Study on Weak Signal Detecting Technology in High-Temperature Superconducting Resistance Measurement. - Yifan Zeng; Yan Yang; Mingfu Jiang (ISCID (2), 2009)

Optimized Cost per Click in Taobao Display Advertising. - Han Zhu 001; Junqi Jin; Chang Tan; Fei Pan; Yifan Zeng; Han Li 005; Kun Gai (KDD, 2017)

High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors. - Siqi Wang; Gayathri Ananthanarayanan; Yifan Zeng; Neeraj Goel; Anuj Pathania; Tulika Mitra (CoRR, 2019)

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. - Chao Du; Yifan Zeng; Zhifeng Gao; Shuo Yuan; Lining Gao; Ziyan Li; Xiaoqiang Zhu; Jian Xu 015; Kun Gai (CoRR, 2020)

High-Throughput CNN Inference on Embedded ARM Big.LITTLE Multicore Processors. - Siqi Wang; Gayathri Ananthanarayanan; Yifan Zeng; Neeraj Goel; Anuj Pathania; Tulika Mitra (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

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 015; Kun Gai; Kuang-Chih Lee (KDD, 2021)

All-Optical Bi-Directional Polarization Demultiplexing for Self-Homodyne Coherent Detection. - Yizhao Chen; Xuefeng Wang; Yifan Zeng; Junda Chen; Weihao Li 007; Yao Zhang; Mingming Zhang; Can Zhao 002; Deming Liu; Ming Tang 005 (OFC, 2021)

Mach-Zehnder Interferometer based Endlessly Adaptive Polarization Controller on Silicon-Photonic Platform. - Xuefeng Wang; Yifan Zeng; Ruolin Liao; Can Zhao 002; Hao Wu 091; Ming Tang 005 (OFC, 2021)

Distributed Formation Control via Distributed Optimization. - Lijun Zhu 001; Yifan Zeng; Mengmou Li (ICCA, 2022)

Airspeed-Aided State Estimation Algorithm of Small Fixed-Wing UAVs in GNSS-Denied Environments. - Xiaoyu Ye; Yifan Zeng; Qinghua Zeng; Yijun Zou (Sensors, 2022)

i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments. - Yifan Zeng; Suiyi He; Han Hoang Nguyen; Yihan Li; Zhongyu Li 003; Koushil Sreenath; Jun Zeng 002 (CDC, 2023)

Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction. - Hao Yang 049; Ziliang Wang; Weijie Bian; Yifan Zeng (CIKM, 2023)

LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation. - Dang Minh Nguyen; Chenfei Wang; Yan Shen; Yifan Zeng (RecSys, 2023)

i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments. - Yifan Zeng; Suiyi He; Han Hoang Nguyen; Zhongyu Li 003; Koushil Sreenath; Jun Zeng 002 (CoRR, 2023)

MAFSIDS: a reinforcement learning-based intrusion detection model for multi-agent feature selection networks. - Kezhou Ren; Yifan Zeng; Yuanfu Zhong; Biao Sheng; Yingchao Zhang (J. Big Data, 2023)

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 (CIKM, 2024)

SAFE: Intelligent Online Scheduling for Collaborative DNN Inference in Vehicular Network. - Ruiting Zhou; Ziyi Han; Yifan Zeng; Zhi Zhou 006; Libing Wu; Wei Wang 030 (CSCWD, 2024)

Efficient Online DNN Inference with Continuous Learning in Edge Computing. - Yifan Zeng; Ruiting Zhou; Lei Jiao 002; Ziyi Han; Jieling Yu; Yue Ma (IWQoS, 2024)

Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising. - Shuai Yang; Hao Yang 049; Zhuang Zou; Linhe Xu; Shuo Yuan; Yifan Zeng (KDD, 2024)

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 (WWW (Companion Volume), 2024)

Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising. - Shuai Yang; Hao Yang; Zhuang Zou; Linhe Xu; Shuo Yuan; Yifan Zeng (CoRR, 2024)

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. - Yifan Zeng; Yiran Wu; Xiao Zhang; Huazheng Wang; Qingyun Wu (CoRR, 2024)

LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. - Yifan Zeng; Ojas Tendolkar; Raymond Baartmans; Qingyun Wu; Huazheng Wang; Lizhong Chen (CoRR, 2024)

TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. - Jiahao Qiu; Yifu Lu; Yifan Zeng; Jiacheng Guo; Jiayi Geng; Huazheng Wang; Kaixuan Huang; Yue Wu; Mengdi Wang (CoRR, 2024)

Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play. - Yifan Zeng (CoRR, 2024)

HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts - A Case Application of Yantie Lun. - Yifan Zeng (CoRR, 2024)

Memory-Augmented Agent Training for Business Document Understanding. - Jiale Liu; Yifan Zeng; Malte Højmark-Bertelsen; Marie Normann Gadeberg; Huazheng Wang; Qingyun Wu (CoRR, 2024)

Tropical cyclone ensemble forecast framework based on spatiotemporal model. - Tongfei Li; Kaihua Che; Jiadong Lu; Yifan Zeng; Wei Lv; Zhiyao Liang (Earth Sci. Informatics, 2024)

Online and Predictive Coordinated Cloud-Edge Scrubbing for DDoS Mitigation. - Ruiting Zhou; Yifan Zeng; Lei Jiao 002; Yi Zhong; Liujing Song (IEEE Trans. Mob. Comput., 2024)

A Federated Learning Network Intrusion Detection System for Multiple Imbalances. - Yifan Zeng; Peijia Zheng; Jian Li (ICASSP, 2025)

A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement. - Hui Yuan 002; Yifan Zeng; Yue Wu; Huazheng Wang; Mengdi Wang; Liu Leqi (ICLR, 2025)

Online Scheduling of Edge Multiple- Model Inference with DAG Structure and Retraining. - Yifan Zeng; Ruiting Zhou; Lei Jiao 002; Renli Zhang (INFOCOM, 2025)

Comparison of multiple methods for identifying water sources of mine water inrush and quantitative analysis of mixed water sources based on isotope theory. - Bo Li 107; Xin Xiang; Qiang Wu; Jiong Wang; Yifan Zeng; Tao Li (Earth Sci. Informatics, 2025)

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale. - Jiale Liu; Yifan Zeng; Shaokun Zhang; Chi Zhang; Malte Højmark-Bertelsen; Marie Normann Gadeberg; Huazheng Wang; Qingyun Wu (CoRR, 2025)

A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things. - Yifan Zeng (CoRR, 2025)

CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data. - Yifan Zeng (CoRR, 2025)

C2BNVAE: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing. - Yifan Zeng (CoRR, 2025)

QuantMCP: Grounding Large Language Models in Verifiable Financial Reality. - Yifan Zeng (CoRR, 2025)

SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. - Chelsi Jain; Yiran Wu; Yifan Zeng; Jiale Liu; S. hengyu Dai; Zhenwen Shao; Qingyun Wu; Huazheng Wang (CoRR, 2025)

Structuralist Approach to AI Literary Criticism: Leveraging Greimas Semiotic Square for Large Language Models. - Fangzhou Dong; Yifan Zeng; Yingpeng Sang; Hong Shen (CoRR, 2025)

IteraOptiRacing: A Unified Planning-Control Framework for Real-time Autonomous Racing for Iterative Optimal Performance. - Yifan Zeng; Yihan Li; Suiyi He; Koushil Sreenath; Jun Zeng 002 (CoRR, 2025)