Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. - Zheqi Lv; Feng Wang 072; Shengyu Zhang 001; Kun Kuang; Hongxia Yang; Fei Wu 001 (CoRR, 2022)

MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. - Zheqi Lv; Feng Wang 072; Kun Kuang; Yongwei Wang; Zhengyu Chen 001; Tao Shen 002; Hongxia Yang; Fei Wu 001 (CoRR, 2022)

Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. - Zheqi Lv; Feng Wang 072; Shengyu Zhang 001; Wenqiao Zhang; Kun Kuang; Fei Wu 001 (CICAI (1), 2023)

ART: rule bAsed futuRe-inference deducTion. - Mengze Li 001; Tianqi Zhao; Jionghao Bai; Baoyi He; Jiaxu Miao; Wei Ji 008; Zheqi Lv; Zhou Zhao 001; Shengyu Zhang 001; Wenqiao Zhang; Fei Wu 001 (EMNLP, 2023)

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. - Zheqi Lv; Wenqiao Zhang; Shengyu Zhang 001; Kun Kuang; Feng Wang 072; Yongwei Wang; Zhengyu Chen 001; Tao Shen 002; Hongxia Yang; Beng Chin Ooi; Fei Wu 001 (WWW, 2023)

IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. - Zheqi Lv; Zhengyu Chen 001; Shengyu Zhang 001; Kun Kuang; Wenqiao Zhang; Mengze Li 001; Beng Chin Ooi; Fei Wu 001 (CoRR, 2023)

Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer. - Wenqiao Zhang; Zheqi Lv; Hao Zhou; Jia-Wei Liu; Juncheng Li 006; Mengze Li 001; Siliang Tang; Yueting Zhuang (CoRR, 2023)

Learning to Reweight for Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang; Zheqi Lv; Min Zhang 005; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (CoRR, 2023)

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. - Tao Shen 002; Jie Zhang 081; Xinkang Jia; Fengda Zhang; Zheqi Lv; Kun Kuang; Chao Wu 001; Fei Wu 001 (Frontiers Inf. Technol. Electron. Eng., 2023)

Learning to Reweight for Generalizable Graph Neural Network. - Zhengyu Chen 001; Teng Xiao; Kun Kuang; Zheqi Lv; Min Zhang 005; Jinluan Yang; Chengqiang Lu; Hongxia Yang; Fei Wu 001 (AAAI, 2024)

Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer. - Wenqiao Zhang; Zheqi Lv (CVPR, 2024)

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. - Zihao Tang; Zheqi Lv; Shengyu Zhang 001; Yifan Zhou; Xinyu Duan; Fei Wu 001; Kun Kuang (ICLR, 2024)

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation. - Kairui Fu; Shengyu Zhang 001; Zheqi Lv; Jingyuan Chen; Jiwei Li 001 (KDD, 2024)

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. - Minghe Gao; Juncheng Li 006; Hao Fei 001; Liang Pang; Wei Ji 008; Guoming Wang; Zheqi Lv; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (ACM Multimedia, 2024)

Semantic Codebook Learning for Dynamic Recommendation Models. - Zheqi Lv; Shaoxuan He; Tianyu Zhan; Shengyu Zhang 001; Wenqiao Zhang; Jingyuan Chen; Zhou Zhao 001; Fei Wu 001 (ACM Multimedia, 2024)

Intelligent Model Update Strategy for Sequential Recommendation. - Zheqi Lv; Wenqiao Zhang; Zhengyu Chen 001; Shengyu Zhang 001; Kun Kuang (WWW, 2024)

ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. - Zihao Tang; Zheqi Lv; Shengyu Zhang 001; Fei Wu 001; Kun Kuang (CoRR, 2024)

HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models. - Wenqiao Zhang; Tianwei Lin; Jiang Liu; Fangxun Shu; Haoyuan Li 002; Lei Zhang 006; Wanggui He; Hao Zhou; Zheqi Lv; Hao Jiang 014; Juncheng Li 006; Siliang Tang; et al. (CoRR, 2024)

LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation. - Haoyu Zheng; Wenqiao Zhang; Yaoke Wang; Hao Zhou; Jiang Liu; Juncheng Li 006; Zheqi Lv; Siliang Tang; Yueting Zhuang (CoRR, 2024)

Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration. - Wei Ji 008; Li Li 091; Zheqi Lv; Wenqiao Zhang; Mengze Li 001; Zhen Wan; Wenqiang Lei; Roger Zimmermann (CoRR, 2024)

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework. - Jiang Liu; Bolin Li; Haoyuan Li 002; Tianwei Lin; Wenqiao Zhang; Tao Zhong; Zhelun Yu; Jinghao Wei; Hao Cheng; Hao Jiang 014; Zheqi Lv; Juncheng Li 006; et al. (CoRR, 2024)

MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation. - Haoyu Zheng; Wenqiao Zhang; Zheqi Lv; Yu Zhong; Yang Dai; Jianxiang An; Yongliang Shen 001; Juncheng Li 006; Dongping Zhang; Siliang Tang; Yueting Zhuang (CoRR, 2024)

Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration. - Zheqi Lv; Keming Ye; Zishu Wei; Qi Tian 001; Shengyu Zhang 001; Wenqiao Zhang; Wenjie Wang 007; Kun Kuang; Tat-Seng Chua; Fei Wu 001 (AAAI, 2025)

Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract). - Tianyu Zhan; Zheqi Lv; Shengyu Zhang 001; Jiwei Li 001 (AAAI, 2025)

Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation. - Kairui Fu; Zheqi Lv; Shengyu Zhang 001; Fan Wu 006; Kun Kuang (KDD (1), 2025)

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation. - Zheqi Lv; Tianyu Zhan; Wenjie Wang 007; Xinyu Lin 001; Shengyu Zhang 001; Wenqiao Zhang; Jiwei Li 001; Kun Kuang; Fei Wu 001 (KDD (1), 2025)

Disentangled Knowledge Tracing for Alleviating Cognitive Bias. - Yiyun Zhou; Zheqi Lv; Shengyu Zhang 001; Jingyuan Chen (WWW, 2025)

Cascaded Self-Evaluation Augmented Training for Efficient Multimodal Large Language Models. - Zheqi Lv; Wenkai Wang; Jiawei Wang; Shengyu Zhang 001; Fei Wu 001 (CoRR, 2025)

Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration. - Wei Ji 008; Li Li 091; Zheqi Lv; Wenqiao Zhang; Mengze Li 001; Zhen Wan; Wenqiang Lei; Roger Zimmermann (ACM Trans. Multim. Comput. Commun. Appl., 2025)

ThinkRec: Thinking-based recommendation via LLM. - Qihang Yu; Kairui Fu; Shengyu Zhang 001; Zheqi Lv; Fan Wu 006; Fei Wu 001 (CoRR, 2025)

Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating. - Yiyun Zhou; Zheqi Lv; Shengyu Zhang 001; Jingyuan Chen (CoRR, 2025)

Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion. - Zheqi Lv; Junhao Chen; Qi Tian 001; Keting Yin; Shengyu Zhang 001; Fei Wu 001 (CoRR, 2025)

Device-Cloud Collaborative Correction for On-Device Recommendation. - Tianyu Zhan; Shengyu Zhang 001; Zheqi Lv; Jieming Zhu; Jiwei Li 001; Fan Wu 006; Fei Wu 001 (CoRR, 2025)

Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs. - Yang Dai; Jianxiang An; Tianwei Lin; Hongyang He; Hongzhe Huang; Wenqiao Zhang; Zheqi Lv; Siliang Tang; Yueting Zhuang (CoRR, 2025)

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 001 (CoRR, 2025)