| 2026 | NSDI | Mortise: Auto-tuning Congestion Control to Optimize QoE via Network-Aware Parameter Optimization. | Yixin Shen, Ruihua Chen, Bo Wang, Jing Chen, Haochen Zhang, Minhu Wang, Mingwei Xu, Zili Meng |
| 2026 | WACV | Conversational Image Generation: Towards Multi-Round Personalized Generation with Multi-Modal Language Models. | Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He |
| 2026 | WACV | FAST-EQA: Efficient Embodied Question Answering with Global and Local Region Relevancy. | Haochen Zhang, Nirav Savaliya, Faizan Siddiqui, Enna Sachdeva |
| 2026 | SIGCOMM | Improving Evaluation of Heterogenous Congestion Control Algorithm Interactions. | Ranysha Ware, Haochen Zhang, Isabel Suizo, Srinivasan Seshan, Justine Sherry |
| 2025 | ACL | CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems. | Haochen Zhang, Tianyi Zhang, Junze Yin, Oren Gal, Anshumali Shrivastava, Vladimir Braverman |
| 2025 | AISTATS | Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory. | Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla |
| 2025 | ICCV | Topology-Preserving Image Segmentation with Spatial-Aware Persistent Feature Matching. | Bo Wen, Haochen Zhang, Dirk-Uwe G. Bartsch, William R. Freeman, Truong Q. Nguyen, Cheolhong An |
| 2025 | ICLR | Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition. | Zhong Zheng, Haochen Zhang, Lingzhou Xue |
| 2025 | ICLR | Federated Q-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost. | Zhong Zheng, Haochen Zhang, Lingzhou Xue |
| 2025 | ICML | Gap-Dependent Bounds for Federated Q-Learning. | Haochen Zhang, Zhong Zheng, Lingzhou Xue |
| 2025 | IROS | SORT3D: Spatial Object-centric Reasoning Toolbox for Zero-Shot 3D Grounding Using Large Language Models. | Nader Zantout, Haochen Zhang, Pujith Kachana, Jinkai Qiu, Guofei Chen, Ji Zhang, Wenshan Wang |
| 2025 | ICRA | IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes. | Haochen Zhang, Nader Zantout, Pujith Kachana, Ji Zhang, Wenshan Wang |
| 2025 | ISNN | A Novel Synchronization Control Scheme for Time-Delayed SMDS Teleoperation System with Damping Adjustment. | Jiangning Wen, Haochen Zhang, Dingbiao Zhang, Shaobo Shen, Liyue Fu, Weirong Liu, Er Chao Li, Jinyan Li, Zhuoyue Zhang |
| 2025 | MICCAI | Class-Conditioned Image Synthesis with Diffusion for Imbalanced Diabetic Retinopathy Grading. | Haochen Zhang, Anna Heinke, Ines D. Nagel, Dirk-Uwe G. Bartsch, William R. Freeman, Truong Q. Nguyen, Cheolhong An |
| 2024 | ACISP | AlgSAT - A SAT Method for Verification of Differential Trails from an Algebraic Perspective. | Huina Li, Haochen Zhang, Kai Hu, Guozhen Liu, Weidong Qiu |
| 2024 | CIKM | On the Use of Large Language Models for Table Tasks. | Yuyang Dong, Masafumi Oyamada, Chuan Xiao, Haochen Zhang |
| 2024 | CVPR | Modeling Detailed Human Geometry with Adaptive Local Refinement. | Bang Du, Kunyao Chen, Haochen Zhang, Fei Yin, Baichuan Wu, Truong Nguyen |
| 2024 | EMNLP | Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing. | Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada |
| 2024 | VLDB | Large Language Models as Data Preprocessors. | Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada |
| 2023 | SIGIR | Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval. | Haochen Zhang, Anton Korikov, Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Manasa Bharadwaj, Ali Pesaranghader, Xi Yu Huang, Yi Xin Lok, Zhaoqi Wang, Nathan Jones, Scott Sanner |
| 2022 | MICCAI | DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. | Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang |
| 2021 | ICCV | Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective. | Wei Wang, Haochen Zhang, Zehuan Yuan, Changhu Wang |
| 2021 | IJCNN | Graph Convolutional Network Based Patent Issue Discovery Model. | Weidong Liu, Haochen Zhang, Xu Guo, Yong Han |
| 2019 | ICCV | Two-Stream Action Recognition-Oriented Video Super-Resolution. | Haochen Zhang, Dong Liu, Zhiwei Xiong |
| 2017 | IJCAI | From Decimation to Local Search and Back: A New Approach to MaxSAT. | Shaowei Cai, Chuan Luo, Haochen Zhang |
| 2017 | VCIP | CNN-based text image super-resolution tailored for OCR. | Haochen Zhang, Dong Liu, Zhiwei Xiong |
| 2014 | SIGIR | Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification. | Yongfeng Zhang, Haochen Zhang, Min Zhang, Yiqun Liu, Shaoping Ma |
| 2013 | MSWIM | Social drive: a crowdsourcing-based vehicular social networking system for green transportation. | Xiping Hu, Victor C. M. Leung, Kevin Garmen Li, Edmond Kong, Haochen Zhang, Nambiar Shruti Surendrakumar, Peyman TalebiFard |