The Distance-Guided Particle Swarm Optimizer with Dynamic Mutation. - Chunhe Song; Hai Zhao 002; Wei Cai; Haohua Zhang; Ming Zhao; Wei Gao; Xuanjie Ning; Xudong Han; Peng Zhu; Jie Gao; Tianyu Qi; Hongyan Gong (IIH-MSP, 2007)

Commodity Recommendation for Users Based on E-commerce Data. - Fei Yang 003; Xudong Han; Jiying Lang; Weigang Lu; Lei Liu; Lei Zhang 036; Jingchang Pan (ICBDR, 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)

Capturing the Sparsity for Massive MIMO Channel with Approximate Message Passing. - Xudong Han; Shun Zhang 003; Anteneh Mohammed; Weile Zhang; Nan Zhao 001; Yuantao Gu (CSPS, 2019)

Massive MIMO Channel Estimation via Generalized Approximate Message Passing. - Muye Li; Xudong Han; Weile Zhang; Shun Zhang 003 (CSPS, 2019)

Grounding learning of modifier dynamics: An application to color naming. - Xudong Han; Philip Schulz; Trevor Cohn (EMNLP/IJCNLP (1), 2019)

Identification of gene signature associated with type 2 diabetes mellitus by integrating mutation and expression data. - Zijun Zhu; Xudong Han; Liang Cheng 006 (BIBM, 2020)

High Mobility Channel Parameter Acquisition over Massive MIMO System. - Xudong Han; Yushan Liu 003; Hongyan Li 001; Shun Zhang 003; Feifei Gao (ICC, 2020)

psSubpathway: a software package for flexible identification of phenotype-specific subpathways in cancer progression. - Junwei Han 003; Xudong Han; Qingfei Kong; Liang Cheng 006 (Bioinform., 2020)

Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping. - Linhan Yang; Xudong Han; Weijie Guo 003; Zixin Zhang; Fang Wan 002; Jia Pan 001; Chaoyang Song 001 (CoRR, 2020)

Decoupling Adversarial Training for Fair NLP. - Xudong Han; Timothy Baldwin; Trevor Cohn (ACL/IJCNLP (Findings), 2021)

Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness. - Fang Wan 002; Xiaobo Liu; Ning Guo; Xudong Han; Feng Tian; Chaoyang Song 001 (CoRL, 2021)

Diverse Adversaries for Mitigating Bias in Training. - Xudong Han; Timothy Baldwin; Trevor Cohn (EACL, 2021)

Evaluating Debiasing Techniques for Intersectional Biases. - Shivashankar Subramanian; Xudong Han; Timothy Baldwin; Trevor Cohn; Lea Frermann (EMNLP (1), 2021)

Functional alterations caused by mutations reflect evolutionary trends of SARS-CoV-2. - Liang Cheng 006; Xudong Han; Zijun Zhu; Changlu Qi; Ping Wang 033; Xue Zhang (Briefings Bioinform., 2021)

SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs. - Xudong Han; Qingfei Kong; Chonghui Liu; Liang Cheng 006; Junwei Han 003 (Bioinform., 2021)

Balancing out Bias: Achieving Fairness Through Training Reweighting. - Xudong Han; Timothy Baldwin; Trevor Cohn (CoRR, 2021)

Contrastive Learning for Fair Representations. - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (CoRR, 2021)

Rigid-Soft Interactive Design of a Lobster-Inspired Finger Surface for Enhanced Grasping Underwater. - Haiyang Jiang 004; Xudong Han; Yonglin Jing; Ning Guo; Fang Wan 002; Chaoyang Song 001 (Frontiers Robotics AI, 2021)

Learning-Based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping. - Linhan Yang; Xudong Han; Weijie Guo 003; Fang Wan 002; Jia Pan 001; Chaoyang Song 001 (IEEE Robotics Autom. Lett., 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)

Balancing out Bias: Achieving Fairness Through Balanced Training. - Xudong Han; Timothy Baldwin; Trevor Cohn (EMNLP, 2022)

FairLib: A Unified Framework for Assessing and Improving Fairness. - Xudong Han; Aili Shen; Yitong Li 002; Lea Frermann; Timothy Baldwin; Trevor Cohn (EMNLP (Demos), 2022)

Systematic Evaluation of Predictive Fairness. - Xudong Han; Aili Shen; Trevor Cohn; Timothy Baldwin; Lea Frermann (AACL/IJCNLP (1), 2022)

Does Representational Fairness Imply Empirical Fairness? - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (AACL/IJCNLP (Findings), 2022)

Optimising Equal Opportunity Fairness in Model Training. - Aili Shen; Xudong Han; Trevor Cohn; Timothy Baldwin; Lea Frermann (NAACL-HLT, 2022)

Towards Equal Opportunity Fairness through Adversarial Learning. - Xudong Han; Timothy Baldwin; Trevor Cohn (CoRR, 2022)

fairlib: A Unified Framework for Assessing and Improving Classification Fairness. - Xudong Han; Aili Shen; Yitong Li 002; Lea Frermann; Timothy Baldwin; Trevor Cohn (CoRR, 2022)

Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. - Xudong Han; Timothy Baldwin; Trevor Cohn (EACL, 2023)

Vision-Based Tactile Sensing for an Omni-Adaptive Soft Finger. - Xudong Han; Sheng Liu; Fang Wan 002; Chaoyang Song 001 (ICDL, 2023)

Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation. - Xudong Han; Timothy Baldwin; Trevor Cohn (ICLR, 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 (IJCNLP (1), 2023)

Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs. - Yuxia Wang; Haonan Li 002; Xudong Han; Preslav Nakov; Timothy Baldwin (CoRR, 2023)

Understanding the Instruction Mixture for Large Language Model Fine-tuning. - Renxi Wang; Minghao Wu; Yuxia Wang; Xudong Han; Chiyu Zhang; Haonan Li 002 (CoRR, 2023)

Assessing and Improving Fairness in Models of Human Language. - Xudong Han (2023)

Demystifying Instruction Mixing for Fine-tuning Large Language Models. - Renxi Wang; Haonan Li 002; Minghao Wu; Yuxia Wang; Xudong Han; Chiyu Zhang; Timothy Baldwin (ACL (Student Research Workshop), 2024)

A Chinese Dataset for Evaluating the Safeguards in Large Language Models. - Yuxia Wang; Zenan Zhai; Haonan Li 002; Xudong Han; Shom Lin; Zhenxuan Zhang; Angela Zhao; Preslav Nakov; Timothy Baldwin (ACL (Findings), 2024)

Do-Not-Answer: Evaluating Safeguards in LLMs. - Yuxia Wang; Haonan Li 002; Xudong Han; Preslav Nakov; Timothy Baldwin (EACL (Findings), 2024)

TransGCN: a semi-supervised graph convolution network-based framework to infer protein translocations in spatio-temporal proteomics. - Bing Wang; Xiangzheng Zhang; Xudong Han; Bingjie Hao; Yan Li 071; Xuejiang Guo (Briefings Bioinform., 2024)

Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents. - Renxi Wang; Haonan Li 002; Xudong Han; Yixuan Zhang; Timothy Baldwin (CoRR, 2024)

A Chinese Dataset for Evaluating the Safeguards in Large Language Models. - Yuxia Wang; Zenan Zhai; Haonan Li 002; Xudong Han; Lizhi Lin; Zhenxuan Zhang; Jingru Zhao; 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 002; Chaoyang Song 001 (CoRR, 2024)

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. - Haonan Li 002; Xudong Han; Zenan Zhai; Honglin Mu; Hao Wang; Zhenxuan Zhang; Yilin Geng; Shom Lin; Renxi Wang; Artem Shelmanov; Xiangyu Qi; Yuxia Wang; et al. (CoRR, 2024)

Proprioceptive learning with soft polyhedral networks. - Xiaobo Liu; Xudong Han; Wei Hong; Fang Wan 002; Chaoyang Song 001 (Int. J. Robotics Res., 2024)

Proprioceptive State Estimation for Amphibious Tactile Sensing. - Ning Guo; Xudong Han; Shuqiao Zhong; Zhiyuan Zhou; Jian Lin; Jian S. Dai 001; Fang Wan 002; Chaoyang Song 001 (IEEE Trans. Robotics, 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 001; Fang Wan 002; Chaoyang Song 001 (Adv. Intell. Syst., 2024)

Reconstructing Soft Robotic Touch via In-Finger Vision. - Ning Guo; Xudong Han; Shuqiao Zhong; Zhiyuan Zhou; Jian Lin; Fang Wan 002; Chaoyang Song 001 (Adv. Intell. Syst., 2024)

Loki: An Open-Source Tool for Fact Verification. - Haonan Li 002; Xudong Han; Hao Wang; Yuxia Wang; Minghan Wang; Rui Xing; Yilin Geng; Zenan Zhai; Preslav Nakov; Timothy Baldwin (COLING (Demonstrations), 2025)

