| 2025 | CVPR | TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model. | Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan |
| 2025 | DAC | PreDAC: An Efficient Framework of Pre-Refining Enhanced Design Space Exploration for Approximate Computing. | Ziying Cui, Ke Chen, Bi Wu, Yu Gong, Chenggang Yan, Weiqiang Liu |
| 2025 | DAC | Rank-based Multi-objective Approximate Logic Synthesis via Monte Carlo Tree Search. | Yuyang Ye, Xiangfei Hu, Yuchen Liu, Peng Xu, Yu Gong, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi |
| 2025 | ISCAS | Exploring Teaching Methods for Courses on Radiation Hardening Technology in ICs. | You Wang, Erya Deng, Yu Gong, Zhongkun Shen, Chenghua Wang, Yijun Cui, Weiqiang Liu |
| 2025 | ISCAS | A High-Performance In-Memory Multi-Bit Adder Based on TST-MRAM. | Erya Deng, Zhongkun Shen, Yu Gong, Weiqiang Liu |
| 2025 | MICRO | Crane: Inter-Layer Scheduling Framework for DNN Inference and Training Co-Support on Tiled Architecture. | Yu Gong, Lingyi Huang, Haodong Chang, Rongjian Liang, Cheng Yang, Zhexiang Tang, Jiang Hu, Bo Yuan |
| 2025 | SMC | Combining Side-Channel Features with Deep Learning for Network Traffic Anomaly Detection. | Yu Gong, Min Li, Keyu Zhu, Chen Huang, Yuanfang Lu, Xiuwei Zhou |
| 2024 | ARITH | A Time Efficient Comprehensive Model of Approximate Multipliers for Design Space Exploration. | Ziying Cui, Ke Chen, Bi Wu, Chenggang Yan, Yu Gong, Weiqiang Liu |
| 2024 | DAC | Invited: Algorithm and Hardware Co-Design for Energy-Efficient Neural SLAM. | Lingyi Huang, Cheng Yang, Yu Gong, Yang Sui, Xiao Zang, Anthony Goeckner, Qi Zhu, Bo Yuan |
| 2024 | DATE | DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture. | Jianfeng Song, Rongjian Liang, Yu Gong, Bo Yuan, Jiang Hu |
| 2024 | ECAI | Dual Attention Encoder with Joint Preservation for Medical Image Segmentation. | Shijie Li, Yunbin Tu, Yu Gong, Bowen Zhong, Zheng Li |
| 2024 | EMNLP | MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. | Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan |
| 2024 | HPCA | MOPED: Efficient Motion Planning Engine with Flexible Dimension Support. | Lingyi Huang, Yu Gong, Yang Sui, Xiao Zang, Bo Yuan |
| 2024 | IJCNN | Full-Dimensional Optimizable Network: A Channel, Frame and Joint-Specific Network Modeling for Skeleton-Based Action Recognition. | Yu Gong, Yang Yang, Xuehao Gao, Shaoyi Du |
| 2024 | WACV | Embodied Human Activity Recognition. | Sha Hu, Yu Gong, Greg Mori |
| 2023 | AAAI | HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. | Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan |
| 2023 | CVPR | Accelerable Lottery Tickets with the Mixed-Precision Quantization. | Zhangheng Li, Yu Gong, Zhenyu Zhang, Xingyun Xue, Tianlong Chen, Yi Liang, Bo Yuan, Zhangyang Wang |
| 2023 | ICML | COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models. | Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan |
| 2023 | ISCA | ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks. | Yu Gong, Miao Yin, Lingyi Huang, Jinqi Xiao, Yang Sui, Chunhua Deng, Bo Yuan |
| 2022 | ACSSC | VLSI Hardware Architecture of Neural A* Path Planner. | Lingyi Huang, Xiao Zang, Yu Gong, Boyang Zhang, Bo Yuan |
| 2022 | CIKM | GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. | Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Shouling Ji |
| 2022 | CVPR | HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks. | Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan |
| 2022 | FPGA | N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. | Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang |
| 2022 | ICCAD | Hardware Architecture of Graph Neural Network-Enabled Motion Planner (Invited Paper). | Lingyi Huang, Xiao Zang, Yu Gong, Bo Yuan |
| 2022 | ICML | RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. | Yu Gong, Greg Mori, Frederick Tung |
| 2021 | AAAI | Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. | Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An |
| 2021 | AISTATS | Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. | Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori |
| 2021 | BMVC | MUSE: Feature Self-Distillation with Mutual Information and Self-Information. | Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen |
| 2021 | DATE | A 1D-CRNN Inspired Reconfigurable Processor for Noise-robust Low-power Keywords Recognition. | Bo Liu, Zeyu Shen, Lepeng Huang, Yu Gong, Zilong Zhang, Hao Cai |
| 2021 | VTC | Deep Reinforcement Learning for Edge Computing Resource Allocation in Blockchain Network Slicing Broker Framework. | Yu Gong, Siyuan Sun, Yifei Wei, Mei Song |
| 2020 | CIKM | EdgeRec: Recommender System on Edge in Mobile Taobao. | Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou |
| 2020 | GLOBECOM | Deep Reinforcement Learning Based Relay Selection in Delay-Constrained Secure Buffer-Aided CRNs. | Chong Huang, Gaojie Chen, Yu Gong, Peng Xu |
| 2020 | ISCAS | Binarized Weight Neural-Network Inspired Ultra-Low Power Speech Recognition Processor with Time-Domain Based Digital-Analog Mixed Approximate Computing. | Bo Liu, Hao Cai, Yu Gong, Wentao Zhu, Yan Li, Wei Ge, Zhen Wang |
