The Application of Neural Network in the Intelligent Fault Diagnosis System. - Ming Chang; Hongwei Chen; Yingying Wang; Yueou Ren; Hao Kang (CIS, 2011)

A Wireless Passive Pressure Microsensor Fabricated in HTCC MEMS Technology for Harsh Environments. - Qiulin Tan; Hao Kang; Jijun Xiong; Li Qin; Wendong Zhang 001; Chen Li 036; Liqiong Ding; Xiansheng Zhang; Mingliang Yang (Sensors, 2013)

A Harsh Environment-Oriented Wireless Passive Temperature Sensor Realized by LTCC Technology. - Qiu-lin Tan; Tao Luo; Jijun Xiong; Hao Kang; Xiaxia Ji; Yang Zhang 023; Mingliang Yang; Xiaolong Wang; Chenyang Xue; Jun Liu 005; Wendong Zhang 001 (Sensors, 2014)

Inferring Sequential Order of Somatic Mutations during Tumorgenesis based on Markov Chain Model. - Hao Kang; Kwang-Hyun Cho; Xiaohua Douglas Zhang; Tao Zeng 003; Luonan Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

A mode-localized accelerometer based on three degree-of-freedom weakly coupled resonator. - Hao Kang; Jing Yang; Jiming Zhong; Heming Zhang 007; Honglong Chang (IEEE SENSORS, 2017)

Algebraic summation of eigenstates as a novel output metric to extend the linear sensing range of mode-localized sensors. - Hemin Zhang; Jiming Zhong; Jing Yang; Weizheng Yuan; Hao Kang; Honglong Chang (IEEE SENSORS, 2017)

Understanding and Exploiting Object Interaction Landscapes. - Sören Pirk; Vojtech Krs; Kai-Mo Hu; Suren Deepak Rajasekaran; Hao Kang; Yusuke Yoshiyasu; Bedrich Benes; Leonidas J. Guibas (ACM Trans. Graph., 2017)

FlyCam: Multitouch Gesture Controlled Drone Gimbal Photography. - Hao Kang; Haoxiang Li; Jianming Zhang 001; Xin Lu 006; Bedrich Benes (IEEE Robotics Autom. Lett., 2018)

PTRM: Perceived Terrain Realism Metrics. - Suren Deepak Rajasekaran; Hao Kang; Bedrich Benes; Martin Cadík; Eric Galin; Eric Guérin; Adrien Peytavie; Pavel Slavík (CoRR, 2019)

LeRoP: A Learning-Based Modular Robot Photography Framework. - Hao Kang; Jianming Zhang 001; Haoxiang Li; Zhe Lin 001; T. J. Rhodes; Bedrich Benes (CoRR, 2019)

Model Establishment of Decision Tree Algorithm and Its Application in Vehicle Fault Prediction Analysis. - Hao Kang; Youyi Chen; Hailong Zhao (CACRE, 2020)

Few-Shot Open-Set Recognition Using Meta-Learning. - Bo Liu 043; Hao Kang; Haoxiang Li; Gang Hua 001; Nuno Vasconcelos (CVPR, 2020)

Nonlinear Physiologically Structured Population Models with Two Internal Variables. - Hao Kang; Xi Huo; Shigui Ruan (J. Nonlinear Sci., 2020)

GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. - Bo Liu 043; Haoxiang Li; Hao Kang; Gang Hua 001; Nuno Vasconcelos (ICCV, 2021)

Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas. - Wei Wei; Li Guan; Yue Liu; Hao Kang; Haoxiang Li; Ying Wu 001; Gang Hua 001 (CoRR, 2021)

Semi-supervised Long-tailed Recognition using Alternate Sampling. - Bo Liu 043; Haoxiang Li; Hao Kang; Nuno Vasconcelos; Gang Hua 001 (CoRR, 2021)

Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition. - Bo Liu 043; Haoxiang Li; Hao Kang; Gang Hua 001; Nuno Vasconcelos (ECCV (24), 2022)

Multi-vehicle Tracking System Based on Structured and Cascade Control. - Chengliang Wu; Hao Kang; Xiuping Wang (ICISCAE, 2022)

Mode-localized accelerometer with ultrahigh sensitivity. - Hao Kang; Bing Ruan; Yongcun Hao; Honglong Chang (Sci. China Inf. Sci., 2022)

Implicit Autoencoder for Point Cloud Self-supervised Representation Learning. - Siming Yan; Zhenpei Yang; Haoxiang Li; Li Guan; Hao Kang; Gang Hua 001; Qixing Huang (CoRR, 2022)

PTRM: Perceived Terrain Realism Metric. - Suren Deepak Rajasekaran; Hao Kang; Martin Cadík; Eric Galin; Eric Guérin; Adrien Peytavie; Pavel Slavík; Bedrich Benes (ACM Trans. Appl. Percept., 2022)

Token Prediction as Implicit Classification to Identify LLM-Generated Text. - Yutian Chen; Hao Kang; Vivian Zhai; Liangze Li; Rita Singh; Bhiksha Raj (EMNLP, 2023)

Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning. - Siming Yan; Zhenpei Yang; Haoxiang Li; Chen Song; Li Guan; Hao Kang; Gang Hua 001; Qixing Huang (ICCV, 2023)

Towards Sustainable Learning: Coresets for Data-efficient Deep Learning. - Yu Yang 007; Hao Kang; Baharan Mirzasoleiman (ICML, 2023)

GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content. - Yutian Chen; Hao Kang; Vivian Zhai; Liangze Li; Rita Singh; Bhiksha Raj (CoRR, 2023)

