Can Qin - RankMe

97 papers A* 26A 3B 1C 2Journal 57Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Token Compression for Efficient Multimodal Large Language Models. Trans. Mach. Learn. Res. Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang
2026	A*	`conf`	DcSplat: Dual-Constraint Human Gaussian Splatting with Latent Multi-View Consistency. AAAI Tengfei Xiao, Yue Wu, Zhigang Gao, Yongzhe Yuan, Can Qin, Hao Li, Mingyang Zhang
2026	A*	`conf`	Hybrid Vector-Occupancy Field for Robust Implicit 3D Surface Reconstruction. AAAI Yue Wu, Zhigang Gao, Tengfei Xiao, Can Qin, Yongzhe Yuan, Hao Li, Kaiyuan Feng, Wenping Ma
2026	J	`jnl`	LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs. CoRR Keda Tao, Yuhua Zheng, Xu Jia, Wenjie Du, Kele Shao, Hesong Wang, Xueyi Chen, Xin Jin, Junhan Zhu, Bohan Yu, Weiqiang Wang, Jian Liu, Can Qin, Yulun Zhang, Ming-Hsuan Yang, Huan Wang
2026	J	`jnl`	VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. Trans. Mach. Learn. Res. Rui Meng, Ziyan Jiang, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Raghuveer Thirukovalluru, Xuan Zhang, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz
2025	J	`jnl`	Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning. CoRR Peng Xia, Kaide Zeng, Jiaqi Liu, Can Qin, Fang Wu, Yiyang Zhou, Caiming Xiong, Huaxiu Yao
2025	—	`conf`	BLIP-3: A Family of Open Large Multimodal Models. ICCVW Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2025	J	`jnl`	BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset. CoRR Jiuhai Chen, Zhiyang Xu, Xichen Pan, Yushi Hu, Can Qin, Tom Goldstein, Lifu Huang, Tianyi Zhou, Saining Xie, Silvio Savarese, Le Xue, Caiming Xiong, Ran Xu
2025	J	`jnl`	BLIP3o-NEXT: Next Frontier of Native Image Generation. CoRR Jiuhai Chen, Le Xue, Zhiyang Xu, Xichen Pan, Shusheng Yang, Can Qin, An Yan, Honglu Zhou, Zeyuan Chen, Lifu Huang, Tianyi Zhou, Junnan Li, Silvio Savarese, Caiming Xiong, Ran Xu
2025	J	`jnl`	CoDA: Coding LM via Diffusion Adaptation. CoRR Haolin Chen, Shiyu Wang, Can Qin, Bo Pang, Zuxin Liu, Jielin Qiu, Jianguo Zhang, Yingbo Zhou, Zeyuan Chen, Ran Xu, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang, Weiran Yao
2025	J	`jnl`	Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training. CoRR Tianqing Fang, Zhisong Zhang, Xiaoyang Wang, Rui Wang, Can Qin, Yuxuan Wan, Jun-Yu Ma, Ce Zhang, Jiaqi Chen, Xiyun Li, Hongming Zhang, Haitao Mi, Dong Yu
2025	J	`jnl`	Could AI Trace and Explain the Origins of AI-Generated Images and Text? CoRR Hongchao Fang, Yixin Liu, Jiangshu Du, Can Qin, Ran Xu, Feng Liu, Lichao Sun, Dongwon Lee, Lifu Huang, Wenpeng Yin
2025	A*	`conf`	Disentangled Pose and Appearance Guidance for Multi-Pose Generation. CVPR Tengfei Xiao, Yue Wu, Yuelong Li, Can Qin, Maoguo Gong, Qiguang Miao, Wenping Ma
2025	A*	`conf`	DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models. CVPR Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang
2025	J	`jnl`	HoliTom: Holistic Token Merging for Fast Video Large Language Models. CoRR Kele Shao, Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang
2025	J	`jnl`	MuseumMaker: Continual Style Customization Without Catastrophic Forgetting. IEEE Trans. Image Process. Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong
2025	J	`jnl`	Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models. CoRR Keda Tao, Haoxuan You, Yang Sui, Can Qin, Huan Wang
2025	J	`jnl`	Prediction of psychophysiological perception of driver in road tunnel using particle swarm optimization improved stacked denoising autoencoder model. Array Can Qin, Bo Liang, Jia'an Niu, Jinghang Xiao, Shuangkai Zhu, Haonan Long
2025	J	`jnl`	Triple Point Masking. IEEE Trans. Circuits Syst. Video Technol. Jiaming Liu, Linghe Kong, Yue Wu, Maoguo Gong, Hao Li, Qiguang Miao, Wenping Ma, Can Qin
2025	J	`jnl`	UNIDOC-BENCH: A Unified Benchmark for Document-Centric Multimodal RAG. CoRR Xiangyu Peng, Can Qin, Zeyuan Chen, Ran Xu, Caiming Xiong, Chien-Sheng Wu
2025	J	`jnl`	VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents. CoRR Rui Meng, Ziyan Jiang, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz
2025	J	`jnl`	When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios. CoRR Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang
2025	—	`conf`	Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding. ACL (Findings) Kung-Hsiang Huang, Can Qin, Haoyi Qiu, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
2025	J	`jnl`	Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding. CoRR Kung-Hsiang Huang, Can Qin, Haoyi Qiu, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
2024	J	`jnl`	DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models. CoRR Keda Tao, Can Qin, Haoxuan You, Yang Sui, Huan Wang
2024	A*	`conf`	HIVE: Harnessing Human Feedback for Instructional Visual Editing. CVPR Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
2024	A*	`conf`	M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. AAAI Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin
2024	J	`jnl`	MuseumMaker: Continual Style Customization without Catastrophic Forgetting. CoRR Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong
2024	J	`jnl`	SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation. IEEE Trans. Knowl. Data Eng. Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
2024	—	`conf`	SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. ECCV (9) Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao
2024	J	`jnl`	SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. CoRR Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao
2024	J	`jnl`	STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
2024	A*	`conf`	Self-Training Large Language and Vision Assistant for Medical Question Answering. EMNLP Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
2024	J	`jnl`	Triple Point Masking. CoRR Jiaming Liu, Linghe Kong, Yue Wu, Maoguo Gong, Hao Li, Qiguang Miao, Wenping Ma, Can Qin
2024	J	`jnl`	xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2024	J	`jnl`	xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. CoRR Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles
2024	—	`conf`	xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. ECCV Workshops (5) Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024	J	`jnl`	xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2023	J	`jnl`	Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. IEEE Trans. Image Process. Joseph P. Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu
2023	J	`jnl`	Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection. CoRR Haichao Zhang, Can Qin, Yu Yin, Yun Fu
2023	J	`jnl`	Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu
2023	J	`jnl`	Global layout optimization of star-tree gas gathering pipeline network via an improved genetic optimization algorithm. J. Intell. Fuzzy Syst. Jinghong Peng, Jun Zhou, Guangchuan Liang, Can Qin, Cao Peng, Yulin Chen, Chengqiang Hu
2023	A*	`conf`	GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. ICCV Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
2023	J	`jnl`	GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. CoRR Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
2023	J	`jnl`	HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
2023	A*	`conf`	Image as Set of Points. ICLR Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu
2023	J	`jnl`	Image as Set of Points. CoRR Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu
2023	J	`jnl`	M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking. CoRR Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Can Qin
2023	J	`jnl`	Making Reconstruction-based Method Great Again for Video Anomaly Detection. CoRR Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu
2023	A*	`conf`	Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CVPR Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu
2023	J	`jnl`	Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. CoRR Vibashan VS, Ning Yu, Chen Xing, Can Qin, Mingfei Gao, Juan Carlos Niebles, Vishal M. Patel, Ran Xu
2023	A*	`conf`	Momentum is All You Need for Data-Driven Adaptive Optimization. ICDM Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu
2023	A*	`conf`	UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
2023	J	`jnl`	UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
2023	J	`jnl`	Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning. CoRR Huan Wang, Can Qin, Yue Bai, Yun Fu
2022	J	`jnl`	A Close Look at Spatial Modeling: From Attention to Convolution. CoRR Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu
2022	A*	`conf`	External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu
2022	A*	`conf`	Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. ICLR Yulun Zhang, Huan Wang, Can Qin, Yun Fu
2022	A*	`conf`	Making Reconstruction-based Method Great Again for Video Anomaly Detection. ICDM Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu
2022	A*	`conf`	MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. IJCAI Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu
2022	A*	`conf`	Recent Advances on Neural Network Pruning at Initialization. IJCAI Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu
2022	A*	`conf`	Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. ICLR Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu
