Jiexin Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Global Structure

Code Generation

Eligibility Traces

Reinforcement Learning

Top Venues

Publications

Jiexin Wang, Jiahao Chen, Bing Su
Domain-adaptive and Subgroup-specific Cascaded Temperature Regression for Out-of-distribution Calibration. CoRR (2024)
Jiexin Wang, Adam Jatowt, Yi Cai
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models. CoRR (2024)
Liuwen Cao, Yi Cai, Jiexin Wang, Hongkui He, Hailin Huang
Beyond Code: Evaluate Thought Steps for Complex Code Generation. LREC/COLING (2024)
Jiexin Wang, Yuanyuan Kang, Hong-lin Liao
Energy dissipation laws of time filtered BDF methods up to fourth-order for the molecular beam epitaxial equation. Commun. Nonlinear Sci. Numer. Simul. 134 (2024)
Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. CoRR (2024)
Jiexin Wang, Jiahao Chen, Bing Su
Domain-Adaptive and Subgroup-Specific Cascaded Temperature Regression for Out-of-Distribution Calibration. ICASSP (2024)
Jiayuan Xie, Zhiping Zhou, Zihan Wu, Xinting Zhang, Jiexin Wang, Yi Cai, Qing Li
Automated Defect Report Generation for Enhanced Industrial Quality Control. AAAI (2024)
Bingshan Zhu, Yi Cai, Jiexin Wang
Graph-Based Multimodal Topic Modeling With Word Relations and Object Relations. IEEE Trans. Multim. 26 (2024)
Jiexin Wang, Eiji Uchibe
Reward-Punishment Reinforcement Learning with Maximum Entropy. CoRR (2024)
Li Yuan, Yi Cai, Haopeng Ren, Jiexin Wang
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation. LREC/COLING (2024)
Jiayuan Xie, Yi Cai, Jiali Chen, Ruohang Xu, Jiexin Wang, Qing Li
Knowledge-Augmented Visual Question Answering With Natural Language Explanation. IEEE Trans. Image Process. 33 (2024)
Jiexin Wang, Xitong Luo, Liuwen Cao, Hongkui He, Hailin Huang, Jiayuan Xie, Adam Jatowt, Yi Cai
Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval. CoRR (2024)
Li Yuan, Yi Cai, Haopeng Ren, Jiexin Wang
A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation. CoRR (2024)
Jiexin Wang, Liuwen Cao, Xitong Luo, Zhiping Zhou, Jiayuan Xie, Adam Jatowt, Yi Cai
Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation. CoRR (2023)
Jiexin Wang, Jiahao Chen, Bing Su
Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression. ICASSP (2023)
Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen
Spatio-Temporal Branching for Motion Prediction using Motion Increments. CoRR (2023)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. SIGIR (2023)
Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen
Spatio-Temporal Branching for Motion Prediction using Motion Increments. ACM Multimedia (2023)
Cantao Wu, Yi Cai, Liuwu Li, Jiexin Wang
Scene Graph Enhanced Pseudo-Labeling for Referring Expression Comprehension. EMNLP (Findings) (2023)
Jiexin Wang, Jiahao Chen, Bing Su
Toward Auto-evaluation with Confidence-based Category Relation-aware Regression. CoRR (2023)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections. SIGIR (2022)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information. CoRR (2022)
Jiexin Wang, Stefan Elfwing, Eiji Uchibe
Modular deep reinforcement learning from reward and punishment for robot navigation. Neural Networks 135 (2021)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections. CoRR (2021)
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Improving question answering for event-focused questions in temporal collections of news articles. Inf. Retr. J. 24 (1) (2021)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa
Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections. SIGIR (2021)
Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Answering Event-Related Questions over Long-Term News Article Archives. ECIR (1) (2020)
Chao Wang, Hongya Tuo, Jiexin Wang, Lingfeng Qiao
Discriminative transfer learning via local and global structure preservation. Signal Image Video Process. 13 (4) (2019)
Jiexin Wang, Stefan Elfwing, Eiji Uchibe
Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture. ICDL-EPIROB (2018)
Lingfeng Qiao, Hongya Tuo, Jiexin Wang, Chao Wang, Zhongliang Jing
Joint attribute chain prediction for zero-shot learning. IET Comput. Vis. 12 (6) (2018)
Jiexin Wang, Eiji Uchibe, Kenji Doya
Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer. Frontiers Neurorobotics 11 (2017)
Jiexin Wang, Eiji Uchibe, Kenji Doya
EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot. Artif. Life Robotics 21 (1) (2016)
Zuozhong Liang, Qinhua Yi, Wei Wang, Xianglong Han, Jianfeng Chen, Yuan Le, Jiexin Wang, Chunyu Xue, Hong Zhao
A systematic study of solvent effect on the crystal habit of dirithromycin solvates by computer simulation. Comput. Chem. Eng. 62 (2014)
Minyue Chi, Shengwen Guo, Yuping Ning, Jie Li, Haochen Qi, Minjian Gao, Jiexin Wang, Xiaowei Hu, Yangbo Guo, Yuling Yang, Hongjun Peng, Kai Wu
Using Support Vector Machine to Identify Imaging Biomarkers of Major Depressive Disorder and Anxious Depression. BIC-TA (2014)