| 2026 | ACL | EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning. | Jiawei Liu, Qisi Chen, Jianshu Zhang, Quan Liu, Defu Lian |
| 2026 | ACL | Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning. | Fei Wu, Zhenrong Zhang, Qikai Chang, Jianshu Zhang, Quan Liu, Jun Du |
| 2026 | ISKE | Enhancing Adversarial Transferability by Attention Center Shuffle and Mask. | Quan Liu, Feng Ye, Chenhao Lu, Shumin Zeng, Guangliang Huang, Runze Chen, Xudong Ke |
| 2025 | AAAI | Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision. | Kangsheng Yin, Quan Liu, Xuelin Shen, Yulin He, Wenhan Yang, Shiqi Wang |
| 2025 | ACL | RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation. | Shi-Qi Yan, Quan Liu, Zhen-Hua Ling |
| 2025 | ICASSP | Improved Techniques for Offline Reinforcement Learning: Advantage Value Estimation and Layernorm. | Xiaosong Liu, Quan Liu, Lan Wu |
| 2025 | ICASSP | Diverse Collaboration in Multi-Agent Reinforcement Learning via Self-Adaptive Method. | Xiang Xue, Quan Liu, Meilong Shi, Yuchao Jin |
| 2025 | ICCBR | Offline-to-Online: Case-Based Knowledge Distillation with Large Language Models for Reinforcement Learning. | Hongzhe Liu, Quan Liu, Lan Wu, Meilong Shi, Zhiming Cui |
| 2025 | ICLR | LLM Unlearning via Loss Adjustment with Only Forget Data. | Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei |
| 2025 | INFOCOM | Prism: Mining Task-aware Domains in Non-i.i.d. IMU Data for Flexible User Perception. | Yunzhe Li, Facheng Hu, Hongzi Zhu, Quan Liu, Xiaoke Zhao, Jiangang Shen, Shan Chang, Minyi Guo |
| 2025 | IROS | Optimized Optical Fiber Sensors for Forearm Muscle Deformation Monitoring and Hand Motion Recognition. | Heifu Liu, Qingsong Ai, Nian Peng, Quan Liu, Wei Meng |
| 2024 | CVPR | PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. | Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo |
| 2024 | CVPR | Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension. | Quan Liu, Hongzi Zhu, Zhenxi Wang, Yunsong Zhou, Shan Chang, Minyi Guo |
| 2024 | EMNLP | Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions. | Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su |
| 2024 | ICASSP | Offline Reinforcement Learning with Policy Guidance and Uncertainty Estimation. | Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang |
| 2024 | ICASSP | Offline Reinforcement Learning with Generative Adversarial Networks and Uncertainty Estimation. | Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang |
| 2024 | ICASSP | Offline Reinforcement Learning Based on Next State Supervision. | Jie Yan, Quan Liu, Lihua Zhang |
| 2024 | IJCNN | Multi-Agent Self-Motivated Learning via Role Representation. | Yuchao Jin, Quan Liu |
| 2024 | INFOCOM | LoRaPCR: Long Range Point Cloud Registration through Multi-hop Relays in VANETs. | Zhenxi Wang, Hongzi Zhu, Yunxiang Cai, Quan Liu, Shan Chang, Liang Zhang |
| 2024 | IGARSS | Machine Learning Analysis of CYGNSS Data for Chlorophyll Concentration Monitoring in Algal Blooms. | Yan Jia, Quan Liu, Heng Yu, Yan Lv, Zhen Wu, Shuanggen Jin, Fabio Peinetti, Patrizia Savi |
| 2024 | MICCAI | HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. | Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo |
| 2024 | MICCAI | Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI. | Tianyuan Yao, Derek B. Archer, Zhiyuan Li, Leon Y. Cai, Praitayini Kanakaraj, Nancy Newlin, Quan Liu, Ruining Deng, Can Cui, Shunxing Bao, Kurt Schilling, Bennett A. Landman, Yuankai Huo |
| 2024 | SMC | Balanced Subgoals Generation in Hierarchical Reinforcement Learning. | Sifeng Tong, Quan Liu |
| 2023 | ACL | GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding. | Jia-Chen Gu, Zhenhua Ling, Quan Liu, Cong Liu, Guoping Hu |
