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Zihao He
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2020 – today
- 2024
- [j12]Zihao He, Dongyao Jia, Chuanwang Zhang, Ziqi Li, Nengkai Wu:
A two-stage approach solo_GAN for overlapping cervical cell segmentation based on single-cell identification and boundary generation. Appl. Intell. 54(6): 4621-4645 (2024) - [j11]Zihao He, Dongyao Jia, Chuanwang Zhang, Ziqi Li, Nengkai Wu:
An automatic Darknet-based immunohistochemical scoring system for IL-24 in lung cancer. Eng. Appl. Artif. Intell. 128: 107485 (2024) - [j10]Chuanwang Zhang, Dongyao Jia, Ziqi Li, Nengkai Wu, Zihao He, Hong Jiang, Qiong Yan:
Esophageal cancer detection framework based on time series information from smear images. Expert Syst. Appl. 238(Part F): 122362 (2024) - [j9]Zihao He, Zhi-Yong Wang, Jinming Wen, Hing Cheung So:
Non-negative Sparse Recovery via Momentum-Boosted Adaptive Thresholding Algorithm. J. Sci. Comput. 101(2): 47 (2024) - [j8]Zihao He, Qianyu Shu, Yinghua Wang, Jinming Wen:
A ReLU-based hard-thresholding algorithm for non-negative sparse signal recovery. Signal Process. 215: 109260 (2024) - [j7]Jian Wang, Xinqi Li, Lihui Zhou, Jiafu Chen, Zihao He, Linyang Guo, Jie Liu:
Adaptive Receptive Field Enhancement Network Based on Attention Mechanism for Detecting the Small Target in the Aerial Image. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [c22]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Whose Emotions and Moral Sentiments do Language Models Reflect? ACL (Findings) 2024: 6611-6631 - [c21]Hsien-Te Kao, Isabel Erickson, Minh Duc Hoang Chu, Zihao He, Kristina Lerman, Svitlana Volkova:
Machine Learning Insights Into Eating Disorder Twitter Communities. CHI Extended Abstracts 2024: 233:1-233:8 - [c20]Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman:
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. EACL (Findings) 2024: 1523-1536 - [c19]Zihao He, Minh Duc Chu, Rebecca Dorn, Siyi Guo, Kristina Lerman:
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities. EMNLP 2024: 17001-17019 - [c18]Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman:
How Susceptible are Large Language Models to Ideological Manipulation? EMNLP 2024: 17140-17161 - [c17]Zihao He, Qianyu Shu, Jinming Wen, Hing Cheung So:
A Novel Iterative Thresholding Algorithm for Arctangent Regularization Problem. ICASSP 2024: 9651-9655 - [c16]Zihao He, Shengchuan Zhang:
ESR-DDLN : Enhanced Single Image Super-Resolution Via Dual-Domain Learning Network. ICME 2024: 1-6 - [c15]Keith Burghardt, Ashwin Rao, Georgios Chochlakis, Sabyasachee Baruah, Siyi Guo, Zihao He, Andrew Rojecki, Shrikanth Narayanan, Kristina Lerman:
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. ICWSM 2024: 164-176 - [c14]Zihao He, Jonathan May, Kristina Lerman:
CPL-NoViD: Context-Aware Prompt-Based Learning for Norm Violation Detection in Online Communities. ICWSM 2024: 569-582 - [c13]Kai Chen, Zihao He, Keith Burghardt, Jingxin Zhang, Kristina Lerman:
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. ICWSM 2024: 1900-1912 - [i22]Siyi Guo, Zihao He, Ashwin Rao, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape. CoRR abs/2401.06275 (2024) - [i21]Kai Chen, Zihao He, Keith Burghardt, Jingxin Zhang, Kristina Lerman:
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. CoRR abs/2401.08202 (2024) - [i20]Minh Duc Chu, Aryan Karnati, Zihao He, Kristina Lerman:
Characterizing Online Eating Disorder Communities with Large Language Models. CoRR abs/2401.09647 (2024) - [i19]Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman:
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. CoRR abs/2402.01091 (2024) - [i18]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Whose Emotions and Moral Sentiments Do Language Models Reflect? CoRR abs/2402.11114 (2024) - [i17]Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman:
How Susceptible are Large Language Models to Ideological Manipulation? CoRR abs/2402.11725 (2024) - [i16]Abhishek Anand, Negar Mokhberian, Prathyusha Naresh Kumar, Anweasha Saha, Zihao He, Ashwin Rao, Fred Morstatter, Kristina Lerman:
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations. CoRR abs/2403.04085 (2024) - [i15]Zihao He, Rebecca Dorn, Siyi Guo, Minh Duc Chu, Kristina Lerman:
COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities. CoRR abs/2406.12074 (2024) - [i14]Cinthia Sánchez, Minh Duc Chu, Zihao He, Rebecca Dorn, Stuart Murray, Kristina Lerman:
Feelings about Bodies: Emotions on Diet and Fitness Forums Reveal Gendered Stereotypes and Body Image Concerns. CoRR abs/2407.03551 (2024) - [i13]Minh Duc Chu, Zihao He, Rebecca Dorn, Kristina Lerman:
