Jason Zhang

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

Bibliography

2026
Evaluating AI Meeting Summaries with a Reusable Cross-Domain Pipeline.
CoRR, April, 2026

One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction.
CoRR, April, 2026

2025
Is Passive Expertise-Based Personalization Enough? A Case Study in AI-Assisted Test-Taking.
CoRR, November, 2025

AutoLibra: Agent Metric Induction from Open-Ended Feedback.
CoRR, May, 2025

Breaking the Latency Barrier: Real-Time Incremental Community Detection with Live Graph Data on a Unified Graph Database Framework.
Proceedings of the Knowledge Graphs and Semantic Web - 7th International Conference, 2025

A Survey of Large Language Models in Mental Health Disorder Detection on Social Media.
Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025, 2025

On Efficient Computation of Generalized Distance Oracles.
Proceedings of the IEEE International Conference on Big Data, 2025

Decoding Actionability: A Computational Analysis of Teacher Observation Feedback.
Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

The Structural Safety Generalization Problem.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Sparse-view 3D in the Wild
PhD thesis, 2024

Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut.
Proc. ACM Manag. Data, 2024

Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions.
Nat. Mac. Intell., 2024

A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions.
Nat. Mac. Intell., 2024

Uncovering Latent Chain of Thought Vectors in Language Models.
CoRR, 2024

Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks.
CoRR, 2024

Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Graph XAI: Graph-agumented AI with Accuracy, Depth, Explainability, and Velocity.
Proceedings of the 26th International Workshop on Design, 2024

A Unified Graph Framework for Storage-Compute Coupled Cluster and High-Density Computing Cluster.
Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2024

2023
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain.
CoRR, 2023


Accelerating Exploration with Unlabeled Prior Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BroadcastSTAND: Clustering Multimedia Sources of News.
Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, 2023

FlexDTW: Dynamic Time Warping With Flexible Boundary Conditions.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Reliable Classification using Compact Support Probabilistic PCA.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC.
CoRR, 2022

Effects of laryngeal manipulations on voice gender perception.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Paper Classification Using Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2022

2021

2020
Towards Real-time Drowsiness Detection for Elderly Care.
CoRR, 2020

2019
Deep Reinforcement Learning for Personalized Search Story Recommendation.
CoRR, 2019

Machine Learning With Feature Selection Using Principal Component Analysis for Malware Detection: A Case Study.
CoRR, 2019

2018
Highly Efficient Secondary-Resonant Active Clamp Flyback Converter.
IEEE Trans. Ind. Electron., 2018

MLPdf: An Effective Machine Learning Based Approach for PDF Malware Detection.
CoRR, 2018

Ring Ultrasound Transducer Based Miniaturized Photoacoustic Imaging System.
Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

2017
Inequalities, Preferences and Rankings in US Sports Coach Hiring Networks.
CoRR, 2017

Machine Learning Based Detection of Clickbait Posts in Social Media.
CoRR, 2017

2012

2006
Direct Marketing When There Are Voluntary Buyers.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Association-Rules Mining Based Broadcasting Approach for XML Data.
Proceedings of the Advances in Information Systems, 4th International Conference, 2006

2004
Can e-government help China meet the challenges of joining the World Trade Organization?
Electron. Gov. an Int. J., 2004

2002
Robust Relational Parsing Over Biomedical Literature: Extracting Inhibit Relations.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

Medstract: creating large-scale information servers from biomedical texts.
Proceedings of the ACL 2002 Workshop on Natural Language Processing in the Biomedical Domain, 2002


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