Jiexin Wang

According to our database, Jiexin Wang authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph-Based Multimodal Topic Modeling With Word Relations and Object Relations.

Bingshan Zhu, Yi Cai, Jiexin Wang

IEEE Trans. Multim., 2024

Knowledge-Augmented Visual Question Answering With Natural Language Explanation.

Jiayuan Xie, Yi Cai, Jiali Chen, Ruohang Xu, Jiexin Wang, Qing Li

IEEE Trans. Image Process., 2024

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

Jiexin Wang, Xitong Luo, Liuwen Cao, Hongkui He, Hailin Huang, Jiayuan Xie, Adam Jatowt, Yi Cai

CoRR, 2024

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

Jiexin Wang, Adam Jatowt, Yi Cai

CoRR, 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.

Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2024

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

Jiexin Wang, Jiahao Chen, Bing Su

CoRR, 2024

Energy dissipation laws of time filtered BDF methods up to fourth-order for the molecular beam epitaxial equation.

Jiexin Wang, Yuanyuan Kang, Hong-lin Liao

Commun. Nonlinear Sci. Numer. Simul., 2024

Deconfounded Emotion Guidance Sticker Selection with Causal Inference.

Jiali Chen, Yi Cai, Ruohang Xu, Jiexin Wang, Jiayuan Xie, Qing Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Reward-Punishment Reinforcement Learning with Maximum Entropy.

Jiexin Wang, Eiji Uchibe

Proceedings of the International Joint Conference on Neural Networks, 2024

Domain-Adaptive and Subgroup-Specific Cascaded Temperature Regression for Out-of-Distribution Calibration.

Jiexin Wang, Jiahao Chen, Bing Su

Proceedings of the IEEE International Conference on Acoustics, 2024

A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation.

Li Yuan, Yi Cai, Haopeng Ren, Jiexin Wang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Beyond Code: Evaluate Thought Steps for Complex Code Generation.

Liuwen Cao, Yi Cai, Jiexin Wang, Hongkui He, Hailin Huang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Automated Defect Report Generation for Enhanced Industrial Quality Control.

Jiayuan Xie, Zhiping Zhou, Zihan Wu, Xinting Zhang, Jiexin Wang, Yi Cai, Qing Li

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.

Jiexin Wang, Liuwen Cao, Xitong Luo, Zhiping Zhou, Jiayuan Xie, Adam Jatowt, Yi Cai

CoRR, 2023

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

Jiexin Wang, Jiahao Chen, Bing Su

CoRR, 2023

BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information.

Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai

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.

Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression.

Jiexin Wang, Jiahao Chen, Bing Su

Proceedings of the IEEE International Conference on Acoustics, 2023

Scene Graph Enhanced Pseudo-Labeling for Referring Expression Comprehension.

Cantao Wu, Yi Cai, Liuwu Li, Jiexin Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

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

Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa

CoRR, 2022

ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections.

Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa

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.

Jiexin Wang, Stefan Elfwing, Eiji Uchibe

Neural Networks, 2021

Improving question answering for event-focused questions in temporal collections of news articles.

Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa

Inf. Retr. J., 2021

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

Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa

CoRR, 2021

Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections.

Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa

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.

Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa

Proceedings of the Advances in Information Retrieval, 2020

2019

Discriminative transfer learning via local and global structure preservation.

Chao Wang, Hongya Tuo, Jiexin Wang, Lingfeng Qiao

Signal Image Video Process., 2019

2018

Joint attribute chain prediction for zero-shot learning.

Lingfeng Qiao, Hongya Tuo, Jiexin Wang, Chao Wang, Zhongliang Jing

IET Comput. Vis., 2018

Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture.

Jiexin Wang, Stefan Elfwing, Eiji Uchibe

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.

Jiexin Wang

PhD thesis, 2017

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

Jiexin Wang, Eiji Uchibe, Kenji Doya

Frontiers Neurorobotics, 2017

2016

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

Jiexin Wang, Eiji Uchibe, Kenji Doya

Artif. Life Robotics, 2016

2014

A systematic study of solvent effect on the crystal habit of dirithromycin solvates by computer simulation.

Zuozhong Liang, Qinhua Yi, Wei Wang, Xianglong Han, Jianfeng Chen, Yuan Le, Jiexin Wang, Chunyu Xue, Hong Zhao

Comput. Chem. Eng., 2014

Using Support Vector Machine to Identify Imaging Biomarkers of Major Depressive Disorder and Anxious Depression.

Minyue Chi, Shengwen Guo, Yuping Ning, Jie Li, Haochen Qi, Minjian Gao, Jiexin Wang, Xiaowei Hu, Yangbo Guo, Yuling Yang, Hongjun Peng, Kai Wu

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014