The effects of perceived overqualification: research, revisit, and reimagination
14:00-15:30
Talk & Lecture
1
2894296
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2024-03-25
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Speaker: Dr Chao Ma, lecturer/assistant professor, Australian National University (ANU)Time: 14:00-15:30, March 29 Venue (offline): Room A723, School of Management, Zijingang CampusVenue (online): Tecent Meeting 947-797-138 Abstract: The effects of perceived overqualification have emerged as a crucial topic for human resource researchers and practitioners to navigate dynamic organizational challenges effectively. This presentation focusing on perceived overqualification will include two components. First, a summary of perceived overqualification research including the introduction of the topic, extant research, and potential directions will be discussed. Second, a present study on perceived overqualification and stress tolerance will be shared.Bio: Dr Chao Ma is currently a Lecturer/Assistant Professor of Management in the Research School of Management, College of Business and Economics, Australian National University (ANU) and the academic lead of ANU Centre for Asian-Australian Leadership.
This presentation focusing on perceived overqualification will include two components. First, a summary of perceived overqualification research including the introduction of the topic, extant research, and potential directions will be discussed. Second, a present study on perceived overqualification and stress tolerance will be shared.
Chao Ma
2024-03-29 14:45:52
Zijingang Campus
Bright and color-stable QLEDs based on top-emission structure
16:30
Talk & Lecture
2
2892283
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2024-03-20
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Speaker: Taesoo Lee, Ph.D., Seoul National UniversityTime: 16:30, April 3 Venue: Room C210, No. 8 Hainayuan Building, Zijingang Campus Abstract: Quantum dot light-emitting diodes (QLEDs) have gamered significant altention as a promising candidate for display technologles, owing to the superior optical properties of colloldal quantum dots (QDs) Multi+lateral efforts have been devoted to improving the performance of QLEDs, ranging from advanced synthesis of QDs to elaborate architectural modifications. Along with these efforts, studies on outcoupling control are needed for QLEDs to be implemented to various next generation optoelectronics, such as wearable devices and augmented realily/virtual realily displays. In this regard, top-emission structure is an attractive device architecture that can successfully address this issue. In this presentation, l introduce elaborate optimizations of top-emission structure, realizing record-high current efficiencies and extremely high luminance. In additlion, control of angular emission profiles of top-emitting OLEDs is introduced to emit angle-independent light emission. l believe that this research can give better insights about realizing high-power and color-stable QLEDs, expanding their potential applications to various industries.Biography: Taesoo Lee received his Ph.D. from Seoul National University (SNU). His research interest includes improving the performance and investigating the driving mechanisms of various optoelectronic devices, such as quantum dot light-emitting diodes (QLEDs), perovskite LEDs, and organic LEDs.
Taesoo Lee received his Ph.D. from Seoul National University (SNU). His research interest includes improving the performance and investigating the driving mechanisms of various optoelectronic devices, such as quantum dot light-emitting diodes (QLEDs), perovskite LEDs, and organic LEDs.
Taesoo Lee
2024-04-03 10:20:15
Zijingang Campus
Quantum dot light-emitting diodes for future displays
15:30
Talk & Lecture
3
2892292
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2024-03-20
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Speaker: Prof. Jeonghun Kwak, Seoul National UniversityTime: 15:30, April 3 Venue: Room C210, No. 8 Hainayuan Building, Zijingang Campus Abstract: Quantum dot (QD) light-emiting diodes (QLEDs) are considered one of the most promising devices for future full-color displays due to their high color purity with narrow emission bandwidth, high brightness, and solution processability. However, fundamental mechanisms, such as charge injection into QDs, exciton recombination, and operational stability, should be understood to realize the QLED displays. In this presentation, a recent research progress in my group, including the mechanisms of charge carrier and exciton dynamics in QLEDs and the device design and fabrication processes to achieve high performance QLEDs, are discussed.Biography: Jeonghun Kwak received his B.S. (2005) and Ph.D. (2010) degrees in Electrical Engineering from SNU. Since March 2019, he has been an associate professor at the Department of Electrical and Computer Engineering, SNU. His current research interests focus on opto- and nano-electronic devices, such as QLEDs, organic thermoelectric devices, and neuromorphic devices based on organic molecules and low-dimensional materials.
