Jiansheng Wei

According to our database, Jiansheng Wei authored at least 36 papers between 2010 and 2026.

Collaborative distances:

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

2026

The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models.

Yilun Liu, Chunguang Zhao, Mengyao Piao, Lingqi Miao, Shimin Tao, Minggui He, Chenxin Liu, Li Zhang, Hongxia Ma, Jiaxin Guo, Chen Liu, Liqun Deng, Jiansheng Wei, Xiaojun Meng, Fanyi Du, Daimeng Wei, Yanghua Xiao

CoRR, April, 2026

DT2IT-MRM: Debiased Preference Construction and Iterative Training for Multimodal Reward Modeling.

Zhihong Zhang, Jie Zhao, Xiaojian Huang, Jin Xu, Zhuodong Luo, Xin Liu, Jiansheng Wei, Xuejin Chen

CoRR, April, 2026

MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis.

Zixiong Yu, Jun Rao, Guhan Chen, Songtao Tian, Bohan Li, Jiansheng Wei, Min Zhang, Xiaojun Meng

CoRR, April, 2026

PACE: Defying the Scaling Hypothesis of Exploration in Iterative Alignment for Mathematical Reasoning.

Jun Rao, Zixiong Yu, Xuebo Liu, Guhan Chen, Jing Li, Jiansheng Wei, Xiaojun Meng, Min Zhang

CoRR, February, 2026

Code LLMs Still Fall Short of Top Programmers: Evaluating Algorithmic Code Generation Through Computational Thinking.

Shisong Chen, Ziyu Zhou, Yicong Zhao, Chengyi Yang, Zhixu Li, Yanghua Xiao, Xin Lin, Xiaojun Meng, Jiansheng Wei, Kuien Liu

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

MMIFEvol: Towards Evolutionary Multimodal Instruction Following.

Haoyu Wang, Sihang Jiang, Xiangru Zhu, Yuyan Chen, Xiaojun Meng, Jiansheng Wei, Yitong Wang, Yanghua Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility.

Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Xiaojun Meng, Jiansheng Wei, Jiaqing Liang, Yanghua Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding.

Zhihong Zhang, Xiaojian Huang, Jin Xu, Zhuodong Luo, Xinzhi Wang, Jiansheng Wei, Xuejin Chen

CoRR, September, 2025

Dynamic Sampling that Adapts: Iterative DPO for Self-Aware Mathematical Reasoning.

Jun Rao, Xuebo Liu, Hexuan Deng, Zepeng Lin, Zixiong Yu, Jiansheng Wei, Xiaojun Meng, Min Zhang

CoRR, May, 2025

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs.

Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan

CoRR, May, 2025

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs.

Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu

CoRR, April, 2025

AutoClean: LLMs Can Prepare Their Training Corpus.

Xingyu Shen, Shengding Hu, Xinrong Zhang, Xu Han, Xiaojun Meng, Jiansheng Wei, Zhiyuan Liu, Maosong Sun

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ReasVQA: Advancing VideoQA with Imperfect Reasoning Process.

Jianxin Liang, Xiaojun Meng, Huishuai Zhang, Yueqian Wang, Jiansheng Wei, Dongyan Zhao

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Sparsing Law: Towards Large Language Models with Greater Activation Sparsity.

Yuqi Luo, Chenyang Song, Xu Han, Yingfa Chen, Chaojun Xiao, Xiaojun Meng, Liqun Deng, Jiansheng Wei, Zhiyuan Liu, Maosong Sun

Proceedings of the Forty-second International Conference on Machine Learning, 2025

VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format.

Yueqian Wang, Xiaojun Meng, Yuxuan Wang, Jianxin Liang, Jiansheng Wei, Huishuai Zhang, Dongyan Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory.

Haokun Zhao, Jinyi Han, Jiaqing Liang, Yanghua Xiao, Xiaojun Meng, Jiansheng Wei

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

LAM-Depth: Laplace-Attention Module-Based Self-Supervised Monocular Depth Estimation.

