| 2026 | AAAI | DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression. | Pengyu Cheng, Jiacheng Wang, Tianle Chen, Bei Liu, Xiaofeng Hou, Jiacheng Liu |
| 2026 | ACL | Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models. | Tianle Chen, Pengyu Cheng, Qiyuan Zhu, Jiacheng Wang, Bei Liu, Hao Gu, Ruijie Shen, Xiaofeng Hou, Sirui Han, Jiacheng Liu |
| 2026 | ACL | BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook. | Hao Gu, Lujun Li, Hao Wang, Lei Wang, Zheyu Wang, Bei Liu, Jiacheng Liu, Qiyuan Zhu, Sirui Han, Yike Guo |
| 2026 | ACL | QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training-Inference Mismatch. | Hao Gu, Hao Wang, Jiacheng Liu, Lujun Li, Qiyuan Zhu, Bei Liu, Binxing Xu, Lei Wang, Xintong Yang, Sida Lin, Sirui Han, Yike Guo |
| 2026 | ACL | Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs. | Binxing Xu, Hao Gu, Lujun Li, Hao Wang, Bei Liu, Jiacheng Liu, Qiyuan Zhu, Xintong Yang, Chao Li, Sirui Han, Yike Guo |
| 2025 | ASRU | OOQ: Outlier-Oriented Quantization for Efficient Large Language Models. | Haoyu Wang, Bei Liu, Hang Shao, Bo Xiao, Ke Zeng, Guanglu Wan, Yanmin Qian |
| 2025 | ICASSP | Efficient Pruning for Large-Scale Seq2Seq Speech Models without Back-Propagation. | Tianteng Gu, Bei Liu, Yanmin Qian |
| 2025 | Interspeech | Ultra-Low Bit Post-Training Quantization of Large Speech Models via K-Means Clustering and Mixed Precision Allocation. | Tianteng Gu, Bei Liu, Haoyu Wang, Yanmin Qian |
| 2025 | MMM | RoLD: Robot Latent Diffusion for Multi-task Policy Modeling. | Wenhui Tan, Bei Liu, Junbo Zhang, Ruihua Song, Jianlong Fu |
| 2025 | WACV | Transferring Foundation Models for Generalizable Robotic Manipulation. | Jiange Yang, Wenhui Tan, Chuhao Jin, Keling Yao, Bei Liu, Jianlong Fu, Ruihua Song, Gangshan Wu, Limin Wang |
| 2024 | ACCV | Capture Concept Through Comparison: Vision-and-Language Representation Learning with Intrinsic Information Mining. | Yun-Zhu Song, Yi-Syuan Chen, Tzu-Ling Lin, Bei Liu, Jianlong Fu, Hong-Han Shuai |
| 2024 | GLOBECOM | Analyzing Ultra-Low Latency, Ultra-High Reliable and Ultra-Large Connectivity Communication in Scalable CF mMIMO Systems. | Biru Zhang, Yuting Zhang, Jie Zeng, Bei Liu, Xin Su |
| 2024 | ICASSP | One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models. | Hang Shao, Bei Liu, Yanmin Qian |
| 2024 | Interspeech | SparseWAV: Fast and Accurate One-Shot Unstructured Pruning for Large Speech Foundation Models. | Tianteng Gu, Bei Liu, Hang Shao, Yanmin Qian |
| 2024 | MMM | SSK-Yolo: Global Feature-Driven Small Object Detection Network for Images. | Bei Liu, Jian Zhang, Tianwen Yuan, Peng Huang, Chengwei Feng, Minghe Li |
| 2024 | WACV | Revisiting Latent Space of GAN Inversion for Robust Real Image Editing. | Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama |
| 2023 | AAAI | Develop AI Teaching and Learning Resources for Compulsory Education in China. | Jiachen Song, Jinglei Yu, Li Yan, Linan Zhang, Bei Liu, Yujin Zhang, Yu Lu |
