Zheqi Lv

According to our database, Zheqi Lv authored at least 52 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

VisualThink-VLA: Visual Intermediate Reasoning for Effective and Low-Latency Vision-Language-Action Policies.

Mingjian Gao, Wenqiao Zhang, Yuqian Yuan, Yang Dai, Binhe Yu, Zheqi Lv, Haoyu Zheng, Jiaqi Zhu, Zhiqi Ge, Zixuan Wang, Siliang Tang, Yueting Zhuang

CoRR, May, 2026

DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery.

Jiawei Wang, Ming Lei, Yaning Yang, Xinyan Lin, Yuquan Le, Qiwei Ma, Zhiwei Xu, Zheqi Lv, Yuchen Ang, Zhe Quan, Tat-Seng Chua

CoRR, April, 2026

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation.

Tianyu Zhan, Kairui Fu, Chengfei Lv, Zheqi Lv, Shengyu Zhang

CoRR, April, 2026

OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning.

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

CoRR, March, 2026

Enhancing Post-Training Quantization via Future Activation Awareness.

Zheqi Lv, Zhenxuan Fan, Qi Tian, Wenqiao Zhang, Yueting Zhuang

CoRR, February, 2026

CtrlCoT: Dual-Granularity Chain-of-Thought Compression for Controllable Reasoning.

Zhenxuan Fan, Jie Cao, Yang Dai, Zheqi Lv, Wenqiao Zhang, Zhongle Xie, Peng Lu, Beng Chin Ooi

CoRR, January, 2026

MAKIMA: Tuning-free multi-attribute open-domain video editing via mask-guided attention modulation.

Haoyu Zheng, Qifan Yu, Wenqiao Zhang, Hongyang He, Juncheng Li, Zheqi Lv, Dongping Zhang, Siliang Tang, Yueting Zhuang

Expert Syst. Appl., 2026

RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers.

Tianyu Zhan, Kairui Fu, Zheqi Lv, Shengyu Zhang

Proceedings of the ACM Web Conference 2026, 2026

ThinkRec: Thinking-based recommendation via LLM.

Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng, Fei Wu

Proceedings of the ACM Web Conference 2026, 2026

Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation.

Yuxuan Si, Zheqi Lv, Chengxi Zang, Zhengyu Chen, Fei Wu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

UnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched Edits.

Keming Ye, Zhipeng Huang, Canmiao Fu, Qingyang Liu, Jiani Cai, Zheqi Lv, Chen Li, Jing Lyu, Zhou Zhao, Shengyu Zhang

CoRR, December, 2025

Fast Thinking for Large Language Models.

Haoyu Zheng, Zhuonan Wang, Yuqian Yuan, Tianwei Lin, Wenqiao Zhang, Zheqi Lv, Juncheng Li, Siliang Tang, Yueting Zhuang, Hongyang He

CoRR, September, 2025

FedMcon: an adaptive aggregation method for federated learning via meta controller.

Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu

Frontiers Inf. Technol. Electron. Eng., August, 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, June, 2025

Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion.

Zheqi Lv, Junhao Chen, Qi Tian, Keting Yin, Shengyu Zhang, Fei Wu

CoRR, May, 2025

ThinkRec: Thinking-based recommendation via LLM.

Qihang Yu, Kairui Fu, Shengyu Zhang, Zheqi Lv, Fan Wu, Fei Wu

CoRR, May, 2025

Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.

Wei Ji, Li Li, Zheqi Lv, Wenqiao Zhang, Mengze Li, Zhen Wan, Wenqiang Lei, Roger Zimmermann

ACM Trans. Multim. Comput. Commun. Appl., February, 2025

Cascaded Self-Evaluation Augmented Training for Efficient Multimodal Large Language Models.

Zheqi Lv, Wenkai Wang, Jiawei Wang, Shengyu Zhang, Fei Wu

CoRR, January, 2025

Disentangled Knowledge Tracing for Alleviating Cognitive Bias.

Yiyun Zhou, Zheqi Lv, Shengyu Zhang, Jingyuan Chen

Proceedings of the ACM on Web Conference 2025, 2025

Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing.

Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation.

Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Device-Cloud Collaborative Correction for On-Device Recommendation.

Tianyu Zhan, Shengyu Zhang, Zheqi Lv, Jieming Zhu, Jiwei Li, Fan Wu, Fei Wu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract).

Tianyu Zhan, Zheqi Lv, Shengyu Zhang, Jiwei Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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, Juncheng Li, Dongping Zhang, Siliang Tang, Yueting Zhuang

CoRR, 2024

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework.

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

CoRR, 2024

Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.

Wei Ji, Li Li, Zheqi Lv, Wenqiao Zhang, Mengze Li, Zhen Wan, Wenqiang Lei, Roger Zimmermann

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, Zheqi Lv, Siliang Tang, Yueting Zhuang

CoRR, 2024

HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models.

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

CoRR, 2024

ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation.

Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang

CoRR, 2024

Intelligent Model Update Strategy for Sequential Recommendation.

Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang

Proceedings of the ACM on Web Conference 2024, 2024

An Adaptive Aggregation Method for Federated Learning via Meta Controller.

Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Shengyu Zhang, Kun Kuang, Fei Wu

Proceedings of the 6th ACM International Conference on Multimedia in Asia, Workshops, 2024

Semantic Codebook Learning for Dynamic Recommendation Models.

Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

De-fine: Decomposing and Refining Visual Programs with Auto-Feedback.

Minghe Gao, Juncheng Li, Hao Fei, Liang Pang, Wei Ji, Guoming Wang, Zheqi Lv, Wenqiao Zhang, Siliang Tang, Yueting Zhuang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation.

Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer.

Wenqiao Zhang, Zheqi Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.

Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu

Frontiers Inf. Technol. Electron. Eng., October, 2023

Learning to Reweight for Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

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, Mengze Li, Siliang Tang, Yueting Zhuang

CoRR, 2023

IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System.

Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu

CoRR, 2023

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

Proceedings of the ACM Web Conference 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation.

Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization.

Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu

CoRR, 2022

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling.

Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu

CoRR, 2022