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2020 – today
- 2026
[j4]Xueshan Deng, Penghang Yu
, Shengsheng Qian, Baoyuan Qi, Changsheng Xu:
Denoising-Enhanced Multimodal Detection Network for Fake News Video Detection. IEEE Trans. Circuits Syst. Video Technol. 36(7): 9631-9645 (2026)- [j3]Shangheng Chen, Shengsheng Qian, Jun Hu, Quan Fang, Baoyuan Qi, Changsheng Xu:
Social-Aware Multimodal Graph Learning for Micro-Video Popularity Prediction. IEEE Trans. Multim. 28: 6808-6822 (2026) - [j2]Zuyi Zhou, Dizhan Xue, Baoyuan Qi, Shengsheng Qian, Changsheng Xu:
Code-Driven LLM Agent for One-Shot Explanatory Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 22(3): 84:1-84:16 (2026) - [c16]Jiliang Hu, Zuchao Li, Baoyuan Qi, Guoming Liu, Ping Wang:
End-to-End Contrastive Language-Speech Pretraining Model for Long-Form Spoken Question Answering. AAAI 2026: 31041-31049 - [c15]Luohe Shi, Zuchao Li, Lefei Zhang, Baoyuan Qi, Guoming Liu, Hai Zhao:
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios. AAAI 2026: 32947-32955 - 2025
- [c14]Luohe Shi, Zuchao Li, Lefei Zhang, Baoyuan Qi, Guoming Liu, Hai Zhao:
KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding. ACL (1) 2025: 1535-1550 - [c13]Yi Zhao, Zuchao Li, Hai Zhao, Baoyuan Qi, Guoming Liu:
DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression. ACL (1) 2025: 19395-19407 - [c12]Zicong Tang, Luohe Shi, Zuchao Li, Baoyuan Qi, Guoming Liu, Lefei Zhang, Ping Wang:
SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers. ACL (1) 2025: 28428-28442 - [c11]Haoqi Yang, Yao Yao, Zuchao Li, Baoyuan Qi, Guoming Liu, Hai Zhao:
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression. EMNLP 2025: 9785-9800 - [c10]Jinglin Chen, Qiwei Li, Zuchao Li, Baoyuan Qi, Guoming Liu, Haojun Ai, Hai Zhao, Ping Wang:
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding. EMNLP 2025: 18040-18051 - [c9]Zuchao Li, Yonghua Hei, Qiwei Li, Lefei Zhang, Ping Wang, Hai Zhao, Baoyuan Qi, Guoming Liu:
What Limits Bidirectional Model's Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning. ICML 2025 - [c8]Anqi Liu, Baoyuan Qi, Xuedan Hu:
BladeLoRA: An Enhanced LoRA Method with Adaptive Rank Selection and Pruning for Efficient Fine-Tuning. KEIR 2025: 105-119 - [i6]Zicong Tang, Luohe Shi, Zuchao Li, Baoyuan Qi, Guoming Liu, Lefei Zhang, Ping Wang:
SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers. CoRR abs/2507.06517 (2025) - [i5]Luohe Shi, Zuchao Li, Lefei Zhang, Guoming Liu, Baoyuan Qi, Hai Zhao:
KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding. CoRR abs/2507.11273 (2025) - [i4]Yi Zhao, Zuchao Li, Hai Zhao, Baoyuan Qi, Guoming Liu:
DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression. CoRR abs/2507.11942 (2025) - [i3]Haoqi Yang, Yao Yao, Zuchao Li, Baoyuan Qi, Guoming Liu, Hai Zhao:
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression. CoRR abs/2510.11236 (2025) - [i2]Jiliang Hu, Zuchao Li, Baoyuan Qi, Guoming Liu, Ping Wang:
End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering. CoRR abs/2511.09282 (2025) - [i1]Luohe Shi, Zuchao Li, Lefei Zhang, Baoyuan Qi, Guoming Liu, Hai Zhao:
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios. CoRR abs/2511.20340 (2025)
2010 – 2019
- 2018
- [c7]Qi Liu, Dong Wang, Meilin Zhou, Peng Li, Baoyuan Qi, Bin Wang:
Chinese Governmental Named Entity Recognition. AIRS 2018: 16-28 - 2017
- [c6]Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang:
Attentive Path Combination for Knowledge Graph Completion. ACML 2017: 590-605 - 2015
- [c5]Gang Ma, Xi Yang, Bo Zhang, Baoyuan Qi, Zhongzhi Shi:
An Environment Visual Awareness Approach in Cognitive Model ABGP. ICTAI 2015: 744-751 - 2014
- [j1]Zhongzhi Shi, Jianhua Zhang, Xi Yang, Gang Ma, Baoyuan Qi, Jinpeng Yue:
Computational Cognitive Models for Brain-Machine Collaborations. IEEE Intell. Syst. 29(6): 24-31 (2014) - [c4]Baoyuan Qi, Gang Ma, Zhongzhi Shi, Wei Wang:
Collecting Valuable Information from Fast Text Streams. IIP 2014: 96-105 - [c3]Baoyuan Qi, Gang Ma, Zhongzhi Shi, Wei Wang:
Efficiently Finding Top-K Items from Evolving Distributed Data Streams. SKG 2014: 137-140 - 2013
- [c2]Zhongzhi Shi, Jianhua Zhang, Jinpeng Yue, Baoyuan Qi:
A Motivational System for Mind Model CAM. AAAI Fall Symposia 2013 - [c1]Jianhua Zhang, Wenjie Wang, Zhongzhi Shi, Jinpeng Yue, Baoyuan Qi, Dongping Tian:
Bridge Rule Based D3 L Reasoning. SKG 2013: 178-181
Coauthor Index
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