| 2026 | AAAI | OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting. | Dawei Gao, Angello Huerta Gomez, Mingchen Li, Marcel El-Mokahal, Huaxiao Yang, Yunhe Feng |
| 2026 | ACL | ProMCP: Profiling Token Flows and Latency Costs in Model Context Protocol-Based LLM Agents. | Sumera Anjum, Weijian Zheng, Rajkumar Kettimuthu, Heng Fan, Yunhe Feng |
| 2026 | EACL | Harmful Factuality: LLMs Correcting What They Shouldn't. | Mingchen Li, Hanzhi Zhang, Heng Fan, Junhua Ding, Yunhe Feng |
| 2026 | HPDC | Scalable Quantum Circuit Simulation via Circuit Cutting and FPGA Acceleration. | Xiaokun Yang, Xinpeng Li, Jeremy W. Turner, Cameron D. DiSomma, Yunhe Feng, Xuechen Zhang, Vipin Chaudhary, Shuai Xu |
| 2026 | WWW | Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings. | Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng |
| 2025 | ACL | DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration. | Hanzhi Zhang, Heng Fan, Kewei Sha, Yan Huang, Yunhe Feng |
| 2025 | CHASE | HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making. | Sumera Anjum, Hanzhi Zhang, Wenjun Zhou, Eun Jin Paek, Xiaopeng Zhao, Yunhe Feng |
| 2025 | CHASE | HealthLit: A Large Language Model Driven Health Literacy Fidelity Audit and Feedback System. | Hang Tran, Sameep Shah, Donger Chen, Jixin Wang, Yunhe Feng, Carol Howe, Lindsey Patton, Liran Ma, Song Fu |
| 2025 | EMNLP | DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. | Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng |
| 2025 | ICCS | Flexible User-Defined Domain Decomposition in Kilometer-Scale E3SM Land Model Simulation. | Zhuowei Gu, Dali Wang, Dawei Gao, Yunhe Feng, Qinglei Cao |
| 2025 | ICCV | PRVQL: Progressive Knowledge-Guided Refinement for Robust Egocentric Visual Query Localization. | Bing Fan, Yunhe Feng, Yapeng Tian, James Chenhao Liang, Yuewei Lin, Yan Huang, Heng Fan |
| 2025 | IJCNN | DCT-GMM-FedSeg: Multimodal Medical Image Segmentation in a Federated Learning Framework. | Yunhe Feng, Jianan Wang, Xiong Wang, Lingren Wang, Yutong Li, Renda Han |
| 2025 | IROS | Efficient and Accurate Low-Resolution Transformer Tracking. | Shaohua Dong, Yunhe Feng, James Liang, Qing Yang, Yuewei Lin, Heng Fan |
| 2024 | HPDC | CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. | Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello |
| 2024 | ICCS | S3LLM: Large-Scale Scientific Software Understanding with LLMs Using Source, Metadata, and Document. | Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng |
| 2024 | IROS | Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning. | Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan |
| 2024 | KSEM | GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. | Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng |
| 2024 | WACV | PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. | Colton Clemmer, Junhua Ding, Yunhe Feng |
| 2023 | COMPSAC | Investigating Code Generation Performance of ChatGPT with Crowdsourcing Social Data. | Yunhe Feng, Sreecharan Vanam, Manasa Cherukupally, Weijian Zheng, Meikang Qiu, Haihua Chen |
| 2023 | CVPR | Towards Transferable Targeted Adversarial Examples. | Zhibo Wang, Hongshan Yang, Yunhe Feng, Peng Sun, Hengchang Guo, Zhifei Zhang, Kui Ren |
| 2023 | HPDC | FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. | Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2023 | ICCV | Towards Fairness-aware Adversarial Network Pruning. | Lei Zhang, Zhibo Wang, Xiaowei Dong, Yunhe Feng, Xiaoyi Pang, Zhifei Zhang, Kui Ren |
| 2023 | IJCAI | Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models. | Preetam Prabhu Srikar Dammu, Yunhe Feng, Chirag Shah |
| 2022 | AAAI | Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. | Yunhe Feng, Chirag Shah |
| 2022 | WWW | ExpScore: Learning Metrics for Recommendation Explanation. | Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah |
| 2021 | CLUSTER | Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. | Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2020 | INFOCOM | Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering. | Peng Sun, Zhibo Wang, Yunhe Feng, Liantao Wu, Yanjun Li, Hairong Qi, Zhi Wang |
| 2019 | GLOBECOM | Two-Level Index for Truss Community Query in Large-Scale Graphs. | Zheng Lu, Yunhe Feng, Qing Cao |
| 2019 | GLOBECOM | Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics for Once-in-a-Lifetime Events. | Yunhe Feng, Zheng Lu, Zhonghua Zheng, Peng Sun, Wenjun Zhou, Ran Huang, Qing Cao |
| 2019 | WWW | The World Wants Mangoes and Kangaroos: A Study of New Emoji Requests Based on Thirty Million Tweets. | Yunhe Feng, Wenjun Zhou, Zheng Lu, Zhibo Wang, Qing Cao |
| 2018 | IGARSS | Dection and Health Analysis of Individual Tree in Urban Environment with Multi-Sensor Platform. | Yunhe Feng, Chenglu Wen, Pengdi Huang, Cheng Wang, Jonathan Li |
| 2017 | CloudCom | Decentralized Search for Shortest Path Approximation in Large-Scale Complex Networks. | Zheng Lu, Yunhe Feng, Qing Cao |