Jianing Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
20
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction. | Hua Wang, Xiaodan Zhang, Yanzhao Shi, Chengxin Zheng, Wanyu Zhang, Zhen Wang, Jianing Wang, Xiaobing Yu |
| 2026 | ACL | Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding. | Dexuan Xu, Jiayin Yuan, Jianing Wang, Yanyuan Chen, Hanpin Wang, Yu Huang |
| 2026 | ACL | TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking. | Xiaocheng Zhang, Xi Wang, Yifei Lu, Jianing Wang, Zhuangzhuang Ye, Mengjiao Bao, Peng Yan, Xiaohong Su |
| 2026 | KSEM | FedRPI: A Federated Retrieval-Augmented Meta-learning Framework for Cost-Efficient and Privacy-Preserving Knowledge Interaction. | Xinyu Zhang, Jun Li, Jianing Wang, Rui Liu, Linlin You |
| 2026 | WWW | WPIS: From In-the-Wild Web Images to Physics-Aware 3D Scene Graphs for Physical Reasoning. | Ke Ma, Cong Fu, Jianing Wang, Yifei Wang, Wenyuan Li, Xinggang Wang, Meng Wang, Tian Xia |
| 2025 | AAAI | Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization. | Jianing Wang, Yang Zhou, Xiaocheng Zhang, Mengjiao Bao, Peng Yan |
| 2025 | ACL | LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. | Jin Jiang, Yuchen Yan, Yang Liu, Jianing Wang, Shuai Peng, Xunliang Cai, Yixin Cao, Mengdi Zhang, Liangcai Gao |
| 2025 | ACL | The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights. | Yufang Liu, Yao Du, Tao Ji, Jianing Wang, Yang Liu, Yuanbin Wu, Aimin Zhou, Mengdi Zhang, Xunliang Cai |
| 2025 | COMPSAC | Virtual Production: Global Collaboration and Challenges. | Juin Yang Lam, Changyu Li, Dave Towey, Lynne Chen, Levi Dean, Filippo Gilardi, Omar Zahran, Jianing Wang, Ke Liu, Chenyu Yan |
| 2025 | CVPR | HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator. | Fan Yang, Ru Zhen, Jianing Wang, Yanhao Zhang, Haoxiang Chen, Haonan Lu, Sicheng Zhao, Guiguang Ding |
| 2025 | EMNLP | Do Large Language Models excel in Complex Logical Reasoning with Formal Language? | Jin Jiang, Jianing Wang, Yuchen Yan, Yang Liu, Jianhua Zhu, Mengdi Zhang, Liangcai Gao |
| 2025 | EMNLP | Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning. | Jianing Wang, Jin Jiang, Yang Liu, Mengdi Zhang, Xunliang Cai |
| 2025 | ICCV | MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook. | Peng Xu, Shengwu Xiong, Jiajun Zhang, Yaxiong Chen, Bowen Zhou, Chen Change Loy, David A. Clifton, Kyoung Mu Lee, Luc Van Gool, Ruiming He, Ruilin Yao, Xinwei Long, Jirui Huang, Kai Tian, Sa Yangbcd, Yihua Shao, Jin Feng, Yue Zhong, Jiakai Zhou, Cheng Tang, Tianyu Zou, Yifang Zhang, Junming Liang, Guoyou Li, Zhaoxiang Wang, Qiang Zhou, Yichen Zhao, Shili Xiong, Hyeongjin Nam, Jaerin Lee, Jaeyoung Chung, JoonKyu Park, Junghun Oh, Kanggeon Lee, Wooseok Lee, Juneyoung Ro, Turghun Osman, Can Hu, Chaoyang Liao, Cheng Chen, Chengcheng Han, Chenhao Qiu, Chong Peng, Cong Xu, Dailin Li, Feiyu Wang, Feng Gao, Guibo Zhu, Guopeng Tang, Haibo Lu, Han Fang, Han Qi, Hanxiao Wu, Haobo Cheng, Hongbo Sun, Hongyao Chen, Huayong Hu, Hui Lid, Jiaheng Ma, Jiang Yu, Jianing Wang, Jie Yang, Jing He, Jinglin Zhou, Jingxuan Li, Josef Kittler, Lihao Zheng, Linnan Zhao, Mengxi Jia, Muyang Yan, Nguyen Thanh Thien, Pu Luo, Qi Li, Shien Song, Shijie Dong, Shuai Shao, Shutao Li, Taofeng Xue, Tianyang Xu, Tianyi Gao, Tingting Li, Wei Zhang, Weiyang Su, Xiaodong Dong, Xiao-Jun Wu, Xiaopeng Zhou, Xin Chen, Xin Wei, Xinyi You, Xudong Kang, Xujie Zhou, Xusheng Liu, Yanan Wang, Yanbin Huang, Yang Liu, Yang Yang, Yanglin Deng, Yashu Kang, Ye Yuan, Yi Wen, Yicen Tian, Yilin Tao, Yin Tang, Yipeng Lin, Yiqing Wang, Yiting Xi, Yongkang Yu, Yumei Li, Yuxin Qin, Yuying Chen, Yuzhe Cen, Zhaofan Zou, Zhaohong Liu, Zhehao Shen, Zhenglin Du, Zhengyang Li, Zhenni Huang, Zhenwei Shao, Zhilong Song, Zhiyong Feng, Zhiyu Wang, Zhou Yu, Ziang Li, Zihan Zhai, Zijian Zhang, Ziyang Peng, Ziyun Xiao, Zongshu Li |
| 2025 | ICLR | OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. | Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | ICML | PINNsAgent: Automated PDE Surrogation with Large Language Models. | Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang |
| 2024 | ACL | Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. | Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao |
| 2024 | ACL | InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. | Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley |
