| 2026 | ACL | Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion. | Mengxue Yang, Jinming Li, Chun Yang, Jiaqi Zhu, Jiafan Li, Guanhua Zhang, Ying Li |
| 2025 | CHI | SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation. | Guanhua Zhang, Mohamed Adel Naguib Ahmed, Zhiming Hu, Andreas Bulling |
| 2024 | CHI | Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour. | Guanhua Zhang, Zhiming Hu, Mihai Bce, Andreas Bulling |
| 2024 | ICML | Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks. | Guanhua Zhang, Moritz Hardt |
| 2024 | NAACL | Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. | Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang |
| 2024 | UIST | DisMouse: Disentangling Information from Mouse Movement Data. | Guanhua Zhang, Zhiming Hu, Andreas Bulling |
| 2023 | ICCV | Robust Mixture-of-Expert Training for Convolutional Neural Networks. | Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu |
| 2023 | ICLR | TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. | Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang |
| 2023 | ICML | Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. | Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang |
| 2023 | Interact | Exploring Natural Language Processing Methods for Interactive Behaviour Modelling. | Guanhua Zhang, Matteo Bortoletto, Zhiming Hu, Lei Shi, Mihai Bce, Andreas Bulling |
| 2022 | ICML | Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. | Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu |
| 2021 | ICONIP | Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly. | Hanqi Wang, Xing Hu, Liang Song, Guanhua Zhang, Yang Liu, Jing Liu, Linhua Jiang |
| 2021 | KDD | Why Attentions May Not Be Interpretable? | Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang |
| 2020 | ACL | 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 |
| 2019 | ACL | Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. | Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao |
| 2016 | ICPADS | FPGA-Based Parallel Implementation of SURF Algorithm. | Wenjie Chen, Shuaishuai Ding, Zhilei Chai, Daojing He, Weihua Zhang, Guanhua Zhang, Qiwei Peng, Wang Luo |
| 2015 | ICA3PP | Parallel Implementation of Dense Optical Flow Computation on Many-Core Processor. | Wenjie Chen, Jin Yu, Weihua Zhang, Linhua Jiang, Guanhua Zhang, Zhilei Chai |