ToolGen: Unified Tool Retrieval and Calling via Generation. - Renxi Wang; Xudong Han; Lei Ji 001; Shu Wang 002; Timothy Baldwin; Haonan Li 002 (ICLR, 2025)

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring. - Honglin Mu; Han He; Yuxin Zhou; Yunlong Feng; Yang Xu 049; Libo Qin 001; Xiaoming Shi; Zeming Liu; Xudong Han; Qi Shi 002; Qingfu Zhu; Wanxiang Che (NAACL (Long Papers), 2025)

NAT: Enhancing Agent Tuning with Negative Samples. - Renxi Wang; Xudong Han; Yixuan Zhang; Timothy Baldwin; Haonan Li 002 (NAACL (Long Papers), 2025)

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 002 (J. Artif. Intell. Res., 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., 2025)

Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models. - Yueying Tian; Elif Ucurum; Xudong Han; Rupert C. D. Young; Chris R. Chatwin; Philip Birch (CoRR, 2025)

RuozhiBench: Evaluating LLMs with Logical Fallacies and Misleading Premises. - Zenan Zhai; Hao Li; Xudong Han; Zhenxuan Zhang; Yixuan Zhang; Timothy Baldwin; Haonan Li 002 (CoRR, 2025)

SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning. - Renxi Wang; Honglin Mu; Liqun Ma; Lizhi Lin; Yunlong Feng; Timothy Baldwin; Xudong Han; Haonan Li 002 (CoRR, 2025)

Control Illusion: The Failure of Instruction Hierarchies in Large Language Models. - Yilin Geng; Haonan Li 002; Honglin Mu; Xudong Han; Timothy Baldwin; Omri Abend; Eduard H. Hovy; Lea Frermann (CoRR, 2025)

Llama-3.1-Sherkala-8B-Chat: An Open Large Language Model for Kazakh. - Fajri Koto; Rituraj Joshi; Nurdaulet Mukhituly; Yuxia Wang; Zhuohan Xie; Rahul Pal; Daniil Orel; Parvez Mullah; Diana Turmakhan; Maiya Goloburda; Mohammed Kamran; Samujjwal Ghosh; et al. (CoRR, 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

Llama-3-Nanda-10B-Chat: An Open Generative Large Language Model for Hindi. - Monojit Choudhury; Shivam Chauhan; Rocktim Jyoti Das; Dhruv Sahnan; Xudong Han; Haonan Li 002; Aaryamonvikram Singh; Alok Anil Jadhav; Utkarsh Agarwal; Mukund Choudhary; Debopriyo Banerjee; Fajri Koto; et al. (CoRR, 2025)

Exploring Video-Based Driver Activity Recognition under Noisy Labels. - Linjuan Fan; Di Wen 006; Kunyu Peng; Kailun Yang 001; Jiaming Zhang 001; Ruiping Liu 001; Yufan Chen 001; Junwei Zheng; Jiamin Wu; Xudong Han; Rainer Stiefelhagen (CoRR, 2025)

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models. - Junjie Yang; Junhao Song; Xudong Han; Ziqian Bi; Tianyang Wang; Chia Xin Liang; Xinyuan Song; Yichao Zhang; Qian Niu; Benji Peng; Keyu Chen; Ming Liu (CoRR, 2025)

DeepMath-Creative: A Benchmark for Evaluating Mathematical Creativity of Large Language Models. - Xiaoyang Chen; Xinan Dai; Yu Du; Qian Feng; Naixu Guo; Tingshuo Gu; Yuting Gao; Yingyi Gao; Xudong Han; Xiang Jiang 012; Yilin Jin; Hongyi Lin; et al. (CoRR, 2025)

SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning. - Xiong Jun Wu; Zhenduo Zhang; Zujie Wen; Zhiqiang Zhang 012; Wang Ren; Lei Shi; Cai Chen; Deng Zhao; Qing Wang; Xudong Han; Chengfu Tang; Dingnan Jin; et al. (CoRR, 2025)

Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment. - Haowen Wang; Yun Yue; Zhiling Ye; Shuowen Zhang; Lei Fan; Jiaxin Liang; Jiadi Jiang; Cheng Wei; Jingyuan Deng; Xudong Han; Ji Li; Chunxiao Guo; et al. (CoRR, 2025)

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking. - Xudong Han; Pengcheng Fang; Yueying Tian; Jianhui Yu; Xiaohao Cai; Daniel Roggen; Philip Birch (CoRR, 2025)