Zheqi Lv

62 papers A* 18Journal 38Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models.
AAAI
Wenkai Wang, Hongcan Guo, Zheqi Lv, Shengyu Zhang
2026 J jnl
CtrlCoT: Dual-Granularity Chain-of-Thought Compression for Controllable Reasoning.
CoRR
Zhenxuan Fan, Jie Cao, Yang Dai, Zheqi Lv, Wenqiao Zhang, Zhongle Xie, Peng Lu, Beng Chin Ooi
2026 J jnl
Enhancing Post-Training Quantization via Future Activation Awareness.
CoRR
Zheqi Lv, Zhenxuan Fan, Qi Tian, Wenqiao Zhang, Yueting Zhuang
2026 J jnl
MAKIMA: Tuning-free multi-attribute open-domain video editing via mask-guided attention modulation.
Expert Syst. Appl.
Haoyu Zheng, Qifan Yu, Wenqiao Zhang, Hongyang He, Juncheng Li, Zheqi Lv, Dongping Zhang, Siliang Tang, Yueting Zhuang
2026 J jnl
OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning.
CoRR
Kaihang Pan, Qi Tian, Jianwei Zhang, Weijie Kong, Jiangfeng Xiong, Yanxin Long, Shixue Zhang, Haiyi Qiu, Tan Wang, Zheqi Lv, Yue Wu, Liefeng Bo, Siliang Tang, Zhao Zhong
2026 A* conf
RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers.
WWW
Tianyu Zhan, Kairui Fu, Zheqi Lv, Shengyu Zhang
2026 A* conf
Scaling and Transferability of Annealing Strategies in Large Language Model Training.
AAAI
Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li
2026 A* conf
ThinkRec: Thinking-based recommendation via LLM.
WWW
Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng, Fei Wu
2025 J jnl
A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models.
CoRR
Wenkai Wang, Hongcan Guo, Zheqi Lv, Shengyu Zhang
2025 J jnl
Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.
ACM Trans. Multim. Comput. Commun. Appl.
Wei Ji, Li Li, Zheqi Lv, Wenqiao Zhang, Mengze Li, Zhen Wan, Wenqiang Lei, Roger Zimmermann
2025 J jnl
Cascaded Self-Evaluation Augmented Training for Efficient Multimodal Large Language Models.
CoRR
Zheqi Lv, Wenkai Wang, Jiawei Wang, Shengyu Zhang, Fei Wu
2025 — conf
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation.
KDD (1)
Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu
2025 J jnl
Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation.
CoRR
Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu
2025 — conf
Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating.
KDD (2)
Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen
2025 J jnl
Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating.
CoRR
Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen
2025 A* conf
Device-Cloud Collaborative Correction for On-Device Recommendation.
IJCAI
Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu
2025 J jnl
Device-Cloud Collaborative Correction for On-Device Recommendation.
CoRR
Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu
2025 A* conf
Disentangled Knowledge Tracing for Alleviating Cognitive Bias.
WWW
Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen
2025 J jnl
Disentangled Knowledge Tracing for Alleviating Cognitive Bias.
CoRR
Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen
2025 J jnl
Fast Thinking for Large Language Models.
CoRR
Haoyu Zheng, Zhuonan Wang, Yuqian Yuan, Tianwei Lin, Wenqiao Zhang, Zheqi Lv, Juncheng Li, Siliang Tang, Yueting Zhuang, Hongyang He
2025 J jnl
FedMcon: an adaptive aggregation method for federated learning via meta controller.
Frontiers Inf. Technol. Electron. Eng.
Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu
2025 — conf
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation.
KDD (1)
Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang
2025 J jnl
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation.
CoRR
Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang
2025 J jnl
Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs.
CoRR
Yang Dai, Jianxiang An, Tianwei Lin, Hongyang He, Hongzhe Huang, Wenqiao Zhang, Zheqi Lv, Siliang Tang, Yueting Zhuang
2025 — conf
Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation.
KDD (2)
Jiajie Su, Chaochao Chen, Weiming Liu, Yuhang Wang, Yihao Wang, Zheqi Lv, Xiaolin Zheng, Jianwei Yin
2025 J jnl
Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion.
CoRR
Zheqi Lv, Junhao Chen, Qi Tian, Keting Yin, Shengyu Zhang, Fei Wu
2025 A* conf
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration.
AAAI
Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu
2025 J jnl
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration.
CoRR
Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu
2025 A* conf
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract).
AAAI
Tianyu Zhan, Zheqi Lv, Shengyu Zhang, Jiwei Li
2025 J jnl
RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers.
