Safety management on hazardous material transportation. - Wenjie Chen; Guanhua Zhang (ICCVE, 2014)

Parallel Implementation of Dense Optical Flow Computation on Many-Core Processor. - Wenjie Chen; Jin Yu; Weihua Zhang; Linhua Jiang; Guanhua Zhang; Zhilei Chai (ICA3PP (1), 2015)

FPGA-Based Parallel Implementation of SURF Algorithm. - Wenjie Chen; Shuaishuai Ding; Zhilei Chai; Daojing He; Weihua Zhang; Guanhua Zhang; Qiwei Peng 001; Wang Luo (ICPADS, 2016)

QoS-Aware Mobile Service Selection Algorithm. - Chengwen Zhang; Lei Zhang 049; Guanhua Zhang (Mob. Inf. Syst., 2016)

Detection of Hepatitis B Virus M204I Mutation by Quantum Dot-Labeled DNA Probe. - Cheng Zhang; Yiping Chen; Xinmiao Liang; Guanhua Zhang; Hong Ma 002; Leng Nie; Yu Wang 047 (Sensors, 2017)

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. - Guanhua Zhang; Bing Bai; Jian Liang 002; Kun Bai; Shiyu Chang; Mo Yu; Conghui Zhu; Tiejun Zhao (ACL (1), 2019)

Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability. - Guanhua Zhang; Bing Bai; Junqi Zhang; Kun Bai; Conghui Zhu; Tiejun Zhao (CoRR, 2019)

Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. - Guanhua Zhang; Bing Bai; Junqi Zhang; Kun Bai; Conghui Zhu; Tiejun Zhao (ACL, 2020)

CSRN: Collaborative Sequential Recommendation Networks for News Retrieval. - Bing Bai; Guanhua Zhang; Ye Lin; Hao Li; Kun Bai; Bo Luo (CoRR, 2020)

Why is Attention Not So Attentive? - Bing Bai; Jian Liang 001; Guanhua Zhang; Hao Li; Kun Bai; Fei Wang 001 (CoRR, 2020)

Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. - Guanhua Zhang; Bing Bai; Jian Liang 002; Kun Bai; Conghui Zhu; Tiejun Zhao (CoRR, 2020)

Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis. - Bao Yang; Keqin Dong; Peiyuan Guo; Peng Guo; Guo Jie; Guanhua Zhang; Tianke Li (J. Comput. Biol., 2020)

Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly. - Hanqi Wang; Xing Hu 006; Liang Song; Guanhua Zhang; Yang Liu 246; Jing Liu 050; Linhua Jiang (ICONIP (1), 2021)

Why Attentions May Not Be Interpretable? - Bing Bai; Jian Liang 001; Guanhua Zhang; Hao Li; Kun Bai; Fei Wang 001 (KDD, 2021)

MultiMediate: Multi-modal Group Behaviour Analysis for Artificial Mediation. - Philipp Müller 001; Michael Dietz; Dominik Schiller; Dominike Thomas; Guanhua Zhang; Patrick Gebhard; Elisabeth André; Andreas Bulling (ACM Multimedia, 2021)

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. - Yihua Zhang; Guanhua Zhang; Prashant Khanduri; Mingyi Hong 001; Shiyu Chang; Sijia Liu 001 (ICML, 2022)

Fairness Reprogramming. - Guanhua Zhang; Yihua Zhang; Yang Zhang 001; Wenqi Fan; Qing Li 001; Sijia Liu 001; Shiyu Chang (NeurIPS, 2022)

Networking Systems of AI: On the Convergence of Computing and Communications. - Liang Song; Xing Hu 006; Guanhua Zhang; Petros Spachos; Konstantinos N. Plataniotis; Hequan Wu (IEEE Internet Things J., 2022)

An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals. - Xiaobing Du; Cuixia Ma; Guanhua Zhang; Jinyao Li; Yu-Kun Lai; Guozhen Zhao; Xiaoming Deng 001; Yong-Jin Liu 001; Hongan Wang (IEEE Trans. Affect. Comput., 2022)

Robust Mixture-of-Expert Training for Convolutional Neural Networks. - Yihua Zhang; Ruisi Cai; Tianlong Chen 001; Guanhua Zhang; Huan Zhang 001; Pin-Yu Chen; Shiyu Chang; Zhangyang Wang; Sijia Liu 001 (ICCV, 2023)

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. - Bairu Hou; Jinghan Jia; Yihua Zhang; Guanhua Zhang; Yang Zhang 001; Sijia Liu 001; Shiyu Chang (ICLR, 2023)

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. - Guanhua Zhang; Jiabao Ji; Yang Zhang 001; Mo Yu; Tommi S. Jaakkola; Shiyu Chang (ICML, 2023)

