Building and supporting a massive data infrastructure for the masses. - Anurag Shankar; Gustav Meglicki; Jeff Russ; Haichuan Yang; E. Chris Garrison (SIGUCCS, 2002)

Label propagation hashing based on p-stable distribution and coordinate descent. - Haichuan Yang; Xiao Bai 001; Chuntian Liu; Jun Zhou 001 (ICIP, 2013)

Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. - Zhouxiao Guo; Haichuan Yang; Xiao Bai 001; Zhihong Zhang 001; Jun Zhou 001 (IGARSS, 2013)

Adaptive Object Retrieval with Kernel Reconstructive Hashing. - Haichuan Yang; Xiao Bai 001; Jun Zhou 001; Peng Ren 001; Zhihong Zhang 001; Jian Cheng 001 (CVPR, 2014)

Semi-randomized hashing for large scale data retrieval. - Haichuan Yang; Xiao Bai 001; Jun Zhou 001; Peng Ren 001; Jian Cheng 001; Lu Bai 001 (DSAA, 2014)

Data-Dependent Hashing Based on p-Stable Distribution. - Xiao Bai 001; Haichuan Yang; Jun Zhou 001; Peng Ren 001; Jian Cheng 001 (IEEE Trans. Image Process., 2014)

Isometric Mapping Hashing. - Yanzhen Liu; Xiao Bai 001; Haichuan Yang; Zhou Jun; Zhihong Zhang 001 (GbRPR, 2015)

Learning Graph Model for Different Dimensions Image Matching. - Haoyi Zhou; Xiao Bai 001; Jun Zhou 001; Haichuan Yang; Yun Liu 014 (GbRPR, 2015)

On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. - Haichuan Yang; Yijun Huang; Lam Tran; Ji Liu 002; Shuai Huang 001 (CVPR, 2016)

Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. - Haichuan Yang; Ryohei Fujimaki; Yukitaka Kusumura; Ji Liu 002 (KDD, 2016)

Maximum margin hashing with supervised information. - Haichuan Yang; Xiao Bai 001; Yanzhen Liu; Yanyang Wang; Lu Bai 001; Jun Zhou 001; Wenzhong Tang (Multim. Tools Appl., 2016)

On The Projection Operator to A Three-view Cardinality Constrained Set. - Haichuan Yang; Shupeng Gui; Chuyang Ke; Daniel Stefankovic; Ryohei Fujimaki; Ji Liu 002 (ICML, 2017)

A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. - Ke Ren; Haichuan Yang; Yu Zhao 019; Mingshan Xue; Hongyu Miao 001; Shuai Huang 001; Ji Liu 002 (CoRR, 2018)

End-to-End Learning of Energy-Constrained Deep Neural Networks. - Haichuan Yang; Yuhao Zhu 001; Ji Liu 002 (CoRR, 2018)

Marginal Policy Gradients for Complex Control. - Carson Eisenach; Haichuan Yang; Ji Liu 002; Han Liu 001 (CoRR, 2018)

ECC: Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. - Haichuan Yang; Yuhao Zhu 001; Ji Liu 002 (CoRR, 2018)

Adaptive hash retrieval with kernel based similarity. - Xiao Bai 001; Cheng Yan; Haichuan Yang; Lu Bai 001; Jun Zhou 001; Edwin Robert Hancock (Pattern Recognit., 2018)

ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. - Haichuan Yang; Yuhao Zhu 001; Ji Liu 002 (CVPR, 2019)

Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications. - Carson Eisenach; Haichuan Yang; Ji Liu 002; Han Liu 001 (ICLR (Poster), 2019)

Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking. - Haichuan Yang; Yuhao Zhu 001; Ji Liu 002 (ICLR (Poster), 2019)

Model Compression with Adversarial Robustness: A Unified Optimization Framework. - Shupeng Gui; Haotao Wang; Haichuan Yang; Chen Yu 009; Zhangyang Wang; Ji Liu 002 (NeurIPS, 2019)

Adversarially Trained Model Compression: When Robustness Meets Efficiency. - Shupeng Gui; Haotao Wang; Chen Yu 009; Haichuan Yang; Zhangyang Wang; Ji Liu 002 (CoRR, 2019)

Learning Sparsity and Quantization Jointly and Automatically for Neural Network Compression via Constrained Optimization. - Haichuan Yang; Shupeng Gui; Yuhao Zhu 001; Ji Liu 002 (CoRR, 2019)

