Sequence analysis and membrane partitioning energies of -helical antimicrobial peptides. - Xing Han; Wenjun Kang (Bioinform., 2004)

Finite element analysis of hot-rolled seamless pipe rolling process elastic-plastic deformation. - Chang Li; Guangbing Zhao; Xing Han (EMEIT, 2011)

HSWL: an efficient hash-based static wear leveling algorithm. - Lisen Gao; Yuzhuo Fu; Xing Han; Hong Zhou (ICDIP, 2013)

Reconfigurable Many-Core Processor with Cache Coherence. - Xing Han; Jiang Jiang; Yuzhuo Fu; Chang Wang 003 (NCCET, 2013)

Applying Variable Neighborhood Search Algorithm to Multicore Task Scheduling Problem. - Chang Wang 003; Jiang Jiang; Xianbin Xu; Xing Han; Qiang Cao (NCCET, 2013)

A Dynamic Contention-aware Application Allocation Algorithm for Many-core Processor. - Chang Wang 003; Yongxin Zhu 001; Jiang Jiang; Xu Liu; Xing Han (HPCC/CSS/ICESS, 2015)

CRA: a dynamic task allocation algorithm for many-core processor. - Chang Wang 003; Jiang Jiang; Yongxing Zhu; Xu Liu; Xing Han (PMAM@PPoPP, 2015)

A deadlock-free subnetting mechanism for high performance broadcasting in NoC. - Xing Han; Yuzhuo Fu; Jiang Jiang; Chang Wang 003 (IEICE Electron. Express, 2015)

A PGM based multi-level reliability analysis method for Data Cache. - Jiajia Jiao; Xing Han; Yuzhuo Fu (IEICE Electron. Express, 2015)

Frequency Recognition Based on Optimized Power Spectral Density Analysis for SSSEP-Based BCIs. - Xing Han; Yadong Liu 001; Yang Yu 014; Zongtan Zhou (IScIDE, 2017)

Certified Monotonic Neural Networks. - Xingchao Liu; Xing Han; Na Zhang; Qiang Liu 001 (NeurIPS, 2020)

Transparent Interpretation with Knockouts. - Xing Han (CoRR, 2020)

Visual Sorting of Express Parcels Based on Multi-Task Deep Learning. - Song Han; Xiaoping Liu; Xing Han; Gang Wang 025; Shaobo Wu (Sensors, 2020)

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. - Xing Han; Sambarta Dasgupta; Joydeep Ghosh (AISTATS, 2021)

Model-Agnostic Explanations using Minimal Forcing Subsets. - Xing Han; Joydeep Ghosh (IJCNN, 2021)

Multi-Pair Text Style Transfer on Unbalanced Data. - Xing Han; Jessica Lundin (CoRR, 2021)

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series. - Xing Han; Jing Hu; Joydeep Ghosh (CoRR, 2021)

SIMulation: Demystifying (Insecure) Cellular Network based One-Tap Authentication Services. - Ziyi Zhou; Xing Han; Zeyuan Chen; Yuhong Nan; Juanru Li; Dawu Gu (DSN, 2022)

Dynamic Combination of Heterogeneous Models for Hierarchical Time Series. - Xing Han; Jing Hu; Joydeep Ghosh (ICDM (Workshops), 2022)

Architecture Agnostic Federated Learning for Neural Networks. - Disha Makhija; Xing Han; Nhat Ho; Joydeep Ghosh (ICML, 2022)

Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering. - Xing Han; Tongzheng Ren; Jing Hu; Joydeep Ghosh; Nhat Ho (CoRR, 2022)

Split Localized Conformal Prediction. - Xing Han; Ziyang Tang; Joydeep Ghosh; Qiang Liu 001 (CoRR, 2022)

Robustify Transformers with Robust Kernel Density Estimation. - Xing Han; Tongzheng Ren; Tan Minh Nguyen; Khai Nguyen; Joydeep Ghosh; Nhat Ho (CoRR, 2022)

KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. - Jiawei Zhu; Xing Han; Hanhan Deng; Chao Tao 001; Ling Zhao 005; Pu Wang 005; Tao Lin 008; Haifeng Li 007 (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data. - Xing Han; Jing Hu; Joydeep Ghosh (IJCNN, 2023)

Designing Robust Transformers using Robust Kernel Density Estimation. - Xing Han; Tongzheng Ren; Tan Nguyen; Khai Nguyen; Joydeep Ghosh; Nhat Ho (NeurIPS, 2023)

Medusa Attack: Exploring Security Hazards of In-App QR Code Scanning. - Xing Han; Yuheng Zhang; Xue Zhang; Zeyuan Chen; Mingzhe Wang; Yiwei Zhang; Siqi Ma; Yu Yu 001; Elisa Bertino; Juanru Li (USENIX Security Symposium, 2023)

Ollivier-Ricci Curvature Based Spatio-Temporal Graph Neural Networks for Traffic Flow Forecasting. - Xing Han; Guowei Zhu; Ling Zhao 005; Ronghua Du; Yuhan Wang; Zhe Chen; Yang Liu; Silu He (Symmetry, 2023)

Self-Supervised Spatiotemporal Masking Strategy-Based Models for Traffic Flow Forecasting. - Gang Liu; Silu He; Xing Han; Qinyao Luo; Ronghua Du; Xinsha Fu; Ling Zhao 005 (Symmetry, 2023)

MHANet: Multi-scale hybrid attention network for crowd counting. - Ying Yu; Jiamao Yu; Jin Qian; Zhiliang Zhu; Xing Han (J. Intell. Fuzzy Syst., 2023)

FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion. - Xing Han; Huy Nguyen; Carl Harris; Nhat Ho; Suchi Saria (NeurIPS, 2024)

Novel Node Category Detection Under Subpopulation Shift. - Hsing-Huan Chung; Shravan Chaudhari; Yoav Wald; Xing Han; Joydeep Ghosh (ECML/PKDD (4), 2024)

LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting. - Qinyao Luo; Silu He; Xing Han; Yuhan Wang; Haifeng Li 007 (CoRR, 2024)

WitheredLeaf: Finding Entity-Inconsistency Bugs with LLMs. - Hongbo Chen; Yifan Zhang 010; Xing Han; Huanyao Rong; Yuheng Zhang; Tianhao Mao; Hang Zhang; XiaoFeng Wang 001; Luyi Xing; Xun Chen (CoRR, 2024)

Achieving Fairness Across Local and Global Models in Federated Learning. - Disha Makhija; Xing Han; Joydeep Ghosh; Yejin Kim 001 (CoRR, 2024)

AGORA: Open More and Trust Less in Binary Verification Service. - Hongbo Chen; Quan Zhou; Sen Yang; Xing Han; Fan Zhang 019; Danfeng Zhang; XiaoFeng Wang 001 (CoRR, 2024)

Optimizing RAG Techniques for Automotive Industry PDF Chatbots: A Case Study with Locally Deployed Ollama Models. - Fei Liu; Zejun Kang; Xing Han (CoRR, 2024)

On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions. - Huy Nguyen; Xing Han; Carl Harris; Suchi Saria; Nhat Ho (CoRR, 2024)

Quadratic Gating Functions in Mixture of Experts: A Statistical Insight. - Pedram Akbarian; Huy Nguyen; Xing Han; Nhat Ho (CoRR, 2024)

Transformer-CNN hybrid network for crowd counting. - Jiamao Yu; Ying Yu; Jin Qian; Xing Han; Feng Zhu; Zhiliang Zhu (J. Intell. Fuzzy Syst., 2024)

LSTTN: A Long-Short Term Transformer-based spatiotemporal neural network for traffic flow forecasting. - Qinyao Luo; Silu He; Xing Han; Yuhan Wang; Haifeng Li 007 (Knowl. Based Syst., 2024)

Research on multi-granularity sequential three-way decisions based on the fuzzy T-equivalence relation. - Jin Qian; Xing Han; Ying Yu; Caihui Liu; Jiamao Yu (Appl. Soft Comput., 2024)

Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning. - Hsing-Huan Chung; Shravan Chaudhari; Xing Han; Yoav Wald; Suchi Saria; Joydeep Ghosh (Trans. Mach. Learn. Res., 2025)

WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. - Drew Prinster; Xing Han; Anqi Liu; Suchi Saria (CoRR, 2025)

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping. - Xiaojun Shan; Qi Cao; Xing Han; Haofei Yu; Paul Pu Liang (CoRR, 2025)