Wang, Qifan

54 publications

NeurIPS 2025 AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Jingyuan Qi, Zhiyang Xu, Qifan Wang, Lifu Huang

ICLR 2025 Advantage-Guided Distillation for Preference Alignment in Small Language Models Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang

NeurIPS 2025 All You Need Is One: Capsule Prompt Tuning with a Single Vector Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han

ICCV 2025 CompCap: Improving Multimodal Large Language Models with Composite Captions Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab, Aashu Singh, Qifan Wang, David Yang, ShengYun Peng, Hanchao Yu, Shen Yan, Xuewen Zhang, Baosheng He

AAAI 2025 CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng

TMLR 2025 Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang

ICCV 2025 Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics Taowen Wang, Cheng Han, James Liang, Wenhao Yang, Dongfang Liu, Luna Xinyu Zhang, Qifan Wang, Jiebo Luo, Ruixiang Tang

ICLR 2025 IDInit: A Universal and Stable Initialization Method for Neural Network Training Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu

ICLR 2025 Modality-Specialized Synergizers for Interleaved Vision-Language Generalists Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang

AISTATS 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang

NeurIPS 2025 Probabilistic Token Alignment for Large Language Model Fusion Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu

ICLRW 2025 ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding Yijia Xiao, Edward Sun, Yiqiao Jin, Qifan Wang, Wei Wang

ICLR 2025 Re-Imagining Multimodal Instruction Tuning: A Representation View Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han

ICLR 2025 Visual Agents as Fast and Slow Thinkers Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu

IJCAI 2024 A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract) Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun

ECCV 2024 AMD: Automatic Multi-Step Distillation of Large-Scale Vision Models Cheng Han, Qifan Wang, Sohail A Dianat, Majid Rabbani, Raghuveer Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu

ICLR 2024 FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu

ICLR 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu

NeurIPS 2024 HYDRA: Model Factorization Framework for Black-Box LLM Personalization Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai

ICLR 2024 Image Translation as Diffusion Visual Programmers Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu

CVPR 2024 Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi

AAAI 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li

TMLR 2024 On the Equivalence of Graph Convolution and Mixup Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

CVPR 2024 ProMotion: Prototypes as Motion Learners Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan

ICML 2024 Prototypical Transformer as Unified Motion Learners Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu

ICLR 2024 Representation Deficiency in Masked Language Modeling Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer

ECCV 2024 UAV First-Person Viewers Are Radiance Field Learners Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu

NeurIPS 2024 Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang

NeurIPS 2024 Visual Fourier Prompt Tuning Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu

NeurIPS 2023 ClusterFomer: Clustering as a Universal Visual Learner James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

CVPR 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

ICCV 2023 E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

AAAI 2023 Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang

IJCAI 2023 Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration for Video Captioning Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang

NeurIPS 2023 Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

ICMLW 2023 Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

TMLR 2023 Retiring $\Delta \text{DP}$: New Distribution-Level Metrics for Demographic Parity Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

CVPR 2023 TransFlow: Transformer as Flow Learner Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin Chen, Dongfang Liu

NeurIPS 2023 Unified 3D Segmenter as Prototypical Classifiers Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Lu Xiankai

NeurIPS 2022 AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning Tao Yang, JInghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie

IJCAI 2022 GL-RG: Global-Local Representation Granularity for Video Captioning Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu

ECCV 2022 Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Chen

NeurIPS 2020 Big Bird: Transformers for Longer Sequences Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed

IJCAI 2017 Instance-Level Label Propagation with Multi-Instance Learning Qifan Wang, Gal Chechik, Chen Sun, Bin Shen

IJCAI 2015 Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model Tao Wu, Qifan Wang, Zhiwei Zhang, Luo Si

IJCAI 2015 Learning to Hash on Partial Multi-Modal Data Qifan Wang, Luo Si, Bin Shen

AAAI 2015 Learning to Hash on Structured Data Qifan Wang, Luo Si, Bin Shen

IJCAI 2015 Ranking Preserving Hashing for Fast Similarity Search Qifan Wang, Zhiwei Zhang, Luo Si

AAAI 2015 SP-SVM: Large Margin Classifier for Data on Multiple Manifolds Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach

AAAI 2014 Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification Qifan Wang, Lingyun Ruan, Luo Si

ECCV 2014 Binary Codes Embedding for Fast Image Tagging with Incomplete Labels Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si

ECCV 2014 Learning to Hash with Partial Tags: Exploring Correlation Between Tags and Hashing Bits for Large Scale Image Retrieval Qifan Wang, Luo Si, Dan Zhang

ECCV 2012 A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification Qifan Wang, Luo Si, Dan Zhang

ECCV 2010 A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences Qifan Wang, Linmi Tao, Huijun Di