Vikas Chandra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
82
Venues
27
Active years
2002–2026
Best venue rank
A*
Where they publish
- ADATE13 papers
- A*CVPR7 papers
- MulticonferenceICASSP7 papers
- A*ACL6 papers
- A*ICML6 papers
- A*DAC5 papers
- AISLPED5 papers
- A*ICLR3 papers
- A*ECCV3 papers
- BASPDAC3 papers
- ANAACL2 papers
- A*EMNLP2 papers
- A*ASPLOS2 papers
- AInterspeech2 papers
- A*ISCA2 papers
- AFPGA2 papers
- AICCAD2 papers
- AAISTATS1 paper
- A*ICCV1 paper
- AWACV1 paper
- A*AAAI1 paper
- A*HPCA1 paper
- Journal PublishedCASES1 paper
- BICONIP1 paper
- CIOLTS1 paper
- NationalVLSID1 paper
- CICCD1 paper
Papers
82 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment. | Hanxian Huang, Igor Fedorov, Andrey Gromov, Bernard Beckerman, Naveen Suda, David Eriksson, Maximilian Balandat, Rylan Conway, Patrick Huber, Chinnadhurai Sankar, Ayushi Dalmia, Zechun Liu, Lemeng Wu, Tarek Elgamal, Adithya Sagar, Vikas Chandra, Raghuraman Krishnamoorthi |
| 2025 | ACL | AutoMixer: Checkpoint Artifacts as Automatic Data Mixers. | Ernie Chang, Yang Li, Patrick Huber, Vish Vogeti, David Kant, Yangyang Shi, Vikas Chandra |
| 2025 | AISTATS | SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. | Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra |
| 2025 | CVPR | EdgeTAM: On-Device Track Anything Model. | Chong Zhou, Chenchen Zhu, Yunyang Xiong, Saksham Suri, Fanyi Xiao, Lemeng Wu, Raghuraman Krishnamoorthi, Bo Dai, Chen Change Loy, Vikas Chandra, Bilge Soran |
| 2025 | ICCV | Efficient Track Anything. | Yunyang Xiong, Chong Zhou, Xiaoyu Xiang, Lemeng Wu, Chenchen Zhu, Zechun Liu, Saksham Suri, Balakrishnan Varadarajan, Ramya Akula, Forrest N. Iandola, Raghuraman Krishnamoorthi, Bilge Soran, Vikas Chandra |
| 2025 | ICLR | SpinQuant: LLM Quantization with Learned Rotations. | Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort |
| 2025 | ICML | LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. | Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra |
| 2025 | ICML | Agent-as-a-Judge: Evaluate Agents with Agents. | Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jrgen Schmidhuber |
| 2025 | NAACL | Self-Vocabularizing Training for Neural Machine Translation. | Pin-Jie Lin, Ernie Chang, Yangyang Shi, Vikas Chandra |
| 2025 | NAACL | Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions. | Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra |
| 2024 | ACL | Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. | Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | ACL | LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. | Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | CVPR | Taming Mode Collapse in Score Distillation for Text-to-3D Generation. | Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra |
| 2024 | CVPR | EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. | Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | ECCV | CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians. | Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari |
| 2024 | ECCV | MVDiffusion++: A Dense High-Resolution Multi-view Diffusion Model for Single or Sparse-View 3D Object Reconstruction. | Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan |
| 2024 | EMNLP | Target-Aware Language Modeling via Granular Data Sampling. | Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra |
| 2024 | EMNLP | Scaling Parameter-Constrained Language Models with Quality Data. | Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao, Patrick Huber, Zechun Liu, Rastislav Rabatin, Yangyang Shi, Vikas Chandra |
| 2024 | ICASSP | In-Context Prompt Editing for Conditional Audio Generation. | Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gal Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra |
| 2024 | ICASSP | On the Open Prompt Challenge in Conditional Audio Generation. | Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra |
| 2024 | ICASSP | Stack-and-Delay: A New Codebook Pattern for Music Generation. | Gal Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra |
| 2024 | ICASSP | Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition. | Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra |
| 2024 | ICASSP | TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. | Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra |
