Xudong Han

According to our database, Xudong Han authored at least 51 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ETTrack: enhanced temporal motion predictor for multi-object tracking.

Xudong Han, Nobuyuki Oishi, Yueying Tian, Elif Ucurum, Rupert C. D. Young, Chris R. Chatwin, Philip Birch

Appl. Intell., January, 2025

2024

Reconstructing Soft Robotic Touch via In-Finger Vision.

Ning Guo, Xudong Han, Shuqiao Zhong, Zhiyuan Zhou, Jian Lin, Fang Wan, Chaoyang Song

Adv. Intell. Syst., October, 2024

Autoencoding a Soft Touch to Learn Grasping from On-Land to Underwater.

Ning Guo, Xudong Han, Xiaobo Liu, Shuqiao Zhong, Zhiyuan Zhou, Jian Lin, Jiansheng Dai, Fang Wan, Chaoyang Song

Adv. Intell. Syst., January, 2024

Proprioceptive State Estimation for Amphibious Tactile Sensing.

Ning Guo, Xudong Han, Shuqiao Zhong, Zhiyuan Zhou, Jian Lin, Jian S. Dai, Fang Wan, Chaoyang Song

IEEE Trans. Robotics, 2024

Proprioceptive learning with soft polyhedral networks.

Xiaobo Liu, Xudong Han, Wei Hong, Fang Wan, Chaoyang Song

Int. J. Robotics Res., 2024

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.

Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Tatsuki Kuribayashi, Cong Zeng, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin

CoRR, 2024

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring.

Honglin Mu, Han He, Yuxin Zhou, Yunlong Feng, Yang Xu, Libo Qin, Xiaoming Shi, Zeming Liu, Xudong Han, Qi Shi, Qingfu Zhu, Wanxiang Che

CoRR, 2024

ToolGen: Unified Tool Retrieval and Calling via Generation.

Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li

CoRR, 2024

Loki: An Open-Source Tool for Fact Verification.

Haonan Li, Xudong Han, Hao Wang, Yuxia Wang, Minghan Wang, Rui Xing, Yilin Geng, Zenan Zhai, Preslav Nakov, Timothy Baldwin

CoRR, 2024

On Flange-based 3D Hand-Eye Calibration for Soft Robotic Tactile Welding.

Xudong Han, Ning Guo, Yu Jie, He Wang, Fang Wan, Chaoyang Song

CoRR, 2024

Against The Achilles' Heel: A Survey on Red Teaming for Generative Models.

Lizhi Lin, Honglin Mu, Zenan Zhai, Minghan Wang, Yuxia Wang, Renxi Wang, Junjie Gao, Yixuan Zhang, Wanxiang Che, Timothy Baldwin, Xudong Han, Haonan Li

CoRR, 2024

A Chinese Dataset for Evaluating the Safeguards in Large Language Models.

Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Lizhi Lin, Zhenxuan Zhang, Jingru Zhao, Preslav Nakov, Timothy Baldwin

CoRR, 2024

Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents.

Renxi Wang, Haonan Li, Xudong Han, Yixuan Zhang, Timothy Baldwin

CoRR, 2024

Do-Not-Answer: Evaluating Safeguards in LLMs.

Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

A Chinese Dataset for Evaluating the Safeguards in Large Language Models.

Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Shom Lin, Zhenxuan Zhang, Angela Zhao, Preslav Nakov, Timothy Baldwin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Demystifying Instruction Mixing for Fine-tuning Large Language Models.

Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Assessing and Improving Fairness in Models of Human Language.

Xudong Han

PhD thesis, 2023

Understanding the Instruction Mixture for Large Language Model Fine-tuning.

Renxi Wang, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Haonan Li

CoRR, 2023

Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs.

Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin

CoRR, 2023

Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?

Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation.

Xudong Han, Timothy Baldwin, Trevor Cohn

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Vision-Based Tactile Sensing for an Omni-Adaptive Soft Finger.

Xudong Han, Sheng Liu, Fang Wan, Chaoyang Song

Proceedings of the IEEE International Conference on Development and Learning, 2023

Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP.

Xudong Han, Timothy Baldwin, Trevor Cohn

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

fairlib: A Unified Framework for Assessing and Improving Classification Fairness.

Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn

CoRR, 2022

Towards Equal Opportunity Fairness through Adversarial Learning.

Xudong Han, Timothy Baldwin, Trevor Cohn

CoRR, 2022

Optimising Equal Opportunity Fairness in Model Training.

Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Does Representational Fairness Imply Empirical Fairness?

Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Systematic Evaluation of Predictive Fairness.

Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

FairLib: A Unified Framework for Assessing and Improving Fairness.

Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Balancing out Bias: Achieving Fairness Through Balanced Training.

Xudong Han, Timothy Baldwin, Trevor Cohn

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

System Performance Analysis for Trimmable Horizontal Stabilizer Actuator Focusing on Nonlinear Effects: Based on Incremental Modelling and Parameter Identification Methodology.

Wensen Zhang, Jian Fu, Yongling Fu, Jinlin Zhou, Xudong Han

Sensors, 2021

Learning-Based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping.

Linhan Yang, Xudong Han, Weijie Guo, Fang Wan, Jia Pan, Chaoyang Song

IEEE Robotics Autom. Lett., 2021

Rigid-Soft Interactive Design of a Lobster-Inspired Finger Surface for Enhanced Grasping Underwater.

Haiyang Jiang, Xudong Han, Yonglin Jing, Ning Guo, Fang Wan, Chaoyang Song

Frontiers Robotics AI, 2021

Contrastive Learning for Fair Representations.

Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann

CoRR, 2021

Balancing out Bias: Achieving Fairness Through Training Reweighting.

Xudong Han, Timothy Baldwin, Trevor Cohn

CoRR, 2021

SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs.

Xudong Han, Qingfei Kong, Chonghui Liu, Liang Cheng, Junwei Han

Bioinform., 2021

Functional alterations caused by mutations reflect evolutionary trends of SARS-CoV-2.

Liang Cheng, Xudong Han, Zijun Zhu, Changlu Qi, Ping Wang, Xue Zhang

Briefings Bioinform., 2021

Evaluating Debiasing Techniques for Intersectional Biases.

Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Diverse Adversaries for Mitigating Bias in Training.

Xudong Han, Timothy Baldwin, Trevor Cohn

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness.

Fang Wan, Xiaobo Liu, Ning Guo, Xudong Han, Feng Tian, Chaoyang Song

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Decoupling Adversarial Training for Fair NLP.

Xudong Han, Timothy Baldwin, Trevor Cohn

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping.

Linhan Yang, Xudong Han, Weijie Guo, Zixin Zhang, Fang Wan, Jia Pan, Chaoyang Song

CoRR, 2020

psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression.

Junwei Han, Xudong Han, Qingfei Kong, Liang Cheng

Bioinform., 2020

High Mobility Channel Parameter Acquisition over Massive MIMO System.

Xudong Han, Yushan Liu, Hongyan Li, Shun Zhang, Feifei Gao

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Identification of gene signature associated with type 2 diabetes mellitus by integrating mutation and expression data.

Zijun Zhu, Xudong Han, Liang Cheng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Grounding learning of modifier dynamics: An application to color naming.

Xudong Han, Philip Schulz, Trevor Cohn

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Massive MIMO Channel Estimation via Generalized Approximate Message Passing.

Muye Li, Xudong Han, Weile Zhang, Shun Zhang

Proceedings of the Communications, Signal Processing, and Systems, 2019

Capturing the Sparsity for Massive MIMO Channel with Approximate Message Passing.

Xudong Han, Shun Zhang, Anteneh Mohammed, Weile Zhang, Nan Zhao, Yuantao Gu

Proceedings of the Communications, Signal Processing, and Systems, 2019

2018

Landslide Susceptibility Mapping Using Logistic Regression Analysis along the Jinsha River and Its Tributaries Close to Derong and Deqin County, Southwestern China.

Xiaohui Sun, Jianping Chen, Yiding Bao, Xudong Han, Jiewei Zhan, Wei Peng

ISPRS Int. J. Geo Inf., 2018

Commodity Recommendation for Users Based on E-commerce Data.

Fei Yang, Xudong Han, Jiying Lang, Weigang Lu, Lei Liu, Lei Zhang, Jingchang Pan

Proceedings of the 2nd International Conference on Big Data Research, 2018

2007

The Distance-Guided Particle Swarm Optimizer with Dynamic Mutation.

Chunhe Song, Hai Zhao, Wei Cai, Haohua Zhang, Ming Zhao, Wei Gao, Xuanjie Ning, Xudong Han, Peng Zhu, Jie Gao, Tianyu Qi, Hongyan Gong

Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007