| 2024 | COLING | TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. | Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li |
| 2024 | IJCNN | Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? | Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li |
| 2024 | INDIN | Research on Local Obstacle Avoidance Control Strategy of Smart Car Based on Remote Control. | Hongliang Wang, Jianing Wang, Yixin Wang, Dawei Pi, Yijie Chen, Pengyu Xue |
| 2024 | KDD | CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. | Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley |
| 2024 | NAACL | Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. | Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao |
| 2024 | RAID | CrypTody: Cryptographic Misuse Analysis of IoT Firmware via Data-flow Reasoning. | Jianing Wang, Shanqing Guo, Wenrui Diao, Yue Liu, Haixin Duan, Yichen Liu, Zhenkai Liang |
| 2024 | SMC | Messenger RNA Subcellular Localization Prediction via Large Language Models and Attention Mechanisms. | Ge Kong, Yuanhao Fan, Jianing Wang, Zhao Yang |
| 2023 | AAAI | Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. | Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou |
| 2023 | ACL | When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. | Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao |
| 2023 | ACL | XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. | Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian |
| 2023 | CIKM | HugNLP: A Unified and Comprehensive Library for Natural Language Processing. | Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao |
| 2023 | EMNLP | Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. | Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li |
| 2023 | EMNLP | Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. | Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao |
| 2023 | EMNLP | Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation. | Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Weining Qian, Yunshi Lan |
| 2023 | EMNLP | Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. | Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li |
| 2023 | KSEM | ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. | Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian |
| 2023 | MICCAI | A Unified Deep-Learning-Based Framework for Cochlear Implant Electrode Array Localization. | Yubo Fan, Jianing Wang, Yiyuan Zhao, Rui Li, Han Liu, Robert F. Labadie, Jack H. Noble, Benoit M. Dawant |
| 2022 | EMNLP | Towards Unified Prompt Tuning for Few-shot Text Classification. | Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao |
| 2022 | EMNLP | KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. | Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao |
| 2022 | EMNLP | SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. | Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao |
| 2022 | EMNLP | Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. | Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao |
| 2022 | EMNLP | EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. | Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin |
| 2022 | EMNLP | Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. | Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He |
| 2022 | MICCAI | Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope Photography. | Jun Wu, Bo Shen, Hanwen Zhang, Jianing Wang, Qi Pan, Jianfeng Huang, Lixin Guo, Jianchun Zhao, Gang Yang, Xirong Li, Dayong Ding |
| 2021 | EMNLP | TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. | Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao |
| 2021 | IGARSS | Structured Building Extraction from High-Resolution Satellite Images with a Hybrid Convolutional Neural Network. | Jianing Wang, Hanjiang Xiong, Jianya Gong, Xianwei Zheng |
| 2021 | MICCAI | Atlas-based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks. | Jianing Wang, Dingjie Su, Yubo Fan, Srijata Chakravorti, Jack H. Noble, Benoit M. Dawant |
| 2020 | IGARSS | Fusion-Oriented Aircraft Detection in Large Scene Image Based on Tiny Darknet. | Jianing Wang, Ye Zhang |
| 2018 | MICCAI | Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear. | Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant |
| 2018 | MICCAI | Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. | Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant |