Bei Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
76
Venues
19
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
76 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement. | Yuan Ge, Junxiang Zhang, Xiaoqian Liu, Bei Li, Xiangnan Ma, Chenglong Wang, Kaiyang Ye, Yangfan Du, Linfeng Zhang, Yuxin Huang, Tong Xiao, Zhengtao Yu, Jingbo Zhu |
| 2026 | AAAI | Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. | Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Anxiang Ma, Zhengtao Yu, Jingbo Zhu, Tong Xiao |
| 2026 | AAAI | GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning. | Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu, Tong Xiao |
| 2026 | AAAI | Tuning Medical Foundation Models for Inner Ear Temporal CT Analysis with Plug-and-play Domain Knowledge Aggregator. | Weixun Wan, Xinyang Jiang, Zilong Wang, Bei Li, Cairong Zhao |
| 2026 | ACL | LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance. | Yuchun Fan, Bei Li, Peiguang Li, Yilin Wang, Yongyu Mu, Jian Yang, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, JingBo Zhu, Tong Xiao |
| 2026 | ACL | On the Emotion Understanding of Synthesized Speech. | Yuan Ge, Haishu Zhao, Aokai Hao, Junxiang Zhang, Bei Li, Xiaoqian Liu, Chenglong Wang, Jianjin Wang, Bingsen Zhou, Bingyu Liu, JingBo Zhu, Zhengtao Yu, Tong Xiao |
| 2026 | ACL | BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search. | Shiyu Liu, Yongjing Yin, Jianhao Yan, Yunbo Tang, Qinggang Zhang, Bei Li, Xin Chen, Jingang Wang, Xunliang Cai, Jinsong Su |
| 2026 | ACL | RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment. | Yingfeng Luo, Hongyu Liu, Dingyang Lin, Kaiyan Chang, Chenglong Wang, Bei Li, Quan Du, Tong Xiao, JingBo Zhu |
| 2026 | ACL | NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs. | Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, Murun Yang, Dingyang Lin, Kaiyan Chang, Tong Zheng, Bei Li, Peinan Feng, Quan Du, Tong Xiao, Jingbo Zhu |
| 2026 | ACL | MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks. | Junhao Ruan, Abudukeyumu Abudula, Bei Li, Yongjing Yin, Xinyu Liu, Kechen Jiao, Xin Chen, Jingang Wang, Xunliang Cai, Tong Xiao, Jingbo Zhu |
| 2025 | ACL | Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching. | Jianfei Zhang, Bei Li, Jun Bai, Rumei Li, Yanmeng Wang, Chenghua Lin, Wenge Rong |
| 2025 | ACL | Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation. | Yingfeng Luo, Tong Zheng, Yongyu Mu, Bei Li, Qinghong Zhang, Yongqi Gao, Ziqiang Xu, Peinan Feng, Xiaoqian Liu, Tong Xiao, JingBo Zhu |
| 2025 | ACSAC | CAUA: A Realistic and Effective Attack on Machine Unlearning Under Limited Information. | Jing Zhang, Yichen Zhang, Jie Cui, Xianfeng Xie, Chunyang Fan, Bei Li |
| 2025 | COLING | SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment. | Yuchun Fan, Yongyu Mu, Yilin Wang, Lei Huang, Junhao Ruan, Bei Li, Tong Xiao, Shujian Huang, Xiaocheng Feng, Jingbo Zhu |
| 2025 | COLING | Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment. | Jianfei Zhang, Jun Bai, Bei Li, Yanmeng Wang, Rumei Li, Chenghua Lin, Wenge Rong |
| 2025 | EMNLP | Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models. | Yuchun Fan, Yilin Wang, Yongyu Mu, Lei Huang, Bei Li, Xiaocheng Feng, Tong Xiao, JingBo Zhu |
| 2025 | EMNLP | TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making. | Kechen Jiao, Zhirui Fang, Jiahao Liu, Bei Li, Qifan Wang, Xinyu Liu, Junhao Ruan, Zhongjian Qiao, Yifan Zhu, Yaxin Xu, Jingang Wang, Xiu Li |
| 2025 | EMNLP | IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method. | Xinyu Liu, Bei Li, Jiahao Liu, Junhao Ruan, Kechen Jiao, Hongyin Tang, Jingang Wang, Tong Xiao, JingBo Zhu |
| 2025 | EMNLP | ReMamba: Equip Mamba with Effective Long-Sequence Modeling. | Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao |
| 2025 | HPCC | Differentiated Service Data-Driven Intelligent Adjustment Method for 5G/5G-A Broadcast Beams. | Zixiang Di, Bei Li, Lu Zhi, Tian Xiao, Feibi Lyu, Jinchao Huang, Wei Zhang, Zhaoxing Li, Songbai Liang, Pei Wang, Jinjian Qiao |
| 2025 | HPCC | The Application of SSB Frequency Offset in Low-Altitude Network. | Bei Li, Zixiang Di, Tian Xiao, Zhaoning Wang, Liang Liu, Feibi Lv, Hongbing Ma, Jiajia Zhu, Guanghai Liu, Lexi Xu, Wei Zhang, Xiaomeng Zhu |
| 2025 | HPCC | Edge Computing-Based Anonymous Cross-Domain Authentication Scheme for VANETs. | Bei Li, Hong Zhong, Chengdong Gu, Jing Zhang, Qingyang Zhang, Jiaxin Li, Jie Cui |
| 2025 | HPCC | Combining Large and Small Models to Empower Handling of User Complaints of 5G Network. | Feibi Lyu, Songbai Liang, Zixiang Di, Tian Xiao, Lu Zhi, Jiajia Zhu, Lexi Xu, Bei Li, Yan Zhang, Zhaoning Wang |
| 2025 | HPCC | AI-Based 5G Beam Weight Optimization Scheme for Coverage Improvement in Low-Altitude Scenarios. | Tian Xiao, Mengyan Zhang, Bei Li, Zixiang Di, Chao Wang, Feibi Lyu, Yan Zhang, Wei Zhang, Lu Zhi, Chenrui Zang, Lexi Xu |
| 2025 | HPCC | Research on Host Classification Based on Language Models in Mobile Communication Networks. | Wei Zhang, Chen Cheng, Tianyi Wang, Yuhui Han, Yuan Tian, Dongliang Wang, Zixiang Di, Bei Li, Lexi Xu, Tian Xiao, Hong Sun, Guoguang Zhang |
| 2025 | HPCC | Transformer-Based Temporal Feature Pyramid Network for Temporal Action Proposal Generation. | Yan Zhang, Tian Xiao, Lu Zhi, Feibi Lv, Jiajia Zhu, Liang Liu, Zhaoning Wang, Zixiang Di, Lexi Xu, Bei Li |
| 2025 | ICASSP | Optimizing Speech Multi-View Feature Fusion through Conditional Computation. | Weiqiao Shan, Yuhao Zhang, Yuchen Han, Bei Li, Xiaofeng Zhao, Yuang Li, Min Zhang, Hao Yang, Tong Xiao, Jingbo Zhu |
| 2025 | ICLR | Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective. | Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li |
| 2025 | ICML | GRAM: A Generative Foundation Reward Model for Reward Generalization. | Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu |
| 2024 | AAAI | ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. | Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu |
| 2024 | ACL | Hybrid Alignment Training for Large Language Models. | Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu |
| 2024 | ACL | PartialFormer: Modeling Part Instead of Whole for Machine Translation. | Tong Zheng, Bei Li, Huiwen Bao, Jiale Wang, Weiqiao Shan, Tong Xiao, JingBo Zhu |
| 2024 | ACL | EIT: Enhanced Interactive Transformer. | Tong Zheng, Bei Li, Huiwen Bao, Tong Xiao, JingBo Zhu |
| 2024 | COLING | 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. | Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang |
| 2024 | EMNLP | Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation. | Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, Shimin Tao, Xiaofeng Zhao, Mahong Xia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu |
| 2024 | EMNLP | Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models. | Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu |
| 2024 | EMNLP | Revealing the Parallel Multilingual Learning within Large Language Models. | Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu |