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities. CoRR abs/2408.09366 (2024) - 2023
- [j6]Yinghua Wang, Zihao He, Guoming Zhang, Jinming Wen:
Improved Sufficient Conditions Based on RIC of Order 2s for IHT and HTP Algorithms. IEEE Signal Process. Lett. 30: 668-672 (2023) - [j5]Jinming Wen, Hongyu He, Zihao He, Fumin Zhu:
A Pseudo-Inverse-Based Hard Thresholding Algorithm for Sparse Signal Recovery. IEEE Trans. Intell. Transp. Syst. 24(7): 7621-7630 (2023) - [j4]Qiang Li, Miaowen Wen, Jun Li, Zihao He, Yier Yan:
Interplay Between Reconfigurable Intelligent Surfaces and Spatial Modulation: New Application Paradigms. IEEE Wirel. Commun. 30(1): 126-133 (2023) - [c12]Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
Measuring Online Emotional Reactions to Events. ASONAM 2023: 315-319 - [c11]Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song:
ALCAP: Alignment-Augmented Music Captioner. EMNLP 2023: 16501-16512 - [c10]Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. SBP-BRiMS 2023: 44-53 - [i12]Zihao He, Jonathan May, Kristina Lerman:
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities. CoRR abs/2305.09846 (2023) - [i11]Kristina Lerman, Aryan Karnati, Shuchan Zhou, Siyi Chen, Sudesh Kumar, Zihao He, Joanna Yau, Abigail Horn:
Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter. CoRR abs/2305.11316 (2023) - [i10]Keith Burghardt, Ashwin Rao, Siyi Guo, Zihao He, Georgios Chochlakis, Sabyasachee Baruah, Andrew Rojecki, Shri Narayanan, Kristina Lerman:
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. CoRR abs/2305.11867 (2023) - [i9]Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
Measuring Online Emotional Reactions to Offline Events. CoRR abs/2307.10245 (2023) - [i8]Dan Feldman, Ashwin Rao, Zihao He, Kristina Lerman:
Affective Polarization in Social Networks. CoRR abs/2310.18553 (2023) - [i7]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies. CoRR abs/2311.09687 (2023) - 2022
- [j3]Dongyao Jia, Zihao He, Chuanwang Zhang, Wanting Yin, Nengkai Wu, Ziqi Li:
Detection of cervical cancer cells in complex situation based on improved YOLOv3 network. Multim. Tools Appl. 81(6): 8939-8961 (2022) - [j2]Zihao He, Hongyu He, Xiaoli Liu, Jinming Wen:
An Improved Sufficient Condition for Sparse Signal Recovery With Minimization of L1-L2. IEEE Signal Process. Lett. 29: 907-911 (2022) - [c9]Weite Feng, Jinyu Liu, Zixu Guan, Zihao He, Gongping Chen, Yu Dai:
Renal Ultrasound Image Segmentation Based on U-Net and Generative Adversarial Nets. ACIRS 2022: 96-100 - [c8]Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. WASSA@ACL 2022: 71-77 - [i6]Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. CoRR abs/2204.03839 (2022) - [i5]Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. CoRR abs/2212.00339 (2022) - [i4]Zihao He, Weituo Hao, Xuchen Song:
RECAP: Retrieval Augmented Music Captioner. CoRR abs/2212.10901 (2022) - 2021
- [j1]Dechao Bu, Haitao Luo, Peipei Huo, Zhihao Wang, Shan Zhang, Zihao He, Yang Wu, Lianhe Zhao, Jingjia Liu, Jincheng Guo, Shuangsang Fang, Wanchen Cao, Lan Yi, Yi Zhao, Lei Kong:
KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis. Nucleic Acids Res. 49(Webserver-Issue): 317-325 (2021) - [c7]Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. EMNLP (Findings) 2021: 2102-2118 - [c6]Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. EMNLP (Findings) 2021: 2150-2157 - [i3]Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings. CoRR abs/2104.07814 (2021) - [i2]Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. CoRR abs/2109.05056 (2021) - 2020
- [c5]Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang:
Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters. ECCV (2) 2020: 622-638 - [c4]Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan:
Graph Embedding with Personalized Context Distribution. WWW (Companion Volume) 2020: 655-661 - [i1]Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang:
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters. CoRR abs/2007.08194 (2020)
2010 – 2019
- 2019
- [c3]Xiyu Yan, Yeli Xing, Zihao He, Tao Dai, Yong Jiang, Shu-Tao Xia:
Neural Style Transfer with Content Discrimination. ICME Workshops 2019: 78-83 - [c2]Zhihao Ouyang, Yan Feng, Zihao He, Tianbo Hao, Tao Dai, Shu-Tao Xia:
Attentiondrop for Convolutional Neural Networks. ICME 2019: 1342-1347 - [c1]Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng:
Automatic Grassland Degradation Estimation Using Deep Learning. IJCAI 2019: 6028-6034
Coauthor Index
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last updated on 2024-11-15 20:36 CET by the dblp team
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