| 2024 | ICML | MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. | Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra |
| 2023 | ACL | Revisiting Sample Size Determination in Natural Language Understanding. | Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra |
| 2023 | ACL | Towards Zero-Shot Multilingual Transfer for Code-Switched Responses. | Ting-Wei Wu, Changsheng Zhao, Ernie Chang, Yangyang Shi, Pierce Chuang, Vikas Chandra, Biing-Hwang Juang |
| 2023 | ASPLOS | DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. | Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra |
| 2023 | CVPR | Fast Point Cloud Generation with Straight Flows. | Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu |
| 2022 | CVPR | Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. | Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan |
| 2022 | DAC | Contrastive quant: quantization makes stronger contrastive learning. | Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin |
| 2022 | ICASSP | Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. | Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra |
| 2022 | ICLR | NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. | Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra |
| 2022 | ICML | DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. | Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin |
| 2022 | Interspeech | Streaming parallel transducer beam search with fast slow cascaded encoders. | Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer |
| 2022 | WACV | Feature-Align Network with Knowledge Distillation for Efficient Denoising. | Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra |
| 2021 | AAAI | NASGEM: Neural Architecture Search via Graph Embedding Method. | Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen |
| 2021 | ASPDAC | Improving Efficiency in Neural Network Accelerator using Operands Hamming Distance Optimization. | Meng Li, Yilei Li, Vikas Chandra |
| 2021 | ASPLOS | Mind mappings: enabling efficient algorithm-accelerator mapping space search. | Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher |
| 2021 | CVPR | KeepAugment: A Simple Information-Preserving Data Augmentation Approach. | Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu |
| 2021 | CVPR | AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. | Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra |
| 2021 | HPCA | Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. | Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra |
| 2021 | ICASSP | Memory-Efficient Speech Recognition on Smart Devices. | Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra |
| 2021 | ICLR | CPT: Efficient Deep Neural Network Training via Cyclic Precision. | Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin |
| 2021 | ICML | Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. | Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin |
| 2021 | ICML | AlphaNet: Improved Training of Supernets with Alpha-Divergence. | Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra |
| 2021 | Interspeech | Collaborative Training of Acoustic Encoders for Speech Recognition. | Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra |
| 2021 | ISLPED | DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. | Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin |
| 2020 | DAC | Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. | Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi |
| 2020 | ECCV | One Weight Bitwidth to Rule Them All. | Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu |
| 2020 | ISCA | RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. | Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang |
| 2018 | ISCA | Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network. | Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh |
| 2017 | DAC | Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack. | Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan |
| 2017 | DATE | Exploiting data-dependence and Flip-Flop asymmetry for zero-overhead system soft error mitigation. | Vikas Chandra, Liangzhen Lai |
| 2016 | FPGA | Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks. | Naveen Suda, Vikas Chandra, Ganesh Dasika, Abinash Mohanty, Yufei Ma, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao |
| 2016 | ICCAD | Resiliency in dynamically power managed designs. | Liangzhen Lai, Vikas Chandra, Rob Aitken |
| 2015 | CASES | Evaluating and exploiting impacts of dynamic power management schemes on system reliability. | Liangzhen Lai, Vikas Chandra, Puneet Gupta |
| 2014 | ASPDAC | Quantifying workload dependent reliability in embedded processors. | Vikas Chandra |
| 2014 | DAC | Monitoring Reliability in Embedded Processors - A Multi-layer View. | Vikas Chandra |
| 2014 | DATE | Cross layer resiliency in real world. | Vikas Chandra, Subhasish Mitra, Chen-Yong Cher, Silvia Melitta Mller |
| 2014 | ISLPED | A digital dynamic write margin sensor for low power read/write operations in 28nm SRAM. | Peter Beshay, Vikas Chandra, Rob Aitken, Benton H. Calhoun |
| 2013 | DATE | Leveraging sensitivity analysis for fast, accurate estimation of SRAM dynamic write V | James Boley, Vikas Chandra, Robert C. Aitken, Benton H. Calhoun |
| 2013 | DATE | SlackProbe: a low overhead in situ on-line timing slack monitoring methodology. | Liangzhen Lai, Vikas Chandra, Robert C. Aitken, Puneet Gupta |
| 2012 | DAC | Exploring sub-20nm FinFET design with predictive technology models. | Saurabh Sinha, Greg Yeric, Vikas Chandra, Brian Cline, Yu Cao |
| 2012 | ISLPED | An adaptive write word-line pulse width and voltage modulation architecture for bit-interleaved 8T SRAMs. | Daeyeon Kim, Vikas Chandra, Robert C. Aitken, David T. Blaauw, Dennis Sylvester |
| 2012 | ISLPED | Design benchmarking to 7nm with FinFET predictive technology models. | Saurabh Sinha, Brian Cline, Greg Yeric, Vikas Chandra, Yu Cao |
| 2011 | ASPDAC | On the impact of gate oxide degradation on SRAM dynamic and static write-ability. | Vikas Chandra, Robert C. Aitken |
| 2011 | DATE | Analytical model for SRAM dynamic write-ability degradation due to gate oxide breakdown. | Vikas Chandra, Robert C. Aitken |
| 2011 | DATE | Dynamic write limited minimum operating voltage for nanoscale SRAMs. | Satyanand Nalam, Vikas Chandra, Robert C. Aitken, Benton H. Calhoun |
| 2011 | ICONIP | Analysis of Beliefs of Survivors of the 7/7 London Bombings: Application of a Formal Model for Contagion of Mental States. | Tibor Bosse, Vikas Chandra, Eve Mitleton-Kelly, C. Natalie van der Wal |
| 2011 | ISLPED | Variation-aware static and dynamic writability analysis for voltage-scaled bit-interleaved 8-T SRAMs. | Daeyeon Kim, Vikas Chandra, Robert C. Aitken, David T. Blaauw, Dennis Sylvester |
| 2010 | DATE | On the efficacy of write-assist techniques in low voltage nanoscale SRAMs. | Vikas Chandra, Cezary Pietrzyk, Robert C. Aitken |
| 2010 | DATE | Analytical model for TDDB-based performance degradation in combinational logic. | Mihir R. Choudhury, Vikas Chandra, Kartik Mohanram, Robert C. Aitken |
| 2010 | DATE | TIMBER: Time borrowing and error relaying for online timing error resilience. | Mihir R. Choudhury, Vikas Chandra, Kartik Mohanram, Robert C. Aitken |
| 2010 | DATE | A black box method for stability analysis of arbitrary SRAM cell structures. | Michael Wieckowski, Dennis Sylvester, David T. Blaauw, Vikas Chandra, Sachin Idgunji, Cezary Pietrzyk, Robert C. Aitken |
| 2009 | DATE | Impact of voltage scaling on nanoscale SRAM reliability. | Vikas Chandra, Robert C. Aitken |
| 2009 | IOLTS | Designing dependable multicore system with unreliable components. | Vikas Chandra |
| 2009 | VLSID | Robust Circuit Design: Challenges and Solutions. | Saurabh K. Tiwary, Amith Singhee, Vikas Chandra |
| 2004 | DATE | An Interconnect Channel Design Methodology for High Performance Integrated Circuits. | Vikas Chandra, Anthony Xu, Herman Schmit, Lawrence T. Pileggi |
| 2004 | ICCAD | A power aware system level interconnect design methodology for latency-insensitive systems. | Vikas Chandra, Herman Schmit, Anthony Xu, Lawrence T. Pileggi |
| 2003 | DATE | Heterogeneous Programmable Logic Block Architectures. | Aneesh Koorapaty, Vikas Chandra, Kim Yaw Tong, Chetan Patel, Lawrence T. Pileggi, Herman Schmit |
| 2003 | ICCD | Dynamically Optimized Synchronous Communication for Low Power System on Chip Designs. | Vikas Chandra, Gary D. Carpenter, Jeffrey L. Burns |
| 2002 | FPGA | FPGA switch block layout and evaluation. | Herman Schmit, Vikas Chandra |