A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification. - Ke Ren; Haichuan Yang; Yu Zhao 019; Wu Chen; Mingshan Xue; Hongyu Miao 001; Shuai Huang 001; Ji Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. - Haichuan Yang; Shupeng Gui; Yuhao Zhu 001; Ji Liu 002 (CVPR, 2020)

GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework. - Haotao Wang; Shupeng Gui; Haichuan Yang; Ji Liu 002; Zhangyang Wang (ECCV (4), 2020)

A Sine Cosine Algorithm Enhanced Spherical Evolution for Continuous Optimization Problems. - Pengxing Cai; Haichuan Yang; Yu Zhang; Yuki Todo; Zheng Tang; Shangce Gao (ISCID, 2020)

Spherical Evolution Enhanced with Salp Swarm Algorithm. - Zhen Li; Haichuan Yang; Zhiming Zhang; Yuki Todo; Shangce Gao (ISCID, 2020)

Using Grey Wolf Hunting Mechanism to Improve Spherical Search. - Sicheng Liu; Sichen Tao; Haichuan Yang; Lin Jiang; Yuki Todo; Shangce Gao (ISCID, 2020)

QCNN Inspired Reconfigurable Keyword Spotting Processor With Hybrid Data-Weight Reuse Methods. - Yu Gong; Yan Li 056; Xiaoling Ding; Haichuan Yang; Zilong Zhang; Xuan Zhang; Wei Ge; Zhen Wang 019; Bo Liu 019 (IEEE Access, 2020)

A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm. - Zhe Wang 032; Shangce Gao; Jiaxin Wang; Haichuan Yang; Yuki Todo (Comput. Intell. Neurosci., 2020)

Learning Simple Thresholded Features With Sparse Support Recovery. - Hongyu Xu; Zhangyang Wang; Haichuan Yang; Ding Liu 001; Ji Liu 002 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Mutual Error Compensation based Area and Power efficient Approximate Multiplier. - Renyuan Zhang; Xuetao Wang; Ziyu Wang; Anfeng Xue; Haichuan Yang; Yu Gong; Bo Liu 019 (ASICON, 2021)

Differential Whale Optimization Algorithm. - Tao Zheng; Baohang Zhang; Haichuan Yang; Jiayi Li; Shangce Gao (ICNSC, 2021)

PyTorchVideo: A Deep Learning Library for Video Understanding. - Haoqi Fan 001; Tullie Murrell; Heng Wang; Kalyan Vasudev Alwala; Yanghao Li; Yilei Li; Bo Xiong; Nikhila Ravi; Meng Li 004; Haichuan Yang; Jitendra Malik; Ross B. Girshick; et al. (ACM Multimedia, 2021)

A Novel Distributed Gravitational Search Algorithm With Multi-Layered Information Interaction. - Xiaosi Li; Haichuan Yang; Jiayi Li; Yirui Wang 001; Shangce Gao (IEEE Access, 2021)

Comparative Study on Single and Multiple Chaotic Maps Incorporated Grey Wolf Optimization Algorithms. - Zhe Xu 013; Haichuan Yang; Jiayi Li; Xingyi Zhang 002; Bo Lu; Shangce Gao (IEEE Access, 2021)

Noisy Training Improves E2E ASR for the Edge. - Dilin Wang; Yuan Shangguan; Haichuan Yang; Pierce Chuang; Jiatong Zhou; Meng Li 004; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (CoRR, 2021)

Low-Rank+Sparse Tensor Compression for Neural Networks. - Cole Hawkins; Haichuan Yang; Meng Li 004; Liangzhen Lai; Vikas Chandra (CoRR, 2021)

A Ladder Spherical Evolution Search Algorithm. - Haichuan Yang; Shangce Gao; Ronglong Wang; Yuki Todo (IEICE Trans. Inf. Syst., 2021)

Adaptive chaotic spherical evolution algorithm. - Lin Yang; Shangce Gao; Haichuan Yang; Zonghui Cai; Zhenyu Lei 002; Yuki Todo (Memetic Comput., 2021)

Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. - Haichuan Yang; Yuan Shangguan; Dilin Wang; Meng Li 004; Pierce Chuang; Xiaohui Zhang 007; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (ICASSP, 2022)

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. - Yonggan Fu; Haichuan Yang; Jiayi Yuan 001; Meng Li 004; Cheng Wan 005; Raghuraman Krishnamoorthi; Vikas Chandra; Yingyan Lin (ICML, 2022)

