| 2026 | WWW | From Words to Worlds: Measuring Cultural Narrative Bias in LLMs via a Structural-Value Pipeline. | Fangjian Shen, Yifan Zeng, Dechen Lyu, Wushao Wen |
| 2025 | CogSci | Structuralist Approach to AI Literary Criticism: Leveraging Greimas Semiotic Square for Large Language Models. | Fangzhou Dong, Yifan Zeng, Yingpeng Sang, Hong Shen |
| 2025 | CogSci | Unveiling Cultural Cognition in AI: A Systematic Investigation of Horizontal-Vertical Individualism-Collectivism Traits in Large Language Models. | Xu Tang, Yifan Zeng, Fangzhou Dong |
| 2025 | CogSci | Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play. | Yifan Zeng, Kairong Liang, Fangzhou Dong, Peijia Zheng |
| 2025 | EMNLP | SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. | Chelsi Jain, Yiran Wu, Yifan Zeng, Jiale Liu, Shengyu Dai, Zhenwen Shao, Qingyun Wu, Huazheng Wang |
| 2025 | EMNLP | Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents. | Jiale Liu, Yifan Zeng, Shaokun Zhang, Chi Zhang, Malte Hjmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu |
| 2025 | EMNLP | The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking. | Yaoyao Qian, Yifan Zeng, Yuchao Jiang, Chelsi Jain, Huazheng Wang |
| 2025 | EMNLP | TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. | Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Chenhao Zhu, Xinzhe Juan, Ling Yang, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang |
| 2025 | ICASSP | A Federated Learning Network Intrusion Detection System for Multiple Imbalances. | Yifan Zeng, Peijia Zheng, Jian Li |
| 2025 | ICLR | A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement. | Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi |
| 2025 | INFOCOM | Online Scheduling of Edge Multiple- Model Inference with DAG Structure and Retraining. | Yifan Zeng, Ruiting Zhou, Lei Jiao, Renli Zhang |
| 2025 | IWQoS | Online Deployment of Dynamic Edge DAG Serverless Functions Toward Fast Startup. | Yue Ma, Wentao Liu, Ruiting Zhou, Haodong Tian, Fang Dong, Yifan Zeng |
| 2025 | SC | Enabling Unstructured Sparse Fine-Tuning and Inference for Foundation Models on Wafer-Scale Engine. | Haoyu Zheng, Yifan Zeng, Linghao Song, Murali Emani, Wenqian Dong |
| 2024 | CIKM | Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System. | Xin Jiang, Kaiqiang Wang, Yinlong Wang, Fengchang Lv, Taiyang Peng, Shuai Yang, Xianteng Wu, Pengye Zhang, Shuo Yuan, Yifan Zeng |
| 2024 | CSCWD | SAFE: Intelligent Online Scheduling for Collaborative DNN Inference in Vehicular Network. | Ruiting Zhou, Ziyi Han, Yifan Zeng, Zhi Zhou, Libing Wu, Wei Wang |
| 2024 | IWQoS | Efficient Online DNN Inference with Continuous Learning in Edge Computing. | Yifan Zeng, Ruiting Zhou, Lei Jiao, Ziyi Han, Jieling Yu, Yue Ma |
| 2024 | KDD | Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising. | Shuai Yang, Hao Yang, Zhuang Zou, Linhe Xu, Shuo Yuan, Yifan Zeng |
| 2024 | WWW | A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model. | Hao Yang, Jianxin Yuan, Shuai Yang, Linhe Xu, Shuo Yuan, Yifan Zeng |
| 2023 | CIKM | Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction. | Hao Yang, Ziliang Wang, Weijie Bian, Yifan Zeng |
| 2023 | RecSys | LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation. | Dang Minh Nguyen, Chenfei Wang, Yan Shen, Yifan Zeng |
| 2021 | KDD | Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. | Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee |
| 2017 | KDD | Optimized Cost per Click in Taobao Display Advertising. | Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai |