| 2026 | ACL | e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings. | Haonan Chen, Sicheng Gao, Radu Timofte, Tetsuya Sakai, Zhicheng Dou |
| 2026 | ACL | MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings. | Haonan Chen, Hong Liu, Yuping Luo, Liang Wang, Nan Yang, Furu Wei, Zhicheng Dou |
| 2026 | ACL | RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language Models. | Xiaobin Tian, Shuai Yuan, Muyun Ding, Haonan Chen, Xiaoxi Jiang |
| 2026 | QoMEX | A Subjective Quality Database for Human-AI Co-Created Images. | Xiangxu Yu, Haonan Chen, Jiyan Tong, Yifan Mao, Chao Yang, Xinpeng Huang, Ping An |
| 2025 | ACL | mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data. | Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou |
| 2025 | CIKM | ClariLM: Enhancing Open-domain Clarification Ability for Large Language Models. | Ziliang Zhao, Haonan Chen, Shiren Song, Jian Xie, Zhicheng Dou |
| 2025 | ICASSP | Frequency-enhanced Comprehensive Dependency Attention for Time Series Anomaly Detection. | Haonan Chen, Hongzuo Xu, Songlei Jian, Ruyi Zhang, Xingming Li, Zibo Yi |
| 2025 | ICRA | Learning Coordinated Bimanual Manipulation Policies Using State Diffusion and Inverse Dynamics Models. | Haonan Chen, Jiaming Xu, Lily Sheng, Tianchen Ji, Shuijing Liu, Yunzhu Li, Katherine Driggs-Campbell |
| 2025 | IROS | MetaFold: Language-Guided Multi-Category Garment Folding Framework via Trajectory Generation and Foundation Model. | Haonan Chen, Junxiao Li, Ruihai Wu, Yiwei Liu, Yiwen Hou, Zhixuan Xu, Jingxiang Guo, Chongkai Gao, Zhenyu Wei, Shensi Xu, Jiaqi Huang, Lin Shao |
| 2025 | KDD | Retrieving Intent-covering Demonstrations for Clarification Generation in Conversational Search Systems. | Ziliang Zhao, Changle Qu, Zhicheng Dou, Haonan Chen, Jiajie Jin |
| 2025 | NAACL | Little Giants: Synthesizing High-Quality Embedding Data at Scale. | Haonan Chen, Liang Wang, Nan Yang, Yutao Zhu, Ziliang Zhao, Furu Wei, Zhicheng Dou |
| 2024 | ACL | Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. | Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao |
| 2024 | CoRL | TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach. | Weikun Peng, Jun Lv, Yuwei Zeng, Haonan Chen, Siheng Zhao, Jichen Sun, Cewu Lu, Lin Shao |
| 2024 | CVPR | NTIRE 2024 Challenge on Image Super-Resolution (4): Methods and Results. | Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel |
| 2024 | ECCV | UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. | Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen |
| 2024 | EMNLP | VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. | Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Bill Yuchen Lin, Wenhu Chen |
| 2024 | EMNLP | ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. | Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou |
| 2024 | ETFA | LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins. | Yuchen Xia, Daniel Dittler, Nasser Jazdi, Haonan Chen, Michael Weyrich |
| 2024 | IGARSS | General capability of an adaptive learning model for dual-polarization radar rainfall mapping. | Liangwei Wang, Haonan Chen |
| 2024 | IGARSS | Deep Learning for Precipitation Retrievals Using Combined Measurements from GOES-16 and GOES-18 Satellites. | Yifan Yang, Haonan Chen, Kwo-Sen Kuo |
| 2024 | IGARSS | Spatial Variety and Temporal Transitions of the Microphysical Processes During Super Typhoon Lekima (2019) Based Polarimetric Radar Variables. | Yabin Gou, Miao Zhou, Ranting Tao, Haonan Chen |
| 2024 | KDD | Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training. | Haonan Chen, Zhicheng Dou, Xuetong Hao, Yunhao Tao, Shiren Song, Zhenli Sheng |
| 2024 | NPC | Trustworthy and Incentivized Federated Learning Based on Blockchain. | Chunmei Ma, Haonan Chen, Xiangqian Li, Yuxiang Wang, Guangshun Li, Baogui Huang |
| 2024 | SNPD | A two-channel hybrid convolutional residual network for super-resolution of infrared images. | Yong Gan, Haonan Chen, Shaohui Zhou, Yuefeng Wang |