| 2023 | CVPR | MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer. | Yunsong Zhou, Hongzi Zhu, Quan Liu, Shan Chang, Minyi Guo |
| 2023 | ECAI | Exploration and Exploitation in Hierarchical Reinforcement Learning with Adaptive Scheduling. | Zhigang Huang, Quan Liu |
| 2023 | EMNLP | MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. | Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu |
| 2023 | ICASSP | Learning Unbiased Rewards with Mutual Information in Adversarial Imitation Learning. | Lihua Zhang, Quan Liu, Zhigang Huang, Lan Wu |
| 2023 | ICASSP | A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets. | Lihua Zhang, Quan Liu, Xiongzhen Zhang, Yapeng Xu |
| 2023 | ICCV | Density-invariant Features for Distant Point Cloud Registration. | Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo |
| 2023 | ICONIP | Efficient Collaboration via Interaction Information in Multi-agent System. | Meilong Shi, Quan Liu, Zhigang Huang |
| 2023 | ICONIP | Self-adaptive Inverse Soft-Q Learning for Imitation. | Zhuo Wang, Quan Liu, Xiongzhen Zhang |
| 2023 | IJCAI | APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction. | Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo |
| 2023 | MICCAI | Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. | Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo |
| 2023 | MICCAI | Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. | Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman |
| 2023 | MICCAI | M | Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo |
| 2023 | RecSys | Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation. | Xumei Xi, Yuke Zhao, Quan Liu, Liwen Ouyang, Yang Wu |
| 2023 | SMC | Cosine Similarity Based Representation Learning for Adversarial Imitation Learning. | Xiongzhen Zhang, Quan Liu, Lihua Zhang |
| 2022 | EMNLP | Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition. | Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu, Zhenhua Ling, Wu Guo, Quan Liu, Zhigang Chen, Cong Liu |
| 2022 | ICASSP | Multi-Level Contrastive Learning for Cross-Lingual Alignment. | Beiduo Chen, Wu Guo, Bin Gu, Quan Liu, Yongchao Wang |
| 2022 | ICPR | Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT. | Beiduo Chen, Wu Guo, Quan Liu, Kun Tao |
| 2022 | IJCNN | Master-Slave Policy Collaboration for Actor-Critic Methods. | Xiaomu Li, Quan Liu |
| 2022 | MICCAI | Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. | Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo |
| 2022 | MICCAI | Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning. | Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo |
| 2022 | SIGIR | Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. | Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng |
| 2022 | SIGIR | Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. | Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng |
| 2022 | WSDM | Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. | Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng |
| 2021 | CIKM | Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. | Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng |
| 2021 | CIS | A File Encryption System Based on Attribute Based Encryption. | Jie Tong, Yihong Long, Quan Liu |
| 2021 | EMNLP | A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. | Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen |
| 2021 | EMNLP | Detecting Speaker Personas from Conversational Texts. | Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2021 | ICASSP | Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem. | Tianda Li, Jia-Chen Gu, Hui Liu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Xiaodan Zhu |
| 2021 | MICCAI | CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. | Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo |
| 2021 | MICCAI | SimTriplet: Simple Triplet Representation Learning with a Single GPU. | Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo |
| 2021 | MICCAI | Compound Figure Separation of Biomedical Images with Side Loss. | Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo |
| 2021 | MICCAI | VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. | Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo |
| 2021 | SIGIR | Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2020 | CIKM | Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, Xiaodan Zhu |
| 2020 | COLING | Exploring End-to-End Differentiable Natural Logic Modeling. | Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu |
| 2020 | EMNLP | Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2020 | EMNLP | Program Enhanced Fact Verification with Verbalization and Graph Attention Network. | Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2020 | HCI | Perceived Midpoint of the Forearm. | Ziyan Lu, Quan Liu, Roger W. Cholewiak, Hong Z. Tan |
| 2020 | IJCAI | End-to-End Transition-Based Online Dialogue Disentanglement. | Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu |
| 2019 | CIKM | Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Zhen-Hua Ling, Quan Liu |
| 2019 | EMNLP | Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. | Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu |
| 2019 | ICASSP | Condition-transforming Variational Autoencoder for Conversation Response Generation. | Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya |
| 2019 | IROS | Coupling Disturbance Compensated MIMO Control of Parallel Ankle Rehabilitation Robot Actuated by Pneumatic Muscles. | Jie Zuo, Wei Meng, Quan Liu, Qingsong Ai, Sheng Quan Xie, Zude Zhou |
| 2019 | UIC | A Novel Task Offloading Framework to Support Wireless Body Area Networks with MEC. | Yangzhe Liao, Liqing Shou, Quan Yu, Xiaojun Zhai, Qingsong Ai, Quan Liu |
| 2018 | ICCCN | A Stop-Wait Collaborative Charging Scheme for Mobile Wireless Rechargeable Sensor Networks. | He Li, Tian Xiao, Yihua Lan, Qinglei Qi, Quan Liu, Jinjiang Liu |
| 2018 | ICINCO | Design of a Novel Six-Axis Force/Torque Sensor based on Optical Fibre Sensing for Robotic Applications. | Jun Huang, Chu Yan Wong, Duc Truong Pham, Yongjing Wang, Chunqian Ji, Shizhong Su, Wenjun Xu, Quan Liu, Zude Zhou |
| 2018 | ICINCO | Interlocking Problem in Automatic Disassembly Planning and Two Solutions. | Feiying Lan, Yongjing Wang, Duc Truong Pham, Jiayi Liu, Jun Huang, Chunqian Ji, Shizhong Su, Wenjun Xu, Quan Liu, Zude Zhou |
| 2018 | ICINCO | Automatic Detection of Subassemblies for Disassembly Sequence Planning. | Yongjing Wang, Feiying Lan, Duc Truong Pham, Jiayi Liu, Jun Huang, Chunqian Ji, Shizhong Su, Wenjun Xu, Quan Liu, Zude Zhou |
| 2018 | ICONIP | Accurate Q-Learning. | Zhihui Hu, Yubin Jiang, Xinghong Ling, Quan Liu |
| 2018 | ICONIP | Deep Deterministic Policy Gradient with Clustered Prioritized Sampling. | Wen Wu, Fei Zhu, Yuchen Fu, Quan Liu |
| 2018 | ICONIP | Policy Space Noise in Deep Deterministic Policy Gradient. | Yan Yan, Quan Liu |
| 2018 | SENSYS | Image Compression Task Coordination Mechanism Based on Dynamic Alliance in Mobile Wireless Multimedia Sensor Networks. | He Li, Tian Xiao, Yihua Lan, Qinglei Qi, Quan Liu, Jinjiang Liu |
| 2017 | EMNLP | Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding. | Joseph Sanu, Mingbin Xu, Hui Jiang, Quan Liu |
| 2017 | IJCAI | Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. | Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu |
| 2016 | ICNC | Extraction of biomedical informtion related to breast cancer using text mining. | Lejun Gong, Ronggen Yang, Quan Liu, Haoyu Yang, Geng Yang, Kaiyu Jiang |