| 2023 | CVPR | MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation. | Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo |
| 2023 | ICASSP | Lowbit Neural Network Quantization for Speaker Verification. | Haoyu Wang, Bei Liu, Yifei Wu, Zhengyang Chen, Yanmin Qian |
| 2023 | ICCV | SINC: Self-Supervised In-Context Learning for Vision-Language Tasks. | Yi-Syuan Chen, Yun-Zhu Song, Cheng Yu Yeo, Bei Liu, Jianlong Fu, Hong-Han Shuai |
| 2023 | ICCV | Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations. | Seogkyu Jeon, Bei Liu, Pilhyeon Lee, Kibeom Hong, Jianlong Fu, Hyeran Byun |
| 2023 | ICLR | CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment. | Hongwei Xue, Yuchong Sun, Bei Liu, Jianlong Fu, Ruihua Song, Houqiang Li, Jiebo Luo |
| 2023 | Interspeech | Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022. | Zhengyang Chen, Bing Han, Xu Xiang, Houjun Huang, Bei Liu, Yanmin Qian |
| 2023 | Interspeech | Reversible Neural Networks for Memory-Efficient Speaker Verification. | Bei Liu, Yanmin Qian |
| 2023 | Interspeech | ECAPA++: Fine-grained Deep Embedding Learning for TDNN Based Speaker Verification. | Bei Liu, Yanmin Qian |
| 2023 | Interspeech | Extremely Low Bit Quantization for Mobile Speaker Verification Systems Under 1MB Memory. | Bei Liu, Haoyu Wang, Yanmin Qian |
| 2023 | Interspeech | Adaptive Neural Network Quantization For Lightweight Speaker Verification. | Haoyu Wang, Bei Liu, Yifei Wu, Yanmin Qian |
| 2023 | ISCC | Deep Reinforcement Learning-Based SFC Deployment Scheme for 6G IoT Scenario. | Shuting Long, Bei Liu, Hui Gao, Xin Su, Xibin Xu |
| 2023 | ISCC | A Model-Driven Quasi-ResNet Belief Propagation Neural Network Decoder for LDPC Codes. | Liangsi Ma, Bei Liu, Xin Su, Xibin Xu |
| 2023 | ISCC | Intelligent and Stable Resource Allocation for Delay-Sensitive MEC in 6G Networks. | Yalin Zhang, Hui Gao, Bei Liu, Xin Su, Xibin Xu |
| 2023 | Tencon | NLDDPG Based Joint Optimization Decision Scheme for Vehicular Network Offloading and Resource Allocation. | Hui Hu, Bei Liu, Xin Su, Hui Gao, Xibin Xu |
| 2023 | Tencon | eMBB-URLLC Multiplexing: A Greedy Scheduling Strategy for URLLC Traffic with Multiple Delay Requirements. | Can Li, Bei Liu, Xin Su, Xibin Xu |
| 2022 | ACL | Debiasing Event Understanding for Visual Commonsense Tasks. | Minji Seo, YeonJoon Jung, Seungtaek Choi, Seung-won Hwang, Bei Liu |
| 2022 | APNOMS | Intelligent Representation of Wireless Network States: A Multi-Layer Correlation Approach. | Shengchao Deng, Hui Gao, Xin Su, Bei Liu |
| 2022 | CVPR | Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions. | Hongwei Xue, Tiankai Hang, Yanhong Zeng, Yuchong Sun, Bei Liu, Huan Yang, Jianlong Fu, Baining Guo |
| 2022 | ICASSP | MLP-SVNET: A Multi-Layer Perceptrons Based Network for Speaker Verification. | Bing Han, Zhengyang Chen, Bei Liu, Yanmin Qian |
| 2022 | ICASSP | Self-Knowledge Distillation via Feature Enhancement for Speaker Verification. | Bei Liu, Haoyu Wang, Zhengyang Chen, Shuai Wang, Yanmin Qian |
| 2022 | Interspeech | Attentive Feature Fusion for Robust Speaker Verification. | Bei Liu, Zhengyang Chen, Yanmin Qian |
