High Availability Connection Management via Software Bus and Mobile Agent in Network Management Environment. - Yewen Li; Luoming Meng (MATA, 2001)

A Hybrid 2D and 3D Convolution Neural Network for Stereo Matching. - Xuan Zeng; Yewen Li; Ziqian Chen; Liping Zhu (CSE, 2018)

FEB3D: An Efficient FPGA-Accelerated Compression Framework for Microscopy Images. - Wanqi Liu; Yewen Li; Dawei Zang; Guangming Tan (NPC, 2020)

Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network. - Zhibin Duan; Dongsheng Wang 003; Bo Chen 001; Chaojie Wang 001; Wenchao Chen; Yewen Li; Jie Ren; Mingyuan Zhou (ICML, 2021)

Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning. - Jie Ren; Yewen Li; Zihan Ding; Wei Pan 004; Hao Dong 003 (CoRR, 2021)

Crescent: A GPU-based Targeted Nanopore Sequence Selector. - Tong Li; Xueqi Li 001; Yewen Li; Ruibao Song; Xun Wang 010 (BIBM, 2022)

MetaZip: a high-throughput and efficient accelerator for DEFLATE. - Ruihao Gao; Xueqi Li 001; Yewen Li; Xun Wang 010; Guangming Tan (DAC, 2022)

Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient. - Yewen Li; Chaojie Wang 001; Zhibin Duan; Dongsheng Wang 003; Bo Chen 001; Bo An 001; Mingyuan Zhou (NeurIPS, 2022)

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE. - Yewen Li; Chaojie Wang 001; Xiaobo Xia; Tongliang Liu; Xin Miao; Bo An 001 (NeurIPS, 2022)

Pluralistic Image Completion with Gaussian Mixture Models. - Xiaobo Xia; Wenhao Yang; Jie Ren; Yewen Li; Yibing Zhan; Bo Han 003; Tongliang Liu (NeurIPS, 2022)

Pluralistic Image Completion with Probabilistic Mixture-of-Experts. - Xiaobo Xia; Wenhao Yang; Jie Ren; Yewen Li; Yibing Zhan; Bo Han 003; Tongliang Liu (CoRR, 2022)

Adaptive Graph Attention Hashing for Unsupervised Cross-Modal Retrieval via Multimodal Transformers. - Yewen Li; Mingyuan Ge; Yucheng Ji; Mingyong Li (APWeb/WAIM (3), 2023)

NvWa: Enhancing Sequence Alignment Accelerator Throughput via Hardware Scheduling. - Yewen Li; Xueqi Li 001; Ruihao Gao; Wanqi Liu; Guangming Tan (HPCA, 2023)

HumanMAC: Masked Motion Completion for Human Motion Prediction. - Ling-Hao Chen; Jiawei Zhang; Yewen Li; Yiren Pang; Xiaobo Xia; Tongliang Liu (ICCV, 2023)

Deep Enhanced-Similarity Attention Cross-modal Hashing Learning. - Mingyuan Ge; Yewen Li; Longfei Ma; Mingyong Li (ICMR, 2023)

Learning From Expert: Vision-Language Knowledge Distillation for Unsupervised Cross-Modal Hashing Retrieval. - Lina Sun; Yewen Li; Yumin Dong (ICMR, 2023)

CCAH: A CLIP-Based Cycle Alignment Hashing Method for Unsupervised Vision-Text Retrieval. - Mingyong Li; Longfei Ma; Yewen Li; Mingyuan Ge (Int. J. Intell. Syst., 2023)

CLIP-Based Adaptive Graph Attention Network for Large-Scale Unsupervised Multi-Modal Hashing Retrieval. - Yewen Li; Mingyuan Ge; Mingyong Li; Tiansong Li; Sen Xiang (Sensors, 2023)

CLIP-based fusion-modal reconstructing hashing for large-scale unsupervised cross-modal retrieval. - Mingyong Li; Yewen Li; Mingyuan Ge; Longfei Ma (Int. J. Multim. Inf. Retr., 2023)

Improving Unsupervised Hierarchical Representation With Reinforcement Learning. - Ruyi An; Yewen Li; Xu He; Pengjie Gu; Mengchen Zhao; Dong Li 016; Jianye Hao; Chaojie Wang 001; Bo An 001; Mingyuan Zhou (CVPR, 2024)

JM-CLIP: A Joint Modal Similarity Contrastive Learning Model for Video-Text Retrieval. - Mingyuan Ge; Yewen Li; Honghao Wu; Mingyong Li (ICASSP, 2024)

Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. - Yewen Li; Chaojie Wang 001; Xiaobo Xia; Xu He; Ruyi An; Dong Li 016; Tongliang Liu; Bo An 001; Xinrun Wang (CoRR, 2024)

OpticalNet: An Optical Imaging Dataset and Benchmark Beyond the Diffraction Limit. - Benquan Wang; Ruyi An; Jin-Kyu So; Sergei Kurdiumov; Eng Aik Chan; Giorgio Adamo; Yuhan Peng; Yewen Li; Bo An 001 (CVPR, 2025)

FastBWA: Practical and Cost-Efficient Genome Sequence Alignment Pipeline. - Zhonghai Zhang; Yewen Li; Ke Meng; Chunming Zhang; Guangming Tan (PPoPP, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 008; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Kun Gai; Bo An 001; Xiangyu Zhao 001 (SIGIR, 2025)

GAS: Generative Auto-bidding with Post-training Search. - Yewen Li; Shuai Mao; Jingtong Gao; Nan Jiang 023; Yunjian Xu; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Bo An 001 (WWW (Companion Volume), 2025)

FuHsi: Shifting Base-Calling Closer to Sequencer via In-Cache Acceleration. - Yewen Li; Guangming Tan; Xueqi Li 001 (J. Comput. Sci. Technol., 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 002; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Kun Gai; Bo An 001; Xiangyu Zhao 001 (CoRR, 2025)