| 2026 | AAAI | Speech-Aware Long Context Pruning and Integration for Contextualized Automatic Speech Recognition. | Yiming Rong, Yixin Zhang, Ziyi Wang, Deyang Jiang, Yunlong Zhao, Haoran Wu, Shiyu Zhou, Bo Xu |
| 2026 | HPCA | TurboFuzz: FPGA Accelerated Hardware Fuzzing for Processor Agile Verification. | Yang Zhong, Haoran Wu, Xueqi Li, Sa Wang, David Boland, Yungang Bao, Kan Shi |
| 2026 | ISCA | Combating the Memory Walls: Optimization Pathways for Long-Context Agentic Llm Inference. | Haoran Wu, Can Xiao, Jiayi Nie, Xuan Guo, Binglei Lou, Jeffrey T. H. Wong, Zhiwen Mo, Cheng Zhang, Przemyslaw Forys, Chengyang Ai, Timi Adeniran, Wayne Luk, Hongxiang Fan, Jianyi Cheng, Timothy M. Jones, Rika Antonova, Robert Mullins, Aaron Zhao |
| 2025 | AAAI | Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs. | Yunlong Zhao, Haoran Wu, Bo Xu |
| 2025 | FPL | Aspo: Constraint-Aware Bayesian Optimization for Fpga-Based Soft Processors. | Haoran Wu, Ce Guo, Wayne Luk, Robert Mullins |
| 2025 | ICRA | SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation. | Wenchao Sun, Xuewu Lin, Yining Shi, Chuang Zhang, Haoran Wu, Sifa Zheng |
| 2024 | AAAI | Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence. | Zifan Wang, Zhuorui Ye, Haoran Wu, Junyu Chen, Li Yi |
| 2024 | CoRL | FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality. | Keyu Chen, Yuheng Lei, Hao Cheng, Haoran Wu, Wenchao Sun, Sifa Zheng |
| 2024 | CVPR | Dual-Enhanced Coreset Selection with Class-Wise Collaboration for Online Blurry Class Incremental Learning. | Yutian Luo, Shiqi Zhao, Haoran Wu, Zhiwu Lu |
| 2024 | ICASSP | Unsupervised Continual Learning of Image Representation Via Rememory-Based Simsiam. | Feifei Fu, Yizhao Gao, Zhiwu Lu, Haoran Wu, Shiqi Zhao |
| 2024 | ICASSP | Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN. | Guoxing Yang, Haoyu Lu, Chongxuan Li, Guang Zhou, Haoran Wu, Zhiwu Lu |
| 2024 | ICASSP | Multi-Level Contrastive Learning For Hybrid Cross-Modal Retrieval. | Yiming Zhao, Haoyu Lu, Shiqi Zhao, Haoran Wu, Zhiwu Lu |
| 2024 | SMC | A Faster Heuristic Scheduling Search for Robotic Cellular Manufacturing Systems with Generalized and Timed Petri Nets. | Yuanzheng Xiao, Haoran Wu, Yangqing Gao, Bo Huang |
| 2023 | ECAI | R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning. | Yutian Luo, Yizhao Gao, Haoran Wu, Ruitao Ma, Zhiwu Lu |
| 2023 | ICASSP | Matching-Based Term Semantics Pre-Training for Spoken Patient Query Understanding. | Zefa Hu, Xiuyi Chen, Haoran Wu, Minglun Han, Ziyi Ni, Jing Shi, Shuang Xu, Bo Xu |
| 2023 | ICLR | Learning Simultaneous Navigation and Construction in Grid Worlds. | Wenyu Han, Haoran Wu, Eisuke Hirota, Alexander Gao, Lerrel Pinto, Ludovic Righetti, Chen Feng |
| 2023 | ICONIP | Make Spoken Document Readable: Leveraging Graph Attention Networks for Chinese Document-Level Spoken-to-Written Simplification. | Yunlong Zhao, Haoran Wu, Shuang Xu, Bo Xu |
| 2023 | ICRA | Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments using Sliding Primitives. | Jiaxi Wu, Haoran Wu, Shanlin Zhong, Quqin Sun, Yinlin Li |
| 2022 | IJCNN | Joint Modeling of Document and Label with Clause Interaction Hypergraph for ICD Medical Code Assignment. | Haoran Wu, Linghui Meng, Shuang Xu, Bo Xu |
| 2022 | ICRA | HR-Planner: A Hierarchical Highway Tactical Planner based on Residual Reinforcement Learning. | Haoran Wu, Yueyuan Li, Hanyang Zhuang, Chunxiang Wang, Ming Yang |
| 2021 | NAACL | Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network. | Haoran Wu, Wei Chen, Shuang Xu, Bo Xu |
| 2019 | ICSE | MAF: method-anchored test fragmentation for test code plagiarism detection. | Weisong Sun, Xingya Wang, Haoran Wu, Ding Duan, Zesong Sun, Zhenyu Chen |
| 2018 | Interspeech | Analyzing Effect of Physical Expression on English Proficiency for Multimodal Computer-Assisted Language Learning. | Haoran Wu, Yuya Chiba, Takashi Nose, Akinori Ito |
| 2004 | DASFAA | Semi-supervised Text Classification Using Partitioned EM. | Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu |
| 2002 | KDD | A refinement approach to handling model misfit in text categorization. | Haoran Wu, Tong-Heng Phang, Bing Liu, Xiaoli Li |