Cheng Deng

According to our database, Cheng Deng authored at least 30 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

π-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs.

Siting Wang, Xiaofeng Wang, Zheng Zhu, Minnan Pei, Xinyu Cui, Cheng Deng, Jian Zhao, Guan Huang, Haifeng Zhang, Jun Wang

CoRR, March, 2026

Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs.

Luoyang Sun, Jiwen Jiang, Yifeng Ding, Fengfa Li, Yan Song, Haifeng Zhang, Jian Ying, Lei Ren, Kun Zhan, Wei Chen, Yan Xie, Cheng Deng

CoRR, February, 2026

Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search.

Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin

Proceedings of the ACM Web Conference 2026, 2026

Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression.

Luoyang Sun, Guangyan Li, Cheng Deng, Haifeng Zhang, Jian Zhao, Yongqiang Tang, Wensheng Zhang, Jun Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

VisPCO: Visual Token Pruning Configuration Optimization via Budget-Aware Pareto-Frontier Learning for Vision-Language Models.

Huawei Ji, Yuanhao Sun, Yuan Jin, Cheng Deng, Jiaxin Ding, Luoyi Fu, Xinbing Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn Dialogues.

Haoyang Li, Zhanchao Xu, Yiming Li, Xuejia Chen, Darian Li, Anxin Tian, Qingfa Xiao, Cheng Deng, Jun Wang, Qing Li, Lei Chen, Mingxuan Yuan

CoRR, July, 2025

SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs.

Siting Wang, Luoyang Sun, Cheng Deng, Kun Shao, Minnan Pei, Zheng Tian, Haifeng Zhang, Jun Wang

CoRR, July, 2025

GTA: Grouped-head latenT Attention.

Luoyang Sun, Jiwen Jiang, Cheng Deng, Xinjian Wu, Haifeng Zhang, Lei Chen, Lionel M. Ni, Jun Wang

CoRR, June, 2025

MF-LLM: Simulating Collective Decision Dynamics via a Mean-Field Large Language Model Framework.

Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang

CoRR, April, 2025

PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing.

Cheng Deng, Luoyang Sun, Jiwen Jiang, Yongcheng Zeng, Xinjian Wu, Wenxin Zhao, Qingfa Xiao, Jiachuan Wang, Haoyang Li, Lei Chen, Lionel M. Ni, Haifeng Zhang, Jun Wang

CoRR, March, 2025

Activation-aware Probe-Query: Effective Key-Value Retrieval for Long-Context LLMs Inference.

Qingfa Xiao, Jiachuan Wang, Haoyang Li, Cheng Deng, Jiaqi Tang, Shuangyin Li, Yongqi Zhang, Jun Wang, Lei Chen

CoRR, February, 2025

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework.

Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens.

Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing.

Huawei Ji, Cheng Deng, Bo Xue, Zhouyang Jin, Jiaxin Ding, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

EvolveKG: a general framework to learn evolving knowledge graphs.

Jiaqi Liu, Zhiwen Yu, Bin Guo, Cheng Deng, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Frontiers Comput. Sci., June, 2024

RWE: A Random Walk Based Graph Entropy for the Structural Complexity of Directed Networks.

Chong Zhang, Cheng Deng, Luoyi Fu, Xinbing Wang, Guihai Chen, Lei Zhou, Chenghu Zhou

IEEE Trans. Netw. Sci. Eng., 2024

Good Idea or Not, Representation of LLM Could Tell.

Yi Xu, Bo Xue, Shuqian Sheng, Cheng Deng, Jiaxin Ding, Zanwei Shen, Luoyi Fu, Xinbing Wang, Chenghu Zhou

CoRR, 2024

NovelQA: A Benchmark for Long-Range Novel Question Answering.

Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang

CoRR, 2024

AceMap: Knowledge Discovery through Academic Graph.

Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou

CoRR, 2024

Entropy-Regularized Token-Level Policy Optimization for Large Language Models.

Muning Wen, Cheng Deng, Jun Wang, Weinan Zhang, Ying Wen

CoRR, 2024

GeoGalactica: A Scientific Large Language Model in Geoscience.

Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Tao Shi, Tianyu Huang, Yiwei Xu, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou

CoRR, 2024

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.

Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning.

Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.

Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Le Zhou, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He

CoRR, 2023

Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph.

Cheng Deng, Jiaxin Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou

CoRR, 2023

FMGNN: Fused Manifold Graph Neural Network.

Cheng Deng, Fan Xu, Jiaxing Ding, Luoyi Fu, Weinan Zhang, Xinbing Wang

CoRR, 2023

PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model.

Cheng Deng, Bo Tong, Luoyi Fu, Jiaxin Ding, Dexing Cao, Xinbing Wang, Chenghu Zhou

CoRR, 2023

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.

Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Evolving Bipartite Model Reveals the Bounded Weights in Mobile Social Networks.

Jiaqi Liu, Cheng Deng, Luoyi Fu, Huan Long, Xiaoying Gan, Xinbing Wang, Guihai Chen, Jun Xu

IEEE Trans. Mob. Comput., 2022

2021

GAKG: A Multimodal Geoscience Academic Knowledge Graph.

Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021