A new secure M+1st price auction scheme. - Peng Zhang; Xueying Ma; Chengqing Ye; Yanhua Cheng (SMC, 2005)

Time-optimal controller for AQM router supporting TCP flows with small RTT. - Peng Zhang; Chengqing Ye; Xin Li; Yanhua Cheng (SMC, 2005)

Rapid Planning Method for Robot Assited Minimally Invasive Surgery. - Yanhua Cheng; Chun Gong; Can Tang; Jianwei Zhang 001; Sheng Cheng (LSMS/ICSEE, 2010)

Semi-supervised Learning for RGB-D Object Recognition. - Yanhua Cheng; Xin Zhao 012; Kaiqi Huang; Tieniu Tan (ICPR, 2014)

Convolutional Fisher Kernels for RGB-D Object Recognition. - Yanhua Cheng; Rui Cai 002; Xin Zhao 012; Kaiqi Huang (3DV, 2015)

3D Object Retrieval with Multimodal Views. - Yue Gao 002; Anan Liu; Weizhi Nie; Yuting Su 001; Qionghai Dai; Fuhai Chen; Yingying Chen 003; Yanhua Cheng; Shuilong Dong; Xingyue Duan; Jianlong Fu; Zan Gao; et al. (3DOR@Eurographics, 2015)

Query Adaptive Similarity Measure for RGB-D Object Recognition. - Yanhua Cheng; Rui Cai 002; Chi Zhang 069; Zhiwei Li 006; Xin Zhao 012; Kaiqi Huang; Yong Rui (ICCV, 2015)

MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation. - Chi Zhang 069; Zhiwei Li 006; Yanhua Cheng; Rui Cai 002; Hongyang Chao; Yong Rui (ICCV, 2015)

Semi-supervised learning and feature evaluation for RGB-D object recognition. - Yanhua Cheng; Xin Zhao 012; Kaiqi Huang; Tieniu Tan (Comput. Vis. Image Underst., 2015)

Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition. - Yanhua Cheng; Xin Zhao 012; Rui Cai 002; Zhiwei Li 006; Kaiqi Huang; Yong Rui (IJCAI, 2016)

Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation. - Yanhua Cheng; Rui Cai 002; Zhiwei Li 006; Xin Zhao 012; Kaiqi Huang (CVPR, 2017)

Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation. - Yabei Li; Junge Zhang; Yanhua Cheng; Kaiqi Huang; Tieniu Tan (ICIP, 2017)

DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification. - Yabei Li; Junge Zhang; Yanhua Cheng; Kaiqi Huang; Tieniu Tan (AAAI, 2018)

MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification. - Yabei Li; Zhang Zhang 001; Yanhua Cheng; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2019)

Corrigendum to "MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification" [Pattern Recognition 90 (2019) 436-449]. - Yabei Li; Zhang Zhang 001; Yanhua Cheng; Liang Wang 001; Tieniu Tan (Pattern Recognit., 2019)

3rd Place Solution to "Google Landmark Retrieval 2020". - Ke Mei; Lei li; Jinchang Xu; Yanhua Cheng; Yugeng Lin (CoRR, 2020)

Cross-Domain Product Representation Learning for Rich-Content E-Commerce. - Xuehan Bai; Yan Li 043; Yanhua Cheng; Wenjie Yang; Quan Chen 006; Han Li 005 (ICCV, 2023)

Cross-view Semantic Alignment for Livestreaming Product Recognition. - Wenjie Yang; Yiyi Chen; Yan Li 043; Yanhua Cheng; Xudong Liu; Quan Chen 006; Han Li 005 (ICCV, 2023)

Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning. - Kaibin Tian; Yanhua Cheng; Yi Liu; Xinglin Hou; Quan Chen 006; Han Li 005 (AAAI, 2024)

Spatiotemporal Fine-grained Video Description for Short Videos. - Te Yang; Jian Jia; Bo Wang 071; Yanhua Cheng; Yan Li 043; Dongze Hao; Xipeng Cao; Quan Chen 006; Han Li 005; Peng Jiang 002; Xiangyu Zhu 001; Zhen Lei 001 (ACM Multimedia, 2024)

Knowledge Condensation and Reasoning for Knowledge-based VQA. - Dongze Hao; Jian Jia; Longteng Guo; Qunbo Wang; Te Yang; Yan Li 043; Yanhua Cheng; Bo Wang 011; Quan Chen 006; Han Li 005; Jing Liu 001 (CoRR, 2024)

Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy. - Te Yang; Jian Jia; Xiangyu Zhu 001; Weisong Zhao; Bo Wang 011; Yanhua Cheng; Yan Li 043; Shengyuan Liu; Quan Chen 006; Peng Jiang 002; Kun Gai; Zhen Lei 001 (CoRR, 2024)

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain. - Rui Xia; Yanhua Cheng; Yongxiang Tang; Xiaocheng Liu; Xialong Liu; Lisong Wang; Peng Jiang (WSDM, 2025)

Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement. - Hao Jiang; Yongxiang Tang; Yanxiang Zeng; Pengjia Yuan; Yanhua Cheng; Teng Sha; Xialong Liu; Peng Jiang 002 (WWW (Companion Volume), 2025)

EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding. - Kaiyuan Li; Pengyu Wang; Yunshan Peng; Pengjia Yuan; Yanxiang Zeng; Rui Xiang; Yanhua Cheng; Xialong Liu; Peng Jiang (WWW (Companion Volume), 2025)

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems. - Wenzheng Shu; Yanxiang Zeng; Yongxiang Tang; Teng Sha; Ning Luo; Yanhua Cheng; Xialong Liu; Fan Zhou 002; Peng Jiang 002 (WWW (Companion Volume), 2025)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation. - Kaiyuan Li; Rui Xiang; Yong Bai; Yongxiang Tang; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

CHIME: A Compressive Framework for Holistic Interest Modeling. - Yong Bai; Rui Xiang; Kaiyuan Li; Yongxiang Tang; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

Learning Monotonic Probabilities with a Generative Cost Model. - Yongxiang Tang; Yanhua Cheng; Xiaocheng Liu; Chenchen Jiao; Yanxiang Zeng; Ning Luo; Pengjia Yuan; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding. - Kaiyuan Li; Pengyu Wang; Yunshan Peng; Pengjia Yuan; Yanxiang Zeng; Rui Xiang; Yanhua Cheng; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

INFNet: A Task-aware Information Flow Network for Large-Scale Recommendation Systems. - Kaiyuan Li; Dongdong Mao; Yongxiang Tang; Yanhua Cheng; Yanxiang Zeng; Chao Wang; Xialong Liu; Peng Jiang 002 (CoRR, 2025)