Hierarchical Water Wave Optimization. - Shibo Dong; Haichuan Yang; Haotian Li; Baohang Zhang; Sichen Tao; Shangce Gao (ICNSC, 2022)

An Immigration Strategy-based Spherical Search Algorithm. - Qingya Sui; Sichen Tao; Lin Zhong; Haichuan Yang; Zhenyu Lei 002; Shangce Gao (ICNSC, 2022)

A Population Resource Allocation-based Adaptive Spherical Search Algorithm. - Lin Zhong; Sichen Tao; Qingya Sui; Haichuan Yang; Zhenyu Lei 002; Shangce Gao (ICNSC, 2022)

Gravitational Search Algorithm With Hierarchical Structure Guided By Elite Individual. - Haotian Li; Yifei Yang; Haichuan Yang; Zheng Tang; Shangce Gao (ISCID, 2022)

A Novel Differential Evolution Sparrow Search Algorithm. - Yifei Yang; Haotian Li; Haichuan Yang; Baohang Zhang; Shangce Gao (ISCID, 2022)

An Optimal Differential Vector Incorporated Whale Optimizer. - Jiatianyi Yu; Haichuan Yang; Baohang Zhang; Shibo Dong; Shangce Gao (ISCID, 2022)

Learning a Dual-Mode Speech Recognition Model VIA Self-Pruning. - Chunxi Liu; Yuan Shangguan; Haichuan Yang; Yangyang Shi; Raghuraman Krishnamoorthi; Ozlem Kalinli (SLT, 2022)

PAIDDE: A Permutation-Archive Information Directed Differential Evolution Algorithm. - Xiaosi Li; Kaiyu Wang; Haichuan Yang; Sichen Tao; Shuai Feng; Shangce Gao (IEEE Access, 2022)

LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting. - Haichuan Yang; Zhaojun Yang; Li Wan; Biqiao Zhang; Yangyang Shi; Yiteng Huang; Ivaylo Enchev; Limin Tang; Raziel Alvarez; Ming Sun 013; Xin Lei; Raghuraman Krishnamoorthi; et al. (CoRR, 2022)

A Simple but Efficient Ranking-Based Differential Evolution. - Jiayi Li; Lin Yang; Junyan Yi; Haichuan Yang; Yuki Todo; Shangce Gao (IEICE Trans. Inf. Syst., 2022)

Spatial information sampling: another feedback mechanism of realising adaptive parameter control in meta-heuristic algorithms. - Haichuan Yang; Sichen Tao; Zhiming Zhang; Zonghui Cai; Shangce Gao (Int. J. Bio Inspired Comput., 2022)

An intelligent metaphor-free spatial information sampling algorithm for balancing exploitation and exploration. - Haichuan Yang; Yang Yu 013; Jiujun Cheng; Zhenyu Lei 002; Zonghui Cai; Zihang Zhang; Shangce Gao (Knowl. Based Syst., 2022)

Comparative Study of Hybridization and Parameter Tuning Improvement Methods for EAs in WFLOP. - Ziqing Ye; Haichuan Yang; Naoya Chiba; Koichi Hashimoto (CIIS, 2023)

Chaotic Mapping Genetic Algorithm with Multiple Strategies. - Qianyu Zhu; Yifei Yang; Haotian Li; Haichuan Yang; Baohang Zhang; Shangce Gao (ICACI, 2023)

Event-Triggered Consensus Control of Multi-Agent System under Periodic DoS Attacks. - Haichuan Yang; Minrui Fu; Ziquan Yu; Youmin Zhang 001 (MED, 2023)

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. - Wenxuan Zeng; Meng Li 004; Haichuan Yang; Wen-jie Lu; Runsheng Wang; Ru Huang 001 (NeurIPS, 2023)

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. - Wenxuan Zeng; Meng Li 004; Haichuan Yang; Wenjie Lu; Runsheng Wang; Ru Huang 001 (CoRR, 2023)

An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem. - Haichuan Yang; Shangce Gao; Zhenyu Lei 002; Jiayi Li; Yang Yu 013; Yirui Wang 001 (Eng. Appl. Artif. Intell., 2023)

Event-triggered resilient consensus control of multiple unmanned systems against periodic DoS attacks based on state predictor. - Haichuan Yang; Ziquan Yu; Youmin Zhang 001 (Secur. Saf., 2023)

