| 2026 | AAAI | RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability. | Kaitong Cai, Jusheng Zhang, Yijia Fan, Jing Yang, Keze Wang |
| 2026 | AAAI | Cost-Effective Communication: An Auction-based Method for Language Agent Interaction. | Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Chengpei Tang, Jian Wang, Keze Wang |
| 2026 | AAAI | 3DAlign-DAER: Dynamic Attention Policy and Efficient Retrieval Strategy for Fine-grained 3D-Text Alignment at Scale. | Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Jian Wang, Keze Wang |
| 2026 | AAAI | HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution. | Jinzhou Tang, Jusheng Zhang, Qinhan Lv, Sidi Liu, Jing Yang, Chengpei Tang, Keze Wang |
| 2026 | AAAI | ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation. | Zhuojie Yang, Wentao Wan, Keze Wang |
| 2026 | AAAI | Top-Down Semantic Refinement for Image Captioning. | Jusheng Zhang, Kaitong Cai, Jing Yang, Jian Wang, Chengpei Tang, Keze Wang |
| 2026 | AAAI | LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction. | Jusheng Zhang, Ningyuan Liu, Yijia Fan, Zihao Huang, Qinglin Zeng, Kaitong Cai, Jian Wang, Keze Wang |
| 2026 | ACL | Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement. | Kaitong Cai, Jusheng Zhang, Keze Wang |
| 2026 | ACL | Nash-Pruned CredMAS: Dynamic Panel Pruning for VLM-MAS using Nash-based Selection and Doubly-Robust Credits. | Yijia Fan, Mingyu Liu, Jing Yang, Jian Wang, Keze Wang, Jusheng Zhang |
| 2026 | ACL | Reinforcement Learning for Diffusion LLMs via Energy-Based Gibbs Alignment. | Yijia Fan, Jing Yang, Mingyu Liu, Kaitong Cai, Jian Wang, Keze Wang, Jusheng Zhang |
| 2026 | ACL | ChunQiuTR: Time-Keyed Temporal Retrieval in Classical Chinese Annals. | Yihao Wang, Zijian He, Jie Ren, Keze Wang |
| 2026 | ACL | RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion Decoding. | Qinglin Zeng, Jusheng Zhang, Jing Yang, Ningyuan Liu, Keze Wang |
| 2026 | ACL | Stable Language Guidance for Vision-Language-Action Models. | Zhihao Zhan, Yuhao Chen, Jiaying Zhou, Qinhan Lyu, Hao Liu, Keze Wang, Liang Lin, Guangrun Wang |
| 2025 | AAAI | SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks. | Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang |
| 2025 | CVPR | Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. | Ziliang Chen, Xin Huang, Xiaoxuan Fan, Keze Wang, Yuyu Zhou, Quanlong Guan, Liang Lin |
| 2025 | CVPR | Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body. | Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, Yonghong Tian |
| 2025 | EMNLP | CCG: Rare-Label Prediction via Neural SEM-Driven Causal Game. | Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Keze Wang |
| 2025 | EMNLP | Towards More Efficient Post-training via Fourier Domain Adapter Framework. | Yijia Fan, Jusheng Zhang, Keze Wang |
| 2025 | EMNLP | DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off. | Jusheng Zhang, Yijia Fan, Kaitong Cai, Zimeng Huang, Xiaofei Sun, Jian Wang, Chengpei Tang, Keze Wang |
| 2025 | EMNLP | OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration. | Jusheng Zhang, Yijia Fan, Kaitong Cai, Xiaofei Sun, Keze Wang |
| 2025 | ICML | KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems. | Jusheng Zhang, Zimeng Huang, Yijia Fan, Ningyuan Liu, Mingyan Li, Zhuojie Yang, Jiawei Yao, Jian Wang, Keze Wang |
| 2025 | IJCNN | High-Fidelity Face Swapping via Fine-grained Attribute Control with Diffusion Models. | Zikang Zhou, Keze Wang |
| 2025 | KDD | AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay. | Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang, Jinrui Chen, Liang Lin |
| 2024 | AAAI | NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. | Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr |
| 2024 | AAAI | Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. | Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang |
| 2024 | AAAI | Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. | Qingyi Liu, Jinghui Qin, Wenxuan Ye, Hao Mou, Yuxuan He, Keze Wang |
| 2024 | CVPR | Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. | Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu |
| 2024 | ICASSP | Gesture Generation Via Diffusion Model with Attention Mechanism. | Lingling Li, Weicong Li, Qiyuan Ding, Chengpei Tang, Keze Wang |
| 2022 | ICASSP | Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy. | Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang |
| 2021 | EMNLP | Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. | Arjun R. Akula, Spandana Gella, Keze Wang, Song-Chun Zhu, Siva Reddy |
| 2021 | ICCV | Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. | Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin |
| 2021 | ICCV | Solving Inefficiency of Self-supervised Representation Learning. | Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin |
| 2021 | ICRA | Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. | Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin |
| 2020 | KDD | Grammatically Recognizing Images with Tree Convolution. | Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin |
| 2019 | CVPR | Adaptively Connected Neural Networks. | Guangrun Wang, Keze Wang, Liang Lin |
| 2018 | CVPR | Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. | Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin |
| 2018 | CVPR | Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection. | Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin |
| 2018 | IJCAI | Convolutional Memory Blocks for Depth Data Representation Learning. | Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun |
| 2018 | IROS | Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry. | Hui Cheng, Zhuoqi Zheng, Jinhao He, Chongyu Chen, Keze Wang, Liang Lin |
| 2017 | CVPR | Recurrent 3D Pose Sequence Machines. | Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng |
| 2017 | DICTA | Fine-Grained Butterfly Recognition with Deep Residual Networks: A New Baseline and Benchmark. | Lin Nie, Keze Wang, Xiaoling Fan, Yuefang Gao |
| 2017 | DICTA | Image Retrieval with Attribute-Associated Auxiliary References. | Lin Nie, Keze Wang, Wenxiong Kang, Yuefang Gao |
| 2016 | CVPR | Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. | Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang |
| 2016 | ICPR | Learning a lightweight deep convolutional network for joint age and gender recognition. | Linnan Zhu, Keze Wang, Liang Lin, Lei Zhang |
| 2013 | CVPR | PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors. | Keyang Shi, Keze Wang, Jiangbo Lu, Liang Lin |