Local Probabilistic Matrix Factorization for Personal Recommendation. - Wenping Ma 001; Yue Wu 004; Maoguo Gong; Can Qin; Shanfeng Wang (CIS, 2017)

A Multi-objective Framework for Location Recommendation Based on User Preference. - Shanfeng Wang; Maoguo Gong; Can Qin; Junwei Yang (CIS, 2017)

Efficient Scene Labeling via Sparse Annotations. - Can Qin; Maoguo Gong; Yue Wu 004; Dayong Tian; Puzhao Zhang (AAAI Workshops, 2018)

Generatively Inferential Co-Training for Unsupervised Domain Adaptation. - Can Qin; Lichen Wang; Yulun Zhang 001; Yun Fu 001 (ICCV Workshops, 2019)

PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation. - Can Qin; Haoxuan You; Lichen Wang; C.-C. Jay Kuo; Yun Fu 001 (NeurIPS, 2019)

Dual Relation Semi-Supervised Multi-Label Learning. - Lichen Wang; Yunyu Liu; Can Qin; Gan Sun; Yun Fu 001 (AAAI, 2020)

Face Recognition: Too Bias, or Not Too Bias? - Joseph P. Robinson; Gennady Livitz; Yann Henon; Can Qin; Yun Fu 001; Samson Timoner (CVPR Workshops, 2020)

Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning. - Yunyu Liu; Lichen Wang; Yue Bai; Can Qin; Zhengming Ding; Yun Fu 001 (ECCV (14), 2020)

Deep-Learning-Enabled Simulated Annealing for Topology Optimization. - Changyu Deng; Can Qin; Wei Lu (CoRR, 2020)

Opposite Structure Learning for Semi-supervised Domain Adaptation. - Can Qin; Lichen Wang; Qianqian Ma; Yu Yin 001; Huan Wang 014; Yun Fu 001 (CoRR, 2020)

Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training. - Yue Wu 004; Guifeng Mu; Can Qin; Qiguang Miao; Wenping Ma 001; Xiangrong Zhang (Remote. Sens., 2020)

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. - Joseph P. Robinson; Can Qin; Ming Shao; Matthew A. Turk; Rama Chellappa; Yun Fu 001 (FG, 2021)

Context Reasoning Attention Network for Image Super-Resolution. - Yulun Zhang 001; Donglai Wei 001; Can Qin; Huan Wang 014; Hanspeter Pfister; Yun Fu 001 (ICCV, 2021)

Aspect-based Sentiment Classification via Reinforcement Learning. - Lichen Wang; Bo Zong; Yunyu Liu; Can Qin; Wei Cheng 002; Wenchao Yu; Xuchao Zhang; Haifeng Chen; Yun Fu 001 (ICDM, 2021)

Neural Pruning via Growing Regularization. - Huan Wang 014; Can Qin; Yulun Zhang 001; Yun Fu 001 (ICLR, 2021)

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. - Yu Yin 001; Joseph P. Robinson; Songyao Jiang; Yue Bai; Can Qin; Yun Fu 001 (ACM Multimedia, 2021)

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. - Can Qin; Handong Zhao; Lichen Wang; Huan Wang 014; Yulun Zhang 001; Yun Fu 001 (NeurIPS, 2021)

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. - Yulun Zhang 001; Huan Wang 014; Can Qin; Yun Fu 001 (NeurIPS, 2021)

Contradictory Structure Learning for Semi-supervised Domain Adaptation. - Can Qin; Lichen Wang; Qianqian Ma; Yu Yin 001; Huan Wang 014; Yun Fu 001 (SDM, 2021)

Emerging Paradigms of Neural Network Pruning. - Huan Wang 014; Can Qin; Yulun Zhang 001; Yun Fu 001 (CoRR, 2021)

Dynamical Isometry: The Missing Ingredient for Neural Network Pruning. - Huan Wang 014; Can Qin; Yue Bai; Yun Fu 001 (CoRR, 2021)

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. - Yizhou Wang 006; Yue Kang 002; Can Qin; Yi Xu 005; Huan Wang 014; Yulun Zhang 001; Yun Fu 001 (CoRR, 2021)

SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation. - Yizhou Wang 006; Can Qin; Rongzhe Wei; Yi Xu 005; Yue Bai; Yun Fu 001 (CoRR, 2021)

Semi-Supervised Dual Relation Learning for Multi-Label Classification. - Lichen Wang; Yunyu Liu; Hang Di; Can Qin; Gan Sun; Yun Fu 001 (IEEE Trans. Image Process., 2021)

Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. - Yizhou Wang 006; Can Qin; Rongzhe Wei; Yi Xu 005; Yue Bai; Yun Fu 001 (CIKM, 2022)

Robust Semi-supervised Domain Adaptation against Noisy Labels. - Can Qin; Yizhou Wang 006; Yun Fu 001 (CIKM, 2022)

Making Reconstruction-based Method Great Again for Video Anomaly Detection. - Yizhou Wang 006; Can Qin; Yue Bai; Yi Xu 005; Xu Ma 005; Yun Fu 001 (ICDM, 2022)

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. - Xu Ma 005; Can Qin; Haoxuan You; Haoxi Ran; Yun Fu 001 (ICLR, 2022)

Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. - Yulun Zhang 001; Huan Wang 014; Can Qin; Yun Fu 001 (ICLR, 2022)

MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. - Yi Xu 005; Lichen Wang; Yizhou Wang 006; Can Qin; Yulun Zhang 001; Yun Fu 001 (IJCAI, 2022)

Recent Advances on Neural Network Pruning at Initialization. - Huan Wang 014; Can Qin; Yue Bai; Yulun Zhang 001; Yun Fu 001 (IJCAI, 2022)

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. - Can Qin; Sungchul Kim; Handong Zhao; Tong Yu 001; Ryan A. Rossi; Yun Fu 001 (KDD, 2022)

A Close Look at Spatial Modeling: From Attention to Convolution. - Xu Ma 005; Huan Wang 004; Can Qin; Kunpeng Li; Xingchen Zhao; Jie Fu; Yun Fu 001 (CoRR, 2022)

Semi-Supervised Domain Adaptive Structure Learning. - Can Qin; Lichen Wang; Qianqian Ma; Yu Yin 001; Huan Wang 014; Yun Fu 001 (IEEE Trans. Image Process., 2022)

Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. - Vibashan VS; Ning Yu 006; Chen Xing; Can Qin; Mingfei Gao; Juan Carlos Niebles; Vishal M. Patel; Ran Xu 001 (CVPR, 2023)

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. - Can Qin; Ning Yu 006; Chen Xing; Shu Zhang 007; Zeyuan Chen 001; Stefano Ermon; Yun Fu 001; Caiming Xiong; Ran Xu 001 (ICCV, 2023)

Momentum is All You Need for Data-Driven Adaptive Optimization. - Yizhou Wang 006; Yue Kang 002; Can Qin; Huan Wang 014; Yi Xu 005; Yulun Zhang 001; Yun Fu 001 (ICDM, 2023)

Image as Set of Points. - Xu Ma 005; Yuqian Zhou; Huan Wang 014; Can Qin; Bin Sun 002; Chang Liu 022; Yun Fu 001 (ICLR, 2023)

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. - Can Qin; Shu Zhang 007; Ning Yu 006; Yihao Feng; Xinyi Yang 002; Yingbo Zhou; Huan Wang 014; Juan Carlos Niebles; Caiming Xiong; Silvio Savarese; Stefano Ermon; Yun Fu 001; et al. (NeurIPS, 2023)

Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning. - Huan Wang 004; Can Qin; Yue Bai; Yun Fu 001 (CoRR, 2023)

Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection. - Haichao Zhang 002; Can Qin; Yu Yin 001; Yun Fu 001 (CoRR, 2023)

M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking. - Jiaming Liu; Yue Wu 004; Maoguo Gong; Qiguang Miao; Wenping Ma 001; Can Qin (CoRR, 2023)

Global layout optimization of star-tree gas gathering pipeline network via an improved genetic optimization algorithm. - Jinghong Peng; Jun Zhou; Guangchuan Liang; Can Qin; Cao Peng; Yulin Chen; Chengqiang Hu (J. Intell. Fuzzy Syst., 2023)

Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. - Joseph P. Robinson; Can Qin; Yann Henon; Samson Timoner; Yun Fu 001 (IEEE Trans. Image Process., 2023)

Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. - Huan Wang 014; Yulun Zhang 001; Can Qin; Luc Van Gool; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. - Jiaming Liu; Yue Wu 004; Maoguo Gong; Qiguang Miao; Wenping Ma 001; Cai Xu; Can Qin (AAAI, 2024)