A Non-Revisiting Equilibrium Optimizer Algorithm. - Baohang Zhang; Haichuan Yang; Tao Zheng; Ronglong Wang; Shangce Gao (IEICE Trans. Inf. Syst., 2023)

A Chaotic Local Search-Based Particle Swarm Optimizer for Large-Scale Complex Wind Farm Layout Optimization. - Zhenyu Lei 002; Shangce Gao; Zhiming Zhang; Haichuan Yang; Haotian Li (IEEE CAA J. Autom. Sinica, 2023)

A chaotic local search-based LSHADE with enhanced memory storage mechanism for wind farm layout optimization. - Yang Yu 013; Tengfei Zhang 001; Zhenyu Lei 002; Yirui Wang 001; Haichuan Yang; Shangce Gao (Appl. Soft Comput., 2023)

A Hyperparameter Self-Evolving SHADE-Based Dendritic Neuron Model for Classification. - Haichuan Yang; Yuxin Zhang; Chaofeng Zhang; Wei Xia; Yifei Yang; Zhenwei Zhang (Axioms, 2023)

Swarm Exploration Mechanism-Based Distributed Water Wave Optimization. - Haotian Li; Haichuan Yang; Baohang Zhang; Han Zhang; Shangce Gao (Int. J. Comput. Intell. Syst., 2023)

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. - Ganesh Jawahar; Haichuan Yang; Yunyang Xiong; Zechun Liu; Dilin Wang; Fei Sun; Meng Li 004; Aasish Pappu; Barlas Oguz; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Raghuraman Krishnamoorthi; et al. (ACL (Findings), 2024)

Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. - Haichuan Yang; Yifei Yang; Yuxin Zhang; Cheng Tang 001; Koichi Hashimoto; Yuichi Nagata (CEC, 2024)

TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. - Yuan Shangguan; Haichuan Yang; Danni Li; Chunyang Wu; Yassir Fathullah; Dilin Wang; Ayushi Dalmia; Raghuraman Krishnamoorthi; Ozlem Kalinli; Junteng Jia; Jay Mahadeokar; Xin Lei; et al. (ICASSP, 2024)

SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis. - Shentao Yang; Haichuan Yang; Linna Du; Adithya Ganesh; Bo Peng; Boying Liu; Serena Li; Ji Liu (CoRR, 2024)

Triple-layered chaotic differential evolution algorithm for layout optimization of offshore wave energy converters. - Zihang Zhang; Qianrui Yu; Haichuan Yang; Jiayi Li; Jiujun Cheng; Shangce Gao (Expert Syst. Appl., 2024)

EDNMs for Visual Analytics of Learning Behavior and Early Risk Prediction. - Cheng Tang 001; Bin Li; Haichuan Yang; Gen Li; Li Chen 032; Boxuan Ma; Atsushi Shimada 001 (AIED (2), 2025)

HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback. - Xufeng Cai; Ziwei Guan; Lei Yuan; Ali Selman Aydin; Tengyu Xu; Boying Liu; Wenbo Ren; Renkai Xiang; Songyi He; Haichuan Yang; Serena Li; Mingze Gao; et al. (KDD (1), 2025)

SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis. - Shentao Yang; Haichuan Yang; Linna Du; Adithya Ganesh; Bo Peng 009; Boying Liu; Serena Li; Ji Liu (KDD (1), 2025)

Hierarchical Chaotic Wingsuit Flying Search Algorithm with Balanced Exploitation and Exploration for Optimization. - Sicheng Liu; Kaiyu Wang; Haichuan Yang; Tao Zheng; Zhenyu Lei 002; Meng Jia; Shangce Gao (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)

A Nonlinear Dimensionality Reduction Search Improved Differential Evolution for large-scale optimization. - Yifei Yang; Haotian Li; Zhenyu Lei 002; Haichuan Yang; Jian Wang 010 (Swarm Evol. Comput., 2025)

Resilient Consensus Control for Multiple UAVs With Input Saturation Under DoS Attacks. - Haichuan Yang; Ziquan Yu; Minrui Fu; Youmin Zhang 001 (IEEE Trans. Cybern., 2025)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)

Chaotic map-coded metaheuristics for metameric variable-length problems. - Haichuan Yang; Haotian Li; Yifei Yang; Naoya Chiba; Shingo Kagami; Koichi Hashimoto; Yuichi Nagata (Genet. Program. Evolvable Mach., 2025)