Jeonghun Kwak received his B.S. (2005) and Ph.D. (2010) degrees in Electrical Engineering from SNU. Since March 2019, he has been an associate professor at the Department of Electrical and Computer Engineering, SNU. His current research interests focus on opto- and nano-electronic devices, such as QLEDs, organic thermoelectric devices, and neuromorphic devices based on organic molecules and low-dimensional materials.
Jeonghun Kwak
2024-04-03 10:32:41
Zijingang Campus
The invention of Rome
19:00-21:00
Talk & Lecture
4
2892408
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2024-03-19
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Speaker: Prof. Piero Boitani, University of Rome 'Sapienza'Time: 19:00-21:00, March 29 Venue: Tecent Meeting 644-734-466 (Online)Live streaming: https://ive.bilibili.com/24519212 Abstract: How did Rome manage to conquer the entire world (meaning Europe and the Mediterranean) in only 63 years? I try to answer this question with a series of hypotheses, then move on to the Augustan ideal proposed by Virgil in the Aeneid and supported by Horace and many others. But Roman authors such as Julius Caesar, Sallustio, and above all Tacitus present Who answer theod Romans Rus invenied li impt aim and anti-imperialism for the world to come. The talk offers a series of pictures showing the relevant monuments of Rome.Bio: Piero Boltan is Professor Emeritus of Comparative Literature at the University of Rome 'Sapienza'. A Fellow of the British Academy, the Medieval Academy of America, and the Accademia dei Lincei, he received in 2016 the prestigious Balzan Prize. His most recent books in English include The Machine of the World: The Modern Cosmos (2018) and A New Sublime: Ten Timeless Lessons on the Classics (2020).
Piero Boltan is Professor Emeritus of Comparative Literature at the University of Rome 'Sapienza'. A Fellow of the British Academy, the Medieval Academy of America, and the Accademia dei Lincei.
Piero Boitani
2024-03-29 15:28:19
Online
Writing for journal publication
13:30-16:30
Talk & Lecture
5
2892389
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2024-03-19
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Speaker:Sandro Jung, distinguished professor of Fudan University, editor in Chief of ANQTime: 13:30-16:30, March 22 Venue: Zijingang Theater 2FB-203, Zijingang Campus Abstract: This presentation will offer practical advice on the writing of articles aimed at A&HCI journals. It will introduce, on the basis of concrete examples, strategies that will enable authors to articulate their research agendas and aims, as well as to anchor their arguments within the state-of-the-art. The focus of the presentation will be to point out and explain differences between a range of journal publishing practices, as well as to instruct the audience practically in what to pay attention to in their writing and what to avoid.
This presentation will offer practical advice on the writing of articles aimed at A&HCI journals.
Sandro Jung
2024-03-22 15:05:01
Zijingang Campus
Reading and interpreting: basics of Japanese literature research
10:00-12:15
Talk & Lecture
6
2889289
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2024-03-11
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Speaker: Tsuyoshi Namigata, professor, Kyushu UniversityTime: 10:00-12:15, March 12Venue: East 1A-504, Zijingang CampusAbstract: Tsuyoshi Namigata is a Professor of Modern Japanese Literature and Comparative Literature at the Graduate School of Social and Cultural Studies, Kyushu University, Japan. He was a visiting scholar at the Institute for Japanese Studies of Seoul National University, Korea, 2011-2012, and the Harvard-Yenching Institute, the United States, 2022-2023. He published his Ph.D. dissertation as a monograph of Ekkyo no Avangyarudo [Border-Crossings in the Japanese Avantgarde] in 2005, later translated into Korean in 2013. He is now trying to examine the historical meaning of Japanese literary modernism during wartime and write the regional history of literary modernism in East Asia.
Tsuyoshi Namigata is a Professor of Modern Japanese Literature and Comparative Literature at the Graduate School of Social and Cultural Studies, Kyushu University, Japan.
