Jiexin Wang

Orcid: 0000-0002-7064-6507

According to our database1, Jiexin Wang authored at least 33 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Graph-Based Multimodal Topic Modeling With Word Relations and Object Relations.
IEEE Trans. Multim., 2024

Knowledge-Augmented Visual Question Answering With Natural Language Explanation.
IEEE Trans. Image Process., 2024

Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval.
CoRR, 2024

Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models.
CoRR, 2024

Reward-Punishment Reinforcement Learning with Maximum Entropy.
CoRR, 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.
CoRR, 2024

Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration.
CoRR, 2024

Energy dissipation laws of time filtered BDF methods up to fourth-order for the molecular beam epitaxial equation.
Commun. Nonlinear Sci. Numer. Simul., 2024

Domain-Adaptive and Subgroup-Specific Cascaded Temperature Regression for Out-of-Distribution Calibration.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Beyond Code: Evaluate Thought Steps for Complex Code Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Automated Defect Report Generation for Enhanced Industrial Quality Control.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation.
CoRR, 2023

Toward Auto-evaluation with Confidence-based Category Relation-aware Regression.
CoRR, 2023

BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Spatio-Temporal Branching for Motion Prediction using Motion Increments.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression.
Proceedings of the IEEE International Conference on Acoustics, 2023

Scene Graph Enhanced Pseudo-Labeling for Referring Expression Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information.
CoRR, 2022

ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Modular deep reinforcement learning from reward and punishment for robot navigation.
Neural Networks, 2021

Improving question answering for event-focused questions in temporal collections of news articles.
Inf. Retr. J., 2021

ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections.
CoRR, 2021

Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Answering Event-Related Questions over Long-Term News Article Archives.
Proceedings of the Advances in Information Retrieval, 2020

2019
Discriminative transfer learning via local and global structure preservation.
Signal Image Video Process., 2019

2018
Joint attribute chain prediction for zero-shot learning.
IET Comput. Vis., 2018

Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

2017
Policy Hyperparameter Exploration for Behavioral Learning of Smartphone Robots.
PhD thesis, 2017

Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer.
Frontiers Neurorobotics, 2017

2016
EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot.
Artif. Life Robotics, 2016

2014
A systematic study of solvent effect on the crystal habit of dirithromycin solvates by computer simulation.
Comput. Chem. Eng., 2014

Using Support Vector Machine to Identify Imaging Biomarkers of Major Depressive Disorder and Anxious Depression.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014


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