| 2024 | SNPD | Image denoising based on Swin Transformer Residual Conv U-Net. | Yong Gan, Shaohui Zhou, Haonan Chen, Yuefeng Wang |
| 2023 | AAAI | Cross-Modal Distillation for Speaker Recognition. | Yufeng Jin, Guosheng Hu, Haonan Chen, Duoqian Miao, Liang Hu, Cairong Zhao |
| 2023 | CoRL | Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. | Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell |
| 2023 | ECAI | SDV: Simple Double Validation Model-Based Offline Reinforcement Learning. | Xun Wang, Haonan Chen, Junming Yang, Zhuzhong Qian, Bolei Zhang |
| 2023 | ECIR | PyGaggle: A Gaggle of Resources for Open-Domain Question Answering. | Ronak Pradeep, Haonan Chen, Lingwei Gu, Manveer Singh Tamber, Jimmy Lin |
| 2023 | EMNLP | Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. | Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin Qian |
| 2023 | ICCV | ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment. | Bingyang Zhou, Haoyu Zhou, Tianhai Liang, Qiaojun Yu, Siheng Zhao, Yuwei Zeng, Jun Lv, Siyuan Luo, Qiancai Wang, Xinyuan Yu, Haonan Chen, Cewu Lu, Lin Shao |
| 2023 | IGARSS | Towards Bias Correction of Satellite Precipitation Retrievals in Complex Regions with Deep Learning: A Case Study over Taiwan. | Liping Wang, Haonan Chen, Yun-Lan Chen, Pingping Xie, Chia-Rong Chen, WenWei Tony Liao |
| 2023 | IGARSS | Precipitation Retrieval Using ABI and GLM Measurements on the Goes-R Series. | Yifan Yang, Alexander C. Hu, Haonan Chen, Kyle A. Hilburn |
| 2023 | IGARSS | MSF: One Lightweight Deep Learning Nowcasting Method with Attention Mechanism using Dual-Polarization Radar Observations. | Kexin Zhu, Haonan Chen, Lei Han |
| 2023 | IGARSS | Physical Analysis of the Impact of Polarization Parameters on Deep-learning Networks for Nowcasting. | Kexin Zhu, Haonan Chen, Lei Han |
| 2023 | IGARSS | Super-Resolution of GOES ABI Data Based on VIIRS Measurements and Auxiliary Environmental Information. | Haonan Chen, Changyong Cao |
| 2023 | IGARSS | The Initial Capability of X-Band Polarimetric Radar to Gap-Fill A S-Band and C-Band Radar Network for Convective Rainbands in Eastern China. | Yabin Gou, Miao Zhou, Wanlin Kong, Haonan Chen |
| 2023 | IGARSS | Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation: Model Interpretation and Explainability. | Wenyuan Li, Haonan Chen, Lei Han |
| 2022 | CIKM | From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking. | Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, Zhicheng Dou |
| 2022 | CIKM | Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. | Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen |
| 2022 | GLOBECOM | Wi-Uro: Real-time Monitoring and Alarming for Urine Bags Using Commodity Wi-Fi. | Haonan Chen, Zengyu Ye, Yutong Liu, Yongguang Li, Linghe Kong, Jiadi Yu, Guihai Chen |
| 2022 | IGARSS | Ensemble learning for improving satellite retrievals of orographic precipitation. | Liping Wang, Haonan Chen, WenWei Tony Liao |
| 2022 | IGARSS | A Frequency-Matching Method for Bias Correction of Deep Learning Nowcasts. | Ming Zhang, Yanhui Yin, Haonan Chen, Lei Han |
| 2022 | IGARSS | MCT U-net: A Deep Learning Nowcasting Method Using Dual-polarization Radar Observations. | Kexin Zhu, Haonan Chen, Lei Han |
| 2022 | ICRA | Learning to Navigate Intersections with Unsupervised Driver Trait Inference. | Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Rose Driggs-Campbell |
| 2022 | IGARSS | Polarimetric radar-based rainfall estimation through adaptive learning with multi-source data from the NOAA meteorological assimilation data ingest system. | Haonan Chen, Liangwei Wang, Greg Pratt, Wenwei Liao |
| 2022 | IGARSS | Attenuation and Partial Blockage Correction for Polarimetric Radar Rainfall Applications: A Case Study in Eastern China. | Yabin Gou, Bin Wu, Hong Zhu, Juan Zhou, Haonan Chen |
