance.
Sensors, 2016

Design and Fabrication of a Differential Electrostatic Accelerometer for Space-Station Testing of the Equivalence Principle.
Sensors, 2016

MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations.
Scientometrics, 2016

Storytelling in VR: light chaser's VR short film sent.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2016

2015
Implementation of Training Convolutional Neural Networks.
CoRR, 2015

Do Photos Help Express Our Feelings: Incorporating Multimodal Features into Microblog Sentiment Analysis.
Proceedings of the Social Media Processing - 4th National Conference, 2015

2014
Performance evaluation of a low power optical wireless link for biomedical data transfer.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

In vivo verification of a 100 Mbps transcutaneous optical telemetric link.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Live demonstration: In vivo verification of a 100 Mbps transcutaneous optical telemetric link.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013
System level model for transcutaneous optical telemetric link.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Design optimization of the optical receiver in transcutaneous telemetric links.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
Optical transcutaneous link for low power, high data rate telemetry.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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