| 2026 | ACL | PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models. | Han Bao, Penghao Zhang, Yue Huang, Zhengqing Yuan, Yanchi Ru, S. U. Rui, Yujun Zhou, Xiangqi Wang, Kehan Guo, Nitesh V. Chawla, Yanfang Ye, Xiangliang Zhang |
| 2026 | ACL | Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs. | Yue Huang, Haomin Zhuang, Jiayi Ye, Han Bao, Yanbo Wang, Hang Hua, Siyuan Wu, Pin-Yu Chen, Xiangliang Zhang |
| 2026 | ACL | Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats. | Pengxiang Zhao, Hui-Ling Zhen, Xing Li, Han Bao, Weizhe Lin, Zhiyuan Yang, Yu Zi Wei, Xin Wang, Mingxuan Yuan, Xianzhi Yu, Zhenhua Dong |
| 2026 | ASPDAC | OAH-CIM: Outlier-Aware Hybrid RRAM-SRAM CIM Accelerator with Variation-Robust Sparsity. | Zhiwei Zhou, Tong Hu, Han Bao, Houji Zhou, Yuyang Fu, Jiancong Li, Jia Chen, Yi Li, Xiangshui Miao |
| 2026 | ISCAS | A Scaling Annealing Method for Combinatorial Optimization in Asynchronous Memristive Hopfield Network. | Han Bao, Kehong Xu, Yibai Xue, Zhiwei Zhou, Yuyang Fu, Jiancong Li, Jia Chen, Yi Li, Xiangshui Miao |
| 2026 | ISCAS | IDSPfree: An FPGA-Based Intrusion Detection System with DSP-Free Design. | Abdessamad Nassihi, Ahmed Sadaqa, Muhammad Iqbal Khan, Han Bao, Ruiqi Chen, Bruno da Silva |
| 2026 | ICS | EPLoN: Exploiting Efficient Parallelism with Selective Rematerialization for Lightning Attention on Ascend NPU. | Han Bao, Zhenfeng Su, Alexander Setyaev, Stanislav Kamenev, Alexander Gneushev, Kang Zhao, Junmin Xiao, Haoran Lin, Anastasiya Bistrigova, Sergey Buzykanov, Evgeny Tetin, Guangming Tan, Boxiao Liu, Xueyi Zou, Zhenhua Dong, Constantine Korikov, Xianzhi Yu, Zhongzhe Hu |
| 2026 | WWW | IntraAI: Bridging Human-AI Understanding Through Intelligent Interface Design. | Han Bao, Yue Huang, Xiangliang Zhang, Yanfang Ye |
| 2026 | WWW | Boosting Large Language Models for Mental Manipulation Detection via Data Augmentation and Distillation. | Yuansheng Gao, Peng Gao, Han Bao, Bin Li, Jixiang Luo, Zonghui Wang, Wenzhi Chen |
| 2026 | SIGCOMM | UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods. | Yipeng Liu, Chang Liu, Si Shen, Jiaqi Zheng, Mingfan Li, Yuyang Yang, Guanhua Li, Yuquan Zhang, Yimeng Xu, Zhongzhe Hu, Zhiyuan Huang, Qihang Duan, Junsong Wang, Wenkai Ling, Baochuan Yang, Xianzhi Yu, Han Bao, Yijie Chen, Guihai Chen |
| 2025 | AAAI | LiD-FL: Towards List-Decodable Federated Learning. | Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv |
| 2025 | AISTATS | Calm Composite Losses: Being Improper Yet Proper Composite. | Han Bao, Nontawat Charoenphakdee |
| 2025 | AISTATS | Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States. | Han Bao, Shinsaku Sakaue |
| 2025 | AISTATS | Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel-Young Loss Perspective and Gap-Dependent Regret Analysis. | Shinsaku Sakaue, Han Bao, Taira Tsuchiya |
| 2025 | CHI | Exploring Wearable Design for Emotional Health and Well-Being during Menopause: Perspectives and Design Opportunities. | Weiwei Zhang, Han Bao, Chenyang Li, Yuxiang Zhai, Jie Liu, Jiangtao Gong |
| 2025 | DATE | NVSRLO: A FeFET-Based Non-Volatile and SEU-Recoverable Latch Design with Optimized Overhead. | Aibin Yan, Wangjin Jiang, Han Bao, Zhengfeng Huang, Tianming Ni, Xiaoqing Wen, Patrick Girard |
| 2025 | ECAI | DRLServe: Adaptive Prefill Chunking with Deep Reinforcement Learning for LLM Inference. | Chongxiang Sun, Han Bao, Yijie Wang |
| 2025 | EuroSys | SuperFE: A Scalable and Flexible Feature Extractor for ML-based Traffic Analysis Applications. | Menghao Zhang, Guanyu Li, Cheng Guo, Renyu Yang, Shicheng Wang, Han Bao, Xiao Li, Mingwei Xu, Tianyu Wo, Chunming Hu |
| 2025 | FCCM | FPGA-Based Approximate Multiplier for FP8. | Ruiqi Chen, Yangxintong Lyu, Han Bao, Jiayu Liu, Yanxiang Zhu, Shidi Tang, Ming Ling, Bruno da Silva |
| 2025 | ICLR | PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis. | Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa |
| 2025 | ICLR | TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models. | Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba |
| 2025 | ICML | FlatQuant: Flatness Matters for LLM Quantization. | Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao |
| 2025 | ICPADS | HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference. | Haoran Lin, Xianzhi Yu, Kang Zhao, Han Bao, Zongyuan Zhan, Ting Hu, Wulong Liu, Zekun Yin, Xin Li, Weiguo Liu |
| 2025 | ICPADS | NL2CSP: Towards Automated CSP Code Generation with Large Language Models. | Chenhui Wang, Nuowei Liu, Han Bao, Di Wu, Huiying Liu, Jiaqi Yin, Huibiao Zhu |
| 2025 | IWQoS | JointSerLoRA: Cache-Aware LoRA Inference Serving. | Rui Li, Han Bao, Huaimin Wang, Peichang Shi, Guodong Yi |