| 2022 | Interspeech | Dual Path Embedding Learning for Speaker Verification with Triplet Attention. | Bei Liu, Zhengyang Chen, Yanmin Qian |
| 2022 | Interspeech | DF-ResNet: Boosting Speaker Verification Performance with Depth-First Design. | Bei Liu, Zhengyang Chen, Shuai Wang, Haoyu Wang, Bing Han, Yanmin Qian |
| 2022 | VTC | Knowledge-Embedded Deep Reinforcement Learning for Autonomous Network Decision-Making Algorithm. | Yalin Zhang, Hui Gao, Xin Su, Bei Liu |
| 2021 | CVPR | Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning. | Zhicheng Huang, Zhaoyang Zeng, Yupan Huang, Bei Liu, Dongmei Fu, Jianlong Fu |
| 2021 | ISKE | Fuzzy Logic Systems for the Weakest Uninorm. | Minxia Luo, Hongyan Shi, Bei Liu |
| 2019 | GLOBECOM | Deep Reinforcement Learning Based Computation Offloading for Not Only Stack Architecture. | Xiangyun Zheng, Lu Ge, Jie Zeng, Bei Liu, Xin Su |
| 2019 | ICCV | WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection. | Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, Lei Zhang |
| 2019 | ISKE | Aggregation Using Uninorms in L | Minxia Luo, Yue Zhang, Bei Liu |
| 2019 | VTC | Power Allocation in PDMA Systems with Imperfect Channel State Information. | Mingyao Peng, Jie Zeng, Xin Su, Bei Liu |
| 2018 | GLOBECOM | Power Allocation in Downlink PDMA Systems. | Mingyao Peng, Jie Zeng, Xin Su, Bei Liu, Limin Xiao |
| 2018 | GLOBECOM | Cross-Layer Power Control for Uplink NOMA in IoT Applications with Statistical Delay Constraints. | Chiyang Xiao, Jie Zeng, Bei Liu, Xin Su, Jing Wang |
| 2017 | VTC | Interleaver-Based Pattern Division Multiple Access with Iterative Decoding and Detection. | Jie Zeng, Bei Liu, Xin Su |
| 2017 | VTC | Joint Pattern Assignment and Power Allocation in PDMA. | Jie Zeng, Bei Liu, Xin Su |
| 2017 | WorldCIST | A Unified Framework of New Multiple Access for 5G Systems. | Bin Fan, Xin Su, Jie Zeng, Bei Liu |
| 2016 | ICCCN | A Simpler Constant Factor Approximation for the k-Connected m-Domination Set Problem in Unit Disk Graph. | Bei Liu, Wei Wang, Donghyun Kim, Yingshu Li, Sung-Sik Kwon |
| 2016 | WorldCIST | A Low-Complexity Approximate Power Allocation in Ultra-Dense Network. | Bei Liu, Jie Zeng, Xin Su, Xibin Xu, Limin Xiao |
| 2015 | INFOCOM | A better constant approximation for minimum 3-connected m-dominating set problem in unit disk graph using Tutte decomposition. | Wei Wang, Bei Liu, Donghyun Kim, Deying Li, Jingyi Wang, Yaolin Jiang |
| 2015 | ISNN | A New Virus-Antivirus Spreading Model. | Bei Liu, Chuandong Li |
| 2015 | VTC | Flow-Level-Delay Constraint Small Cell Sleeping with Macro Base Station Cooperation for Energy Saving in HetNet. | Bei Liu, Ming Zhao, Wuyang Zhou, Jinkang Zhu, Peng Dong |
| 2014 | WCNC | QoS aware energy efficient resource allocation in HSDPA systems. | Yinghao Jin, Bei Liu, Ling Qiu, Jie Xu, Yi Huang |
| 2009 | VTC | Fuzzy Satisfaction Factor based Scheduling for Multi-media Communications in MIMO Broadcast Channels. | Bei Liu, Ling Qiu, Tao Liu |