| 2026 | ACL | C³D: Enhancing LLM Reasoning via Confidence-Guided Contrastive Decoding. | Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, Jinqiao Wang |
| 2026 | FM | Selective Concolic Testing. | Guofeng Zhang, Zhenbang Chen, Ziqi Shuai, Jun Sun, Weijiang Hong, Yufeng Zhang, Ji Wang, Yang Liu |
| 2025 | AAAI | Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns. | Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, Jinqiao Wang |
| 2025 | ACL | DavIR: Data Selection via Implicit Reward for Large Language Models. | Haotian Zhou, Tingkai Liu, Qianli Ma, Yufeng Zhang, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang |
| 2025 | AISTATS | What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. | Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang |
| 2025 | APWEB | CPT: Competence-Progressive Training Strategy for Few-Shot Node Classification. | Qilong Yan, Yufeng Zhang, Jinghao Zhang, Jingpu Duan, Jian Yin |
| 2025 | COLING | Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning. | Ziqi Qiu, Jianxing Yu, Yufeng Zhang, Hanjiang Lai, Yanghui Rao, Qinliang Su, Jian Yin |
| 2025 | COMPSAC | LSFuzz: Learning Adaptive Seed Selection Strategies for Fuzzing. | Mingqian Xiao, Yufeng Zhang, Zhenbang Chen |
| 2025 | ICCV | MCOP: Multi-UAV Collaborative Occupancy Prediction. | Zefu Lin, Wenbo Chen, Xiaojuan Jin, Yuran Yang, Lue Fan, Yixin Zhang, Yufeng Zhang, Zhaoxiang Zhang |
| 2025 | ICML | Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. | Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang |
| 2025 | ISCAS | Efficient Lossless Compression with Distribution Quantized Finite-State Autoregressive Model. | Yufeng Zhang, Yuxuan Li, Carl James Debono, Weiyao Lin |
| 2025 | VTC | Prototype Filter Optimization for FBMC/QAM in Spectrally-Constrained LAE Networks. | Defeng Ren, Rongchang Jing, Jia Lu, Yufeng Zhang, Bo Ma |
| 2024 | ACL | Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning. | Yufeng Zhang, Jianxing Yu, Yanghui Rao, Libin Zheng, Qinliang Su, Huaijie Zhu, Jian Yin |
| 2024 | ADC | Maximum Weight Relative Fair Clique Computation in Attributed Graphs. | Yijia Mi, Yongye Li, Yufeng Zhang, Chen Chen, Ying Zhang |
| 2024 | CSCWD | Threshold Detection of Cloud Computing System with Impatient Users Based on Game Theory. | Wenlong Ni, Yufeng Zhang |
| 2024 | CVPR | Super-resolution of biomedical volumes with 2D supervision. | Cheng Jiang, Alexander Gedeon, Yiwei Lyu, Eric Landgraf, Yufeng Zhang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Honglak Lee, Todd C. Hollon |
| 2024 | ECCV | BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression. | Yufeng Zhang, Hang Yu, Shizhan Liu, Wenrui Dai, Weiyao Lin |
| 2024 | HPCC | SRFL-DP: A Rapid and Efficient Solution for Single-Row Facility Layout Optimization. | Baixuan Wu, Yufeng Zhang, Zheng Xiao, Kenli Li |
| 2024 | ICDE | Inductive Link Prediction for Sequential-emerging Knowledge Graph. | Yufeng Zhang, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao |
| 2024 | ICLR | Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression. | Yufeng Zhang, Hang Yu, Jianguo Li, Weiyao Lin |
| 2024 | ICWS | A Framework for QoS of Integration Testing in Satellite Edge Clouds. | Guogen Zeng, Juan Luo, Yufeng Zhang, Ying Qiao, Shuyang Teng |
| 2023 | ADC | Efficient Maximum Relative Fair Clique Computation in Attributed Graphs. | Yufeng Zhang, Shiyuan Liu, Yanping Wu, Lu Qin, Ying Zhang |
| 2023 | ADMA | Discovery of Emotion Implicit Causes in Products Based on Commonsense Reasoning. | Qiutong Guo, Jianxing Yu, Yufeng Zhang, Haowei Jiang, Wei Liu, Jian Yin |
| 2023 | APSEC | Symbolic Execution of MPI Programs with One-Sided Communications. | Nenghui Hu, Zheng Bian, Ziqi Shuai, Zhenbang Chen, Yufeng Zhang |
| 2023 | APSEC | Unsatisfiable Core Based Constraint Solving Cache in Symbolic Execution. | Ziqi Shuai, Zhenbang Chen, Yufeng Zhang, Hengbiao Yu, Ji Wang |
| 2023 | ECAI | IPERS: Individual Prioritized Experience Replay with Subgoals for Sparse Reward Multi-Agent Reinforcement Learning. | Zaipeng Xie, Yufeng Zhang, Chentai Qiao, Sitong Shen |
| 2023 | ICDE | Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. | Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao |
| 2023 | ICDM | Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge. | Yufeng Zhang, Mengxiang Wang, Jianxing Yu |
| 2023 | ICIG | Edge-Guided Interpretable Neural Network for Image Compressive Sensing Reconstruction. | Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang |
| 2023 | IPIN | Recent Advances in Positioning Technology of GH-LPS in Challenging Environments. | Zhijun Meng, Xiaoyu Li, Yufeng Zhang, Kai Liu, Xiye Guo, Jun Yang |
| 2023 | SMC | Federated Learning with Common Representation Learning Criterion and Personalized Predictor. | Wenzhong Wang, Zaipeng Xie, Bingzhe Yu, Zhihao Qu, Yufeng Zhang, Hongli Cao |
| 2023 | RV | CCMOP: A Runtime Verification Tool for C/C++ Programs. | Yongchao Xing, Zhenbang Chen, Shibo Xu, Yufeng Zhang |
| 2022 | APSEC | Synergizing Symbolic Execution and Fuzzing By Function-level Selective Symbolization. | Guofeng Zhang, Zhenbang Chen, Ziqi Shuai, Yufeng Zhang, Ji Wang |
| 2022 | CBMS | Ultrasonic Carotid Blood Flow Velocimetry Based on Deep Complex Neural Network. | Jian Lei, Xun Lang, Bingbing He, Songhua Liu, Hao Tan, Yufeng Zhang |
| 2022 | ICML | Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. | Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICML | Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. | Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang |
| 2022 | ICTAI | QDN: An Efficient Value Decomposition Method for Cooperative Multi-agent Deep Reinforcement Learning. | Zaipeng Xie, Yufeng Zhang, Pengfei Shao, Weiyi Zhao |
| 2021 | AAAI | A Graph-based Relevance Matching Model for Ad-hoc Retrieval. | Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang |
| 2021 | AISTATS | Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case. | Yufeng Zhang, Zhuoran Yang, Zhaoran Wang |
| 2021 | CIKM | Deep Active Learning for Text Classification with Diverse Interpretations. | Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu |
| 2021 | CIKM | Relation-aware Heterogeneous Graph for User Profiling. | Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang |
| 2021 | CIKM | Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding. | Yufeng Zhang, Weiqing Wang, Wei Chen, Jiajie Xu, An Liu, Lei Zhao |
| 2021 | ICML | Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. | Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang |
| 2021 | ISNCC | Tuning of Deep Neural Networks for Over-The-Air Linearization of Highly Nonlinear Wide-Band Active Phased Arrays. | Feridoon Jalili, Yufeng Zhang, Felice Francesco Tafuri, Ole Kiel Jensen, Yunfeng Li, Qingyue Chen, Ming Shen, Gert Frlund Pedersen |
| 2021 | ISSRE | A Runtime Monitoring Based Fuzzing Framework for Temporal Properties. | Jinjian Luo, Meixi Liu, Yunlai Luo, Zhenbang Chen, Yufeng Zhang |
| 2021 | ISSTA | Synthesize solving strategy for symbolic execution. | Zhenbang Chen, Zehua Chen, Ziqi Shuai, Guofeng Zhang, Weiyu Pan, Yufeng Zhang, Ji Wang |
| 2021 | ISSTA | Grammar-agnostic symbolic execution by token symbolization. | Weiyu Pan, Zhenbang Chen, Guofeng Zhang, Yunlai Luo, Yufeng Zhang, Ji Wang |
| 2021 | ISSTA | Type and interval aware array constraint solving for symbolic execution. | Ziqi Shuai, Zhenbang Chen, Yufeng Zhang, Jun Sun, Ji Wang |
| 2020 | ACL | Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. | Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang |
| 2020 | ICML | Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate. | Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang |
| 2019 | CVPR | Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations. | Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma |
| 2019 | IROS | Adaptive Assist-as-needed Control Based on Actor-Critic Reinforcement Learning. | Yufeng Zhang, Shuai Li, Karen J. Nolan, Damiano Zanotto |
| 2015 | CogSci | No One Left Behind: How Social Distance Affects Life-Saving Decision Making. | Yufeng Zhang, Haotian Zhou, Mo Luan, Hong Li |
| 2015 | ICSE | Regular Property Guided Dynamic Symbolic Execution. | Yufeng Zhang, Zhenbang Chen, Ji Wang, Wei Dong, Zhiming Liu |
| 2012 | CBMS | Estimating vertebral orientation from biplanar radiography based on contour matching. | Junhua Zhang, Jun Wu, Xinling Shi, Yufeng Zhang |
| 2012 | ISSRE | Speculative Symbolic Execution. | Yufeng Zhang, Zhenbang Chen, Ji Wang |
| 2011 | COMPSAC | An Intelligent Broker Approach to Semantics-Based Service Composition. | Yufeng Zhang, Hong Zhu |
| 2008 | ICST | Testing Java Components based on Algebraic Specifications. | Bo Yu, Liang Kong, Yufeng Zhang, Hong Zhu |
| 2006 | WISE | Web Content Mining for Market Intelligence Acquiring from B2C Websites. | Danxiang Ai, Yufeng Zhang, Hui Zuo, Quan Wang |