| 2022 | IGARSS | The Interpretation of Deep Learning for Convective Storm Nowcasting. | Wenyuan Li, Haonan Chen, Lei Han, Jianliang Xu |
| 2022 | IGARSS | A Machine Learning Approach for Convective Initiation Detection Using Multi-source Data. | Xuan Liu, Haonan Chen, Lei Han, Yurong Ge |
| 2022 | IGARSS | Precipitation Estimation from FY-3D Microwave Radiation Imager using Deep Learning. | Kangwen Liu, Jieying He, Haonan Chen |
| 2021 | IGARSS | Bias correction of satellite retrievals of orographic precipitation. | Luyao Sun, Haonan Chen, Lei Han |
| 2021 | IGARSS | Short-term prediction of precipitation associated with landfalling hurricanes through deep learning. | Shun Yao, Haonan Chen, Lei Han |
| 2021 | IGARSS | A Multi-Channel 3D Convolutional-Recurrent Neural Network for Convective Storm Nowcasting. | Wei Zhang, Rui Zhang, Haonan Chen, Guangxin He, Yurong Ge, Lei Han |
| 2021 | IGARSS | Deep learning for surface precipitation estimation using multidimensional polarimetric radar measurements. | Haonan Chen, V. Chandrasekar |
| 2021 | IGARSS | Towards an optimal polarimetric radar rainfall methodology: Demonstration during a water-logging disaster in eastern China. | Yabin Gou, Hong Zhu, Ming Yang, Haonan Chen, Jieying He |
| 2021 | IGARSS | Identification of Convective Precipitation Feature Observed by TRMM/GPM PR Using a Revised Unsupervised Clustering Proposal. | Lei Ji, Weixin Xu, Haonan Chen, Hao Chen |
| 2021 | IGARSS | Convective precipitation nowcasting using U-Net Model. | He Liang, Haonan Chen, Wei Zhang, Yurong Ge, Lei Han |
| 2021 | IGARSS | A deep learning system for precipitation estimation using measurements from the Advanced Baseline Imager (ABI) on the GOES-R series. | Yang Liu, Haonan Chen, Lei Han, Jieying He |
| 2020 | IGARSS | Cross validation of GOES-R and NOAA multi-radar multi-sensor (MRMS) QPE over the continental United States. | Luyao Sun, Haonan Chen, Lei Han, V. Chandrasekar, Jieying He, Yang Liu |
| 2020 | IGARSS | An investigation of a probabilistic nowcast system for dual-polarization radar applications. | Jianchang Zhang, Haonan Chen, Lei Han |
| 2020 | ICRA | Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning. | Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz |
| 2020 | IROS | Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. | Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs-Campbell |
| 2020 | IGARSS | A machine learning approach to derive precipitation estimates at global scale using space radar and ground-based observations. | V. Chandrasekar, Haonan Chen |
| 2020 | IGARSS | Resolving the Precipitation Microphysical Variability Induced by Orographic Enhancement in Complex Terrain Over the San Francisco Bay Area. | Haonan Chen, Robert Cifelli, V. Chandrasekar |
| 2020 | IGARSS | Polarimetric radar measurements and rainfall performance during an extreme rainfall event in complex terrain over Eastern China. | Yabin Gou, Zhangwei Wang, Yunli Hu, Haonan Chen, Jieying He |
| 2020 | IGARSS | Design and Development of Ground-Based Microwave Radiometer for Meteorological and Climate Applications. | Jieying He, Haonan Chen, Shengwei Zhang |
| 2019 | AAAI | Combining Fact Extraction and Verification with Neural Semantic Matching Networks. | Yixin Nie, Haonan Chen, Mohit Bansal |
| 2019 | IGARSS | Polarimetric Radar-based Quantitative Precipitation Estimation during Typhoon Events over Southern China. | Qiulei Xia, Haonan Chen, Wenjuan Zhang, Jieying He, Zhendong Yao |
| 2019 | IGARSS | Application of a physically based radar rainfall system over Southwest China. | Yabin Gou, Haonan Chen, Jieying He, Qiulei Xia |
| 2019 | IGARSS | Observations and Forcasting Analysis of Hurricane Sandy Using Satellite Microwave Remote Sensing. | Jieying He, Haonan Chen, Shengwei Zhang, Na Li |
| 2019 | SECON | PEC: Synthetic Aperture RFID Localization with Aperture Position Error Compensation. | Run Zhao, Dong Wang, Qian Zhang, Haonan Chen, Huatao Xu |