CoRR
Tianyu Zhan, Kairui Fu, Zheqi Lv, Shengyu Zhang
2025 J jnl
Scaling and Transferability of Annealing Strategies in Large Language Model Training.
CoRR
Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li
2025 A* conf
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing.
ACM Multimedia
Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu
2025 J jnl
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing.
CoRR
Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu
2025 J jnl
ThinkRec: Thinking-based recommendation via LLM.
CoRR
Qihang Yu, Kairui Fu, Shengyu Zhang, Zheqi Lv, Fan Wu, Fei Wu
2025 J jnl
UnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched Edits.
CoRR
Keming Ye, Zhipeng Huang, Canmiao Fu, Qingyang Liu, Jiani Cai, Zheqi Lv, Chen Li, Jing Lyu, Zhou Zhao, Shengyu Zhang
2024 — conf
An Adaptive Aggregation Method for Federated Learning via Meta Controller.
MMAsia Workshops
Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Shengyu Zhang, Kun Kuang, Fei Wu
2024 A* conf
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation.
ICLR
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
2024 J jnl
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation.
CoRR
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
2024 J jnl
Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.
CoRR
Wei Ji, Li Li, Zheqi Lv, Wenqiao Zhang, Mengze Li, Zhen Wan, Wenqiang Lei, Roger Zimmermann
2024 J jnl
Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework.
CoRR
Jiang Liu, Bolin Li, Haoyuan Li, Tianwei Lin, Wenqiao Zhang, Tao Zhong, Zhelun Yu, Jinghao Wei, Hao Cheng, Hao Jiang, Zheqi Lv, Juncheng Li, Siliang Tang, Yueting Zhuang
2024 A* conf
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation.
KDD
Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li
2024 J jnl
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation.
CoRR
Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li
2024 A* conf
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback.
ACM Multimedia
Minghe Gao, Juncheng Li, Hao Fei, Liang Pang, Wei Ji, Guoming Wang, Zheqi Lv, Wenqiao Zhang, Siliang Tang, Yueting Zhuang
2024 J jnl
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models.
CoRR
Wenqiao Zhang, Tianwei Lin, Jiang Liu, Fangxun Shu, Haoyuan Li, Lei Zhang, Wanggui He, Hao Zhou, Zheqi Lv, Hao Jiang, Juncheng Li, Siliang Tang, Yueting Zhuang
2024 A* conf
Intelligent Model Update Strategy for Sequential Recommendation.
WWW
Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang
2024 J jnl
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation.
CoRR
Haoyu Zheng, Wenqiao Zhang, Yaoke Wang, Hao Zhou, Jiang Liu, Juncheng Li, Zheqi Lv, Siliang Tang, Yueting Zhuang
2024 A* conf
Learning to Reweight for Generalizable Graph Neural Network.
AAAI
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2024 J jnl
MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation.
CoRR
Haoyu Zheng, Wenqiao Zhang, Zheqi Lv, Yu Zhong, Yang Dai, Jianxiang An, Yongliang Shen, Juncheng Li, Dongping Zhang, Siliang Tang, Yueting Zhuang
2024 J jnl
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation.
CoRR
Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang
2024 J jnl
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract).
CoRR
Tianyu Zhan, Zheqi Lv, Shengyu Zhang, Jiwei Li
2024 A* conf
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer.
CVPR
Wenqiao Zhang, Zheqi Lv
2024 A* conf
Semantic Codebook Learning for Dynamic Recommendation Models.
ACM Multimedia
Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu
2024 J jnl
Semantic Codebook Learning for Dynamic Recommendation Models.
CoRR
Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu
2023 A* conf
ART: rule bAsed futuRe-inference deducTion.
EMNLP
Mengze Li, Tianqi Zhao, Jionghao Bai, Baoyi He, Jiaxu Miao, Wei Ji, Zheqi Lv, Zhou Zhao, Shengyu Zhang, Wenqiao Zhang, Fei Wu
2023 A* conf
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization.
WWW
Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu
2023 J jnl
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.
Frontiers Inf. Technol. Electron. Eng.
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
2023 J jnl
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System.
CoRR
Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu
2023 J jnl
Learning to Reweight for Graph Neural Network.
CoRR
Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2023 — conf
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation.
CICAI (1)
Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu
2023 J jnl
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer.
CoRR
Wenqiao Zhang, Zheqi Lv, Hao Zhou, Jia-Wei Liu, Juncheng Li, Mengze Li, Siliang Tang, Yueting Zhuang
2022 J jnl
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization.
CoRR
Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu
2022 J jnl
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling.
CoRR
Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu