| 2026 | AAAI | Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression. | Jiameng Huang, Baijiong Lin, Guhao Feng, Jierun Chen, Di He, Lu Hou |
| 2026 | ACL | SWE-Swiss: A Multi-Task Fine-Tuning and RL Recipe for High-Performance Issue Resolution. | Zhenyu He, Qingping Yang, Wei Shen, Xiaojian Zhong, Kechi Zhang, Chenxin An, Wenlei Shi, Tianle Cai, Di He, Jiaze Chen, Jingjing Xu |
| 2026 | ACL | Ted-Tok: Maintaining an Evolving Vocabulary for Lifelong Learning. | Jiameng Huang, Zhi Zhang, Zhenyu He, Jiacheng Sun, Di He |
| 2026 | ACL | AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse. | Zhang Zhang, Shuqi Lu, Hongjin Qian, Di He, Zheng Liu |
| 2026 | EACL | Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning. | Qifan Yu, Zhenyu He, Sijie Li, Zhou Xun, Jun Zhang, Jingjing Xu, Di He |
| 2026 | ISCAS | Accurate Localization of RF Signals Based on Adaptive Normalized SR System and Phase Estimation. | Qichang Yong, Di He |
| 2025 | ACL | How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs. | Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang |
| 2025 | EMNLP | Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs. | Zhang Zhang, Guhao Feng, Jian Guan, Di He, Wei Wu |
| 2025 | GLOBECOM | An Enhanced 3-D Direct Positioning Method with Adaptive Grid Refinement in Indoor Environments. | Yi Jin, Di He, Xuyu Gao, Wenxian Yu |
| 2025 | ICLR | Let the Code LLM Edit Itself When You Edit the Code. | Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He |
| 2025 | ICML | DPO Meets PPO: Reinforced Token Optimization for RLHF. | Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang |
| 2025 | Interspeech | On Retrieval of Long Audios with Complex Text Queries. | Ruochu Yang, Milind Rao, Harshavardhan Sundar, Anirudh Raju, Aparna Khare, Srinath Tankasala, Di He, Venkatesh Ravichandran |
| 2025 | IPIN | Optimized 6G ISAC Beamforming for Target Detection and Localization. | Behzod Mukhiddinov, Di He, Wenxian Yu |
| 2025 | ISCAS | ZSCIL: Zero-Shot Class Incremental Learning Method for Signal Recognition. | Wenjie Sun, Rujun Song, Sidi Liang, Di He, Zhuoling Xiao, Bo Yan |
| 2025 | ISCAS | LoSeVO: Local Sequence Constraints for Deep Visual Odometry. | Xinchen Zhang, Ran Zhu, Rujun Song, Di He, Tingyong Yang, Zhuoling Xiao, Bo Yan |
| 2024 | ACCV | SAMIF: Adapting Segment Anything Model for Image Inpainting Forensics. | Lan Zhang, Xinshan Zhu, Di He, Xin Liao, Biao Sun |
| 2024 | AISTATS | Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. | Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tams Sarls, Thomas Weingarten, Adrian Weller |
| 2024 | ICASSP | Turn-Taking and Backchannel Prediction with Acoustic and Large Language Model Fusion. | Jinhan Wang, Long Chen, Aparna Khare, Anirudh Raju, Pranav Dheram, Di He, Minhua Wu, Andreas Stolcke, Venkatesh Ravichandran |
| 2024 | ICLR | Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. | Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin |
| 2024 | ICLR | Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. | Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang |
| 2024 | ICML | Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. | Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin |
| 2024 | ICML | Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. | Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He |
| 2024 | ICML | GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. | Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang |
| 2024 | ICML | Do Efficient Transformers Really Save Computation? | Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang |
| 2024 | ISCAS | GraSS: Graph Neural Networks for Loop Closure Detection with Semantic and Spatial Assistance. | Shihang Lu, Zhuolin Peng, Zhuoling Xiao, Bo Yan, Shuisheng Lin, Sheng Yu, Di He |
| 2024 | ISCAS | CLFusion: 3D Semantic Segmentation Based on Camera and Lidar Fusion. | Tianyue Wang, Rujun Song, Zhuoling Xiao, Bo Yan, Haojie Qin, Di He |
| 2024 | NAACL | REST: Retrieval-Based Speculative Decoding. | Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D. Lee, Di He |
| 2023 | ACL | Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions. | Yibin Wang, Yichen Yang, Di He, Kun He |
| 2023 | AISTATS | Learning Physics-Informed Neural Networks without Stacked Back-propagation. | Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu |
| 2023 | AISTATS | Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. | Huishuai Zhang, Da Yu, Yiping Lu, Di He |
| 2023 | ASRU | Two-Pass Endpoint Detection for Speech Recognition. | Anirudh Raju, Aparna Khare, Di He, Ilya Sklyar, Long Chen, Sam Alptekin, Viet Anh Trinh, Zhe Zhang, Colin Vaz, Venkatesh Ravichandran, Roland Maas, Ariya Rastrow |
| 2023 | CVPR | DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. | Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang |
| 2023 | ICASSP | Towards Accurate and Real-Time End-of-Speech Estimation. | Yifeng Fan, Colin Vaz, Di He, Jahn Heymann, Viet Anh Trinh, Zhe Zhang, Venkatesh Ravichandran |
| 2023 | ICASSP | Adaptive Endpointing with Deep Contextual Multi-Armed Bandits. | Do June Min, Andreas Stolcke, Anirudh Raju, Colin Vaz, Di He, Venkatesh Ravichandran, Viet Anh Trinh |
| 2023 | ICLR | One Transformer Can Understand Both 2D & 3D Molecular Data. | Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He |
| 2023 | ICLR | Denoising Masked Autoencoders Help Robust Classification. | Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He |
| 2023 | ICLR | Rethinking the Expressive Power of GNNs via Graph Biconnectivity. | Bohang Zhang, Shengjie Luo, Liwei Wang, Di He |
| 2023 | ICML | A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. | Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang |
| 2023 | Interspeech | Personalized Predictive ASR for Latency Reduction in Voice Assistants. | Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow |
| 2023 | ISCAS | One-Reflection Path Assisted Fingerprint Localization Method with Single Base Station under 6G Indoor Environment. | Xuyu Gao, Di He, Pai Wang, Zhicheng Zhou, Zhuoling Xiao, Shintaro Arai |
| 2023 | ISCAS | Mitigating Catastrophic Forgetting in Deep Transfer Learning for Fingerprinting Indoor Positioning. | Heng Pan, Shuang Wei, Di He, Zhuoling Xiao, Shintaro Arai |
| 2022 | ACL | Finding the Dominant Winning Ticket in Pre-Trained Language Models. | Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan |
| 2022 | CVPR | Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. | Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu |
| 2022 | ICASSP | VADOI: Voice-Activity-Detection Overlapping Inference for End-To-End Long-Form Speech Recognition. | Jinhan Wang, Xiaosu Tong, Jinxi Guo, Di He, Roland Maas |
| 2022 | ICLR | Boosting the Certified Robustness of L-infinity Distance Nets. | Bohang Zhang, Du Jiang, Di He, Liwei Wang |
| 2022 | ICML | HousE: Knowledge Graph Embedding with Householder Parameterization. | Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang |
| 2021 | EMNLP | Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. | Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk |
| 2021 | ICLR | Taking Notes on the Fly Helps Language Pre-Training. | Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu |
| 2021 | ICLR | Rethinking Positional Encoding in Language Pre-training. | Guolin Ke, Di He, Tie-Yan Liu |
| 2021 | ICML | GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. | Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang |
| 2021 | ICML | How could Neural Networks understand Programs? | Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu |
| 2021 | ICML | Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons. | Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang |
| 2021 | Interspeech | wav2vec-C: A Self-Supervised Model for Speech Representation Learning. | Samik Sadhu, Di He, Che-Wei Huang, Sri Harish Mallidi, Minhua Wu, Ariya Rastrow, Andreas Stolcke, Jasha Droppo, Roland Maas |
| 2020 | ECCV | Invertible Image Rescaling. | Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu |
| 2020 | GLOBECOM | Localization of 3-D Near-field Sources Based on the Joint Phase Interferometer and MUSIC Algorithm. | Ziwei Ma, Di He, Xin Chen, Wenxian Yu |
| 2020 | ICLR | MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. | Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang |
| 2020 | ICLR | Incorporating BERT into Neural Machine Translation. | Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu |
| 2020 | ICML | On Layer Normalization in the Transformer Architecture. | Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu |
| 2020 | IJCAI | I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. | Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang |
| 2020 | IGARSS | Reducing the Receiving Array Complexity By Using the Parallel Stochastic Resonance System. | Di He, Fusheng Zhu, Lijuan Sun, Wenxian Yu |
| 2020 | ISCAS | RavenFlow: Congestion-Aware Load Balancing in 5G Base Station Network. | Wenjun Wu, Lingge Jiang, Chen He, Di He, Jian Zhang |
| 2020 | ISCAS | SLNR Based Hybrid Precoding for HAP Massive MIMO Systems with Limited RF Chains. | Jian Zhang, Lingge Jiang, Pingping Ji, Chen He, Di He, Wenjun Wu |
| 2019 | AAAI | Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. | ChengYue Gong, Xu Tan, Di He, Tao Qin |
| 2019 | AAAI | Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. | Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu |
| 2019 | AAAI | Non-Autoregressive Machine Translation with Auxiliary Regularization. | Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu |
| 2019 | AAAI | Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. | Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin |
| 2019 | DASC | Evaluation Approach Based upon Knowledge Delivery Process in Smart Teaching Environment. | Chengxin Zhang, Huiquan Zhang, Di He, Fei Hao |
