| 2026 | AAAI | Scaling and Transferability of Annealing Strategies in Large Language Model Training. | Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li |
| 2026 | AAAI | A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models. | Wenkai Wang, Hongcan Guo, Zheqi Lv, Shengyu Zhang |
| 2026 | ACL | Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation. | Yuxuan Si, Zheqi Lv, Chengxi Zang, Zhengyu Chen, Fei Wu |
| 2026 | WWW | ThinkRec: Thinking-based recommendation via LLM. | Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng, Fei Wu |
| 2026 | WWW | RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers. | Tianyu Zhan, Kairui Fu, Zheqi Lv, Shengyu Zhang |
| 2025 | AAAI | Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. | Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu |
| 2025 | AAAI | Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract). | Tianyu Zhan, Zheqi Lv, Shengyu Zhang, Jiwei Li |
| 2025 | IJCAI | Device-Cloud Collaborative Correction for On-Device Recommendation. | Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu |
| 2025 | KDD | Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation. | Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang |
| 2025 | KDD | Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. | Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu |
| 2025 | KDD | Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation. | Jiajie Su, Chaochao Chen, Weiming Liu, Yuhang Wang, Yihao Wang, Zheqi Lv, Xiaolin Zheng, Jianwei Yin |
| 2025 | KDD | Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating. | Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen |
| 2025 | WWW | Disentangled Knowledge Tracing for Alleviating Cognitive Bias. | Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen |
| 2024 | AAAI | Learning to Reweight for Generalizable Graph Neural Network. | Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu |
| 2024 | CVPR | Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer. | Wenqiao Zhang, Zheqi Lv |
| 2024 | ICLR | AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. | Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang |
| 2024 | KDD | DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation. | Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li |
| 2024 | WWW | Intelligent Model Update Strategy for Sequential Recommendation. | Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang |
| 2023 | EMNLP | ART: rule bAsed futuRe-inference deducTion. | Mengze Li, Tianqi Zhao, Jionghao Bai, Baoyi He, Jiaxu Miao, Wei Ji, Zheqi Lv, Zhou Zhao, Shengyu Zhang, Wenqiao Zhang, Fei Wu |
| 2023 | WWW | DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. | Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu |