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Publication search results
found 347 matches
- 2024
- Paul-Emile Maingé, André Weng-Law:
Accelerated forward-backward algorithms for structured monotone inclusions. Comput. Optim. Appl. 88(1): 167-215 (2024) - Caroline Accurso, Vitaliy Chernyshov, Leaha Hand, Sogol Jahanbekam, Paul S. Wenger:
Weak Dynamic Coloring of Planar Graphs. Graphs Comb. 40(2): 27 (2024) - Ruikun Luo, Yifan Weng, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, Tulga Ersal, X. Jessie Yang:
Real-Time Workload Estimation Using Eye Tracking: A Bayesian Inference Approach. Int. J. Hum. Comput. Interact. 40(15): 4042-4057 (2024) - Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu:
A survey on interpretable reinforcement learning. Mach. Learn. 113(8): 5847-5890 (2024) - Wenbin Ouyang, Yisen Wang, Paul Weng, Shaochen Han:
Generalization in Deep RL for TSP Problems via Equivariance and Local Search. SN Comput. Sci. 5(4): 369 (2024) - Haoyu Gong, Wen-Liang Zeng, Mingqiang Guo, Chi-Seng Lam, Shulin Zhao, Rui Paulo Martins, Sai-Weng Sin:
A 75dB-SNDR 10MHz-BW 2-Channel Time-Interleaved Noise-Shaping SAR ADC Directly Powered by an On-Chip DC-DC Converter. CICC 2024: 1-2 - Ke Li, Xianyu Congzhou, Liang Qi, Mingqiang Guo, Rui Paulo Martins, Sai-Weng Sin:
A 160MHz-BW 68dB-SNDR 30.8mW Continuous-Time Pipeline DSM with Correlative Passive Low-Pass Filters and DAC Image Pre-Filtering. CICC 2024: 1-2 - Jianshu Hu, Yunpeng Jiang, Paul Weng:
Revisiting Data Augmentation in Deep Reinforcement Learning. ICLR 2024 - Han Fang, Zhihao Song, Paul Weng, Yutong Ban:
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. ICML 2024 - Ran Zhang, Ka-Fai Un, Mingqiang Guo, Liang Qi, Dengke Xu, Weibing Zhao, Rui Paulo Martins, Franco Maloberti, Sai-Weng Sin:
A Delta-Sigma-Based Computing-In-Memory Macro Targeting Edge Computation. ISCAS 2024: 1-5 - Han Fang, Zhihao Song, Paul Weng, Yutong Ban:
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. CoRR abs/2402.02317 (2024) - Zhaohui Jiang, Paul Weng:
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning. CoRR abs/2402.03329 (2024) - Jianshu Hu, Yunpeng Jiang, Paul Weng:
Revisiting Data Augmentation in Deep Reinforcement Learning. CoRR abs/2402.12181 (2024) - Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari:
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR abs/2406.06512 (2024) - Yunpeng Jiang, Paul Weng, Yutong Ban:
Enhancing Class Fairness in Classification with A Two-Player Game Approach. CoRR abs/2407.03146 (2024) - Jean Marie Tshimula, Mitterrand Kalengayi, Dieumerci Makenga, Dorcas Lilonge, Marius Asumani, Déborah Madiya, Élie Nkuba Kalonji, Hugues Kanda, René Manassé Galekwa, Josias Kumbu, Hardy Mikese, Grace Tshimula, Jean Tshibangu Muabila, Christian N. Mayemba, D'Jeff K. Nkashama, Kalonji Kalala, Steve Ataky, Tighana Wenge Basele, Mbuyi Mukendi Didier, Selain K. Kasereka, Maximilien V. Dialufuma, Godwill Ilunga Wa Kumwita, Lionel Muyuku, Jean-Paul Kimpesa, Dominique Muteba, Aaron Aruna Abedi, Lambert Mukendi Ntobo, Gloria M. Bundutidi, Désiré Kulimba Mashinda, Emmanuel Kabengele Mpinga, Nathanaël M. Kasoro:
Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities. CoRR abs/2408.02575 (2024) - Jianshu Hu, Paul Weng, Yutong Ban:
State-Novelty Guided Action Persistence in Deep Reinforcement Learning. CoRR abs/2409.05433 (2024) - 2023
- Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang:
Analytics and machine learning in vehicle routing research. Int. J. Prod. Res. 61(1): 4-30 (2023) - Ya-Jie Wu, Ricardo Brito, Wai-Hei Choi, Chi-Seng Lam, Man-Chung Wong, Sai-Weng Sin, Rui Paulo Martins:
IoT Cloud-Edge Reconfigurable Mixed-Signal Smart Meter Platform for Arc Fault Detection. IEEE Internet Things J. 10(2): 1682-1695 (2023) - Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen:
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30(3): 427-437 (2023) - Caolei Pan, Wen-Liang Zeng, Chi-Seng Lam, Sai-Weng Sin, Chenchang Zhan, Rui Paulo Martins:
A 95% Peak Efficiency Modified KY Converter With Improved Flying Capacitor Charging in DCM for IoT Applications. IEEE J. Solid State Circuits 58(11): 3219-3230 (2023) - Shulin Zhao, Mingqiang Guo, Liang Qi, Dengke Xu, Guoxing Wang, Rui Paulo Martins, Sai-Weng Sin:
A 3.07 mW 30 MHz-BW 73.2 dB-SNDR Time- Interleaved Noise-Shaping SAR ADC With Self-Coupling Second-Order Error-Feedforward. IEEE J. Solid State Circuits 58(10): 2722-2732 (2023) - Mingqiang Guo, Liang Qi, Weibing Zhao, Gang Xiao, Rui Paulo Martins, Sai-Weng Sin:
A 10b 700 MS/s Single-Channel 1b/Cycle SAR ADC Using a Monotonic-Specific Feedback SAR Logic With Power-Delay-Optimized Unbalanced N/P-MOS Sizing. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4767-4780 (2023) - Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu:
Differentiable Logic Machines. Trans. Mach. Learn. Res. 2023 (2023) - Junqi Qian, Paul Weng, Chenmien Tan:
Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning. AAMAS 2023: 1951-1960 - Guanbao Yu, Umer Siddique, Paul Weng:
Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions. AAMAS Workshops 2023: 3-29 - Ruiqi Gao, Mingqiang Guo, Sai-Weng Sin, Liang Qi, Biao Wang, Guoxing Wang, Rui Paulo Martins:
Weightings in Incremental ADCs: A Tutorial Review. CICC 2023: 1-8 - Guanbao Yu, Umer Siddique, Paul Weng:
Fair Deep Reinforcement Learning with Preferential Treatment. ECAI 2023: 2922-2929 - Wen-Liang Zeng, Guigang Cai, Chon-Fai Lee, Chi-Seng Lam, Yan Lu, Sai-Weng Sin, Rui Paulo Martins:
A 12V-lnput 1V-1.8V-Output 93.7% Peak Efficiency Dual-Inductor Quad-Path Hybrid DC-DC Converter. ISSCC 2023: 200-201 - Thi Quynh Trang Vo, Mourad Baïou, Viet Hung Nguyen, Paul Weng:
Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine Learning. LION 2023: 537-551
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