| 2018 | IGARSS | Cross Validation of Raindrop Size Distribution Retrievals from GPM Dual-frequency Precipitation Radar Using Ground-based Polarimetric Radar. | V. Chandrasekar, Sounak Kumar Biswas, Minda Le, Haonan Chen |
| 2018 | SECON | CRH: A Contactless Respiration and Heartbeat Monitoring System with COTS RFID Tags. | Run Zhao, Dong Wang, Qian Zhang, Haonan Chen, Anna Huang |
| 2017 | IGARSS | Meteorological observations and system performance from the nasa D3R's first 5 years. | V. Chandrasekar, Robert M. Beauchamp, Manuel Vega, Haonan Chen, Mohit Kumar, Shashank S. Joshil, Mathew R. Schwaller, Walter A. Petersen, David Wolff |
| 2017 | IGARSS | Characterization and estimation of precipitation over the olympic mountains experiment (OLYMPEx) region. | Haonan Chen, V. Chandrasekar |
| 2017 | IGARSS | Evaluation of the rainfall nowcasting system for a dense radar network over dallas-fort worth (DFW). | Haonan Chen, V. Chandrasekar |
| 2017 | IGARSS | High resolution quantitative precipitation estimation derived from measurement of S-band dual-polarization radar network over southern China. | Sheng Chen, Haonan Chen, V. Chandrasekar, Junjun Hu, Asi Zhang, Wenping Yuan |
| 2017 | IGARSS | Comparison of precipitation forecasts from NOAA's high resolution rapid refresh (HRRR) model with polarimetric radar observations in the San Francisco Bay Area. | Robert Cifelli, Haonan Chen, V. Chandrasekar |
| 2017 | SENSYS | Real-time and Nearly Ideal Hologram for RFID-based Indoor Localization. | Haonan Chen, Dong Wang |
| 2017 | WoWMoM | A novel accurate synthetic aperture RFID localization method with high radial accuracy. | Run Zhao, Qian Zhang, Dong Li, Haonan Chen, Dong Wang |
| 2016 | IGARSS | Regional polarimetric quantitative precipitation estimation over South Carolina. | Delbert Willie, Haonan Chen, V. Chandrasekar, Robert Cifelli |
| 2016 | IGARSS | Deployment and performance of the NASA D3R during the GPM OLYMPEx field campaign. | V. Chandrasekar, Robert M. Beauchamp, Haonan Chen, Manuel Vega, Mathew R. Schwaller, Delbert Willie, Aaron Dabrowski, Mohit Kumar, Walter A. Petersen, David Wolff |
| 2016 | IGARSS | Real-time tornado detection and wind retrieval with high-resolution X-band Doppler radar network. | Haonan Chen, V. Chandrasekar |
| 2016 | IGARSS | Attenuation correction and raindrop size distribution with Dual-polarization Radar measurements at Ku-band. | Haonan Chen, V. Chandrasekar, Sanghun Lim, Robert M. Beauchamp |
| 2015 | IGARSS | Deployment and performance of NASA D3R during GPM IPHEx field campaign. | V. Chandrasekar, Robert M. Beauchamp, Haonan Chen, Manuel Vega, Mathew R. Schwaller, Walter A. Petersen, David Wolff |
| 2015 | IGARSS | Characterization and estimation of light rainfall using NASA D3R observations during GPM IFloodS and IPHEx field campaigns. | Haonan Chen, V. Chandrasekar |
| 2014 | IGARSS | Deployment and performance of the NASA D3R during GPM IFloods field campaign. | Venkatachalam Chandrasekar, Haonan Chen, Robert M. Beauchamp, Manuel Vega, Mathew R. Schwaller, Walter A. Petersen, David Wolff, Delbert Willie |
| 2014 | IGARSS | Rainfall estimation from spaceborne and ground based radars using neural networks. | V. Chandrasekar, Srinivasa Ramanujam K., Haonan Chen, Minda Le, Amin Alqudah |
| 2014 | IGARSS | Estimation of rainfall drop size distribution from dual-polarization measurements at S-band, X-band, and Ku-band radar frequencies. | Haonan Chen, Venkatachalam Chandrasekar |
| 2013 | IGARSS | Evaluation of multisensor quantitative precipitation estimation methodologies. | Delbert Willie, Haonan Chen, V. Chandrasekar, Robert Cifelli, Carroll Campbell, David Reynolds |
| 2013 | IGARSS | Validation concepts with ground radars for global precipitation mission during the post launch era. | V. Chandrasekar, Haonan Chen, Luca Baldini, Dmitri Moisseev |
| 2012 | IGARSS | High resolution rainfall mapping in the Dallas-Fort Worth urban demonstration network. | Haonan Chen, V. Chandrasekar |