Hao Kang

According to our database, Hao Kang authored at least 63 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading.

Jianming Tong, Hanshen Xiao, Krishna Kumar Nair, Hao Kang, Ashish Sirasao, Ziqi Zhang, G. Edward Suh, Tushar Krishna

CoRR, April, 2026

NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results.

Xin Li, Jiachao Gong, Xijun Wang, Shiyao Xiong, Bingchen Li, Suhang Yao, Chao Zhou, Zhibo Chen, Radu Timofte, Yuxiang Chen, Shibo Yin, Yilian Zhong, Yushun Fang, Xilei Zhu, Yahui Wang, Chen Lu, Meisong Zheng, Xiaoxu Chen, Jing Yang, Zhaokun Hu, Jiahui Liu, Ying Chen, Haoran Bai, Sibin Deng, Shengxi Li, Mai Xu, Junyang Chen, Hao Chen, Xinzhe Zhu, Fengkai Zhang, Long Sun, Yixing Yang, Xindong Zhang, Jiangxin Dong, Jinshan Pan, Jiyuan Zhang, Shuai Liu, Yibin Huang, Xiaotao Wang, Lei Lei, Zhirui Liu, Shinan Chen, Shang-Quan Sun, Wenqi Ren, Jingyi Xu, Zihong Chen, Zhuoya Zou, Xiuhao Qiu, Jingyu Ma, Huiyuan Fu, Kun Liu, Huadong Ma, Dehao Feng, Zhijie Ma, Boqi Zhang, Jiawei Shi, Hao Kang, Yixin Yang, Yeying Jin, Xu Cheng, Yuxuan Jiang, Chengxi Zeng, Tianhao Peng, Fan Zhang, David Bull, Yanan Xing, Jiachen Tu, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Yaokun Shi, Wei Zhou, Linfeng Li, Hang Song, Qi Xu, Kun Yuan, Yizhen Shao, Yulin Ren

CoRR, April, 2026

Benchmark Test-Time Scaling of General LLM Agents.

Xiaochuan Li, Ryan Ming, Pranav Setlur, Abhijay Paladugu, Andy Tang, Hao Kang, Shuai Shao, Rong Jin, Chenyan Xiong

CoRR, February, 2026

ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System.

Hao Kang, Ziyang Li, Xinyu Yang, Weili Xu, Yinfang Chen, Junxiong Wang, Beidi Chen, Tushar Krishna, Chenfeng Xu, Simran Arora

CoRR, February, 2026

ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing.

Hengjia Li, Liming Jiang, Qing Yan, Yizhi Song, Hao Kang, Zichuan Liu, Xin Lu, Boxi Wu, Deng Cai

CoRR, January, 2026

A multi-physics and data-driven neural network architecture for predicting rotor assembly accuracy in aeroengines under form-force coupling.

Hao Kang, Qingchao Sun, Jian Liu, Rongxuan Zhao, Fuhong Li, Bo Yuan, Xiaokai Mu

Adv. Eng. Informatics, 2026

2025

InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation.

Jinqi Xiao, Qing Yan, Liming Jiang, Zichuan Liu, Hao Kang, Shen Sang, Tiancheng Zhi, Jing Liu, Cheng Yang, Xin Lu, Bo Yuan

CoRR, December, 2025

StoryMem: Multi-shot Long Video Storytelling with Memory.

Kaiwen Zhang, Liming Jiang, Angtian Wang, Jacob Zhiyuan Fang, Tiancheng Zhi, Qing Yan, Hao Kang, Xin Lu, Xingang Pan

CoRR, December, 2025

OckBench: Measuring the Efficiency of LLM Reasoning.

Zheng Du, Hao Kang, Song Han, Tushar Krishna, Ligeng Zhu

CoRR, November, 2025

Slm-mux: Orchestrating small language models for reasoning.

Chenyu Wang, Zishen Wan, Hao Kang, Emma Chen, Zhiqiang Xie, Tushar Krishna, Vijay Janapa Reddi, Yilun Du

CoRR, October, 2025

FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models.

Hao Kang, Zichun Yu, Chenyan Xiong

CoRR, May, 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, May, 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

IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis.

Zichuan Liu, Liming Jiang, Qing Yan, Yumin Jia, Hao Kang, Xin Lu

CoRR, April, 2025

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results.