HIVE: Harnessing Human Feedback for Instructional Visual Editing. - Shu Zhang 007; Xinyi Yang 002; Yihao Feng; Can Qin; Chia-Chih Chen; Ning Yu 006; Zeyuan Chen 001; Huan Wang 014; Silvio Savarese; Stefano Ermon; Caiming Xiong; Ran Xu 001 (CVPR, 2024)

xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. - Can Qin; Congying Xia; Krithika Ramakrishnan; Michael S. Ryoo; Lifu Tu; Yihao Feng; Manli Shu; Honglu Zhou; Anas Awadalla; Jun Wang 090; Senthil Purushwalkam; Le Xue; et al. (ECCV Workshops (5), 2024)

SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. - Guohao Sun; Can Qin; Jiamian Wang; Zeyuan Chen 001; Ran Xu 001; Zhiqiang Tao (ECCV (9), 2024)

Self-Training Large Language and Vision Assistant for Medical Question Answering. - Guohao Sun; Can Qin; Huazhu Fu; Linwei Wang; Zhiqiang Tao (EMNLP, 2024)

STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. - Guohao Sun; Can Qin; Huazhu Fu; Linwei Wang; Zhiqiang Tao (CoRR, 2024)

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

Triple Point Masking. - Jiaming Liu; Linghe Kong; Yue Wu 004; Maoguo Gong; Hao Li 009; Qiguang Miao; Wenping Ma 001; Can Qin (CoRR, 2024)

xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. - Michael S. Ryoo; Honglu Zhou; Shrikant Kendre; Can Qin; Le Xue; Manli Shu; Silvio Savarese; Ran Xu 001; Caiming Xiong; Juan Carlos Niebles (CoRR, 2024)

SLA$^{{ text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation. - Yizhou Wang 006; Can Qin; Rongzhe Wei; Yi Xu 005; Yue Bai; Yun Fu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding. - Kung-Hsiang Huang; Can Qin; Haoyi Qiu; Philippe Laban; Shafiq Joty; Caiming Xiong; Chien-Sheng Wu (ACL (Findings), 2025)

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models. - Keda Tao; Can Qin; Haoxuan You; Yang Sui; Huan Wang (CVPR, 2025)

Disentangled Pose and Appearance Guidance for Multi-Pose Generation. - Tengfei Xiao; Yue Wu 004; Yuelong Li; Can Qin; Maoguo Gong; Qiguang Miao; Wenping Ma 001 (CVPR, 2025)

Prediction of psychophysiological perception of driver in road tunnel using particle swarm optimization improved stacked denoising autoencoder model. - Can Qin; Bo Liang; Jia'an Niu; Jinghang Xiao; Shuangkai Zhu; Haonan Long (Array, 2025)

MuseumMaker: Continual Style Customization Without Catastrophic Forgetting. - Chenxi Liu; Gan Sun; Wenqi Liang; Jiahua Dong 001; Can Qin; Yang Cong (IEEE Trans. Image Process., 2025)

Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models. - Keda Tao; Haoxuan You; Yang Sui; Can Qin; Huan Wang (CoRR, 2025)

Could AI Trace and Explain the Origins of AI-Generated Images and Text? - Hongchao Fang; Yixin Liu 002; Jiangshu Du; Can Qin; Ran Xu 001; Feng Liu; Lichao Sun 001; Dongwon Lee; Lifu Huang; Wenpeng Yin 001 (CoRR, 2025)

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset. - Jiuhai Chen; Zhiyang Xu; Xichen Pan; Yushi Hu; Can Qin; Tom Goldstein; Lifu Huang; Tianyi Zhou 001; Saining Xie; Silvio Savarese; Le Xue; Caiming Xiong; et al. (CoRR, 2025)

HoliTom: Holistic Token Merging for Fast Video Large Language Models. - Kele Shao; Keda Tao; Can Qin; Haoxuan You; Yang Sui; Huan Wang (CoRR, 2025)

VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. - Rui Meng; Ziyan Jiang; Ye Liu 006; Mingyi Su; Xinyi Yang 002; Yuepeng Fu; Can Qin; Zeyuan Chen 001; Ran Xu 001; Caiming Xiong; Yingbo Zhou; Wenhu Chen; et al. (CoRR, 2025)

When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios. - Kele Shao; Keda Tao; Kejia Zhang; Sicheng Feng; Mu Cai; Yuzhang Shang; Haoxuan You; Can Qin; Yang Sui; Huan Wang (CoRR, 2025)

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training. - Tianqing Fang; Zhisong Zhang; Xiaoyang Wang; Rui Wang 015; Can Qin; Yuxuan Wan; Jun-Yu Ma; Ce Zhang 009; Jiaqi Chen; Xiyun Li; Hongming Zhang 009; Haitao Mi; et al. (CoRR, 2025)