Tsuyoshi Namigata
2024-03-12 17:27:11
Zijingang Campus
Weak identification of long memory with implications for volatility modeling
14:00
Talk & Lecture
7
2887878
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2024-03-11
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Speaker Prof. YU Jun, University of MacauTime: 14:00, March 18Avenue: Room 530, School of Economics, Zijingang CampusAbstract: Professor Jun Yu is currently UMDF chair Professor of Finance and Economics at the University of Macau and Dean of the Faculty of Business Administration at the University of Macau. Professor Yu haspublished more than 90 papers. Many of these publications are in leading journals in finance and economics, including Review of Financial Studies, Journal of Econometrics, Management Science and International Economic Review. His articles for detecting the presence of asset pricebubbles and estimating their origination and termination dates have initiated a new area of research on the econometric analysis of bubbles infinancial assets and real estate. Professor Yu is an inaugural fellow of the Society of Financial Econometrics and also a fellow of the Journal of Econometrics. He serves as an Associate Editor of the Journal of Econometrics and Econometric Theory.
Professor Jun Yu is currently UMDF chair Professor of Finance andEconomics at the University of Macau and Dean of the Faculty of Business Administration at the University of Macau.
Jun Yu
2024-03-18 11:40:10
Zijingang Campus
A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification
14:00
Talk & Lecture
8
2884705
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2024-03-04
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Speaker: Bradley Rava, Lecturer, University of SydneyTime: 14:00, March 15Venue: Room 1417, Administrative Building, Zijingang CampusAbstract: We investigate fairness in classification, where automated decisions are made for individuals from different protected groups. In high-consequence scenarios, decision errors can disproportionately affect certain protected groups, leading to unfair outcomes. To address this issue, we propose a fairness-adjusted selective inference (FASI) framework and develop data-driven algorithms that achieve statistical parity by controlling and equalizing the false selection rate (FSR) among protected groups. Our FASI algorithm operates by converting the outputs of black-box classifiers into R-values, which are both intuitive and computationally efficient. The selection rules based on R-values, which effectively mitigate disparate impacts on protected groups, are provably valid for FSR control in finite samples. We demonstrate the numerical performance of our approach through both simulated and real data.Bio: Brad Rava is a Lecturer in the discipline of Business Analytics at the University of Sydney's Business School. His research focuses on Empirical Bayes techniques, Fairness in Machine Learning, Statistical Machine Learning, and High Dimensional Statistics. Brad Rava’s research interests focus modern statistical methods for addressing pressing societal problems that arise from combining automated decision making with high-risk scenarios. To properly communicate uncertainty in these high-risk scenarios, Brad’s research has drawn upon Empirical Bayes techniques, Fairness in Machine Learning, Statistical Machine Learning, and High Dimensional Statistics.
We propose a fairness-adjusted selective inference (FASI) framework and develop data-driven algorithms that achieve statistical parity by controlling and equalizing the false selection rate (FSR) among protected groups.
Bradley Rava
2024-03-15 17:07:38
Zijingang Campus
Preconditioned Riemannian Gradient Descent for Low-Rank Matrix Recovery Problems
10:00
Talk & Lecture
9
2884699
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2024-03-04
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Speaker: Prof. Jianfeng CAI, Hong Kong University of Science and TechnologyTime: 10:00, March 11Venue: Room 1417, Administrative Building, Zijingang CampusAbstract: The challenge of recovering low-rank matrices from linear samples is a common issue in various fields, including machine learning, imaging, signal processing, and computer vision. Non-convex algorithms have proven to be highly effective and efficient for low-rank matrix recovery, providing theoretical guarantees despite the potential for local minima. This talk presents a unifying framework for non-convex low-rank matrix recovery algorithms using Riemannian gradient descent. We demonstrate that numerous well-known non-convex low-rank matrix recovery algorithms can be considered special instances of Riemannian gradient descent, employing distinct Riemannian metrics and retraction operators. Consequently, we can pinpoint the optimal metrics and develop the most efficient non-convex algorithms. To illustrate this, we introduce a new preconditioned Riemannian gradient descent algorithm, which accelerates matrix completion tasks by more than ten times compared to traditional methods.
This talk presents a unifying framework for non-convex low-rank matrix recovery algorithms using Riemannian gradient descent.
Jianfeng CAI
2024-03-11 16:44:19
Zijingang Campus