| 2020 | KDD | Balanced Order Batching with Task-Oriented Graph Clustering. | Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu |
| 2020 | KDD | Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach. | Lu Duan, Yang Zhan, Haoyuan Hu, Yu Gong, Jiangwen Wei, Xiaodong Zhang, Yinghui Xu |
| 2019 | AAAI | Automatic Generation of Chinese Short Product Titles for Mobile Display. | Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan |
| 2019 | AAAI | Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant. | Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen |
| 2019 | CIKM | Conceptualize and Infer User Needs in E-commerce. | Xusheng Luo, Yonghua Yang, Kenny Qili Zhu, Yu Gong, Keping Yang |
| 2019 | CIKM | Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. | Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai |
| 2019 | ICLR | Variational Autoencoders with Jointly Optimized Latent Dependency Structure. | Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas M. Lehrmann |
| 2019 | KDD | Exact-K Recommendation via Maximal Clique Optimization. | Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu |
| 2019 | KDD | A Minimax Game for Instance based Selective Transfer Learning. | Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou |
| 2019 | NAACL | Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. | Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu |
| 2018 | CIKM | Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective. | Yunlun Yang, Yu Gong, Xi Chen |
| 2018 | SIGIR | Central Intention Identification for Natural Language Search Query in E-Commerce. | Xusheng Luo, Yu Gong, Xi Chen |
| 2017 | WCNC | Downlink Beamforming Design with Simultaneous Energy and Secure Information Transmission. | Ramadan Elsabae, Bokamoso Basutli, Yu Gong, Sangarapillai Lambotharan |
| 2017 | SIGIR | IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. | Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang |
| 2016 | AAAI | Representing Verbs as Argument Concepts. | Yu Gong, Kaiqi Zhao, Kenny Qili Zhu |
| 2015 | IJCNN | A constrained recursive least squares algorithm for adaptive combination of multiple models. | Xia Hong, Yu Gong |
| 2015 | VTC | Optimal Link Selection in Multi-Source and Multi-Destination Buffer-Aided Relay Network. | Wei Li, Zhi Chen, Yu Gong |
| 2015 | VTC | Optimal Power Allocation for Coordinated Transmission in Cognitive Radio Networks. | Yuefeng Li, Zhi Chen, Yu Gong |
| 2013 | GLOBECOM | Optimal power allocation for AF full-duplex relay in cognitive radio networks. | Yu Shi, Lin Zhang, Zhi Chen, Yu Gong, Gang Wu |
| 2013 | PIMRC | The optimal link selection for buffer-aided multiuser relay networks. | Xueshi Jiang, Zhi Chen, Yu Gong |
| 2011 | ICASSP | Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence. | Hao Chen, Yu Gong, Xia Hong |
| 2011 | IJCNN | B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. | Xia Hong, Yu Gong, Sheng Chen |
| 2011 | VTC | A Location Prediction Scheme Based on Social Correlation. | Yu Gong, Yong Li, Depeng Jin, Li Su, Lieguang Zeng |
| 2010 | PIMRC | Interference cancellation in two-path successive relay system with network coding. | Chunbo Luo, Yu Gong, Fu-Chun Zheng |
| 2009 | WCNC | Full interference cancellation for two-path cooperative communications. | Chunbo Luo, Yu Gong, Fuchun Zheng |
| 2008 | VTC | On the Design of Opportunistic Cooperative Transmission Strategies with Partial CSI Information. | Zhiguo Ding, Tharmalingam Ratnarajah, Yu Gong, Colin Cowan |
| 2007 | ITW | Opportunistic Cooperative Diversity Protocols for Wireless Networks. | Zhiguo Ding, Yu Gong, Tharm Ratnarajah, Colin F. N. Cowan |
| 2006 | ICASSP | MMSE Turbo Equalizer for Channels with Cochannel Interference. | Yu Gong, Zhiguo Ding, Colin F. N. Cowan |
| 2004 | ICASSP | A novel variable tap-length algorithm for linear adaptive filters. | Yu Gong, Colin F. N. Cowan |
| 2003 | ICASSP | Performance analysis of the unconstrained FxLMS algorithm for active noise control. | Yu Gong, Ying Song, Senjin Liu |
| 2001 | ETFA | Multi-layer state observers for condition systems. | Yu Gong, Lawrence E. Holloway |
| 2001 | ICASSP | Variable step-size LMS blind CDMA multiuser detector. | Yu Gong, Behrouz Farhang-Boroujeny, Teng Joon Lim |
| 2000 | ICASSP | Performance analysis of the LMS blind minimum-output-energy CDMA detector. | Yu Gong, Teng Joon Lim, Behrouz Farhang-Boroujeny |
| 1999 | WCNC | Convergence analysis of LMS multiuser CDMA detectors. | Teng Joon Lim, Yu Gong, Behrouz Farhang-Boroujeny |
| 1994 | INFOCOM | Dynamic Traffic Control Using Feedback and Traffic Prediction in ATM Networks. | Yu Gong, Ian F. Akyildiz |
| 1992 | INFOCOM | Design and Performance Analysis of a Dynamic Protocol Achieving User Fairness in High-Speed Dual-Bus Networks. | Yu Gong, Michael Paterakis |
| 1991 | INFOCOM | Performance Analysis of a Flexible Protocol Achieving User Fairness in High-Speed Dual-Bus Networks with Destination Release. | Yu Gong, Michael Paterakis |
| 1991 | INFOCOM | A Random Multiple-Access Algorithm for the Dependent Feedback Error Channel. | Yu Gong, Michael Paterakis |
| 1990 | INFOCOM | Performance Analysis of Random Access Multiuser Algorithms for Packets with Different Priorities. | Michael Paterakis, Yu Gong |