2022	J	`jnl`	Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework. CoRR Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu
2022	A	`conf`	Robust Semi-supervised Domain Adaptation against Noisy Labels. CIKM Can Qin, Yizhou Wang, Yun Fu
2022	A	`conf`	Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. CIKM Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
2022	J	`jnl`	Semi-Supervised Domain Adaptive Structure Learning. IEEE Trans. Image Process. Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
2021	J	`jnl`	Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. CoRR Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu
2021	A*	`conf`	Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. NeurIPS Yulun Zhang, Huan Wang, Can Qin, Yun Fu
2021	A*	`conf`	Aspect-based Sentiment Classification via Reinforcement Learning. ICDM Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
2021	J	`jnl`	Balancing Biases and Preserving Privacy on Balanced Faces in the Wild. CoRR Joseph P. Robinson, Can Qin, Yann Henon, Samson Timoner, Yun Fu
2021	A*	`conf`	Context Reasoning Attention Network for Image Super-Resolution. ICCV Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu
2021	A	`conf`	Contradictory Structure Learning for Semi-supervised Domain Adaptation. SDM Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
2021	J	`jnl`	Dynamical Isometry: The Missing Ingredient for Neural Network Pruning. CoRR Huan Wang, Can Qin, Yue Bai, Yun Fu
2021	J	`jnl`	Emerging Paradigms of Neural Network Pruning. CoRR Huan Wang, Can Qin, Yulun Zhang, Yun Fu
2021	A*	`conf`	Neural Pruning via Growing Regularization. ICLR Huan Wang, Can Qin, Yulun Zhang, Yun Fu
2021	J	`jnl`	SLA CoRR Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu
2021	J	`jnl`	Semi-Supervised Dual Relation Learning for Multi-Label Classification. IEEE Trans. Image Process. Lichen Wang, Yunyu Liu, Hang Di, Can Qin, Gan Sun, Yun Fu
2021	J	`jnl`	Semi-supervised Domain Adaptive Structure Learning. CoRR Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
2021	A*	`conf`	Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. NeurIPS Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu
2021	A*	`conf`	SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. ACM Multimedia Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu
2021	B	`conf`	The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. FG Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu
2021	J	`jnl`	The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. CoRR Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu
2020	J	`jnl`	Deep-Learning-Enabled Simulated Annealing for Topology Optimization. CoRR Changyu Deng, Can Qin, Wei Lu
2020	A*	`conf`	Dual Relation Semi-Supervised Multi-Label Learning. AAAI Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu
2020	—	`conf`	Face Recognition: Too Bias, or Not Too Bias? CVPR Workshops Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner
2020	J	`jnl`	Face Recognition: Too Bias, or Not Too Bias? CoRR Joseph P. Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner
2020	—	`conf`	Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning. ECCV (14) Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu
2020	J	`jnl`	Neural Pruning via Growing Regularization. CoRR Huan Wang, Can Qin, Yulun Zhang, Yun Fu
2020	J	`jnl`	Opposite Structure Learning for Semi-supervised Domain Adaptation. CoRR Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu
2020	J	`jnl`	Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training. Remote. Sens. Yue Wu, Guifeng Mu, Can Qin, Qiguang Miao, Wenping Ma, Xiangrong Zhang
2020	J	`jnl`	SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis. CoRR Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu
2019	—	`conf`	Generatively Inferential Co-Training for Unsupervised Domain Adaptation. ICCV Workshops Can Qin, Lichen Wang, Yulun Zhang, Yun Fu
2019	A*	`conf`	PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation. NeurIPS Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu
2019	J	`jnl`	PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation. CoRR Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu
2018	—	`conf`	Efficient Scene Labeling via Sparse Annotations. AAAI Workshops Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang
2017	C	`conf`	A Multi-objective Framework for Location Recommendation Based on User Preference. CIS Shanfeng Wang, Maoguo Gong, Can Qin, Junwei Yang
2017	C	`conf`	Local Probabilistic Matrix Factorization for Personal Recommendation. CIS Wenping Ma, Yue Wu, Maoguo Gong, Can Qin, Shanfeng Wang