Jiansheng Wei, Shuguo Pan, Wang Gao, Peng Guo

IEEE Trans. Intell. Transp. Syst., October, 2024

Visually Guided Generative Text-Layout Pre-training for Document Intelligence.

Zhiming Mao, Haoli Bai, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu, Kam-Fai Wong

CoRR, 2024

2023

PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing.

Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, Xinjing Huang, Yadao Wang, Weichao Wang, Pengfei Li, Xiaoda Zhang, Alexander Podolskiy, Grigory Arshinov, Andrey Bout, Irina Piontkovskaya, Jiansheng Wei, Xin Jiang, Teng Su, Qun Liu, Jun Yao

CoRR, 2023

Structured Pruning for Efficient Generative Pre-trained Language Models.

Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong

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

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.

Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Yifeng Luo, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image.

Tao Zhao, Shuguo Pan, Wang Gao, Chao Sheng, Yingchun Sun, Jiansheng Wei

Vis. Comput., 2022

Triaxial Squeeze Attention Module and Mutual-Exclusion Loss Based Unsupervised Monocular Depth Estimation.

Jiansheng Wei, Shuguo Pan, Wang Gao, Tao Zhao

Neural Process. Lett., 2022

A dynamic object filtering approach based on object detection and geometric constraint between frames.

Jiansheng Wei, Shuguo Pan, Wang Gao, Tao Zhao

IET Image Process., 2022

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.

Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu

CoRR, 2022

PanGu-Coder: Program Synthesis with Function-Level Language Modeling.

Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, Guchun Zhang, Yinpeng Guo, Zhongqi Li, Qi Zhang, Meng Xiao, Bo Shen, Lin Li, Hao Yu, Li Yan, Pingyi Zhou, Xin Wang, Yuchi Ma, Ignacio Iacobacci, Yasheng Wang, Guangtai Liang, Jiansheng Wei, Xin Jiang, Qianxiang Wang, Qun Liu

CoRR, 2022

Fast Grad-TTS: Towards Efficient Diffusion-Based Speech Generation on CPU.

Ivan Vovk, Tasnima Sadekova, Vladimir Gogoryan, Vadim Popov, Mikhail A. Kudinov, Jiansheng Wei

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Unified System for Voice Cloning and Voice Conversion through Diffusion Probabilistic Modeling.

Tasnima Sadekova, Vladimir Gogoryan, Ivan Vovk, Vadim Popov, Mikhail A. Kudinov, Jiansheng Wei

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme.

Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Sergeevich Kudinov, Jiansheng Wei

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Accurate Network Quantization with Equivalent Smooth Regularizer.

Kirill Solodskikh, Vladimir Chikin, Ruslan Aydarkhanov, Dehua Song, Irina Zhelavskaya, Jiansheng Wei

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme.

Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail A. Kudinov, Jiansheng Wei

CoRR, 2021

2016

HiGene: A high-performance platform for genomic data analysis.

Liqun Deng, Guowei Huang, Yuzheng Zhuang, Jiansheng Wei, Youliang Yan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014

Efficiently Representing Membershipfor Variable Large Data Sets.

Jiansheng Wei, Hong Jiang, Ke Zhou, Dan Feng

IEEE Trans. Parallel Distributed Syst., 2014

2011

Detecting Duplicates over Sliding Windows with RAM-Efficient Detached Counting Bloom Filter Arrays.

Jiansheng Wei, Hong Jiang, Ke Zhou, Dan Feng, Hua Wang

Proceedings of the Sixth International Conference on Networking, Architecture, and Storage, 2011

DBA: A Dynamic Bloom Filter Array for Scalable Membership Representation of Variable Large Data Sets.

Jiansheng Wei, Hong Jiang, Ke Zhou, Dan Feng

Proceedings of the MASCOTS 2011, 2011

2010

MAD2: A scalable high-throughput exact deduplication approach for network backup services.

Jiansheng Wei, Hong Jiang, Ke Zhou, Dan Feng

Proceedings of the IEEE 26th Symposium on Mass Storage Systems and Technologies, 2010