Lei Sun, Andrea Alfarano, Peiqi Duan, Shaolin Su, Kaiwei Wang, Boxin Shi, Radu Timofte, Danda Pani Paudel, Luc Van Gool, Qinglin Liu, Wei Yu, Xiaoqian Lv, Lu Yang, Shuigen Wang, Shengping Zhang, Xiangyang Ji, Long Bao, Yuqiang Yang, Jinao Song, Ziyi Wang, Shuang Wen, Heng Sun, Kean Liu, Mingchen Zhong, Senyan Xu, Zhijing Sun, Jiaying Zhu, Chengjie Ge, Xingbo Wang, Yidi Liu, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Dawei Fan, Dafeng Zhang, Yong Yang, Siru Zhang, Qinghua Yang, Hao Kang, Huiyuan Fu, Heng Zhang, Hongyuan Yu, Zhijuan Huang, Shuoyan Wei, Feng Li, Runmin Cong, Weiqi Luo, Mingyun Lin, Chenxu Jiang, Hongyi Liu, Lei Yu, Weilun Li, Jiajun Zhai, Tingting Lin, Shuang Ma, Sai Zhou, Zhanwen Liu, Yang Wang, Eiffel Chong, Nuwan Bandara, Thivya Kandappu, Archan Misra, Yihang Chen, Zhan Li, Weijun Yuan, Wenzhuo Wang, Boyang Yao, Zhanglu Chen, Yijing Sun, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Yukun Zhang, Yu He, Xiaoyan Xie, Tao Fu, Yashu Gautamkumar Patel, Vihar Ramesh Jain, Divesh Basina, Rishik Ashili, Manish Kumar Manjhi, Sourav Kumar, Prinon Benny, Himanshu Ghunawat, B. Sri Sairam Gautam, Anett Varghese, Abhishek Yadav

CoRR, April, 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, April, 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, April, 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, February, 2025

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression.

Souvik Kundu, Anahita Bhiwandiwalla, Sungduk Yu, Phillip Howard, Tiep Le, Sharath Nittur Sridhar, David Cobbley, Hao Kang, Vasudev Lal

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Interpret and Control Dense Retrieval with Sparse Latent Features.

Hao Kang, Tevin Wang, Chenyan Xiong

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

EvRAW: Event-guided Structural and Color Modeling for RAW-to-sRGB Image Reconstruction.

Wenli Zheng, Huiyuan Fu, Xicong Wang, Hao Kang, Chuanming Wang, Jin Liu, Zekai Xu, Heng Zhang, Huadong Ma

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution.

Zhiqiang Xie, Hao Kang, Ying Sheng, Tushar Krishna, Kayvon Fatahalian, Christos Kozyrakis

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

TurboAttention: Efficient attention approximation for high throughputs llm.

Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity.

Liming Jiang, Qing Yan, Yumin Jia, Zichuan Liu, Hao Kang, Xin Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ResearchArena: Benchmarking Large Language Models' Ability to Collect and Organize Information as Research Agents.

Hao Kang, Chenyan Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results.

Lei Sun, Andrea Alfarano, Peiqi Duan, Shaolin Su, Kaiwei Wang, Boxin Shi, Radu Timofte, Danda Pani Paudel, Luc Van Gool, Qinglin Liu, Wei Yu, Xiaoqian Lv, Lu Yang, Shuigen Wang, Shengping Zhang, Xiangyang Ji, Long Bao, Yuqiang Yang, Jinao Song, Ziyi Wang, Shuang Wen, Heng Sun, Kean Liu, Mingchen Zhong, Senyan Xu, Zhijing Sun, Jiaying Zhu, Chengjie Ge, Xingbo Wang, Yidi Liu, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Dawei Fan, Dafeng Zhang, Yong Yang, Siru Zhang, Qinghua Yang, Hao Kang, Huiyuan Fu, Heng Zhang, Hongyuan Yu, Zhijuan Huang, Shouyan Wei, Feng Li, Runmin Cong, Weiqi Luo, Mingyun Lin, Chenxu Jiang, Hongyi Liu, Lei Yu, Weilun Li, Jiajun Zhai, Tingting Lin, Shuang Ma, Sai Zhou, Zhanwen Liu, Yang Wang, Eiffel Chong, Nuwan Bandara, Thivya Kandappu, Archan Misra, Yihang Chen, Zhan Li, Weijun Yuan, Wenzhuo Wang, Boyang Yao, Zhanglu Chen, Yijing Sun, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Yukun Zhang, Yu He, Xiaoyan Xie, Tao Fu, Yashu Guatamkumar Patel, Vihar Ramesh Jain, Divesh Basina, Rishik Ashili, Manish Kumar Manjhi, Sourav Kumar, Prinon Benny, Himanshu Ghunawat, B. Sri Sairam Gautam, Anett Varghese, Abhishek Yadav

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Lattice-based cryptanalysis of RSA-type cryptosystems: a bibliometric analysis.

Mengce Zheng, Hao Kang

Cybersecur., December, 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

Comput. Aided Civ. Infrastructure Eng., August, 2024

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs.

Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan

CoRR, 2024

ResearchArena: Benchmarking LLMs' Ability to Collect and Organize Information as Research Agents.

Hao Kang, Chenyan Xiong

CoRR, 2024

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM.

Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao

CoRR, 2024

MSCC: Multi-Scale Transformers for Camera Calibration.

Xu Song, Hao Kang, Atsunori Moteki, Genta Suzuki, Yoshie Kobayashi, Zhiming Tan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Enhancing Implicit Shape Generators Using Topological Regularizations.

Liyan Chen, Yan Zheng, Yang Li, Lohit Anirudh Jagarapu, Haoxiang Li, Hao Kang, Gang Hua, Qixing Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GEAR: An Efficient Error Reduction Framework for KV Cache Compression in LLM Inference.

Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

UGG: Unified Generative Grasping.

Jiaxin Lu, Hao Kang, Haoxiang Li, Bo Liu, Yiding Yang, Qixing Huang, Gang Hua

Proceedings of the Computer Vision - ECCV 2024, 2024

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, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generalized Cryptanalysis of Cubic Pell RSA.

Hao Kang, Mengce Zheng

Proceedings of the Information Security and Cryptology - 20th International Conference, 2024

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., April, 2023

GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content.

Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, Bhiksha Raj

CoRR, 2023

Towards Sustainable Learning: Coresets for Data-efficient Deep Learning.

Yu Yang, Hao Kang, Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2023

Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning.

Siming Yan, Zhenpei Yang, Haoxiang Li, Chen Song, Li Guan, Hao Kang, Gang Hua, Qixing Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Token Prediction as Implicit Classification to Identify LLM-Generated Text.

Yutian Chen, Hao Kang, Vivian Zhai, Liangze Li, Rita Singh, Bhiksha Raj

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Implicit Autoencoder for Point Cloud Self-supervised Representation Learning.

Siming Yan, Zhenpei Yang, Haoxiang Li, Li Guan, Hao Kang, Gang Hua, Qixing Huang

CoRR, 2022

Mode-localized accelerometer with ultrahigh sensitivity.

Hao Kang, Bing Ruan, Yongcun Hao, Honglong Chang

Sci. China Inf. Sci., 2022

Multi-vehicle Tracking System Based on Structured and Cascade Control.

Chengliang Wu, Hao Kang, Xiuping Wang

Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition.

Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

Proceedings of the Computer Vision, 2022

2021

Semi-supervised Long-tailed Recognition using Alternate Sampling.

Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua

CoRR, 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, Gang Hua

CoRR, 2021

GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition.

Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Nonlinear Physiologically Structured Population Models with Two Internal Variables.

Hao Kang, Xi Huo, Shigui Ruan

J. Nonlinear Sci., 2020

Few-Shot Open-Set Recognition Using Meta-Learning.

Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Model Establishment of Decision Tree Algorithm and Its Application in Vehicle Fault Prediction Analysis.

Hao Kang, Youyi Chen, Hailong Zhao

Proceedings of the 5th International Conference on Automation, 2020

2019

LeRoP: A Learning-Based Modular Robot Photography Framework.

Hao Kang, Jianming Zhang, Haoxiang Li, Zhe Lin, T. J. Rhodes, Bedrich Benes

CoRR, 2019

PTRM: Perceived Terrain Realism Metrics.

Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Martin Cadík, Eric Galin, Eric Guérin, Adrien Peytavie, Pavel Slavík

CoRR, 2019

2018

FlyCam: Multitouch Gesture Controlled Drone Gimbal Photography.

Hao Kang, Haoxiang Li, Jianming Zhang, Xin Lu, Bedrich Benes

IEEE Robotics Autom. Lett., 2018

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

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

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

A mode-localized accelerometer based on three degree-of-freedom weakly coupled resonator.

Hao Kang, Jing Yang, Jiming Zhong, Heming Zhang, Honglong Chang

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

2015

Inferring Sequential Order of Somatic Mutations during Tumorgenesis based on Markov Chain Model.

Hao Kang, Kwang-Hyun Cho, Xiaohua Douglas Zhang, Tao Zeng, Luonan Chen

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

2014

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, Mingliang Yang, Xiaolong Wang, Chenyang Xue, Jun Liu, Wendong Zhang

Sensors, 2014

2013

A Wireless Passive Pressure Microsensor Fabricated in HTCC MEMS Technology for Harsh Environments.

Qiulin Tan, Hao Kang, Jijun Xiong, Li Qin, Wendong Zhang, Chen Li, Liqiong Ding, Xiansheng Zhang, Mingliang Yang

Sensors, 2013

2011

The Application of Neural Network in the Intelligent Fault Diagnosis System.

Ming Chang, Hongwei Chen, Yingying Wang, Yueou Ren, Hao Kang

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011