| 2026 | AAAI | UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization. | Zhanhong Fang, Debing Wang, Jinbiao Chen, Jiahai Wang, Zizhen Zhang |
| 2026 | ACL | Chain-of-Relations: Faithful and Efficient LLM Reasoning over Knowledge Graphs via Relation-Centric Exploration. | Chenhui Liu, Jianpeng Zhou, Jiahai Wang |
| 2026 | ACL | GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs. | Meixiu Long, Duolin Sun, Dan Yang, Yihan Jiao, Lei Liu, Jiahai Wang, Binbin Hu, Yue Shen, Jie Feng, Zhehao Tan, Junjie Wang, Lianzhen Zhong, Jian Wang, Peng Wei, Jinjie Gu |
| 2026 | ACL | Policy-Guided Stepwise Action Planning for Controllable LLM Reasoning. | Jianpeng Zhou, Qisheng Hu, Jiahai Wang, Wenya Wang |
| 2026 | PPSN | Learning to Solve Complex Constrained Routing Problems with Feasibility-Guided Reward And Diversity-Guided Policy. | Yuanxu Yang, Zikang Yu, Jiahai Wang, Jieyi Bi, Jinbiao Chen, Zizhen Zhang |
| 2025 | ICLR | Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding. | Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong |
| 2025 | ICLR | Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion. | Jinbiao Chen, Jiahai Wang, Zhiguang Cao, Yaoxin Wu |
| 2025 | ICML | BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization. | Zijun Liao, Jinbiao Chen, Debing Wang, Zizhen Zhang, Jiahai Wang |
| 2025 | IJCNN | Geometry-Guided Behavior Pattern Adaptation for Trajectory Prediction in Unseen Scenes. | Yaqun Cui, Meixiu Long, Jinbiao Chen, Jianpeng Zhou, Siyuan Chen, Jiahai Wang |
| 2025 | WISE | Semantic-Guided Data Augmentation and Filtering for Sequential Recommendation. | Zitong Zhu, Meixiu Long, Jiahai Wang |
| 2024 | ADMA | Sequential Recommendation with Diverse Supervised Contrastive Views. | Zitong Zhu, Meixiu Long, Junfa Lin, Jiahai Wang |
| 2024 | IJCNN | ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification. | Zhifeng Wu, Xiaohui Li, Luning Wang, Shendi Wang, Yufei Cui, Jiahai Wang |
| 2024 | SMC | Neural Model Embedded Heuristics for Robust Traveling Salesman Problem with Interval Uncertainty. | Pei Xiao, Zizhen Zhang, Jinbiao Chen, Jiahai Wang |
| 2023 | ACL | RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks. | Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su, Jiahai Wang |
| 2023 | ACL | Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. | Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan |
| 2023 | EMNLP | Democratizing Reasoning Ability: Tailored Learning from Large Language Model. | Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang, Minghui Song, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2023 | IJCNN | Diversity-Enhanced Recommendation with Knowledge-Aware Devoted and Diverse Interest Learning. | Junfa Lin, Jiahai Wang |
| 2023 | PAKDD | Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control. | Xin Du, Jiahai Wang, Siyuan Chen |
| 2022 | COLING | UECA-Prompt: Universal Prompt for Emotion Cause Analysis. | Xiaopeng Zheng, Zhiyue Liu, Zizhen Zhang, Zhaoyang Wang, Jiahai Wang |
| 2022 | DASFAA | Graph Neural Networks with Dynamic and Static Representations for Social Recommendation. | Junfa Lin, Siyuan Chen, Jiahai Wang |
| 2022 | ICANN | A Coarse-to-Fine Training Paradigm for Dialogue Summarization. | Zhiyue Liu, Zhaoyang Wang, Jiahai Wang |
| 2022 | IJCAI | Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. | Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan |
| 2022 | IJCNN | Edge-based Formulation with Graph Attention Network for Practical Vehicle Routing Problem with Time Windows. | Yongxin Zhang, Jiahai Wang, Zizhen Zhang |
| 2022 | NAACL | ProQA: Structural Prompt-based Pre-training for Unified Question Answering. | Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan |
| 2022 | NAACL | Analytical Reasoning of Text. | Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan |
| 2022 | PPSN | Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows. | Jinbiao Chen, Huanhuan Huang, Zizhen Zhang, Jiahai Wang |
| 2022 | SMC | Weight-Specific-Decoder Attention Model to Solve Multiobjective Combinatorial Optimization Problems. | Te Ye, Zizhen Zhang, Jinbiao Chen, Jiahai Wang |
| 2022 | SMC | Solving Quadratic Traveling Salesman Problem with Deep Reinforcement Learning. | Hang Zhang, Zizhen Zhang, Jinbiao Chen, Jiahai Wang |
