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 002 (BIC-TA, 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)

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)

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)

Policy Hyperparameter Exploration for Behavioral Learning of Smartphone Robots. - Jiexin Wang (2017)

Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture. - Jiexin Wang; Stefan Elfwing; Eiji Uchibe (ICDL-EPIROB, 2018)

Joint attribute chain prediction for zero-shot learning. - Lingfeng Qiao; Hongya Tuo; Jiexin Wang; Chao Wang; Zhongliang Jing (IET Comput. Vis., 2018)

Discriminative transfer learning via local and global structure preservation. - Chao Wang; Hongya Tuo; Jiexin Wang; Lingfeng Qiao (Signal Image Video Process., 2019)

Answering Event-Related Questions over Long-Term News Article Archives. - Jiexin Wang; Adam Jatowt; Michael Färber 001; Masatoshi Yoshikawa (ECIR (1), 2020)

Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections. - Jiexin Wang; Adam Jatowt; Masatoshi Yoshikawa (SIGIR, 2021)

ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Archival News Collections. - Jiexin Wang; Adam Jatowt; Masatoshi Yoshikawa (CoRR, 2021)

Improving question answering for event-focused questions in temporal collections of news articles. - Jiexin Wang; Adam Jatowt; Michael Färber 001; Masatoshi Yoshikawa (Inf. Retr. J., 2021)

Modular deep reinforcement learning from reward and punishment for robot navigation. - Jiexin Wang; Stefan Elfwing; Eiji Uchibe (Neural Networks, 2021)

ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections. - Jiexin Wang; Adam Jatowt; Masatoshi Yoshikawa (SIGIR, 2022)

TimeBERT: Enhancing Pre-Trained Language Representations with Temporal Information. - Jiexin Wang; Adam Jatowt; Masatoshi Yoshikawa (CoRR, 2022)

Scene Graph Enhanced Pseudo-Labeling for Referring Expression Comprehension. - Cantao Wu; Yi Cai 001; Liuwu Li; Jiexin Wang (EMNLP (Findings), 2023)

Toward Auto-Evaluation With Confidence-Based Category Relation-Aware Regression. - Jiexin Wang; Jiahao Chen; Bing Su 001 (ICASSP, 2023)

Spatio-Temporal Branching for Motion Prediction using Motion Increments. - Jiexin Wang; Yujie Zhou; Wenwen Qiang; Ying Ba; Bing Su 001; Ji-Rong Wen (ACM Multimedia, 2023)

BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. - Jiexin Wang; Adam Jatowt; Masatoshi Yoshikawa; Yi Cai 001 (SIGIR, 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 001 (CoRR, 2023)

Automated Defect Report Generation for Enhanced Industrial Quality Control. - Jiayuan Xie; Zhiping Zhou; Zihan Wu; Xinting Zhang; Jiexin Wang; Yi Cai 001; Qing Li 001 (AAAI, 2024)

Beyond Code: Evaluate Thought Steps for Complex Code Generation. - Liuwen Cao; Yi Cai 001; Jiexin Wang; Hongkui He; Hailin Huang (LREC/COLING, 2024)

A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation. - Li Yuan; Yi Cai 001; Haopeng Ren; Jiexin Wang (LREC/COLING, 2024)

Domain-Adaptive and Subgroup-Specific Cascaded Temperature Regression for Out-of-Distribution Calibration. - Jiexin Wang; Jiahao Chen; Bing Su 001 (ICASSP, 2024)

Reward-Punishment Reinforcement Learning with Maximum Entropy. - Jiexin Wang; Eiji Uchibe (IJCNN, 2024)

Deconfounded Emotion Guidance Sticker Selection with Causal Inference. - Jiali Chen; Yi Cai 001; Ruohang Xu; Jiexin Wang; Jiayuan Xie; Qing Li 001 (ACM Multimedia, 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)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Jiexin Wang; Huimin Chen; Bowen Sun; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models. - Jiexin Wang; Adam Jatowt; Yi Cai 001 (CoRR, 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 001 (CoRR, 2024)

Knowledge-Augmented Visual Question Answering With Natural Language Explanation. - Jiayuan Xie; Yi Cai 001; Jiali Chen; Ruohang Xu; Jiexin Wang; Qing Li 001 (IEEE Trans. Image Process., 2024)

Graph-Based Multimodal Topic Modeling With Word Relations and Object Relations. - Bingshan Zhu; Yi Cai 001; Jiexin Wang (IEEE Trans. Multim., 2024)

Rethinking-based Code Summarization with Chain of Comments. - Liuwen Cao; Hongkui He; Hailin Huang; Jiexin Wang; Yi Cai 001 (COLING, 2025)

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction. - Jiexin Wang; Yiju Guo; Bing Su 001 (ICASSP, 2025)

Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction. - Jiexin Wang; Yiju Guo; Bing Su 001 (ICASSP, 2025)

CLCoSum: Curriculum Learning-Based Code Summarization for Code Language Models. - Hongkui He; Jiexin Wang; Liuwen Cao; Yi Cai 001 (ICPC, 2025)

Code Ranking with Structure Awareness Contrastive Learning. - Hailin Huang; Liuwen Cao; Jiexin Wang; Tianchen Yu; Yi Cai (ICPC, 2025)

CSE-WSS: Code Structure Enhancement Framework with Weighted Semantic Similarity for Changeset-Based Bug Localization. - Zhenghao Liu; Li Yuan; Jiexin Wang; Yi Cai 001 (SANER, 2025)

Decoding before aligning: Scale-Adaptive Early-Decoding Transformer for visual grounding. - Liuwu Li; Yi Cai 001; Jiexin Wang; Cantao Wu; Qingbao Huang; Qing Li 001 (Neurocomputing, 2025)

A knowledge-enhanced network for joint multimodal entity-relation extraction. - Shubin Huang; Yi Cai; Li Yuan; Jiexin Wang (Inf. Process. Manag., 2025)

Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation. - Jiexin Wang; Wenwen Qiang; Zhao Yang 006; Bing Su 001 (CoRR, 2025)