| 2026 | ACL | ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry. | Jinwei Zhang, Xucheng Liang, Yu Zhang, Ruijie Yu, Xiaokang Yang, Yaohui Jin, Yanyan Xu |
| 2025 | ACL | ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data. | Yu Zhang, Ruijie Yu, Jidong Tian, Feng Zhu, Jiapeng Liu, Xiaokang Yang, Yaohui Jin, Yanyan Xu |
| 2025 | CogSci | Enhancing Objectivity in LLM-as-a-Judge through Perturbation Injection. | Zhihao Zhu, Haoran Liao, Yaohui Jin |
| 2025 | CogSci | FD-Bench: Fine-Grained Evaluating the Decision-Making Capability of LLM Agents in Dynamic Scenarios. | Zhihao Zhu, Yifan Zheng, Yaohui Jin |
| 2025 | EMNLP | MultiConIR: Towards Multi-Condition Information Retrieval. | Xuan Lu, Sifan Liu, Bochao Yin, Yongqi Li, Xinghao Chen, Hui Su, Yaohui Jin, Wenjun Zeng, Xiaoyu Shen |
| 2025 | ICASSP | TopoRefine: Iterative Refinement with Reasoning Topology as High-Level Feedback. | Haoran Liao, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin |
| 2025 | ICASSP | Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models. | Haoran Liao, Jidong Tian, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin |
| 2025 | ICASSP | Faithful Self-Refinement in Mathematical Reasoning via Progressive Back-Translation. | Haoran Liao, Zhihao Zhu, Shaohua Hu, Hao He, Yaohui Jin |
| 2025 | ICCV | Context Guided Transformer Entropy Modeling for Video Compression. | Junlong Tong, Wei Zhang, Yaohui Jin, Xiaoyu Shen |
| 2025 | ICCV | PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation. | Zhihao Zhu, Yifan Zheng, Siyu Pan, Yaohui Jin, Yao Mu |
| 2025 | ICLR | KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics. | Jindou Chen, Jidong Tian, Liang Wu, ChenXinWei, Xiaokang Yang, Yaohui Jin, Yanyan Xu |
| 2025 | NAACL | Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models. | Haoran Liao, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin |
| 2025 | WWW | Unified and Generalizable Reinforcement Learning for Facility Location Problems on Graphs. | Wenxuan Guo, Runzhong Wang, Yanyan Xu, Yaohui Jin |
| 2024 | AAAI | Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis. | Caoyun Fan, Jindou Chen, Yaohui Jin, Hao He |
| 2024 | CogSci | Self-Hint Prompting Improves Zero-shot Reasoning in Large Language Models via Reflective Cycle. | Jindou Chen, Jidong Tian, Yaohui Jin |
| 2024 | ICASSP | Comparable Demonstrations Are Important In In-Context Learning: A Novel Perspective On Demonstration Selection. | Caoyun Fan, Jidong Tian, Yitian Li, Hao He, Yaohui Jin |
| 2023 | AAAI | Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation. | Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He, Yaohui Jin |
| 2023 | AAAI | Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry. | Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He, Yaohui Jin |
| 2023 | ACL | MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning. | Yitian Li, Jidong Tian, Caoyun Fan, Wenqing Chen, Hao He, Yaohui Jin |
| 2023 | EMNLP | Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task. | Chunhui Du, Jidong Tian, Haoran Liao, Jindou Chen, Hao He, Yaohui Jin |
| 2023 | EMNLP | Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding. | Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin |
| 2023 | ICASSP | Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough. | Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin |
| 2022 | AAAI | Weakly Supervised Neural Symbolic Learning for Cognitive Tasks. | Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin |
| 2022 | ACCV | MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning. | Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin |
| 2022 | COLING | To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning. | Yitian Li, Jidong Tian, Wenqing Chen, Caoyun Fan, Hao He, Yaohui Jin |
| 2022 | Interspeech | Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset. | Zehui Yang, Yifan Chen, Lei Luo, Runyan Yang, Lingxuan Ye, Gaofeng Cheng, Ji Xu, Yaohui Jin, Qingqing Zhang, Pengyuan Zhang, Lei Xie, Yonghong Yan |
| 2021 | AAAI | Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. | Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian |
| 2021 | ACL | De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation. | Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin |
| 2021 | EMNLP | Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI. | Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin |
| 2021 | EMNLP | End-to-End Conversational Search for Online Shopping with Utterance Transfer. | Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martnez-Gmez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin |
| 2021 | ICANN | Learning Hierarchical Reasoning for Text-Based Visual Question Answering. | Caiyuan Li, Qinyi Du, Qingqing Wang, Yaohui Jin |
| 2021 | IJCAI | Dependent Multi-Task Learning with Causal Intervention for Image Captioning. | Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin |
| 2020 | AAAI | Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. | Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin |
| 2020 | COLING | A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation. | Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin |
| 2020 | EMNLP | Exploring Logically Dependent Multi-task Learning with Causal Inference. | Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin |
| 2020 | EMNLP | Modeling Content Importance for Summarization with Pre-trained Language Models. | Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin |
| 2019 | IJCAI | Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. | Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin |
| 2019 | IJCAI | TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. | Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin |
| 2019 | PRICAI | Differential Privacy with Variant-Noise for Gaussian Processes Classification. | Zhili Xiong, Longyuan Li, Junchi Yan, Haiyang Wang, Hao He, Yaohui Jin |
| 2018 | COLING | Learning What to Share: Leaky Multi-Task Network for Text Classification. | Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin |
| 2018 | EMNLP | MCapsNet: Capsule Network for Text with Multi-Task Learning. | Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin |
| 2018 | EMNLP | Multi-Task Label Embedding for Text Classification. | Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin |
| 2018 | IJCAI | Transformable Convolutional Neural Network for Text Classification. | Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin |
| 2018 | IJCAI | Generative Warfare Nets: Ensemble via Adversaries and Collaborators. | Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin |
| 2017 | APWEB | A Local-Global LDA Model for Discovering Geographical Topics from Social Media. | Siwei Qiang, Yongkun Wang, Yaohui Jin |
| 2017 | IJCAI | A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning. | Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin |
| 2016 | NOMS | Netography: Troubleshoot your network with packet behavior in SDN. | Yusu Zhao, Pengfei Zhang, Yaohui Jin |
| 2016 | UIC | Discovering Mass Activities Using Anomalies in Individual Mobility Motifs. | Zhenhuan Li, Haiyang Wang, Xiaming Chen, Yongkun Wang, Yaohui Jin, Wenjun Zhang |
| 2016 | UIC | Early Warning of City-Scale Unusual Social Event on Public Transportation Smartcard Data. | Haiyang Wang, Xiaming Chen, Siwei Qiang, Honglun Zhang, Yongkun Wang, Jianyong Shi, Yaohui Jin |
| 2015 | IM | Intelligent timeout master: Dynamic timeout for SDN-based data centers. | Huikang Zhu, Hongbo Fan, Xuan Luo, Yaohui Jin |
| 2014 | ICPADS | NICE: Network-aware VM Consolidation scheme for Energy Conservation in Data Centers. | Bo Cao, Xiaofeng Gao, Guihai Chen, Yaohui Jin |
| 2013 | GLOBECOM | On precision and scalability of elephant flow detection in data center with SDN. | Conghui Bi, Xuan Luo, Tong Ye, Yaohui Jin |
| 2013 | Networking | ReSurf: Reconstructing web-surfing activity from network traffic. | Guowu Xie, Marios Iliofotou, Thomas Karagiannis, Michalis Faloutsos, Yaohui Jin |
| 2011 | APNOMS | Combining sFlow and Tracker traffic analysis: A novel estimation approach for network-wide BitTorrent distribution. | Wei Ye, Xuan Luo, Rui Xie, Haibin Zhang, Kaida Jiang, Yaohui Jin |
| 2009 | GLOBECOM | On the Efficiency of Inter-Domain State Advertising in Multi-Domain Networks. | Ying Di Yu, Yaohui Jin, Weiqiang Sun, Wei Guo, Weisheng Hu |
| 2008 | CCGRID | Fault-Tolerant Policy for Optical Network Based Distributed Computing System. | Zhenyu Sun, Wei Guo, Yaohui Jin, Weiqiang Sun, Weisheng Hu |
| 2008 | GLOBECOM | Nonblocking Multicast-Capable Optical Cross Connects Based on the 4-Stage Multicast Network. | Fangfang Yan, Weisheng Hu, Weiqiang Sun, Wei Guo, Yaohui Jin |
| 2005 | GLOBECOM | On topology-independent IP group aggregation in multicast capable optical networks. | Yi Zhu, Yaohui Jin, Weiqiang Sun, Wei Guo, Weisheng Hu |
| 2005 | ICNC | A Genetic Algorithm of High-Throughput and Low-Jitter Scheduling for Input-Queued Switches. | Yaohui Jin, Jingjing Zhang, Weisheng Hu |