Why Increase of Heterogeneity Signals Pre-Deterioration During Tumor Progression: A Unified Mathematical Model. - Yuanling Niu; Hao Kang; Pingyang Wang; Chenchen Guo; Fan Nie; Hongbin Ji; Jiarui Wu; Luonan Chen (SIAM J. Appl. Math., 2023)

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision. - Lu Ling; Yichen Sheng; Zhi Tu; Wentian Zhao; Cheng Xin; Kun Wan 001; Lantao Yu; Qianyu Guo; Zixun Yu; Yawen Lu; Xuanmao Li; Xingpeng Sun; et al. (CVPR, 2024)

UGG: Unified Generative Grasping. - Jiaxin Lu 001; Hao Kang; Haoxiang Li; Bo Liu 043; Yiding Yang; Qixing Huang; Gang Hua 001 (ECCV (67), 2024)

GEAR: An Efficient Error Reduction Framework for KV Cache Compression in LLM Inference. - Hao Kang; Qingru Zhang; Souvik Kundu 009; Geonhwa Jeong; Zaoxing Liu; Tushar Krishna; Tuo Zhao (ENLSP, 2024)

Enhancing Implicit Shape Generators Using Topological Regularizations. - Liyan Chen; Yan Zheng; Yang Li 104; Lohit Anirudh Jagarapu; Haoxiang Li; Hao Kang; Gang Hua 001; Qixing Huang (ICML, 2024)

MSCC: Multi-Scale Transformers for Camera Calibration. - Xu Song; Hao Kang; Atsunori Moteki; Genta Suzuki; Yoshie Kobayashi; Zhiming Tan (WACV, 2024)

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM. - Hao Kang; Qingru Zhang; Souvik Kundu 009; Geonhwa Jeong; Zaoxing Liu; Tushar Krishna; Tuo Zhao (CoRR, 2024)

ResearchArena: Benchmarking LLMs' Ability to Collect and Organize Information as Research Agents. - Hao Kang; Chenyan Xiong (CoRR, 2024)

AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution. - Zhiqiang Xie; Hao Kang; Ying Sheng 007; Tushar Krishna; Kayvon Fatahalian; Christos Kozyrakis (CoRR, 2024)

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs. - Hao Kang; Srikant Bharadwaj; James Hensman; Tushar Krishna; Victor Rühle; Saravan Rajmohan (CoRR, 2024)

Generalized Cryptanalysis of Cubic Pell RSA. - Hao Kang; Mengce Zheng (IACR Cryptol. ePrint Arch., 2024)

A response-compatible ground motion generation method using physics-guided neural networks. - Youshui Miao; Hao Kang; Wei Hou; Yang Liu; Yixin Zhang; Cheng Wang 020 (Comput. Aided Civ. Infrastructure Eng., 2024)

Lattice-based cryptanalysis of RSA-type cryptosystems: a bibliometric analysis. - Mengce Zheng; Hao Kang (Cybersecur., 2024)

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results. - Lei Sun 016; Andrea Alfarano; Peiqi Duan; Shaolin Su; Kaiwei Wang; Boxin Shi; Radu Timofte; Danda Pani Paudel; Luc Van Gool; Qinglin Liu; Wei Yu; Xiaoqian Lv; et al. (CVPR Workshops, 2025)

Interpret and Control Dense Retrieval with Sparse Latent Features. - Hao Kang; Tevin Wang; Chenyan Xiong (NAACL (Short Papers), 2025)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression. - Souvik Kundu 002; Anahita Bhiwandiwalla; Sungduk Yu; Phillip Howard; Tiep Le; Sharath Nittur Sridhar; David Cobbley; Hao Kang; Vasudev Lal (NAACL (Findings), 2025)

COSMOS: A Hybrid Adaptive Optimizer for Memory-Efficient Training of LLMs. - Liming Liu; Zhenghao Xu; Zixuan Zhang; Hao Kang; Zichong Li; Chen Liang; Weizhu Chen; Tuo Zhao (CoRR, 2025)

InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity. - Liming Jiang; Qing Yan; Yumin Jia; Zichuan Liu; Hao Kang; Xin Lu (CoRR, 2025)

BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers. - Rui Zhang; Liang Li; Stéphane Lanteri; Hao Kang; Jiaqi Li (CoRR, 2025)

Flux Already Knows - Activating Subject-Driven Image Generation without Training. - Hao Kang; Stathi Fotiadis; Liming Jiang; Qing Yan; Yumin Jia; Zichuan Liu; Min Jin Chong; Xin Lu (CoRR, 2025)

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results. - Lei Sun 016; Andrea Alfarano; Peiqi Duan; Shaolin Su; Kaiwei Wang; Boxin Shi; Radu Timofte; Danda Pani Paudel; Luc Van Gool; Qinglin Liu; Wei Yu; Xiaoqian Lv; et al. (CoRR, 2025)

Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis. - Zichuan Liu; Liming Jiang; Qing Yan; Yumin Jia; Hao Kang; Xin Lu (CoRR, 2025)

Glissando-Net: Deep Single View Category Level Pose Estimation and 3D Reconstruction. - Bo Sun; Hao Kang; Li Guan; Haoxiang Li; Philippos Mordohai; Gang Hua 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs. - Hao Kang; Qingru Zhang; Han Cai; Weiyuan Xu; Tushar Krishna; Yilun Du; Tsachy Weissman (CoRR, 2025)

FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models. - Hao Kang; Zichun Yu; Chenyan Xiong (CoRR, 2025)