| 2016 | ICONIP | Sparse Kernel-Based Least Squares Temporal Difference with Prioritized Sweeping. | Cijia Sun, Xinghong Ling, Yuchen Fu, Quan Liu, Haijun Zhu, Jianwei Zhai, Peng Zhang |
| 2016 | ICONIP | Deep Q-Learning with Prioritized Sampling. | Jianwei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang, Cijia Sun |
| 2016 | ICONIP | A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample Sparsification. | Haijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, Jianwei Zhai, Cijia Sun, Peng Zhang |
| 2016 | NAACL | Intra-Topic Variability Normalization based on Linear Projection for Topic Classification. | Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang, Yu Hu |
| 2015 | ACL | Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. | Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling, Yu Hu |
| 2015 | GLOBECOM | Ecology-Based Coexistence Mechanism in Heterogeneous Cognitive Radio Networks. | Duzhong Zhang, Quan Liu, Lin Chen, Wenjun Xu |
| 2015 | ICA3PP | QoE Based Spectrum Allocation Optimization Using Bees Algorithm in Cognitive Radio Networks. | Wenjuan Lu, Zizhong Quan, Quan Liu, Duzhong Zhang, Wenjun Xu |
| 2015 | ICONIP | A Bayesian Sarsa Learning Algorithm with Bandit-Based Method. | Shuhua You, Quan Liu, Qi-ming Fu, Shan Zhong, Fei Zhu |
| 2015 | INDIN | Knowledge modeling of fault diagnosis for rotating machinery based on ontology. | Rong Chen, Zude Zhou, Quan Liu, Duc Truong Pham, Yuanyuan Zhao, Junwei Yan, Qin Wei |
| 2015 | INDIN | Servitisation of fault diagnosis for mechanical equipment in cloud manufacturing. | Junwei Yan, Quan Liu, Wenjun Xu, Duc Truong Pham, Chunqian Ji |
| 2015 | ICTAI | ACIS: An Improved Actor-Critic Method for POMDPs with Internal State. | Dan Xu, Quan Liu |
| 2015 | ICTAI | Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning. | Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang |
| 2015 | TrustCom | Protein-Protein Interaction Network Constructing Based on Text Mining and Reinforcement Learning with Application to Prostate Cancer. | Fei Zhu, Quan Liu, Xiaofang Zhang, Bairong Shen |
| 2014 | SMC | An EMG-based force prediction and control approach for robot-assisted lower limb rehabilitation. | Wei Meng, Bo Ding, Zude Zhou, Quan Liu, Qingsong Ai |
| 2013 | HPCC | A Service-Oriented Spectrum Assignment Algorithm for Cognitive Wireless Networks. | Hongwei Niu, Quan Liu, Wenjun Xu, Duzhong Zhang |
| 2013 | IDEAL | A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing. | Sisi Tian, Quan Liu, Wenjun Xu, Junwei Yan |
| 2011 | HPCC | A Cyber-Physical System for Public Environment Perception and Emergency Handling. | Wei Meng, Quan Liu, Wenjun Xu, Zude Zhou |
| 2010 | CIS | USB Key-Based Dual-Factor Dynamic Authentication Scheme. | Lei Li, Quan Liu, Xuemei Jiang |
| 2010 | CIS | On Trust Degree-Based Usage Control in DRM System. | Fen Li, Quan Liu, Qingqi Pei, Liaojun Pang |
| 2010 | CIS | Identity Authentication Based on Fuzzy Vault and Digital Certificate. | Fen Li, Quan Liu, Liaojun Pang, Qingqi Pei |
| 2007 | SNPD | Research on Ontology-based Representation and Retrieval of Components. | Quan Liu, Xinjuan Jin, Yihong Long |
| 2006 | CSCWD | Realization of A Web-based Remote Service Platform. | Yong Yin, Zude Zhou, Youping Chen, Quan Liu, Yihong Long |
| 2005 | ISNN | Neural Particle Swarm Optimization for Casing Damage Prediction. | Quansheng Dou, Chunguang Zhou, Guanyu Pan, Hongwen Luo, Quan Liu |
| 2004 | IGARSS | Research on spatial-temporal evolution of wetland water resource in Zhalong nature reserve. | Hu Peng, Qingwen Qi, Quan Liu |
| 2004 | IGARSS | LUCC and its impact on water environment in middle and lower reaches of Liaohe River. | Quan Liu, Zhongjing Wang, Hu Peng |