| 2024 | EMNLP | CodeAgent: Autonomous Communicative Agents for Code Review. | Xunzhu Tang, Kisub Kim, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawend F. Bissyand |
| 2024 | EMNLP | Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. | Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang |
| 2024 | ICASSP | Soft Alignment of Modality Space for End-to-End Speech Translation. | Yuhao Zhang, Kaiqi Kou, Bei Li, Chen Xu, Chunliang Zhang, Tong Xiao, Jingbo Zhu |
| 2024 | ICLR | Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. | Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang |
| 2023 | ACL | ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. | Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan |
| 2023 | ACL | TranSFormer: Slow-Fast Transformer for Machine Translation. | Bei Li, Yi Jing, Xu Tan, Zhen Xing, Tong Xiao, Jingbo Zhu |
| 2023 | ACL | Augmenting Large Language Model Translators via Translation Memories. | Yongyu Mu, Abudurexiti Reheman, Zhiquan Cao, Yuchun Fan, Bei Li, Yinqiao Li, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 2023 | EMNLP | Rethinking and Improving Multi-task Learning for End-to-end Speech Translation. | Yuhao Zhang, Chen Xu, Bei Li, Hao Chen, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 2023 | EMNLP | Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs. | Yuxin Zuo, Bei Li, Chuanhao Lv, Tong Zheng, Tong Xiao, JingBo Zhu |
| 2023 | IJCNN | DUP-Net: Double U-PoolFormer Networks for Renal Artery Segmentation in CT Urography. | Bei Li, Wenkang Fan, Mingxian Yang, Zhiyuan Liu, Song Zheng, Jianhui Chen, Yinran Chen, Xiongbiao Luo |
| 2023 | MICCAI | A Novel Video-CTU Registration Method with Structural Point Similarity for FURS Navigation. | Mingxian Yang, Yinran Chen, Bei Li, Zhiyuan Liu, Song Zheng, Jianhui Chen, Xiongbiao Luo |
| 2022 | ACL | ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. | Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang |
| 2022 | ACL | On Vision Features in Multimodal Machine Translation. | Bei Li, Chuanhao Lv, Zefan Zhou, Tao Zhou, Tong Xiao, Anxiang Ma, Jingbo Zhu |
| 2022 | ICML | Learning Multiscale Transformer Models for Sequence Generation. | Bei Li, Tong Zheng, Yi Jing, Chengbo Jiao, Tong Xiao, Jingbo Zhu |
| 2022 | SIGMOD | Graph Pattern Matching in GQL and SQL/PGQ. | Alin Deutsch, Nadime Francis, Alastair Green, Keith W. Hare, Bei Li, Leonid Libkin, Tobias Lindaaker, Victor Marsault, Wim Martens, Jan Michels, Filip Murlak, Stefan Plantikow, Petra Selmer, Oskar van Rest, Hannes Voigt, Domagoj Vrgoc, Mingxi Wu, Fred Zemke |
| 2022 | TrustCom | Telecom Big Data assisted Algorithm and System of Campus Safety Management. | Chen Cheng, Xinzhou Cheng, Shikun Jiang, Xin Zhao, Yuhui Han, Tao Zhang, Lijuan Cao, Yuwei Jia, Tian Xiao, Bei Li |
| 2022 | TrustCom | Research on Voice Quality Evaluation Method Based on Artificial Neural Network. | Zixiang Di, Tian Xiao, Yi Li, Xinzhou Cheng, Bei Li, Lexi Xu, Xiaomeng Zhu, Lu Zhi, Rui Xia |
| 2022 | TrustCom | Research on User Complaint Problem Location and Complaint Early Warning Stragegy Based on Big Data Analysis. | Jie Gao, Lixia Liu, Tao Zhang, Shenghao Jia, Chuntao Song, Lexi Xu, Yang Wu, Bei Li, Yunyun Wang, Xinjie Hou |
| 2022 | TrustCom | Research on Capability Building of Mobile Network Data Analysis and Visualization. | Jian Guan, Xinzhou Cheng, Kun Chao, Xin He, Yuwei Jia, Lexi Xu, Yunyun Wang, Tian Xiao, Bei Li |
