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Hongcheng Liu
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2020 – today
- 2024
- [j18]Zhe Chen, Hongcheng Liu, Yu Wang:
DialogMCF: Multimodal Context Flow for Audio Visual Scene-Aware Dialog. IEEE ACM Trans. Audio Speech Lang. Process. 32: 753-764 (2024) - [j17]Hongcheng Liu, Xingling Shao, Jun Liu, Qingzhen Zhang, Xiuyuan Li:
Path-Following Formation Coordination for Multiple UAVs Considering Communication Constraints. IEEE Trans. Intell. Veh. 9(2): 3436-3449 (2024) - [c8]Zhe Chen, Heyang Liu, Wenyi Yu, Guangzhi Sun, Hongcheng Liu, Ji Wu, Chao Zhang, Yu Wang, Yanfeng Wang:
M³AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset. ACL (1) 2024: 9041-9060 - [c7]Yuhao Wang, Yusheng Liao, Heyang Liu, Hongcheng Liu, Yanfeng Wang, Yu Wang:
MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception. ACL (1) 2024: 9192-9205 - [c6]Hongcheng Liu, Pingjie Wang, Zhiyuan Zhu, Yanfeng Wang, Yu Wang:
CE-VDG: Counterfactual Entropy-based Bias Reduction for Video-grounded Dialogue Generation. LREC/COLING 2024: 2958-2968 - [c5]Pingjie Wang, Hongcheng Liu, Yanfeng Wang, Yu Wang:
Pruning before Fine-tuning: A Retraining-free Compression Framework for Pre-trained Language Models. LREC/COLING 2024: 13279-13289 - [c4]Hongcheng Liu, Zhe Chen, Hui Li, Pingjie Wang, Yanfeng Wang, Yu Wang:
MSG-BART: Multi-Granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-Grounded Dialogue Generation. ICASSP 2024: 10516-10520 - [c3]Hongcheng Liu, Jindong Tong:
New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming. ICML 2024 - [i13]Hongcheng Liu, Jindong Tong:
New Sample Complexity Bounds for (Regularized) Sample Average Approximation in Several Heavy-Tailed, Non-Lipschitzian, and High-Dimensional Cases. CoRR abs/2401.00664 (2024) - [i12]Yuhao Wang, Yusheng Liao, Heyang Liu, Hongcheng Liu, Yu Wang, Yanfeng Wang:
MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception. CoRR abs/2401.07529 (2024) - [i11]Hongcheng Liu, Pingjie Wang, Yu Wang, Yanfeng Wang:
M2K-VDG: Model-Adaptive Multimodal Knowledge Anchor Enhanced Video-grounded Dialogue Generation. CoRR abs/2402.11875 (2024) - [i10]Yusheng Liao, Yutong Meng, Yuhao Wang, Hongcheng Liu, Yanfeng Wang, Yu Wang:
Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator. CoRR abs/2403.08495 (2024) - [i9]Zhe Chen, Heyang Liu, Wenyi Yu, Guangzhi Sun, Hongcheng Liu, Ji Wu, Chao Zhang, Yu Wang, Yanfeng Wang:
M3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset. CoRR abs/2403.14168 (2024) - [i8]Yue Xie, Jiawen Bi, Hongcheng Liu:
Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization. CoRR abs/2406.19475 (2024) - [i7]Yu Wang, Heyang Liu, Yuhao Wang, Chuan Xuan, Yixuan Hou, Sheng Feng, Hongcheng Liu, Yusheng Liao, Yanfeng Wang:
Decoding Linguistic Representations of Human Brain. CoRR abs/2407.20622 (2024) - [i6]Hongcheng Liu, Yusheng Liao, Siqv Ou, Yuhao Wang, Heyang Liu, Yanfeng Wang, Yu Wang:
Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigm. CoRR abs/2408.08693 (2024) - 2023
- [j16]Charles Hernandez, Bijan Taslimi, Hung Yi Lee, Hongcheng Liu, Panos M. Pardalos:
Training generalizable quantized deep neural nets. Expert Syst. Appl. 213(Part): 118736 (2023) - [j15]Hung Yi Lee, Charles Hernandez, Hongcheng Liu:
Regularized sample average approximation for high-dimensional stochastic optimization under low-rankness. J. Glob. Optim. 85(2): 257-282 (2023) - [i5]Yusheng Liao, Yutong Meng, Hongcheng Liu, Yanfeng Wang, Yu Wang:
An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models. CoRR abs/2309.02077 (2023) - [i4]Hongcheng Liu, Zhe Chen, Hui Li, Pingjie Wang, Yanfeng Wang, Yu Wang:
MSG-BART: Multi-granularity Scene Graph-Enhanced Encoder-Decoder Language Model for Video-grounded Dialogue Generation. CoRR abs/2311.12820 (2023) - 2022
- [j14]Bijan Taslimi, Farnaz Babaie Sarijaloo, Hongcheng Liu, Panos M. Pardalos:
A novel mixed integer programming model for freight train travel time estimation. Eur. J. Oper. Res. 300(2): 676-688 (2022) - [j13]Hongcheng Liu, Yinyu Ye, Hung Yi Lee:
High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks. Oper. Res. 70(6): 3176-3197 (2022) - [j12]Huazhong Ren, Xin Ye, Jing Nie, Jinjie Meng, Wenjie Fan, Qiming Qin, Yanzhen Liang, Hongcheng Liu:
Retrieval of Land Surface Temperature, Emissivity, and Atmospheric Parameters From Hyperspectral Thermal Infrared Image Using a Feature-Band Linear-Format Hybrid Algorithm. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2021
- [j11]Xin Huang, Xiaodong Zhang, Yiwei Xiong, Hongcheng Liu, Yingjie Zhang:
A Novel Intelligent Fault Diagnosis Approach for Early Cracks of Turbine Blades via Improved Deep Belief Network Using Three-Dimensional Blade Tip Clearance. IEEE Access 9: 13039-13051 (2021) - [j10]Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang:
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. SIAM J. Imaging Sci. 14(4): 1532-1564 (2021) - [j9]Shanshan Chen, Huazhong Ren, Rongyuan Liu, Yunzhu Tao, Yitong Zheng, Hongcheng Liu:
Mapping Sandy Land Using the New Sand Differential Emissivity Index From Thermal Infrared Emissivity Data. IEEE Trans. Geosci. Remote. Sens. 59(7): 5464-5478 (2021) - [c2]Ke Zhu, Xiaodong Zhang, Hongcheng Liu, Yiwei Xiong, Yingjie Zhang, Chen He:
An Approach for sEMG-based Gesture Recognition Using Continuous Wavelet Transform and AlexNet Convolutional Neural Network. ROBIO 2021: 762-767 - 2020
- [i3]Qingchao Zhang, Xiaojing Ye, Hongcheng Liu, Yunmei Chen:
A Novel Learnable Gradient Descent Type Algorithm for Non-convex Non-smooth Inverse Problems. CoRR abs/2003.06748 (2020) - [i2]Yunmei Chen, Hongcheng Liu, Xiaojing Ye, Qingchao Zhang:
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction. CoRR abs/2007.11245 (2020)
2010 – 2019
- 2019
- [j8]Hongcheng Liu, Xue Wang, Tao Yao, Runze Li, Yinyu Ye:
Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming. Math. Program. 178(1-2): 69-108 (2019) - [j7]Gabriel Haeser, Hongcheng Liu, Yinyu Ye:
Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary. Math. Program. 178(1-2): 263-299 (2019) - 2017
- [j6]Hongcheng Liu, Tao Yao, Runze Li, Yinyu Ye:
Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions. Math. Program. 166(1-2): 207-240 (2017) - [j5]Hongcheng Liu, Hang Lei, Yunbo Rao:
Optimization algorithm based on texture feature and frame correlation in HEVC. Multim. Tools Appl. 76(2): 1959-1981 (2017) - [j4]Hongcheng Liu, Qu Zhou, Qingyan Zhang, Changxiang Hong, Lingna Xu, Lingfeng Jin, Weigen Chen:
Synthesis, Characterization and Enhanced Sensing Properties of a NiO/ZnO p-n Junctions Sensor for the SF6 Decomposition Byproducts SO2, SO2F2, and SOF2. Sensors 17(4): 913 (2017) - [i1]Gabriel Haeser, Hongcheng Liu, Yinyu Ye:
Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary. CoRR abs/1702.04300 (2017) - 2015
- [c1]Hongcheng Liu, Hang Lei, Yunbo Rao, Ping Chen, Jun Shao:
A New Optimization Algorithm for HEVC. ICIG (1) 2015: 218-228 - 2013
- [j3]Tao Yao, Bin Jiang, Hongcheng Liu:
Impact of Economic and Technical Uncertainties on Dynamic New Product Development. IEEE Trans. Engineering Management 60(1): 157-168 (2013) - 2011
- [j2]Hongcheng Liu, Liang Gao, Quan-Ke Pan:
A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem. Expert Syst. Appl. 38(4): 4348-4360 (2011) - [j1]Yang Shi, Hongcheng Liu, Liang Gao, Guohui Zhang:
Cellular particle swarm optimization. Inf. Sci. 181(20): 4460-4493 (2011)
Coauthor Index
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