| Qaq: Quality adaptive quantization for llm kv cache S Dong, W Cheng, J Qin, W Wang arXiv preprint arXiv:2403.04643, 2024 | 62 | 2024 |
| Prompt tuning based adapter for vision-language model adaption J Sun, J Qin, Z Lin, C Chen arXiv preprint arXiv:2303.15234, 2023 | 15 | 2023 |
| Longcat-flash technical report MLC Team, B Li, B Lei, B Wang, B Rong, C Wang, C Zhang, C Gao, ... arXiv preprint arXiv:2509.01322, 2025 | 13 | 2025 |
| Learning unnormalized statistical models via compositional optimization W Jiang, J Qin, L Wu, C Chen, T Yang, L Zhang International Conference on Machine Learning, 15105-15124, 2023 | 7 | 2023 |
| MusiXQA: Advancing visual music understanding in multimodal large language models J Chen, W Ma, P Liu, W Wang, T Song, M Li, C Wang, J Qin, R Zhang, ... arXiv preprint arXiv:2506.23009, 2025 | 3 | 2025 |
| A probability contrastive learning framework for 3D molecular representation learning J Qin, J Chen, R Sharma, J Sun, C Chen The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 3 | 2024 |
| Occluded Face Recognition with Deep Learning Q Jiayu International Conference on Computing and Data Science, 28-35, 2021 | 1 | 2021 |
| KGOT: Unified Knowledge Graph and Optimal Transport Pseudo-Labeling for Molecule-Protein Interaction Prediction J Qin, Z Luo, G Tadmor, C Chen, D Zeevi, Z Xu arXiv preprint arXiv:2512.09365, 2025 | | 2025 |
| Optimizing Unnormalized Statistical Models through Compositional Optimization W Jiang, J Qin, L Wu, C Chen, T Yang, L Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | | 2025 |
| KV-CoRE: Benchmarking Data-Dependent Low-Rank Compressibility of KV-Caches in LLMs J Chen, Z Wang, J Qin, M Li, M Wang, C Chen, Q Weng, Y Chen, Y Liu | | |
| Towards Dynamic KV-Cache Compression: Fine-Grained Evaluation of Key and Value Ranks in LLMs J Chen, Z Wang, J Qin, M Li, M Wang, C Chen, Y Chen, Q Weng, Y Liu NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks …, 0 | | |