Exploring Natural Language Processing Methods for Interactive Behaviour Modelling. - Guanhua Zhang; Matteo Bortoletto; Zhiming Hu; Lei Shi 032; Mihai Bâce; Andreas Bulling (INTERACT (3), 2023)

Certified Robustness for Large Language Models with Self-Denoising. - Zhen Zhang; Guanhua Zhang; Bairu Hou; Wenqi Fan; Qing Li 001; Sijia Liu 001; Yang Zhang 001; Shiyu Chang (CoRR, 2023)

SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals. - Guanhua Zhang; Minjing Yu; Yong-Jin Liu 001; Guozhen Zhao; Dan Zhang 014; Wenming Zheng (IEEE Trans. Affect. Comput., 2023)

Multi-Target Positive Emotion Recognition From EEG Signals. - Guozhen Zhao; Yulin Zhang; Guanhua Zhang; Dan Zhang 014; Yong-Jin Liu 001 (IEEE Trans. Affect. Comput., 2023)

TDCA: improved optimization algorithm with degree distribution and communication traffic for the deployment of software components based on AUTOSAR architecture. - Kunpeng Zhang; Yanheng Liu 001; Jindong Zhang; Guanhua Zhang; Jingyi Jin; Yunhao Li; Fengmin Tang (Soft Comput., 2023)

Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour. - Guanhua Zhang; Zhiming Hu; Mihai Bâce; Andreas Bulling (CHI, 2024)

Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks. - Guanhua Zhang; Moritz Hardt (ICML, 2024)

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. - Jiabao Ji; Bairu Hou; Zhen Zhang; Guanhua Zhang; Wenqi Fan; Qing Li 001; Yang Zhang 001; Gaowen Liu; Sijia Liu 001; Shiyu Chang (NAACL (Short Papers), 2024)

DisMouse: Disentangling Information from Mouse Movement Data. - Guanhua Zhang; Zhiming Hu; Andreas Bulling (UIST, 2024)

DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360° Images. - Chuhan Jiao; Yao Wang 018; Guanhua Zhang; Mihai Bâce; Zhiming Hu; Andreas Bulling (CoRR, 2024)

DiffEyeSyn: Diffusion-based User-specific Eye Movement Synthesis. - Chuhan Jiao; Guanhua Zhang; Zhiming Hu; Andreas Bulling (CoRR, 2024)

HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality. - Zhiming Hu; Guanhua Zhang; Zheming Yin; Daniel F. B. Haeufle; Syn Schmitt; Andreas Bulling (CoRR, 2024)

Emotion Dictionary Learning With Modality Attentions for Mixed Emotion Exploration. - Fang Liu; Pei Yang; Yezhi Shu; Fei Yan 002; Guanhua Zhang; Yong-Jin Liu 001 (IEEE Trans. Affect. Comput., 2024)

Improving Diffusion Models for Scene Text Editing with Dual Encoders. - Jiabao Ji; Guanhua Zhang; Zhaowen Wang; Bairu Hou; Zhifei Zhang; Brian L. Price; Shiyu Chang (Trans. Mach. Learn. Res., 2024)

Timestamp as a Service, not an Oracle. - Yishuai Li; Yunfeng Zhu; Chao Shi; Guanhua Zhang; Jianzhong Wang; Xiaolu Zhang (Proc. VLDB Endow., 2024)

SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation. - Guanhua Zhang; Mohamed Adel Naguib Ahmed; Zhiming Hu; Andreas Bulling (CHI, 2025)

G2LNet: Global to local information communication for camouflaged object detection. - Na Wang; Guanhua Zhang; Wendong Wang; Yuzhen Wang; Fei Xiao; Shengke Wang (Expert Syst. Appl., 2025)

MMSG-DTA: A Multimodal, Multiscale Model Based on Sequence and Graph Modalities for Drug-Target Affinity Prediction. - Jiahao Xu; Lei Ci; Bo Zhu; Guanhua Zhang; Linhua Jiang; Shixin Ye-Lehmann; Wei Long (J. Chem. Inf. Model., 2025)

Electromagnetic Interference Rejection Strategy for 50-mT Portable Unshielded Whole-Body Magnetic Resonance Imaging With a Convolutional Neural Network Incorporating Attention Mechanism. - Rongsheng Lu; Zhengxiu Wu; Guanhua Zhang; Xiaokai Hu; Yitao Liu; Xiaowen Jiang 002; Zhonghua Ni; Hong Yi (IEEE Trans. Instrum. Meas., 2025)

How Benchmark Prediction from Fewer Data Misses the Mark. - Guanhua Zhang; Florian E. Dorner; Moritz Hardt (CoRR, 2025)

Train-before-Test Harmonizes Language Model Rankings. - Guanhua Zhang; Ricardo Dominguez-Olmedo; Moritz Hardt (CoRR, 2025)