| 2025 | SEKE | Verifying the Communication and Security Mechanisms of WAMP. | Han Bao, Chenhui Wang, Huibiao Zhu |
| 2025 | UIST | MILO: An LLM Multi-Stage Conversational Agent for Fostering Teenagers' Mental Resilience. | Han Bao, Yongan Yu, Bohan Wang, Xiaowen Lu, Xin Tong |
| 2024 | AAAI | Referee-Meta-Learning for Fast Adaptation of Locational Fairness. | Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou |
| 2024 | ACNS | Efficient Clustering on Encrypted Data. | Mengyu Zhang, Long Wang, Xiaoping Zhang, Zhuotao Liu, Yisong Wang, Han Bao |
| 2024 | AISTATS | Fast 1-Wasserstein distance approximations using greedy strategies. | Guillaume Houry, Han Bao, Han Zhao, Makoto Yamada |
| 2024 | COLT | Online Structured Prediction with Fenchel-Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss. | Shinsaku Sakaue, Han Bao, Taira Tsuchiya, Taihei Oki |
| 2024 | ICML | Self-attention Networks Localize When QK-eigenspectrum Concentrates. | Han Bao, Ryuichiro Hataya, Ryo Karakida |
| 2024 | IJCAI | Pluggable Watermarking of Deepfake Models for Deepfake Detection. | Han Bao, Xuhong Zhang, Qinying Wang, Kangming Liang, Zonghui Wang, Shouling Ji, Wenzhi Chen |
| 2023 | AAAI | BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo. | Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, Zeming Li |
| 2023 | AAAI | Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. | Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun |
| 2023 | ACL | Unbalanced Optimal Transport for Unbalanced Word Alignment. | Yuki Arase, Han Bao, Sho Yokoi |
| 2023 | COLT | Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds. | Han Bao |
| 2023 | ICCV | Will Large-scale Generative Models Corrupt Future Datasets? | Ryuichiro Hataya, Han Bao, Hiromi Arai |
| 2023 | ICPP | FastDimeNet++: Training DimeNet++ in 22 minutes. | Feiwen Zhu, Michal Futrega, Han Bao, Sukru Burc Eryilmaz, Fei Kong, Kefeng Duan, Xinnian Zheng, Nimrod Angel, Matthias Jouanneaux, Maximilian Stadler, Michal Marcinkiewicz, Fung Xie, June Yang, Michael Andersch |
| 2022 | AAAI | Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. | Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam |
| 2022 | ACML | Robust computation of optimal transport by β-potential regularization. | Shintaro Nakamura, Han Bao, Masashi Sugiyama |
| 2022 | AISTATS | Pairwise Supervision Can Provably Elicit a Decision Boundary. | Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama |
| 2022 | ICDM | STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. | Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2022 | ICML | On the Surrogate Gap between Contrastive and Supervised Losses. | Han Bao, Yoshihiro Nagano, Kento Nozawa |
| 2022 | IJCAI | Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). | Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2022 | NSDI | IMap: Fast and Scalable In-Network Scanning with Programmable Switches. | Guanyu Li, Menghao Zhang, Cheng Guo, Han Bao, Mingwei Xu, Hongxin Hu, Fenghua Li |
| 2021 | AISTATS | Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation. | Han Bao, Masashi Sugiyama |
| 2021 | HOTNETS | Switches are Scanners Too!: A Fast and Scalable In-Network Scanner with Programmable Switches. | Guanyu Li, Menghao Zhang, Cheng Guo, Han Bao, Mingwe Xu, Hongxin Hu |
| 2021 | ICDM | A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. | Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2020 | AISTATS | Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification. | Han Bao, Masashi Sugiyama |
| 2020 | COLT | Calibrated Surrogate Losses for Adversarially Robust Classification. | Han Bao, Clayton Scott, Masashi Sugiyama |
| 2020 | ICTAI | Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation. | Bo Pang, Han Bao, Chongjun Wang |
| 2020 | MICCAI | Calibrated Surrogate Maximization of Dice. | Marcus Nordstrm, Han Bao, Fredrik Lfman, Henrik Hult, Atsuto Maki, Masashi Sugiyama |
| 2019 | AAAI | Unsupervised Domain Adaptation Based on Source-Guided Discrepancy. | Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama |
| 2019 | ICML | Imitation Learning from Imperfect Demonstration. | Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama |
| 2019 | PRICAI | Writing to the Hopfield Memory via Training a Recurrent Network. | Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai |
| 2018 | ICDM | A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. | Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight |
| 2018 | ICML | Classification from Pairwise Similarity and Unlabeled Data. | Han Bao, Gang Niu, Masashi Sugiyama |
| 2016 | ICPADS | A C-SVM Based Anomaly Detection Method for Multi-Dimensional Sequence over Data Stream. | Han Bao, Yijie Wang |