| 2026 | ACL | EvoNarrator: Modeling Scientific Evolution for Feasible Hypothesis Generation. | Xiaoying Le, Pengfei Qian, Yuanzhao Zhai, Xu Zhang, Qian Liu, Dawei Feng, Bo Ding |
| 2026 | ICPR | Diagnosing LLM Benchmark: A Psychometric Analysis of Difficulty and Discrimination. | Jiacheng Qin, Xu Zhang, Dawei Feng, Bo Ding, Yuanzhao Zhai |
| 2025 | AAAI | Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models. | Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang |
| 2025 | CVPR | Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning. | Zijian Gao, Wangwang Jia, Xingxing Zhang, Dulan Zhou, Kele Xu, Dawei Feng, Yong Dou, Xinjun Mao, Huaimin Wang |
| 2025 | ICASSP | Scaling Bioacoustic Signal Pre-training with Million Samples Via Mask-Modeling. | Xuyao Deng, Tianjiao Wan, Kele Xu, Tian Gao, Peng Qiao, Dawei Feng, Yong Dou |
| 2025 | ICASSP | Complementary Learning System Theory-based Active Learning for Audio Classification. | Hui Geng, Zijian Gao, Tianjiao Wan, Dawei Feng, Changjian Wang, Kele Xu |
| 2025 | ICCAD | Open3DFlow: An Open-Source EDA Platform for 3D Chip Design with AI Enhancement. | Yifei Zhu, Dawei Feng, Zhenxuan Luan, Lei Ren, Weiwei Chen, Zhangxi Tan |
| 2025 | ICLR | VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems. | Xudong Gong, Dawei Feng, Kele Xu, Weijia Wang, Zhangjun Sun, Xing Zhou, Si Zheng, Bo Ding, Huaimin Wang |
| 2025 | ICML | Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning. | Xudong Gong, Sen Yang, Dawei Feng, Kele Xu, Bo Ding, Huaimin Wang, Yong Dou |
| 2025 | ICPADS | GRACE: Graph-Adapted Case-Augmented Execution for Tool Use in Large Language Models. | Tong Lin, Yuanzhao Zhai, Dawei Feng, Bo Ding |
| 2025 | ICRA | V-Pilot: A Velocity Vector Control Agent for Fixed-Wing UAVs from Imperfect Demonstrations. | Xudong Gong, Dawei Feng, Kele Xu, Xing Zhou, Si Zheng, Bo Ding, Huaimin Wang |
| 2025 | SIGIR | Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models. | Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang |
| 2025 | SIGIR | Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training. | Yuanzhao Zhai, Huanxi Liu, Zhuo Zhang, Tong Lin, Kele Xu, Cheng Yang, Dawei Feng, Bo Ding, Huaimin Wang |
| 2024 | AAAI | Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. | Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang |
| 2024 | ICASSP | Nuclear-Norm Maximization for Low-Rank Updates. | Huanxi Liu, Yuanzhao Zhai, Kele Xu, Dawei Feng, Yiying Li |
| 2024 | ICASSP | Temporal Inconsistency-Based Active Learning. | Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang |
| 2024 | ICASSP | Transformer-Inspired Lightweight Model for Efficient Time Series Forecasting. | Xu Wang, Kele Xu, Ting Yu, Bo Ding, Dawei Feng |
| 2024 | ICML | Iterative Regularized Policy Optimization with Imperfect Demonstrations. | Xudong Gong, Dawei Feng, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang |
| 2024 | ISPA | Think Before Acting: The Necessity of Endowing Robot Terminals With the Ability to Fine-Tune Reinforcement Learning Policies. | Dawei Feng, Xudong Gong, Xunhui Zhang, Jun Fu |
| 2023 | ICASSP | Complementary Learning System Based Intrinsic Reward in Reinforcement Learning. | Zijian Gao, Kele Xu, Hongda Jia, Tianjiao Wan, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang |
| 2023 | ICASSP | Progressive Diversifying Policy for Multi-Agent Reinforcement Learning. | Shaoqi Sun, Yuanzhao Zhai, Kele Xu, Dawei Feng, Bo Ding |
| 2023 | ICASSP | Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization. | Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang |
| 2023 | ICONIP | Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning. | Yanqiang Zhang, Dawei Feng, Bo Ding |
| 2022 | ICASSP | FINT: Field-Aware Interaction Neural Network for Click-Through Rate Prediction. | Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng, Kele Xu |
| 2022 | ICTAI | Exploring Policy Diversity in Parallel Actor-Critic Learning. | Yanqiang Zhang, Yuanzhao Zhai, Gongqian Zhou, Bo Ding, Dawei Feng, Songwang Liu |
| 2021 | EMNLP | Diversity and Consistency: Exploring Visual Question-Answer Pair Generation. | Sen Yang, Qingyu Zhou, Dawei Feng, Yang Liu, Chao Li, Yunbo Cao, Dongsheng Li |
| 2021 | HPCC | Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision. | Yong Zhao, Yuanzhao Zhai, Jie Luo, Dawei Feng, Bo Ding, Zhen Li |
| 2021 | ICTAI | EAD: An Efficient Anomaly Detection Algorithm for Multivariate Time Series. | Dehong Ma, Bo Ding, Dawei Feng, Hui Liu |
| 2020 | HPCC | Ranked Communication Channel Confidence for Multi-Agent Reinforcement Learning. | Dongzi Wang, Mingyang Geng, Bo Ding, Dawei Feng |
| 2020 | ICPADS | Decentralized Exploration of a Structured Environment Based on Multi-agent Deep Reinforcement Learning. | Dingjie He, Dawei Feng, Hongda Jia, Hui Liu |
| 2020 | KSEM | Improving Policy Generalization for Teacher-Student Reinforcement Learning. | Xudong Gong, Hongda Jia, Xing Zhou, Dawei Feng, Bo Ding, Jie Xu |
| 2019 | ACL | Exploring Pre-trained Language Models for Event Extraction and Generation. | Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li |
| 2019 | ICASSP | Denoising Convolutional Autoencoder Based B-mode Ultrasound Tongue Image Feature Extraction. | Bo Li, Kele Xu, Dawei Feng, Haibo Mi, Huaimin Wang, Jian Zhu |
| 2019 | IJCAI | A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model. | Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun |
| 2019 | KSEM | A Distributed Topic Model for Large-Scale Streaming Text. | Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li |
| 2019 | KSEM | Correction to: A Distributed Topic Model for Large-Scale Streaming Text. | Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li |
| 2018 | IJCNN | Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. | Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li |
| 2018 | PKAW | Sample Dropout for Audio Scene Classification Using Multi-scale Dense Connected Convolutional Neural Network. | Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou |
| 2016 | IJCNN | A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees. | Yaozheng Wang, Dawei Feng, Dongsheng Li, Xinyuan Chen, Yunxiang Zhao, Xin Niu |
| 2012 | CCGRID | Distributed Monitoring with Collaborative Prediction. | Dawei Feng, Ccile Germain-Renaud, Tristan Glatard |