| 2021 | AAAI | Neural Relational Inference with Efficient Message Passing Mechanisms. | Siyuan Chen, Jiahai Wang, Guoqing Li |
| 2021 | ACL | UserAdapter: Few-Shot User Learning in Sentiment Analysis. | Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan Duan |
| 2021 | DASFAA | A Semi-supervised Framework with Efficient Feature Extraction and Network Alignment for User Identity Linkage. | Zehua Hu, Jiahai Wang, Siyuan Chen, Xin Du |
| 2021 | IJCNN | A Cooperative Framework with Generative Adversarial Networks and Entropic Auto-Encoders for Text Generation. | Zhiyue Liu, Jiahai Wang |
| 2021 | IJCNN | MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization. | Yongxin Zhang, Jiahai Wang, Zizhen Zhang, Yalan Zhou |
| 2021 | SMC | Solving Time-Dependent Traveling Salesman Problem with Time Windows with Deep Reinforcement Learning. | Guojin Wu, Zizhen Zhang, Hong Liu, Jiahai Wang |
| 2020 | AAAI | CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation. | Zhiyue Liu, Jiahai Wang, Zhiwei Liang |
| 2020 | ACL | LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. | Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin |
| 2020 | ACL | Reasoning Over Semantic-Level Graph for Fact Checking. | Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin |
| 2020 | COLING | Multi-choice Relational Reasoning for Machine Reading Comprehension. | Wuya Chen, Xiaojun Quan, Chunyu Kit, Zhengcheng Min, Jiahai Wang |
| 2020 | ECAI | A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage. | Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu |
| 2020 | EMNLP | Neural Deepfake Detection with Factual Structure of Text. | Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin |
| 2020 | PAKDD | Fusion-Extraction Network for Multimodal Sentiment Analysis. | Tao Jiang, Jiahai Wang, Zhiyue Liu, Yingbiao Ling |
| 2019 | ICANN | Targeted Sentiment Classification with Attentional Encoder Network. | Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao |
| 2019 | IJCNN | A Position-aware Transformation Network for Aspect-level Sentiment Classification. | Tao Jiang, Jiahai Wang, Youwei Song, Yanghui Rao |
| 2019 | ICTAI | Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs. | Tongwen Wu, Zizhen Zhang, Yanzhi Li, Jiahai Wang |
| 2009 | ISNN | Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem. | Yiqiao Cai, Jiahai Wang, Jian Yin, Caiwei Li, Yunong Zhang |
| 2008 | CEC | Discrete quantum-behaved particle swarm optimization based on estimation of distribution for combinatorial optimization. | Jiahai Wang, Yunong Zhang, Yalan Zhou, Jian Yin |
| 2008 | ICNC | A Hopfield-Type Neural Network for Haplotype Assembly Problem. | Xinshun Xu, Jun Ma, Jiahai Wang |
| 2008 | ICNC | A Self-Organizing Map Algorithm for the Traveling Salesman Problem. | Xinshun Xu, Zhiping Jia, Jun Ma, Jiahai Wang |
| 2008 | IJCNN | MATLAB Simulink modeling and simulation of Zhang neural networks for online time-varying sylvester equation solving. | Weimu Ma, Yunong Zhang, Jiahai Wang |
| 2007 | GECCO | Hybrid quantum particle swarm optimization algorithm for combinatorial optimization problem. | Jiahai Wang, Yalan Zhou |
| 2007 | ICNC | A Discrete Estimation of Distribution Particle Swarm Optimization for Combinatorial Optimization Problems. | Yalan Zhou, Jiahai Wang, Jian Yin |
| 2007 | ISNN | A Hybrid of Particle Swarm Optimization and Hopfield Networks for Bipartite Subgraph Problems. | Jiahai Wang |
| 2004 | ISNN | An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem. | Xiaoming Chen, Zheng Tang, Xinshun Xu, Songsong Li, Guangpu Xia, Jiahai Wang |
| 2004 | ISNN | A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem. | Yong Li, Zheng Tang, Rong Long Wang, Guangpu Xia, Jiahai Wang |
| 2004 | ISNN | A New Neural Network Algorithm for Clique Vertex-Partition Problem. | Jiahai Wang, Xinshun Xu, Zheng Tang, Weixing Bi, Xiaoming Chen, Yong Li |
| 2004 | ISNN | A New Parallel Improvement Algorithm for Maximum Cut Problem. | Guangpu Xia, Zheng Tang, Jiahai Wang, Rong Long Wang, Yong Li, Guangan Xia |
| 2004 | ISNN | A Method to Improve the Transiently Chaotic Neural Network. | Xinshun Xu, Jiahai Wang, Zheng Tang, Xiaoming Chen, Yong Li, Guangpu Xia |