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2020 – today
- 2024
[j11]Yishuai Li, Yunfeng Zhu, Chao Shi, Guanhua Zhang, Jianzhong Wang, Xiaolu Zhang:
Timestamp as a Service, not an Oracle. Proc. VLDB Endow. 17(5): 994-1006 (2024)- [j10]Fang Liu
, Pei Yang, Yezhi Shu, Fei Yan, Guanhua Zhang, Yong-Jin Liu:
Emotion Dictionary Learning With Modality Attentions for Mixed Emotion Exploration. IEEE Trans. Affect. Comput. 15(3): 1289-1302 (2024) - [j9]Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang:
Improving Diffusion Models for Scene Text Editing with Dual Encoders. Trans. Mach. Learn. Res. 2024 (2024) - [c18]Guanhua Zhang, Zhiming Hu, Mihai Bâce, Andreas Bulling:
Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour. CHI 2024: 621:1-621:17 - [c17]Guanhua Zhang, Moritz Hardt:
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks. ICML 2024 - [c16]Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang:
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. NAACL (Short Papers) 2024: 246-257 - [c15]Guanhua Zhang, Zhiming Hu, Andreas Bulling:
DisMouse: Disentangling Information from Mouse Movement Data. UIST 2024: 30:1-30:13 - [i18]Chuhan Jiao, Yao Wang, Guanhua Zhang, Mihai Bâce, Zhiming Hu, Andreas Bulling:
DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images. CoRR abs/2403.17477 (2024) - [i17]Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang:
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. CoRR abs/2404.12274 (2024) - [i16]Guanhua Zhang, Moritz Hardt:
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks. CoRR abs/2405.01719 (2024) - [i15]Chuhan Jiao, Guanhua Zhang, Zhiming Hu, Andreas Bulling:
DiffEyeSyn: Diffusion-based User-specific Eye Movement Synthesis. CoRR abs/2409.01240 (2024) - 2023
- [j8]Kunpeng Zhang, Yanheng Liu, Jindong Zhang, Guanhua Zhang, Jingyi Jin, Yunhao Li, Fengmin Tang:
TDCA: improved optimization algorithm with degree distribution and communication traffic for the deployment of software components based on AUTOSAR architecture. Soft Comput. 27(12): 7999-8012 (2023) - [j7]Guozhen Zhao, Yulin Zhang, Guanhua Zhang, Dan Zhang, Yong-Jin Liu:
Multi-Target Positive Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. 14(1): 370-381 (2023) - [j6]Guanhua Zhang, Minjing Yu, Yong-Jin Liu, Guozhen Zhao, Dan Zhang, Wenming Zheng:
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals. IEEE Trans. Affect. Comput. 14(1): 537-548 (2023) - [c14]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV 2023: 90-101 - [c13]Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang:
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. ICLR 2023 - [c12]Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang:
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. ICML 2023: 41164-41193 - [c11]Guanhua Zhang, Matteo Bortoletto, Zhiming Hu, Lei Shi, Mihai Bâce, Andreas Bulling:
Exploring Natural Language Processing Methods for Interactive Behaviour Modelling. INTERACT (3) 2023: 3-26 - [i14]Guanhua Zhang, Matteo Bortoletto, Zhiming Hu, Lei Shi, Mihai Bâce, Andreas Bulling:
Exploring Natural Language Processing Methods for Interactive Behaviour Modelling. CoRR abs/2303.16039 (2023) - [i13]Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang:
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. CoRR abs/2304.03322 (2023) - [i12]Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang:
Improving Diffusion Models for Scene Text Editing with Dual Encoders. CoRR abs/2304.05568 (2023) - [i11]Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang:
Certified Robustness for Large Language Models with Self-Denoising. CoRR abs/2307.07171 (2023) - [i10]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR abs/2308.10110 (2023) - 2022
- [j5]Liang Song, Xing Hu, Guanhua Zhang, Petros Spachos, Konstantinos N. Plataniotis, Hequan Wu:
Networking Systems of AI: On the Convergence of Computing and Communications. IEEE Internet Things J. 9(20): 20352-20381 (2022) - [j4]Xiaobing Du, Cuixia Ma, Guanhua Zhang, Jinyao Li, Yu-Kun Lai, Guozhen Zhao, Xiaoming Deng, Yong-Jin Liu, Hongan Wang:
An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals. IEEE Trans. Affect. Comput. 13(3): 1528-1540 (2022) - [c10]Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu:
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. ICML 2022: 26693-26712 - [c9]Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang:
Fairness Reprogramming. NeurIPS 2022 - [i9]Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang:
Fairness Reprogramming. CoRR abs/2209.10222 (2022) - [i8]Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang:
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. CoRR abs/2212.09254 (2022) - 2021
- [c8]Hanqi Wang, Xing Hu, Liang Song, Guanhua Zhang, Yang Liu, Jing Liu, Linhua Jiang:
Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly. ICONIP (1) 2021: 103-115 - [c7]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why Attentions May Not Be Interpretable? KDD 2021: 25-34 - [c6]Philipp Müller, Michael Dietz, Dominik Schiller, Dominike Thomas, Guanhua Zhang, Patrick Gebhard, Elisabeth André, Andreas Bulling:
MultiMediate: Multi-modal Group Behaviour Analysis for Artificial Mediation. ACM Multimedia 2021: 4878-4882 - [i7]Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu:
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. CoRR abs/2112.12376 (2021) - 2020
- [j3]Bao Yang, Keqin Dong, Peiyuan Guo, Peng Guo, Guo Jie, Guanhua Zhang, Tianke Li:
Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis. J. Comput. Biol. 27(1): 40-54 (2020) - [c5]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. ACL 2020: 4134-4145 - [i6]Bing Bai, Guanhua Zhang, Ye Lin, Hao Li, Kun Bai, Bo Luo:
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval. CoRR abs/2004.04816 (2020) - [i5]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. CoRR abs/2004.14088 (2020) - [i4]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why is Attention Not So Attentive? CoRR abs/2006.05656 (2020) - [i3]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. CoRR abs/2010.07676 (2020)
2010 – 2019
- 2019
- [c4]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) 2019: 4418-4429 - [i2]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR abs/1905.06221 (2019) - [i1]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability. CoRR abs/1909.04242 (2019) - 2017
- [j2]Cheng Zhang, Yiping Chen, Xinmiao Liang, Guanhua Zhang, Hong Ma, Leng Nie, Yu Wang:
Detection of Hepatitis B Virus M204I Mutation by Quantum Dot-Labeled DNA Probe. Sensors 17(5): 961 (2017) - 2016
- [j1]Chengwen Zhang, Lei Zhang, Guanhua Zhang:
QoS-Aware Mobile Service Selection Algorithm. Mob. Inf. Syst. 2016: 4968279:1-4968279:6 (2016) - [c3]Wenjie Chen, Shuaishuai Ding, Zhilei Chai, Daojing He, Weihua Zhang, Guanhua Zhang, Qiwei Peng, Wang Luo:
FPGA-Based Parallel Implementation of SURF Algorithm. ICPADS 2016: 308-315 - 2015
- [c2]Wenjie Chen, Jin Yu, Weihua Zhang, Linhua Jiang, Guanhua Zhang, Zhilei Chai:
Parallel Implementation of Dense Optical Flow Computation on Many-Core Processor. ICA3PP (1) 2015: 119-132 - 2014
- [c1]Wenjie Chen, Guanhua Zhang:
Safety management on hazardous material transportation. ICCVE 2014: 855-858
Coauthor Index
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last updated on 2024-11-04 20:45 CET by the dblp team
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