| 2019 | EMNLP | Hint-Based Training for Non-Autoregressive Machine Translation. | Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu |
| 2019 | EMNLP | Multilingual Neural Machine Translation with Language Clustering. | Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu |
| 2019 | EMNLP | Machine Translation With Weakly Paired Documents. | Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
| 2019 | ICASSP | When CTC Training Meets Acoustic Landmarks. | Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen |
| 2019 | ICLR | Representation Degeneration Problem in Training Natural Language Generation Models. | Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu |
| 2019 | ICLR | Multilingual Neural Machine Translation with Knowledge Distillation. | Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu |
| 2019 | ICML | Efficient Training of BERT by Progressively Stacking. | Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu |
| 2019 | ICML | Towards a Deep and Unified Understanding of Deep Neural Models in NLP. | Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie |
| 2019 | IJCAI | Deliberation Learning for Image-to-Image Translation. | Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen |
| 2019 | ISCAS | A Novel Wireless Positioning Approach Based on Distributed Stochastic-Resonance-Enhanced Power Spectrum Fusion Technique. | Di He, Xin Chen, Danping Zou, Ling Pei, Lingge Jiang |
| 2019 | ISCAS | Stable and Fair Quantized Notification for 5G Mobile Network. | Yu Sun, Lingge Jiang, Chen He, Di He, Ping Li |
| 2019 | ISCAS | Positioning-Aided Scheme for Image Sensor Communication using Single-View Geometry. | Zhengqiang Tang, Di He, Shintaro Arai, Danping Zou |
| 2018 | COLING | Double Path Networks for Sequence to Sequence Learning. | Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu |
| 2018 | EMNLP | Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. | Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
| 2018 | ICML | Towards Binary-Valued Gates for Robust LSTM Training. | Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu |
| 2018 | Interspeech | Improved ASR for Under-resourced Languages through Multi-task Learning with Acoustic Landmarks. | Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen |
| 2018 | ISCAS | An Improved Kernel Clustering Algorithm Used in Computer Network Intrusion Detection. | Di He, Xin Chen, Danping Zou, Ling Pei, Lingge Jiang |
| 2018 | ISCAS | Uplink Power Control Approach Based on Adaptive Chaotic Simulated Annealing. | Di He, Xin Chen, Danping Zou, Ling Pei, Lingge Jiang |
| 2018 | NAACL | Dense Information Flow for Neural Machine Translation. | Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu |
| 2017 | ICCAD | Machine learning on FPGAs to face the IoT revolution. | Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen |
| 2017 | ICCAD | Machine learning on FPGAs to face the IoT revolution. | Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen |
| 2017 | Interspeech | Using Approximated Auditory Roughness as a Pre-Filtering Feature for Human Screaming and Affective Speech AED. | Di He, Zuofu Cheng, Mark Hasegawa-Johnson, Deming Chen |
| 2016 | IGARSS | Spatial-temporal reasoning of Geovideo data based on ontology. | Yan Zhou, Zhe Wang, Di He |
| 2015 | GLOBECOM | A Novel Spectrum Sensing Method in Cognitive Radio Networks Based on Graph Theory. | Di He |
| 2013 | COLT | A Theoretical Analysis of NDCG Type Ranking Measures. | Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu |
| 2013 | IJCAI | A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. | Di He, Wei Chen, Liwei Wang, Tie-Yan Liu |
| 2012 | ISCAS | An enhanced covariance spectrum sensing technique based on stochastic resonance in cognitive radio networks. | Di He, Winston Li, Fusheng Zhu, Weiyao Lin |
| 2011 | ISCAS | Improving the computer network intrusion detection performance using the relevance vector machine with Chebyshev chaotic map. | Di He |
| 2011 | ISCAS | Optimization of quartic double-well bistable stochastic resonance system. | Di He |
| 2010 | ISCAS | Breaking the SNR wall of spectrum sensing in cognitive radio by using the chaotic stochastic resonance. | Di He |
| 2010 | ISCAS | Optimal stochastic resonance under low signal-to-noise ratio circumstances. | Di He |
| 2010 | SiggraphA | The birthday gift. | Di He, Pan Li, Jiong Li |
| 2009 | GLOBECOM | Signal Estimation in Clutter Using SVM-Based Chaos Synchronization. | Di He |
| 2009 | ICINCO | Generating High-speed Three-dimensional Dynamic Quadruped Walking using an Evolutionary Search. | Di He, Qining Wang, Chunxia Rong, Guangming Xie |
| 2004 | ISCAS | A novel CFAR intrusion detection method using chaotic stochastic resonance. | Di He, Henry Leung |
| 2001 | ISCAS | Phase tracking of CDMA spreading sequences using dynamic chaotic synchronization. | Di He, Chen He, Ling-ge Jiang, Hong-Wen Zhu, Guang-Rui Hu |