| 2022 | TrustCom | Research on OTFS Systems for 6G. | Bei Li, Tian Xiao, Kai Zhou, Lexi Xu, Guanghai Liu, Bo Wang, Jie Gao, Jian Guan, Zixiang Di |
| 2022 | TrustCom | Collaborative Improvement of User Experience and Network Quality Based on Big Data. | Chuntao Song, Jie Gao, Fan Zhang, Tao Zhang, Yi Zhang, Lixia Liu, Bei Li, Yong Wang, Lexi Xu |
| 2022 | TrustCom | Research on Intelligent 5G Remote Interference Avoidance and Clustering Scheme. | Tian Xiao, Bei Li, Zixiang Di, Guanghai Liu, Lexi Xu, Jian Guan, Zhaoning Wang, Chen Cheng, Yi Li |
| 2022 | TrustCom | AI based Collaborative Optimization Scheme for Multi-Frequency Heterogeneous 4G/5G Networks. | Tian Xiao, Guoping Xu, Bei Li, Lexi Xu, Xinzhou Cheng, Feibi Lyu, Guanghai Liu, Yi Zhang, Qingqing Zhang |
| 2022 | TrustCom | Telecom Customer Chum Prediction based on Half Termination Dynamic Label and XGBoost. | Yi Zhang, Fan Zhang, Chuntao Song, Xinzhou Cheng, Chen Cheng, Lexi Xu, Tian Xiao, Bei Li |
| 2022 | TrustCom | Mahalanobis Distance and Pauta Criterion based Log Anomaly Detection Algorithm for 5G Mobile Network. | Yuting Zheng, Yi Li, Yuchao Jin, Xiaomeng Zhu, Lexi Xu, Tian Xiao, Bei Li, Xinzhou Cheng |
| 2022 | TrustCom | Research on 5G Network Capacity and Expansion. | Xiaomeng Zhu, Yi Li, Yuting Zheng, Rui Xia, Lexi Xu, Bei Li, Zixiang Di, Lu Zhi, Xinzhou Cheng |
| 2022 | UIC | Research on Quality Prediction of Optical Modules in 5G Networks. | Bei Li, Hongjia Liu, Guanghai Liu, Wen Sun, Lexi Xu, Tian Xiao, Yi Li, Xiaomeng Zhu, Yuting Zheng, Qiang Chen |
| 2021 | AAAI | Learning Light-Weight Translation Models from Deep Transformer. | Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
| 2021 | ACL | Weight Distillation: Transferring the Knowledge in Neural Network Parameters. | Ye Lin, Yanyang Li, Ziyang Wang, Bei Li, Quan Du, Tong Xiao, Jingbo Zhu |
| 2021 | SIGMOD | PG-Keys: Keys for Property Graphs. | Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Keith W. Hare, Jan Hidders, Victor E. Lee, Bei Li, Leonid Libkin, Wim Martens, Filip Murlak, Josh Perryman, Ognjen Savkovic, Michael Schmidt, Juan F. Sequeda, Slawek Staworko, Dominik Tomaszuk |
| 2020 | ACL | Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. | Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li |
| 2020 | EMNLP | Shallow-to-Deep Training for Neural Machine Translation. | Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, Jingbo Zhu |
| 2020 | PACLIC | Marking Trustworthiness with Near Synonyms: A Corpus-based Study of "Renwei" and "Yiwei" in Chinese. | Bei Li, Chu-Ren Huang, Si Chen |
| 2019 | ACL | Learning Deep Transformer Models for Machine Translation. | Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao |
| 2018 | ICIP | Graph-Based Saliency Fusion with Superpixel-Level Belief Propagation for 3D Fixation Prediction. | Bei Li, Qiong Liu, Xiang Shi, You Yang |
| 2018 | PACLIC | Perceptual evaluation of Mandarin tone sandhi production by Cantonese speakers before and after perceptual training. | Bei Li, Yike Yang, Si Chen |
| 2017 | Interspeech | Mechanisms of Tone Sandhi Rule Application by Non-Native Speakers. | Si Chen, Yunjuan He, Chun Wah Yuen, Bei Li, Yike Yang |
| 2017 | VCIP | A robust 3D visual saliency computation model for human fixation prediction of stereoscopic videos. | Qiong Liu, You Yang, Pian Li, Bei Li |
| 2016 | IECON | System resilience improvement using multiple energy supply systems under natural disasters. | Bei Li, Robin Roche, Abdellatif Miraoui |